19 STROBE — observational studies

STROBE — Strengthening the Reporting of Observational Studies in Epidemiology — covers cohort, case-control, and cross-sectional studies. The 22-item checklist is at https://www.strobe-statement.org/. The templates below cover the analytic methods you are most likely to use in a STROBE-aligned paper.

This page contains 186 method-specific templates. Each is a skeleton with placeholders in italics; the prose is written so you can paste it into a manuscript and replace only the bracketed values.

19.0.1 2^k Factorial Designs

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using 2^k Factorial Designs as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

2^k Factorial Designs yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → factorial-2k — For Reviewers

19.0.2 3^k Factorial Designs

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using 3^k Factorial Designs as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

3^k Factorial Designs yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → factorial-3k — For Reviewers

19.0.3 Accelerated Failure Time Models

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Accelerated Failure Time Models as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Accelerated Failure Time Models yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → accelerated-failure-time — For Reviewers

19.0.4 Added-Variable Plots

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Added-Variable Plots as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Added-Variable Plots yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → added-variable-plots — For Reviewers

19.0.5 Anderson-Darling Test

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Anderson-Darling Test as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Anderson-Darling Test yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → anderson-darling-test — For Reviewers

19.0.6 Balanced Incomplete Block Designs

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Balanced Incomplete Block Designs as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Balanced Incomplete Block Designs yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → balanced-incomplete-block — For Reviewers

19.0.7 Bartlett’s Test

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Bartlett’s Test as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Bartlett’s Test yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → bartlett-test — For Reviewers

19.0.8 Benjamini-Hochberg FDR

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Benjamini-Hochberg FDR as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Benjamini-Hochberg FDR yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → benjamini-hochberg-fdr — For Reviewers

19.0.9 Benjamini-Yekutieli FDR

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Benjamini-Yekutieli FDR as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Benjamini-Yekutieli FDR yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → benjamini-yekutieli — For Reviewers

19.0.10 Best Subset Selection

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Best Subset Selection as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Best Subset Selection yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → best-subset-selection — For Reviewers

19.0.11 Beta Regression

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Beta Regression as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Beta Regression yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → beta-regression — For Reviewers

19.0.12 Bonferroni Correction

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Bonferroni Correction as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Bonferroni Correction yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → bonferroni-correction — For Reviewers

19.0.13 Bootstrap Confidence Intervals

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Bootstrap Confidence Intervals as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Bootstrap Confidence Intervals yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → bootstrap-confidence-intervals — For Reviewers

19.0.14 Box-Behnken Designs

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Box-Behnken Designs as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Box-Behnken Designs yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → box-behnken-design — For Reviewers

19.0.15 Censoring Types

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Censoring Types as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Censoring Types yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → censoring-types — For Reviewers

19.0.16 Central Composite Designs

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Central Composite Designs as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Central Composite Designs yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → central-composite-design — For Reviewers

19.0.17 Centring and Scaling Predictors

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Centring and Scaling Predictors as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Centring and Scaling Predictors yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → centered-scaled-predictors — For Reviewers

19.0.18 Checking Cox Assumptions

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Checking Cox Assumptions as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Checking Cox Assumptions yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → cox-assumptions-check — For Reviewers

19.0.19 Chi-Squared Goodness-of-Fit Test

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Chi-Squared Goodness-of-Fit Test as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Chi-Squared Goodness-of-Fit Test yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → chi-squared-goodness-of-fit — For Reviewers

19.0.20 Chi-Squared Test of Independence

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Chi-Squared Test of Independence as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Chi-Squared Test of Independence yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → chi-squared-independence — For Reviewers

19.0.21 Cochran-Mantel-Haenszel Test

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Cochran-Mantel-Haenszel Test as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Cochran-Mantel-Haenszel Test yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → cochran-mantel-haenszel — For Reviewers

19.0.22 Competing Risks: Cumulative Incidence

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Competing Risks: Cumulative Incidence as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Competing Risks: Cumulative Incidence yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → competing-risks-cif — For Reviewers

19.0.23 Completely Randomised Design

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Completely Randomised Design as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Completely Randomised Design yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → completely-randomized-design — For Reviewers

