Literature DB >> 35698787

Group sequential methods for the Mann-Whitney parameter.

Claus P Nowak1,2, Tobias Mütze3, Frank Konietschke1.   

Abstract

Late phase clinical trials are occasionally planned with one or more interim analyses to allow for early termination or adaptation of the study. While extensive theory has been developed for the analysis of ordered categorical data in terms of the Wilcoxon-Mann-Whitney test, there has been comparatively little discussion in the group sequential literature on how to provide repeated confidence intervals and simple power formulas to ease sample size determination. Dealing more broadly with the nonparametric Behrens-Fisher problem, we focus on the comparison of two parallel treatment arms and show that the Wilcoxon-Mann-Whitney test, the Brunner-Munzel test, as well as a test procedure based on the log win odds, a modification of the win ratio, asymptotically follow the canonical joint distribution. In addition to developing power formulas based on these results, simulations confirm the adequacy of the proposed methods for a range of scenarios. Lastly, we apply our methodology to the FREEDOMS clinical trial (ClinicalTrials.gov Identifier: NCT00289978) in patients with relapse-remitting multiple sclerosis.

Entities:  

Keywords:  Brunner-Munzel test; Wilcoxon-Mann-Whitney test; error spending; group sequential methods; nonparametric relative effect; win odds

Mesh:

Year:  2022        PMID: 35698787      PMCID: PMC9523827          DOI: 10.1177/09622802221107103

Source DB:  PubMed          Journal:  Stat Methods Med Res        ISSN: 0962-2802            Impact factor:   2.494


  15 in total

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9.  Causal estimands and confidence intervals associated with Wilcoxon-Mann-Whitney tests in randomized experiments.

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