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 language | English (US) |
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Pages (from-to) | 2384-2400 |
Number of pages | 17 |
Journal | Statistical Methods in Medical Research |
Volume | 27 |
Issue number | 8 |
DOIs | |
State | Published - 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