Power and sample size calculation for the win odds test: application to an ordinal endpoint in COVID-19 trials
Samvel B. Gasparyan, Elaine K. Kowalewski, Folke Folkvaljon, Olof Bengtsson, Joan Buenconsejo, John R. Adler, Gary G. Koch
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.
Topics & Concepts
OddsOrdinal dataOrdinal regressionSample size determinationOutcome (game theory)StatisticsOrdinal ScaleOdds ratioStatistical powerRandom effects modelSample (material)Computer scienceMathematicsEconometricsMedicineMeta-analysisLogistic regressionInternal medicineMathematical economicsChemistryChromatographyStatistical Methods in Clinical TrialsAdvanced Causal Inference TechniquesHealth Systems, Economic Evaluations, Quality of Life