可能性
优势比
推论
构造(python库)
置信区间
光学(聚焦)
人际关系
适应(眼睛)
计算机科学
心理学
统计
社会心理学
数学
人工智能
逻辑回归
光学
机器学习
神经科学
物理
程序设计语言
作者
Edgar Brunner,Marc Vandemeulebroecke,Tobias Mütze
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.
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