2024
DOI: 10.1002/sim.10247
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A Nonparametric Global Win Probability Approach to the Analysis and Sizing of Randomized Controlled Trials With Multiple Endpoints of Different Scales and Missing Data: Beyond O'Brien–Wei–Lachin

Guangyong Zou,
Lily Zou

Abstract: Multiple primary endpoints are commonly used in randomized controlled trials to assess treatment effects. When the endpoints are measured on different scales, the O'Brien rank‐sum test or the Wei–Lachin test for stochastic ordering may be used for hypothesis testing. However, the O'Brien–Wei–Lachin (OWL) approach is unable to handle missing data and adjust for baseline measurements. We present a nonparametric approach for data analysis that encompasses the OWL approach as a special case. Our approach is based … Show more

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