19.0.24 Concordance and the C-Index

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Concordance and the C-Index as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Concordance and the C-Index yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → concordance-c-index — For Reviewers

19.0.25 Conditional Survival

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Conditional Survival as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Conditional Survival yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → conditional-survival — For Reviewers

19.0.26 Constrained Mixture Designs

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Constrained Mixture Designs as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Constrained Mixture Designs yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → constrained-mixture — For Reviewers

19.0.27 Contrasts in R

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Contrasts in R as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Contrasts in R yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → contrasts-in-r — For Reviewers

19.0.28 Cook’s Distance

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Cook’s Distance as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Cook’s Distance yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → cooks-distance — For Reviewers

19.0.29 Cox Proportional Hazards Regression

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Cox Proportional Hazards Regression as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Cox Proportional Hazards Regression yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → cox-proportional-hazards — For Reviewers

19.0.30 Cox Regression as Regression

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Cox Regression as Regression as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Cox Regression as Regression yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → survival-regression-cox — For Reviewers

19.0.31 Crossover Designs

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Crossover Designs as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Crossover Designs yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → crossover-designs — For Reviewers

19.0.32 Desirability Functions

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Desirability Functions as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Desirability Functions yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → desirability-function — For Reviewers

19.0.33 Dirichlet Regression

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Dirichlet Regression as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Dirichlet Regression yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → dirichlet-regression — For Reviewers

19.0.34 Dummy Coding

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Dummy Coding as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Dummy Coding yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → dummy-coding — For Reviewers

19.0.35 Effect (Deviation) Coding

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Effect (Deviation) Coding as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Effect (Deviation) Coding yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → effect-coding — For Reviewers

19.0.36 Effect Size: Cohen’s d

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Effect Size: Cohen’s d as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Effect Size: Cohen’s d yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → effect-size-cohens-d — For Reviewers

19.0.37 Effect Size: Cohen’s h

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Effect Size: Cohen’s h as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Effect Size: Cohen’s h yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → effect-size-cohens-h — For Reviewers

19.0.38 Effect Size: Eta-Squared

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Effect Size: Eta-Squared as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Effect Size: Eta-Squared yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → effect-size-eta-squared — For Reviewers

19.0.39 Effect Sizes: Overview

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Effect Sizes: Overview as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Effect Sizes: Overview yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → effect-sizes-overview — For Reviewers

19.0.40 Elastic Net

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Elastic Net as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Elastic Net yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → elastic-net — For Reviewers

19.0.41 Equivalence Testing with TOST

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Equivalence Testing with TOST as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Equivalence Testing with TOST yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → equivalence-tost — For Reviewers

19.0.42 Fine-Gray Subdistribution Hazards

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Fine-Gray Subdistribution Hazards as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Fine-Gray Subdistribution Hazards yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → fine-gray-regression — For Reviewers

19.0.43 Fisher’s Exact Test

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Fisher’s Exact Test as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Fisher’s Exact Test yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → fisher-exact-test — For Reviewers

19.0.44 Fractional Factorial Designs

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Fractional Factorial Designs as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Fractional Factorial Designs yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → fractional-factorial-design — For Reviewers

19.0.45 Frailty Models

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Frailty Models as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Frailty Models yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → frailty-models — For Reviewers

19.0.46 Friedman Test

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Friedman Test as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Friedman Test yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → friedman-test — For Reviewers

19.0.47 GAMMs: Additive Mixed Models

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using GAMMs: Additive Mixed Models as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

GAMMs: Additive Mixed Models yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → gamm-additive-mixed — For Reviewers

19.0.48 GAMs: Introduction

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using GAMs: Introduction as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

GAMs: Introduction yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → gam-introduction — For Reviewers

19.0.49 Generalised Estimating Equations

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Generalised Estimating Equations as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Generalised Estimating Equations yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → generalized-estimating-equations — For Reviewers

19.0.50 glmer: Generalised Mixed Models

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using glmer: Generalised Mixed Models as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

glmer: Generalised Mixed Models yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → glmer-generalized-mixed — For Reviewers

19.0.51 Graeco-Latin Square Designs

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Graeco-Latin Square Designs as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Graeco-Latin Square Designs yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → graeco-latin-square — For Reviewers

