20 CONSORT — randomised trials

CONSORT — Consolidated Standards of Reporting Trials — covers randomised controlled trials. The 25-item checklist and flow diagram are at https://www.consort-statement.org/. The templates below cover the analytic methods most often used for primary and secondary endpoints in a trial.

This page contains 141 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.

20.0.1 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

20.0.2 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

20.0.3 Adaptive Trial Designs

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

[N=] participants/observations were analysed using Adaptive Trial 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):

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

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

20.0.4 Alpha-Spending Functions

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

[N=] participants/observations were analysed using Alpha-Spending 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):

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

Reviewer checklist for this method. → alpha-spending — For Reviewers

20.0.5 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

20.0.6 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

20.0.7 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

20.0.8 Baseline Adjustment with ANCOVA

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

[N=] participants/observations were analysed using Baseline Adjustment with ANCOVA 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):

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

Reviewer checklist for this method. → baseline-adjustment-ancova — For Reviewers

20.0.9 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

20.0.10 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

20.0.11 Bland-Altman Limits of Agreement

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

[N=] participants/observations were analysed using Bland-Altman Limits of Agreement 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):

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

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

20.0.12 Blinding Procedures

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

[N=] participants/observations were analysed using Blinding Procedures 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):

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

Reviewer checklist for this method. → blinding-procedures — For Reviewers

20.0.13 Block Randomisation

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

[N=] participants/observations were analysed using Block Randomisation 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):

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

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

20.0.14 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

20.0.15 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

20.0.16 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

20.0.17 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

20.0.18 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

20.0.19 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

20.0.20 Clinical Equivalence Trials

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

[N=] participants/observations were analysed using Clinical Equivalence 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):

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

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

20.0.21 Cluster-Randomised Trials

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

[N=] participants/observations were analysed using Cluster-Randomised 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):

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

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

20.0.22 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

20.0.23 Cohen’s Kappa

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

[N=] participants/observations were analysed using Cohen’s 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):

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

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

20.0.24 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

20.0.25 Conditional Power

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

[N=] participants/observations were analysed using Conditional Power 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 Power yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

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

20.0.26 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

20.0.27 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

20.0.28 Crossover RCT Design

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

[N=] participants/observations were analysed using Crossover RCT 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):

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

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

20.0.29 Cutpoint Selection

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

[N=] participants/observations were analysed using Cutpoint 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):

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

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

20.0.30 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

20.0.31 Diagnostic Test Accuracy

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

[N=] participants/observations were analysed using Diagnostic Test 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):

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

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

20.0.32 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

20.0.33 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

20.0.34 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

20.0.35 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

20.0.36 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

20.0.37 Factorial Trials

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

[N=] participants/observations were analysed using Factorial 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):

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

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

20.0.38 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

20.0.39 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

20.0.40 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

20.0.41 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

20.0.42 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

20.0.43 Interim Analyses and Group Sequential Designs

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

[N=] participants/observations were analysed using Interim Analyses and Group Sequential 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):

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

Reviewer checklist for this method. → interim-analysis-group-sequential — For Reviewers

20.0.44 Intraclass Correlation Coefficient (ICC)

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

[N=] participants/observations were analysed using Intraclass Correlation Coefficient (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):

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

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

20.0.45 ITT vs Per-Protocol Analysis

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

[N=] participants/observations were analysed using ITT vs Per-Protocol 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):

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

Reviewer checklist for this method. → itt-vs-pp-analysis — For Reviewers

20.0.46 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

20.0.47 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

20.0.48 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

20.0.49 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

20.0.50 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

20.0.51 Likelihood Ratios

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

[N=] participants/observations were analysed using Likelihood 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):

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

Reviewer checklist for this method. → likelihood-ratios — For Reviewers

20.0.52 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

20.0.53 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

20.0.54 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

20.0.55 Minimisation Algorithm

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

[N=] participants/observations were analysed using Minimisation Algorithm 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):

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

Reviewer checklist for this method. → minimization-algorithm — For Reviewers

20.0.56 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

20.0.57 Missing Data in RCTs

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

[N=] participants/observations were analysed using Missing Data in RCTs 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):

