Selected article for: "sample size and statistical method"

Author: Gasparyan, Samvel B; Kowalewski, Elaine K; Folkvaljon, Folke; Bengtsson, Olof; Buenconsejo, Joan; Adler, John; Koch, Gary G
Title: Power and sample size calculation for the win odds test: application to an ordinal endpoint in COVID-19 trials.
  • Cord-id: yuv8pv79
  • Document date: 2021_9_23
  • ID: yuv8pv79
    Snippet: 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
    Document: 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.

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