19.0.52 Hazard, Survival, and Cumulative Hazard

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Hazard, Survival, and Cumulative Hazard as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Hazard, Survival, and Cumulative Hazard yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → hazard-survival-cumulative — For Reviewers

19.0.53 Holm’s Step-Down Correction

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Holm’s Step-Down Correction as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Holm’s Step-Down Correction yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → holm-correction — For Reviewers

19.0.54 Hurdle Models

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Hurdle Models as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Hurdle Models yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → hurdle-models — For Reviewers

19.0.55 Interactions in Regression

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Interactions in Regression as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Interactions in Regression yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → interactions-in-regression — For Reviewers

19.0.56 Interval-Censored Data

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Interval-Censored Data as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Interval-Censored Data yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → interval-censored-data — For Reviewers

19.0.57 Joint Longitudinal-Survival Models

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Joint Longitudinal-Survival Models as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Joint Longitudinal-Survival Models yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → joint-longitudinal-survival — For Reviewers

19.0.58 Kaplan-Meier Estimation

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Kaplan-Meier Estimation as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Kaplan-Meier Estimation yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → kaplan-meier — For Reviewers

19.0.59 Kendall’s Tau

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Kendall’s Tau as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Kendall’s Tau yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → kendall-tau — For Reviewers

19.0.60 Kolmogorov-Smirnov Test

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Kolmogorov-Smirnov Test as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Kolmogorov-Smirnov Test yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → kolmogorov-smirnov-test — For Reviewers

19.0.61 Kruskal-Wallis Test

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Kruskal-Wallis Test as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Kruskal-Wallis Test yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → kruskal-wallis — For Reviewers

19.0.62 Landmark Analysis

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Landmark Analysis as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Landmark Analysis yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → landmark-analysis — For Reviewers

19.0.63 Lasso Regression

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Lasso Regression as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Lasso Regression yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → lasso-regression — For Reviewers

19.0.64 Latin Square Designs

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Latin Square Designs as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Latin Square Designs yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → latin-square — For Reviewers

19.0.65 Left Truncation

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Left Truncation as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Left Truncation yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → left-truncation — For Reviewers

19.0.66 Levene’s Test of Variances

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Levene’s Test of Variances as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Levene’s Test of Variances yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → levene-test — For Reviewers

19.0.67 Leverage and Influence

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Leverage and Influence as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Leverage and Influence yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → leverage-influence — For Reviewers

19.0.68 Linear Regression Assumptions

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Linear Regression Assumptions as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Linear Regression Assumptions yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → regression-assumptions — For Reviewers

19.0.69 Log-Rank Test: Details

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Log-Rank Test: Details as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Log-Rank Test: Details yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → log-rank-test-details — For Reviewers

19.0.70 Logistic Regression

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Logistic Regression as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Logistic Regression yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → logistic-regression — For Reviewers

19.0.71 Logistic Regression Diagnostics

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Logistic Regression Diagnostics as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Logistic Regression Diagnostics yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → logistic-regression-diagnostics — For Reviewers

19.0.72 Mann-Whitney U Test

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Mann-Whitney U Test as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Mann-Whitney U Test yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → mann-whitney-u — For Reviewers

19.0.73 McNemar’s Test

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using McNemar’s Test as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

McNemar’s Test yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → mcnemar-test — For Reviewers

19.0.74 Method of Steepest Ascent

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Method of Steepest Ascent as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Method of Steepest Ascent yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → steepest-ascent — For Reviewers

19.0.75 Minimum Detectable Effect

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Minimum Detectable Effect as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Minimum Detectable Effect yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → minimum-detectable-effect — For Reviewers

19.0.76 Mixed ANOVA

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Mixed ANOVA as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Mixed ANOVA yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → mixed-anova — For Reviewers

19.0.77 Mixed-Effects Models: Introduction

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Mixed-Effects Models: Introduction as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Mixed-Effects Models: Introduction yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → mixed-models-intro — For Reviewers

19.0.78 Model Selection with AIC and BIC

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Model Selection with AIC and BIC as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Model Selection with AIC and BIC yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → model-selection-aic-bic — For Reviewers