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

Reviewer checklist for this method. → missing-data-rct — For Reviewers

20.0.58 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

20.0.59 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

20.0.60 Multiple Imputation

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

[N=] participants/observations were analysed using Multiple Imputation 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 Imputation yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

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

20.0.61 Non-Inferiority Margin Selection

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

[N=] participants/observations were analysed using Non-Inferiority Margin 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):

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

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

20.0.62 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

20.0.63 O’Brien-Fleming Boundary

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

[N=] participants/observations were analysed using O’Brien-Fleming Boundary 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):

O’Brien-Fleming Boundary yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → obrien-fleming-boundary — For Reviewers

20.0.64 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

20.0.65 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

20.0.66 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

20.0.67 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

20.0.68 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

20.0.69 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

20.0.70 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

20.0.71 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

20.0.72 Parallel-Group RCT Design

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

[N=] participants/observations were analysed using Parallel-Group RCT 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):

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

Reviewer checklist for this method. → rct-design-parallel — For Reviewers

20.0.73 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

20.0.74 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

20.0.75 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

20.0.76 Pocock Boundary

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

[N=] participants/observations were analysed using Pocock Boundary 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):

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

Reviewer checklist for this method. → pocock-boundary — For Reviewers

20.0.77 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

20.0.78 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

20.0.79 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

20.0.80 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

20.0.81 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

20.0.82 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

20.0.83 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

20.0.84 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

20.0.85 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

20.0.86 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

20.0.87 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

20.0.88 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

20.0.89 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

20.0.90 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

20.0.91 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

20.0.92 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

20.0.93 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

20.0.94 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

20.0.95 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

20.0.96 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

20.0.97 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

20.0.98 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

20.0.99 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

20.0.100 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

20.0.101 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

20.0.102 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

20.0.103 Predictive Values and Prevalence

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

[N=] participants/observations were analysed using Predictive Values and Prevalence 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):

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

Reviewer checklist for this method. → predictive-values-prevalence — For Reviewers

20.0.104 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

20.0.105 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

20.0.106 Randomisation Methods

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

[N=] participants/observations were analysed using Randomisation 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):

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

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

20.0.107 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

20.0.108 Reliability and Cronbach’s Alpha

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

[N=] participants/observations were analysed using Reliability and Cronbach’s Alpha 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):

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

Reviewer checklist for this method. → reliability-cronbach-alpha — For Reviewers

20.0.109 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

20.0.110 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

20.0.111 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

20.0.112 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

20.0.113 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

20.0.114 ROC Analysis

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

[N=] participants/observations were analysed using ROC 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):

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

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

20.0.115 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

20.0.116 Sample Size Re-Estimation

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

[N=] participants/observations were analysed using Sample Size Re-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):

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

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

20.0.117 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

20.0.118 Sensitivity Analyses in Clinical Trials

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

[N=] participants/observations were analysed using Sensitivity Analyses in Clinical 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):

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

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

20.0.119 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

20.0.120 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

20.0.121 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

20.0.122 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

20.0.123 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

20.0.124 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

20.0.125 Stepped-Wedge Trial

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

[N=] participants/observations were analysed using Stepped-Wedge Trial 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):

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

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

20.0.126 Stratified Randomisation

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

[N=] participants/observations were analysed using Stratified Randomisation 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 Randomisation yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

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

20.0.127 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

20.0.128 Subgroup Analyses

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

[N=] participants/observations were analysed using Subgroup Analyses 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):

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

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

20.0.129 Subgroup Forest Plots

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

[N=] participants/observations were analysed using Subgroup Forest 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):

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

Reviewer checklist for this method. → forest-plot-subgroup — For Reviewers

20.0.130 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

20.0.131 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

20.0.132 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

20.0.133 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

20.0.134 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

20.0.135 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

20.0.136 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

20.0.137 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

20.0.138 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

20.0.139 Weighted Kappa

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

[N=] participants/observations were analysed using Weighted 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):

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

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

20.0.140 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

20.0.141 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

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