Win odds: An adaptation of the win ratio to include ties

被引:47
作者
Brunner, Edgar [1 ]
Vandemeulebroecke, Marc [2 ]
Muetze, Tobias [3 ]
机构
[1] Univ Med Ctr Gottingen, Dept Med Stat, Gottingen, Germany
[2] Novartis Pharma AG, Clin Dev & Analyt, Basel, Switzerland
[3] Novartis Pharma AG, Stat Methodol, Novartis Campus, CH-4056 Basel, Switzerland
关键词
multiple sclerosis; nonparametrics; win odds; win ratio;
D O I
10.1002/sim.8967
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
The win ratio, a recently proposed measure for comparing the benefit of two treatment groups, allows ties in the data but ignores ties in the inference. In this article, we highlight some difficulties that this can lead to, and we propose to focus on the win odds instead, a modification of the win ratio which takes ties into account. We construct hypothesis tests and confidence intervals for the win odds, and we investigate their properties through simulations and in a case study. We conclude that the win odds should be preferred over the win ratio.
引用
收藏
页码:3367 / 3384
页数:18
相关论文
共 58 条
[1]   The win ratio approach to analyzing composite outcomes: An application to the EVOLVE trial [J].
Abdalla, Safa ;
Montez-Rath, Maria E. ;
Parfrey, Patrick S. ;
Chertow, Glenn M. .
CONTEMPORARY CLINICAL TRIALS, 2016, 48 :119-124
[2]   Applying novel methods to assess clinical outcomes: insights from the TRILOGY ACS trial [J].
Bakal, Jeffrey A. ;
Roe, Matthew T. ;
Ohman, E. Magnus ;
Goodman, Shaun G. ;
Fox, Keith A. A. ;
Zheng, Yinggan ;
Westerhout, Cynthia M. ;
Hochman, Judith S. ;
Lokhnygina, Yuliya ;
Brown, Eileen B. ;
Armstrong, Paulw. .
EUROPEAN HEART JOURNAL, 2015, 36 (06) :385-+
[3]   Large sample inference for a win ratio analysis of a composite outcome based on prioritized components [J].
Bebu, Ionut ;
Lachin, John M. .
BIOSTATISTICS, 2016, 17 (01) :178-187
[4]   BOUNDS FOR THE VARIANCE OF THE MANN-WHITNEY STATISTIC [J].
BIRNBAUM, ZW ;
KLOSE, OM .
ANNALS OF MATHEMATICAL STATISTICS, 1957, 28 (04) :933-945
[5]  
Brunner E, 2000, BIOMETRICAL J, V42, P17, DOI 10.1002/(SICI)1521-4036(200001)42:1<17::AID-BIMJ17>3.0.CO
[6]  
2-U
[7]  
Brunner E., 2020, ARXIV PREPRINT ARXIV
[8]  
Brunner E, 2019, Rank and Pseudo-Rank Procedures for Independent Observations in Factorial Designs
[9]   A new measure of treatment effect in clinical trials involving competing risks based on generalized pairwise comparisons [J].
Cantagallo, Eva ;
De Backer, Mickael ;
Kicinski, Michal ;
Ozenne, Brice ;
Collette, Laurence ;
Legrand, Catherine ;
Buyse, Marc ;
Peron, Julien .
BIOMETRICAL JOURNAL, 2021, 63 (02) :272-288
[10]  
Dong G., 2020, STAT BIOPHARM RES, V12, P99, DOI DOI 10.1080/19466315.2019.1575279