19.0.79 Multi-State Models

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Multi-State Models as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Multi-State Models yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → multi-state-models — For Reviewers

19.0.80 Multicollinearity and VIF

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Multicollinearity and VIF as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Multicollinearity and VIF yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → multicollinearity-vif — For Reviewers

19.0.81 Multinomial Logistic Regression

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Multinomial Logistic Regression as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Multinomial Logistic Regression yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → multinomial-logistic — For Reviewers

19.0.82 Multiple Comparisons: Overview

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Multiple Comparisons: Overview as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Multiple Comparisons: Overview yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → multiple-comparisons-overview — For Reviewers

19.0.83 Multiple Linear Regression

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Multiple Linear Regression as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Multiple Linear Regression yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → multiple-linear-regression — For Reviewers

19.0.84 Negative Binomial Regression

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Negative Binomial Regression as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Negative Binomial Regression yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → negative-binomial-regression — For Reviewers

19.0.85 Nested vs Crossed Random Effects

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Nested vs Crossed Random Effects as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Nested vs Crossed Random Effects yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → nested-crossed-random-effects — For Reviewers

19.0.86 Null and Alternative Hypotheses

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Null and Alternative Hypotheses as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Null and Alternative Hypotheses yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → null-alternative-hypotheses — For Reviewers

19.0.87 Offsets in Regression

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Offsets in Regression as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Offsets in Regression yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → offsets-in-regression — For Reviewers

19.0.88 One-Proportion Test

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using One-Proportion Test as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

One-Proportion Test yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → one-proportion-test — For Reviewers

19.0.89 One-Sample t-Test

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using One-Sample t-Test as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

One-Sample t-Test yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → one-sample-t-test — For Reviewers

19.0.90 One-Sample z-Test

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using One-Sample z-Test as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

One-Sample z-Test yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → one-sample-z-test — For Reviewers

19.0.91 One-Way ANOVA

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using One-Way ANOVA as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

One-Way ANOVA yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → one-way-anova — For Reviewers

19.0.92 Optimal Designs: D, A, I

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Optimal Designs: D, A, I as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Optimal Designs: D, A, I yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → optimal-design-d-a-i — For Reviewers

19.0.93 Ordinal Logistic Regression

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Ordinal Logistic Regression as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Ordinal Logistic Regression yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → ordinal-logistic — For Reviewers

19.0.94 Orthogonal Arrays

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Orthogonal Arrays as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Orthogonal Arrays yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → orthogonal-arrays — For Reviewers

19.0.95 P-Values Explained

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using P-Values Explained as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

P-Values Explained yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → p-values-explained — For Reviewers

19.0.96 Paired t-Test

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Paired t-Test as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Paired t-Test yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → paired-t-test — For Reviewers

19.0.97 Parametric Survival: Log-Normal

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Parametric Survival: Log-Normal as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Parametric Survival: Log-Normal yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → parametric-survival-lognormal — For Reviewers

19.0.98 Parametric Survival: Weibull

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Parametric Survival: Weibull as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Parametric Survival: Weibull yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → parametric-survival-weibull — For Reviewers

19.0.99 Partial Correlation

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Partial Correlation as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Partial Correlation yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → partial-correlation — For Reviewers

19.0.100 Pearson Correlation Test

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Pearson Correlation Test as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Pearson Correlation Test yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → pearson-correlation-test — For Reviewers

19.0.101 Permutation Tests

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Permutation Tests as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Permutation Tests yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → permutation-tests — For Reviewers

19.0.102 Plackett-Burman Designs

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Plackett-Burman Designs as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Plackett-Burman Designs yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → plackett-burman — For Reviewers

19.0.103 Poisson Regression

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Poisson Regression as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Poisson Regression yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → poisson-regression — For Reviewers

19.0.104 Polynomial Regression

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Polynomial Regression as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Polynomial Regression yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → polynomial-regression — For Reviewers

19.0.105 Post-Hoc Power: A Controversy

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Post-Hoc Power: A Controversy as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Post-Hoc Power: A Controversy yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → post-hoc-power-controversy — For Reviewers

19.0.106 Post-Hoc Tests with Tukey HSD

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Post-Hoc Tests with Tukey HSD as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Post-Hoc Tests with Tukey HSD yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → post-hoc-tests-tukey — For Reviewers

