An optimal Wilcoxon–Mann–Whitney test of mortality and a continuous outcome

Roland A. Matsouaka, Aneesh B. Singhal, Rebecca A. Betensky

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)2384-2400
Number of pages17
JournalStatistical Methods in Medical Research
Volume27
Issue number8
DOIs
StatePublished - Aug 1 2018

Keywords

  • Missing data
  • censored-by-death
  • composite endpoints
  • multiple endpoints
  • survivor bias
  • weighted Wilcoxon–Mann–Whitney test

ASJC Scopus subject areas

  • Epidemiology
  • Statistics and Probability
  • Health Information Management

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