| Literature DB >> 34551682 |
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