19.0.107 Power Analysis for DOE

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Power Analysis for DOE as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Power Analysis for DOE yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → power-in-doe — For Reviewers

19.0.108 Power Analysis: Introduction

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Power Analysis: Introduction as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Power Analysis: Introduction yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → power-analysis-introduction — For Reviewers

19.0.109 Power for Agreement (Kappa)

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Power for Agreement (Kappa) as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Power for Agreement (Kappa) yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → power-agreement-kappa — For Reviewers

19.0.110 Power for Bland-Altman Studies

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Power for Bland-Altman Studies as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Power for Bland-Altman Studies yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → power-bland-altman — For Reviewers

19.0.111 Power for Chi-Squared Tests

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Power for Chi-Squared Tests as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Power for Chi-Squared Tests yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → power-chi-squared — For Reviewers

19.0.112 Power for Cluster-RCT

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Power for Cluster-RCT as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Power for Cluster-RCT yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → power-cluster-rct — For Reviewers

19.0.113 Power for Correlation Tests

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Power for Correlation Tests as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Power for Correlation Tests yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → power-correlation — For Reviewers

19.0.114 Power for Cox Regression

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Power for Cox Regression as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Power for Cox Regression yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → power-cox-regression — For Reviewers

19.0.115 Power for Crossover Trials

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Power for Crossover Trials as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Power for Crossover Trials yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → power-crossover — For Reviewers

19.0.116 Power for Diagnostic Accuracy

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Power for Diagnostic Accuracy as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Power for Diagnostic Accuracy yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → power-diagnostic-accuracy — For Reviewers

19.0.117 Power for Equivalence (TOST)

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Power for Equivalence (TOST) as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Power for Equivalence (TOST) yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → power-equivalence-tost — For Reviewers

19.0.118 Power for ICC

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Power for ICC as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Power for ICC yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → power-icc — For Reviewers

19.0.119 Power for Linear Regression

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Power for Linear Regression as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Power for Linear Regression yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → power-linear-regression — For Reviewers

19.0.120 Power for Logistic Regression

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Power for Logistic Regression as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Power for Logistic Regression yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → power-logistic-regression — For Reviewers

19.0.121 Power for McNemar’s Test

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Power for McNemar’s Test as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Power for McNemar’s Test yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → power-mcnemar — For Reviewers

19.0.122 Power for Non-Inferiority Trials

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Power for Non-Inferiority Trials as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Power for Non-Inferiority Trials yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → power-non-inferiority — For Reviewers

19.0.123 Power for One-Proportion Test

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Power for One-Proportion Test as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Power for One-Proportion Test yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → power-one-proportion — For Reviewers

19.0.124 Power for One-Sample t-Test

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Power for One-Sample t-Test as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Power for One-Sample t-Test yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → power-one-sample-t — For Reviewers

19.0.125 Power for One-Way ANOVA

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Power for One-Way ANOVA as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Power for One-Way ANOVA yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → power-anova — For Reviewers

19.0.126 Power for Paired t-Test

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Power for Paired t-Test as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Power for Paired t-Test yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → power-paired-t — For Reviewers

19.0.127 Power for Repeated-Measures ANOVA

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Power for Repeated-Measures ANOVA as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Power for Repeated-Measures ANOVA yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → power-repeated-measures — For Reviewers

19.0.128 Power for Stepped-Wedge Trials

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Power for Stepped-Wedge Trials as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Power for Stepped-Wedge Trials yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → power-stepped-wedge — For Reviewers

19.0.129 Power for the Log-Rank Test

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Power for the Log-Rank Test as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Power for the Log-Rank Test yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → power-logrank-test — For Reviewers

19.0.130 Power for Two-Proportion Test

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Power for Two-Proportion Test as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Power for Two-Proportion Test yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → power-two-proportions — For Reviewers

19.0.131 Principles of Blocking

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Principles of Blocking as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Principles of Blocking yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → blocking-principles — For Reviewers

19.0.132 Probit Regression

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Probit Regression as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Probit Regression yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → probit-regression — For Reviewers

