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Updated: Mar 10, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
An optimal Wilcoxon-Mann-Whitney test of mortality and a continuous outcome
Roland A Matsouaka1,2, Aneesh B Singhal3, Rebecca A Betensky4,5
11 Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA.
Abstract:
We consider a two-group randomized clinical trial, where mortality affects the assessment of a follow-up continuous outcome. Using the worst-rank composite endpoint, we develop a weighted Wilcoxon-Mann-Whitney test statistic to analyze the data. We determine the optimal weights for the Wilcoxon-Mann-Whitney test statistic that maximize its power. We derive a formula for its power and demonstrate its accuracy in simulations. Finally, we apply the method to data from an acute ischemic stroke clinical trial of normobaric oxygen therapy.
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