21 TRIPOD-AI — prediction models

TRIPOD-AI — Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis, AI extension — covers prediction models, including those built with machine learning. The checklist is at https://www.tripod-statement.org/. The templates below cover model development, validation, calibration, and fairness reporting.

This page contains 163 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.

21.0.1 A Complete mlr3 Workflow

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

[N=] participants/observations were analysed using A Complete mlr3 Workflow as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% confidence interval reported as the primary outcome]. Two-sided p-values use α = 0.05; [multiple-comparison adjustment if any].

Results paragraph (copy-paste):

A Complete mlr3 Workflow yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → mlr3-workflow — For Reviewers

21.0.2 A Complete tidymodels Workflow

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

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

Results paragraph (copy-paste):

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

Reviewer checklist for this method. → tidymodels-workflow — For Reviewers

21.0.3 Accelerated Failure Time Models

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

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

Results paragraph (copy-paste):

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

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

21.0.4 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

21.0.5 Added-Variable Plots

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

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

Results paragraph (copy-paste):

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

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

21.0.6 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

21.0.7 Anomaly Detection

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

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

Results paragraph (copy-paste):

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

Reviewer checklist for this method. → anomaly-detection — For Reviewers

21.0.8 Bagging

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

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

Results paragraph (copy-paste):

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

Reviewer checklist for this method. → bagging — For Reviewers

21.0.9 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

21.0.10 Best Subset Selection

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

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

Results paragraph (copy-paste):

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

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

21.0.11 Beta Regression

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

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

Results paragraph (copy-paste):

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

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

21.0.12 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

21.0.13 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

21.0.14 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

21.0.15 Calibration Plots

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

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

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

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

21.0.16 CatBoost

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

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

Results paragraph (copy-paste):

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

Reviewer checklist for this method. → catboost — For Reviewers

21.0.17 Censoring Types

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

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

Results paragraph (copy-paste):

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

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

21.0.18 Centring and Scaling Predictors

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

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

Results paragraph (copy-paste):

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

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

21.0.19 Checking Cox Assumptions

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

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

Results paragraph (copy-paste):

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

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

21.0.20 Class Weights for Imbalanced Data

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

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

Results paragraph (copy-paste):

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

Reviewer checklist for this method. → class-weights-imbalanced — For Reviewers

21.0.21 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

21.0.22 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

21.0.23 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

21.0.24 Competing Risks: Cumulative Incidence

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

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

Results paragraph (copy-paste):

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

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

21.0.25 Concordance and the C-Index

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

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

Results paragraph (copy-paste):

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

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

21.0.26 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

21.0.27 Conditional Survival

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

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

Results paragraph (copy-paste):

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

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

21.0.28 Contrasts in R

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

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

Results paragraph (copy-paste):

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

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

21.0.29 Convolutional Neural Networks: Introduction

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

[N=] participants/observations were analysed using Convolutional Neural Networks: 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):

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

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

21.0.30 Cook’s Distance

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

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

Results paragraph (copy-paste):

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

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

21.0.31 Cox Proportional Hazards Regression

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

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

Results paragraph (copy-paste):

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

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

21.0.32 Cox Regression as Regression

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

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

Results paragraph (copy-paste):

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

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

21.0.33 Cross-Validation

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

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

Results paragraph (copy-paste):

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

Reviewer checklist for this method. → cross-validation — For Reviewers

21.0.34 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

21.0.35 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

21.0.36 DBSCAN as an ML Tool

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

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

Results paragraph (copy-paste):

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

Reviewer checklist for this method. → clustering-dbscan-ml — For Reviewers

21.0.37 Decision Trees (CART)

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

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

Results paragraph (copy-paste):

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

Reviewer checklist for this method. → decision-trees-cart — For Reviewers

21.0.38 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

21.0.39 Dirichlet Regression

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

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

Results paragraph (copy-paste):

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

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

21.0.40 Dropout and Early Stopping

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

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

Results paragraph (copy-paste):

