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

被引:5
|
作者
Dong, Gaohong [1 ,8 ]
Hoaglin, David C. [2 ]
Huang, Bo [3 ]
Cui, Ying [4 ]
Wang, Duolao [5 ]
Cheng, Yu [6 ]
Gamalo-Siebers, Margaret [7 ]
机构
[1] BeiGene, Ridgefield Pk, NJ USA
[2] UMass Chan Med Sch, Dept Populat & Quantitat Hlth Sci, Worcester, MA USA
[3] Pfizer Inc, Groton, CT USA
[4] Emory Univ, Dept Biostat & Bioinformat, Atlanta, GA USA
[5] Univ Liverpool Liverpool Sch Trop Med, Liverpool, England
[6] Univ Pittsburgh, Dept Stat, Pittsburgh, PA USA
[7] Pfizer Inc, Collegeville, PA USA
[8] BeiGene, 55 Challenger Rd, Ridgefield Pk, NJ 07660 USA
基金
美国国家卫生研究院;
关键词
Finkelstein-Schoenfeld test; generalized pairwise comparisons; mantel-Haenszel method; net benefit; win odds; win ratio; MORTALITY;
D O I
10.1002/pst.2293
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
The 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.
引用
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页码:748 / 756
页数:9
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