The stratified win statistics (win ratio, win odds, and net benefit)

Author:

Dong Gaohong1ORCID,Hoaglin David C.2ORCID,Huang Bo3ORCID,Cui Ying4,Wang Duolao5,Cheng Yu6,Gamalo‐Siebers Margaret7ORCID

Affiliation:

1. BeiGene Ridgefield Park New Jersey USA

2. Department of Population and Quantitative Health Sciences UMass Chan Medical School Worcester Massachusetts USA

3. Pfizer Inc. Groton Connecticut USA

4. Department of Biostatistics and Bioinformatics Emory University Atlanta Georgia USA

5. Liverpool School of Tropical Medicine Liverpool UK

6. Department of Statistics University of Pittsburgh Pittsburgh Pennsylvania USA

7. Pfizer Inc. Collegeville Pennsylvania USA

Abstract

AbstractThe win odds and the net benefit are related directly to each other and indirectly, through ties, to the win ratio. These three win statistics test the same null hypothesis of equal win probabilities between two groups. They provide similar p‐values and powers, because the Z‐values of their statistical tests are approximately equal. Thus, they can complement one another to show the strength of a treatment effect. In this article, we show that the estimated variances of the win statistics are also directly related regardless of ties or indirectly related through ties. Since its introduction in 2018, the stratified win ratio has been applied in designs and analyses of clinical trials, including Phase III and Phase IV studies. This article generalizes the stratified method to the win odds and the net benefit. As a result, the relations of the three win statistics and the approximate equivalence of their statistical tests also hold for the stratified win statistics.

Publisher

Wiley

Subject

Pharmacology (medical),Pharmacology,Statistics and Probability

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