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Power and sample size calculation for the win odds test: application to an ordinal endpoint in COVID-19 trials.
Gasparyan, Samvel B; Kowalewski, Elaine K; Folkvaljon, Folke; Bengtsson, Olof; Buenconsejo, Joan; Adler, John; Koch, Gary G.
Afiliação
  • Gasparyan SB; Biometrics, Late Stage Development, Cardiovascular, Renal and Metabolism, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden.
  • Kowalewski EK; Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, USA.
  • Folkvaljon F; Biometrics, Late Stage Development, Cardiovascular, Renal and Metabolism, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden.
  • Bengtsson O; Biometrics, Late Stage Development, Cardiovascular, Renal and Metabolism, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden.
  • Buenconsejo J; Biometrics, Late Stage Development, Cardiovascular, Renal and Metabolism, BioPharmaceuticals R&D, AstraZeneca, Gaithersburg, USA.
  • Adler J; Biometrics, Late Stage Development, Cardiovascular, Renal and Metabolism, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden.
  • Koch GG; Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, USA.
J Biopharm Stat ; 31(6): 765-787, 2021 11 02.
Article em En | MEDLINE | ID: mdl-34551682
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article