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

Reviewer checklist for this method. → dropout-early-stopping — For Reviewers

21.0.41 Dummy Coding

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

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

Results paragraph (copy-paste):

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

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

21.0.42 Effect (Deviation) Coding

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

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

Results paragraph (copy-paste):

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

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

21.0.43 Elastic Net

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

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

Results paragraph (copy-paste):

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

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

21.0.44 Extremely Randomised Trees

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

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

Results paragraph (copy-paste):

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

Reviewer checklist for this method. → extremely-randomized-trees — For Reviewers

21.0.45 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

21.0.46 Feature Engineering

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

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

Results paragraph (copy-paste):

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

Reviewer checklist for this method. → feature-engineering — For Reviewers

21.0.47 Feature Selection

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

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

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

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

21.0.48 Feedforward Networks in torch

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

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

Results paragraph (copy-paste):

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

Reviewer checklist for this method. → feedforward-networks-torch — For Reviewers

21.0.49 Fine-Gray Subdistribution Hazards

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

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

Results paragraph (copy-paste):

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

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

21.0.50 Frailty Models

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

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

Results paragraph (copy-paste):

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

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

21.0.51 GAMMs: Additive Mixed Models

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

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

Results paragraph (copy-paste):

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

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

21.0.52 GAMs: Introduction

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

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

Results paragraph (copy-paste):

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

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

21.0.53 Generalised Estimating Equations

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

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

Results paragraph (copy-paste):

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

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

21.0.54 glmer: Generalised Mixed Models

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

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

Results paragraph (copy-paste):

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

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

21.0.55 Gradient Boosting

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

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

Results paragraph (copy-paste):

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

Reviewer checklist for this method. → gradient-boosting — For Reviewers

21.0.56 Hazard, Survival, and Cumulative Hazard

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

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

Results paragraph (copy-paste):

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

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

21.0.57 Hurdle Models

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

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

Results paragraph (copy-paste):

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

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

21.0.58 Interactions in Regression

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

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

Results paragraph (copy-paste):

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

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

21.0.59 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

21.0.60 Interval-Censored Data

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

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

Results paragraph (copy-paste):

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

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

21.0.61 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

21.0.62 Isolation Forest

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

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

Results paragraph (copy-paste):

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

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

21.0.63 Isotonic Regression Calibration

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

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

Results paragraph (copy-paste):

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

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

21.0.64 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

21.0.65 Joint Longitudinal-Survival Models

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

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

Results paragraph (copy-paste):

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

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

21.0.66 k-Means as an ML Tool

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

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

Results paragraph (copy-paste):

k-Means as an ML Tool yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → clustering-kmeans-ml — For Reviewers

21.0.67 k-Nearest Neighbours Classification

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

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

Results paragraph (copy-paste):

k-Nearest Neighbours Classification yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → knn-classification — For Reviewers

21.0.68 k-Nearest Neighbours Regression

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

[N=] participants/observations were analysed using k-Nearest Neighbours 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):

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

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

21.0.69 Kaplan-Meier Estimation

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

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

Results paragraph (copy-paste):

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

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

21.0.70 Kernel SVMs

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

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

Results paragraph (copy-paste):

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

Reviewer checklist for this method. → svm-kernel — For Reviewers

21.0.71 Landmark Analysis

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

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

Results paragraph (copy-paste):

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

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

21.0.72 Lasso Regression

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

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

Results paragraph (copy-paste):

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

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

21.0.73 Left Truncation

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

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

Results paragraph (copy-paste):

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

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

21.0.74 Leverage and Influence

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

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

Results paragraph (copy-paste):

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

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

21.0.75 LightGBM

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

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

Results paragraph (copy-paste):

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

Reviewer checklist for this method. → lightgbm — For Reviewers

21.0.76 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

21.0.77 LIME Explanations

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

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

Results paragraph (copy-paste):

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

Reviewer checklist for this method. → lime-explanations — For Reviewers

21.0.78 Linear Discriminant as ML

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

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

Results paragraph (copy-paste):