19.0.133 Quantile Regression

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Quantile Regression as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Quantile Regression yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → quantile-regression — For Reviewers

19.0.134 Quasi-Poisson Regression

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Quasi-Poisson Regression as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Quasi-Poisson Regression yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → quasi-poisson — For Reviewers

19.0.135 R-Squared and Adjusted R-Squared

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using R-Squared and Adjusted R-Squared as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

R-Squared and Adjusted R-Squared yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → r-squared-adjusted — For Reviewers

19.0.136 Random-Intercept Models

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Random-Intercept Models as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Random-Intercept Models yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → random-intercepts — For Reviewers

19.0.137 Random-Slope Models

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Random-Slope Models as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Random-Slope Models yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → random-slopes — For Reviewers

19.0.138 Randomisation in Design

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Randomisation in Design as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Randomisation in Design yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → randomization-in-design — For Reviewers

19.0.139 Randomised Complete Block Design

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Randomised Complete Block Design as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Randomised Complete Block Design yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → randomised-complete-block — For Reviewers

19.0.140 Recurrent Events

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Recurrent Events as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Recurrent Events yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → recurrent-events — For Reviewers

19.0.141 Repeated-Measures ANOVA

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Repeated-Measures ANOVA as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Repeated-Measures ANOVA yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → repeated-measures-anova — For Reviewers

19.0.142 Repeated-Measures Designs

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Repeated-Measures Designs as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Repeated-Measures Designs yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → repeated-measures-design — For Reviewers

19.0.143 Residual Diagnostics

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Residual Diagnostics as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Residual Diagnostics yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → residual-diagnostics — For Reviewers

19.0.144 Resolution and Aliasing

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Resolution and Aliasing as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Resolution and Aliasing yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → resolution-aliasing — For Reviewers

19.0.145 Response Surface Methodology

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Response Surface Methodology as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Response Surface Methodology yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → response-surface-methodology — For Reviewers

19.0.146 Restricted Mean Survival Time (RMST)

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Restricted Mean Survival Time (RMST) as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Restricted Mean Survival Time (RMST) yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → restricted-mean-survival-time — For Reviewers

19.0.147 Ridge Regression

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Ridge Regression as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Ridge Regression yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → ridge-regression — For Reviewers

19.0.148 Robust Parameter Design

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Robust Parameter Design as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Robust Parameter Design yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → robust-parameter-design — For Reviewers

19.0.149 Robust Regression

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Robust Regression as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Robust Regression yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → robust-regression — For Reviewers

19.0.150 ROC and AUC for Logistic Models

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using ROC and AUC for Logistic Models as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

ROC and AUC for Logistic Models yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → roc-auc-for-logistic — For Reviewers

19.0.151 Royston-Parmar Flexible Parametric Models

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Royston-Parmar Flexible Parametric Models as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Royston-Parmar Flexible Parametric Models yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → flexible-parametric-royston-parmar — For Reviewers

19.0.152 Sample Size for a Two-Sample t-Test

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Sample Size for a Two-Sample t-Test as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Sample Size for a Two-Sample t-Test yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → power-two-sample-t — For Reviewers

19.0.153 Sample Size Sensitivity Analysis

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Sample Size Sensitivity Analysis as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Sample Size Sensitivity Analysis yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → sensitivity-analysis-sample-size — For Reviewers

19.0.154 Schoenfeld Residuals

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Schoenfeld Residuals as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Schoenfeld Residuals yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → schoenfeld-residuals — For Reviewers

19.0.155 Shapiro-Wilk Normality Test

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Shapiro-Wilk Normality Test as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Shapiro-Wilk Normality Test yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → shapiro-wilk-test — For Reviewers

19.0.156 Signal-to-Noise Ratios

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Signal-to-Noise Ratios as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Signal-to-Noise Ratios yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → signal-to-noise-ratio — For Reviewers

19.0.157 Simple Linear Regression

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Simple Linear Regression as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Simple Linear Regression yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → simple-linear-regression — For Reviewers

19.0.158 Simplex Centroid Designs

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Simplex Centroid Designs as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Simplex Centroid Designs yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → mixture-centroid — For Reviewers

