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Activity Number: 505 - Generalized Pairwise Comparisons and Win Statistics (Win Ratio, Win Odds, and Net Benefit): A Ten-Year Journey
Type: Topic Contributed
Date/Time: Thursday, August 11, 2022 : 8:30 AM to 10:20 AM
Sponsor: Biopharmaceutical Section
Abstract #322891
Title: Win Odds: An Adaptation of the Win Ratio to Include Ties
Author(s): Tobias Mütze and Tianmeng Lyu*
Companies: Novartis Pharma AG and Novartis
Keywords: win odds; win ratio; nonparametrics; pairwise comparisons; composite endpoints
Abstract:

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 presentation, 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.


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