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

Reviewer checklist for this method. → linear-discriminant-ml — For Reviewers

21.0.79 Linear Regression Assumptions

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

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

Results paragraph (copy-paste):

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

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

21.0.80 Linear Support Vector Machines

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

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

Results paragraph (copy-paste):

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

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

21.0.81 Log-Rank Test: Details

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

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

Results paragraph (copy-paste):

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

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

21.0.82 Logistic Regression

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

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

Results paragraph (copy-paste):

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

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

21.0.83 Logistic Regression as ML

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

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

Results paragraph (copy-paste):

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

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

21.0.84 Logistic Regression Diagnostics

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

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

Results paragraph (copy-paste):

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

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

21.0.85 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

21.0.86 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

21.0.87 Mixed-Effects Models: Introduction

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

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

Results paragraph (copy-paste):

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

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

21.0.88 Model Selection with AIC and BIC

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

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

Results paragraph (copy-paste):

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

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

21.0.89 Multi-State Models

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

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

Results paragraph (copy-paste):

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

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

21.0.90 Multicollinearity and VIF

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

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

Results paragraph (copy-paste):

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

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

21.0.91 Multinomial Logistic Regression

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

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

Results paragraph (copy-paste):

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

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

21.0.92 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

21.0.93 Multiple Linear Regression

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

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

Results paragraph (copy-paste):

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

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

21.0.94 Naive Bayes

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

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

Results paragraph (copy-paste):

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

Reviewer checklist for this method. → naive-bayes — For Reviewers

21.0.95 Negative Binomial Regression

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

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

Results paragraph (copy-paste):

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

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

21.0.96 Nested Cross-Validation

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

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

Results paragraph (copy-paste):

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

Reviewer checklist for this method. → nested-cv — For Reviewers

21.0.97 Nested vs Crossed Random Effects

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

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

Results paragraph (copy-paste):

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

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

21.0.98 Neural Networks: Introduction

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

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

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

Reviewer checklist for this method. → neural-networks-intro — For Reviewers

21.0.99 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

21.0.100 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

21.0.101 Offsets in Regression

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

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

Results paragraph (copy-paste):

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

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

21.0.102 Ordinal Logistic Regression

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

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

Results paragraph (copy-paste):

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

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

21.0.103 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

21.0.104 Parametric Survival: Log-Normal

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

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

Results paragraph (copy-paste):

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

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

21.0.105 Parametric Survival: Weibull

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

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

Results paragraph (copy-paste):

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

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

21.0.106 Partial Correlation

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

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

Results paragraph (copy-paste):

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

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

21.0.107 Partial Dependence Plots

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

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

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

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

21.0.108 Platt Scaling

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

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

Results paragraph (copy-paste):

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

Reviewer checklist for this method. → platt-scaling — For Reviewers

21.0.109 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

21.0.110 Poisson Regression

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

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

Results paragraph (copy-paste):

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

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

21.0.111 Polynomial Regression

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

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

Results paragraph (copy-paste):

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

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

21.0.112 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

21.0.113 Preprocessing with recipes

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

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

Results paragraph (copy-paste):

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

Reviewer checklist for this method. → recipes-preprocessing — For Reviewers

21.0.114 Probit Regression

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

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

Results paragraph (copy-paste):

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

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

21.0.115 Quantile Regression

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

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

Results paragraph (copy-paste):

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

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

21.0.116 Quasi-Poisson Regression

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

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

Results paragraph (copy-paste):

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

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

21.0.117 R-Squared and Adjusted R-Squared

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

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

Results paragraph (copy-paste):

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

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

21.0.118 Random Forests

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

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

Results paragraph (copy-paste):

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

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

21.0.119 Random-Intercept Models

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

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

Results paragraph (copy-paste):

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

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

21.0.120 Random-Slope Models

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

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

Results paragraph (copy-paste):

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

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

21.0.121 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

21.0.122 Recurrent Events

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

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

Results paragraph (copy-paste):

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

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

21.0.123 Regularisation in ML

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

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

Results paragraph (copy-paste):

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

Reviewer checklist for this method. → regularization-ridge-lasso-ml — For Reviewers