19.0.159 Simplex Lattice Mixture Designs

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Simplex Lattice Mixture Designs as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Simplex Lattice Mixture Designs yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → mixture-designs-simplex — For Reviewers

19.0.160 Simulating Survival Data

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Simulating Survival Data as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Simulating Survival Data yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → survival-simulation — For Reviewers

19.0.161 Spearman Rank Correlation Test

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Spearman Rank Correlation Test as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Spearman Rank Correlation Test yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → spearman-correlation-test — For Reviewers

19.0.162 Spline Regression

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Spline Regression as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Spline Regression yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → spline-regression — For Reviewers

19.0.163 Split-Plot Designs

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Split-Plot Designs as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Split-Plot Designs yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → split-plot-design — For Reviewers

19.0.164 Stepwise Regression: Pitfalls

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Stepwise Regression: Pitfalls as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Stepwise Regression: Pitfalls yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → stepwise-regression-pitfalls — For Reviewers

19.0.165 Stratified Cox Models

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Stratified Cox Models as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Stratified Cox Models yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → stratified-cox — For Reviewers

19.0.166 Strip-Plot Designs

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Strip-Plot Designs as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Strip-Plot Designs yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → strip-plot-design — For Reviewers

19.0.167 Taguchi Methods

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Taguchi Methods as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Taguchi Methods yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → taguchi-methods — For Reviewers

19.0.168 The Bootstrap: Introduction

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using The Bootstrap: Introduction as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

The Bootstrap: Introduction yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → bootstrap-introduction — For Reviewers

19.0.169 The Brier Score for Survival

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using The Brier Score for Survival as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

The Brier Score for Survival yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → brier-score-survival — For Reviewers

19.0.170 The Jackknife

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using The Jackknife as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

The Jackknife yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → jackknife — For Reviewers

19.0.171 The Nelson-Aalen Estimator

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using The Nelson-Aalen Estimator as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

The Nelson-Aalen Estimator yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → nelson-aalen-estimator — For Reviewers

19.0.172 The Runs Test

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using The Runs Test as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

The Runs Test yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → runs-test — For Reviewers

19.0.173 The Sign Test

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using The Sign Test as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

The Sign Test yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → sign-test — For Reviewers

19.0.174 Time-Dependent ROC

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Time-Dependent ROC as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Time-Dependent ROC yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → time-dependent-roc — For Reviewers

19.0.175 Time-Varying Covariates

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Time-Varying Covariates as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Time-Varying Covariates yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → time-varying-covariates — For Reviewers

19.0.176 Tobit Regression

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Tobit Regression as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Tobit Regression yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → tobit-regression — For Reviewers

19.0.177 Truncated Regression

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Truncated Regression as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Truncated Regression yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → truncated-regression — For Reviewers

19.0.178 Two-Proportion Test

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Two-Proportion Test as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Two-Proportion Test yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → two-proportion-test — For Reviewers

19.0.179 Two-Sample t-Test

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Two-Sample t-Test as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Two-Sample t-Test yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → two-sample-t-test — For Reviewers

19.0.180 Two-Way ANOVA

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Two-Way ANOVA as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Two-Way ANOVA yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → two-way-anova — For Reviewers

19.0.181 Type I and Type II Errors

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Type I and Type II Errors as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Type I and Type II Errors yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → type-i-type-ii-errors — For Reviewers

19.0.182 Weighted Log-Rank Tests

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Weighted Log-Rank Tests as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Weighted Log-Rank Tests yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → weighted-log-rank — For Reviewers

19.0.183 Welch’s t-Test

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Welch’s t-Test as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Welch’s t-Test yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → welch-t-test — For Reviewers

19.0.184 Wilcoxon Signed-Rank Test

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Wilcoxon Signed-Rank Test as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Wilcoxon Signed-Rank Test yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → wilcoxon-signed-rank — For Reviewers

19.0.185 Worked lme4::lmer Examples

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Worked lme4::lmer Examples as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Worked lme4::lmer Examples yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → lme4-lmer-examples — For Reviewers

19.0.186 Zero-Inflated Models

Methods paragraph (copy-paste, fill in italics):

[N=] participants/observations were analysed using Zero-Inflated Models as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

Zero-Inflated Models yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → zero-inflated-models — For Reviewers

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