Power and sample size calculation for the win odds test: application to an ordinal endpoint in COVID-19 trials
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.
Authors
- Olof Bengtsson (ORCID: https://orcid.org/0000-0003-1315-8176)
- Samvel B. Gasparyan (ORCID: https://orcid.org/0000-0002-4797-2208)
- Joan Buenconsejo (ORCID: https://orcid.org/0000-0003-4514-2208)
- Elaine K. Kowalewski (ORCID: https://orcid.org/0000-0002-7915-877X)
- Folke Folkvaljon
- John R. Adler (ORCID: https://orcid.org/0000-0003-1604-5425)
- Gary G. Koch
Institutions
- University of North Carolina at Chapel Hill (US)
Publication Details
- Journal
- UNC Libraries
- Published
- 2025-06-21
- DOI
- https://doi.org/10.17615/3stx-5h12
- Primary Topic
- Statistical Methods in Clinical Trials
- Type
- article
- Field-Weighted Citation Impact
- 0.00