Power and sample size calculation for the win odds test: application to an ordinal endpoint in COVID-19 trials
| Autor: | Gary G. Koch, Elaine K Kowalewski, Olof Bengtsson, John Adler, Samvel B. Gasparyan, Joan Buenconsejo, Folke Folkvaljon |
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| Rok vydání: | 2021 |
| Předmět: |
Pharmacology
Statistics and Probability Computer Science::Computer Science and Game Theory Wilcoxon signed-rank test Ordinal Scale COVID-19 Outcome (probability) Test (assessment) Odds Research Design Sample size determination Sample Size Statistics Mann–Whitney U test Humans Pharmacology (medical) Random variable Mathematics |
| Zdroj: | Journal of Biopharmaceutical Statistics. 31:765-787 |
| ISSN: | 1520-5711 1054-3406 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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