21.0.124 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

21.0.125 Residual Diagnostics

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

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

Results paragraph (copy-paste):

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

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

21.0.126 Restricted Mean Survival Time (RMST)

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

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

Results paragraph (copy-paste):

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

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

21.0.127 Ridge Regression

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

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

Results paragraph (copy-paste):

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

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

21.0.128 RNNs and LSTMs: Introduction

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

[N=] participants/observations were analysed using RNNs and LSTMs: 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):

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

Reviewer checklist for this method. → rnn-lstm-intro — For Reviewers

21.0.129 Robust Regression

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

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

Results paragraph (copy-paste):

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

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

21.0.130 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

21.0.131 ROC and AUC for Logistic Models

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

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

Results paragraph (copy-paste):

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

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

21.0.132 Royston-Parmar Flexible Parametric Models

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

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

Results paragraph (copy-paste):

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

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

21.0.133 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

21.0.134 Schoenfeld Residuals

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

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

Results paragraph (copy-paste):

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

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

21.0.135 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

21.0.136 SHAP Values

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

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

Results paragraph (copy-paste):

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

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

21.0.137 Simple Linear Regression

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

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

Results paragraph (copy-paste):

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

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

21.0.138 Simulating Survival Data

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

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

Results paragraph (copy-paste):

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

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

21.0.139 SMOTE for Imbalanced Classes

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

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

Results paragraph (copy-paste):

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

Reviewer checklist for this method. → smote-imbalanced — For Reviewers

21.0.140 Spline Regression

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

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

Results paragraph (copy-paste):

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

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

21.0.141 Stacking Ensembles

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

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

Results paragraph (copy-paste):

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

Reviewer checklist for this method. → stacking-ensembles — For Reviewers

21.0.142 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

21.0.143 Stepwise Regression: Pitfalls

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

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

Results paragraph (copy-paste):

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

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

21.0.144 Stratified Cox Models

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

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

Results paragraph (copy-paste):

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

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

21.0.145 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

21.0.146 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

21.0.147 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

21.0.148 Supervised Learning: Overview

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

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

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

Reviewer checklist for this method. → supervised-learning-overview — For Reviewers

21.0.149 The Bias-Variance Tradeoff

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

[N=] participants/observations were analysed using The Bias-Variance Tradeoff as implemented in [package vX.Y] in R [vX.Y]. Assumptions were checked: [list checks performed]. [Effect size with 95% 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 Bias-Variance Tradeoff yielded [estimate] (95% CI [lower, upper], p = [value]). [Diagnostic / assumption summary]. [Sensitivity analysis result].

Reviewer checklist for this method. → bias-variance-tradeoff — For Reviewers

21.0.150 The Brier Score for Survival

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

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

Results paragraph (copy-paste):

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

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

21.0.151 The Nelson-Aalen Estimator

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

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

Results paragraph (copy-paste):

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

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

21.0.152 Time-Dependent ROC

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

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

Results paragraph (copy-paste):

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

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

21.0.153 Time-Varying Covariates

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

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

Results paragraph (copy-paste):

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

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

21.0.154 Tobit Regression

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

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

Results paragraph (copy-paste):

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

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

21.0.155 Train-Test Splits

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

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

Results paragraph (copy-paste):

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

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

21.0.156 Transformers: Overview

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

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

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

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

21.0.157 Truncated Regression

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

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

Results paragraph (copy-paste):

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

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

21.0.158 Variable Importance

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

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

Results paragraph (copy-paste):

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

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

21.0.159 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

21.0.160 Weighted Log-Rank Tests

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

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

Results paragraph (copy-paste):

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

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

21.0.161 Worked lme4::lmer Examples

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

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

Results paragraph (copy-paste):

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

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

21.0.162 XGBoost

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

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

Results paragraph (copy-paste):

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

Reviewer checklist for this method. → xgboost — For Reviewers

21.0.163 Zero-Inflated Models

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

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

Results paragraph (copy-paste):

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

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

This book was built by the bookdown R package.