Literature DB >> 34551682

Power and sample size calculation for the win odds test: application to an ordinal endpoint in COVID-19 trials.

Samvel B Gasparyan1, Elaine K Kowalewski2, Folke Folkvaljon1, Olof Bengtsson1, Joan Buenconsejo3, John Adler1, Gary G Koch2.   

Abstract

The win odds is a distribution-free method of comparing locations of distributions of two independent random variables. Introduced as a method for analyzing hierarchical composite endpoints, it is well suited to be used in the analysis of ordinal scale endpoints in COVID-19 clinical trials. For a single outcome, we provide power and sample size calculation formulas for the win odds test. We also provide an implementation of the win odds analysis method for a single ordinal outcome in a commonly used statistical software to make the win odds analysis fully reproducible.

Entities:  

Keywords:  COVID-19; Fligner-Policello; Mann-Whitney; SAS software; Somers’ D C/R; Wilcoxon rank-sum; Win odds; effect size; number needed to treat; power; sample size

Mesh:

Year:  2021        PMID: 34551682     DOI: 10.1080/10543406.2021.1968893

Source DB:  PubMed          Journal:  J Biopharm Stat        ISSN: 1054-3406            Impact factor:   1.051


  1 in total

1.  Design and Analysis of Studies Based on Hierarchical Composite Endpoints: Insights from the DARE-19 Trial.

Authors:  Samvel B Gasparyan; Joan Buenconsejo; Elaine K Kowalewski; Jan Oscarsson; Olof F Bengtsson; Russell Esterline; Gary G Koch; Otavio Berwanger; Mikhail N Kosiborod
Journal:  Ther Innov Regul Sci       Date:  2022-06-14       Impact factor: 1.337

  1 in total

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