What question did this study set out to answer?

The study aims to develop a rank-based data analysis technique for randomized trials with co-primary endpoints of varying scales.

A rank-based approach to randomized controlled trials with multiple co-primary endpoints of different scales

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Randomized trial evaluates treatment effects on multiple co-primary endpoints, suggesting efficient analysis methods.

The study aims to develop a rank-based data analysis technique for randomized trials with co-primary endpoints of varying scales.
Proposed a rank-based approach for analyzing co-primary endpoints.
Quantified treatment effect using win probability (WinP) between treatment and control groups.
Performed simulations to assess confidence interval coverage and sample size requirements.
The rank-based approach achieved reliable confidence interval coverage for WinPs.
Baseline adjustments improved efficiency, while data dichotomization significantly decreased efficiency.
Sample size formulas ensured that the lower limits of CIs for endpoints exceeded 0.50.

Guangyong Zou (2026) studied this question.

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