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

Samvel B GasparyanElaine Kearney KowalewskiFolke FolkvaljonOlof BengtssonJoan BuenconsejoJohn AdlerGary G Koch
Published in: Journal of biopharmaceutical statistics (2021)
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.
Keyphrases
  • coronavirus disease
  • sars cov
  • clinical trial
  • healthcare
  • primary care
  • monte carlo
  • respiratory syndrome coronavirus
  • phase ii