| Literature DB >> 27920364 |
Roland A Matsouaka1,2, Aneesh B Singhal3, Rebecca A Betensky4,5.
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.Entities:
Keywords: Missing data; censored-by-death; composite endpoints; multiple endpoints; survivor bias; weighted Wilcoxon–Mann–Whitney test
Mesh:
Year: 2016 PMID: 27920364 PMCID: PMC5393279 DOI: 10.1177/0962280216680524
Source DB: PubMed Journal: Stat Methods Med Res ISSN: 0962-2802 Impact factor: 3.021