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Estimating Mann–Whitney-Type Causal Effects for Right-Censored Survival Outcomes
Journal of Causal Inference ( IF 1.4 ) Pub Date : 2019-04-26 , DOI: 10.1515/jci-2018-0010
Zhiwei Zhang 1 , Chunling Liu 2 , Shujie Ma 1 , Min Zhang 3
Affiliation  

Abstract Mann–Whitney-type causal effects are clinically relevant, easy to interpret, and readily applicable to a wide range of study settings. This article considers estimation of such effects when the outcome variable is a survival time subject to right censoring. We derive and discuss several methods: an outcome regression method based on a regression model for the survival outcome, an inverse probability weighting method based on models for treatment assignment and censoring, and two doubly robust methods that involve both types of models and that remain valid under correct specification of the outcome model or the other two models. The methods are compared in a simulation study and applied to an observational study of hospitalized pneumonia.

中文翻译:

估计右截尾生存结果的 Mann-Whitney 型因果效应

摘要 Mann-Whitney 型因果效应具有临床相关性、易于解释且易于适用于广泛的研究环境。本文考虑了当结果变量是受右删失的生存时间时对这种影响的估计。我们推导出并讨论了几种方法:一种基于生存结果回归模型的结果回归方法,一种基于治疗分配和审查模型的逆概率加权方法,以及两种涉及两种类型模型并保持有效的双重稳健方法在结果模型或其他两个模型的正确规范下。这些方法在模拟研究中进行了比较,并应用于住院肺炎的观察性研究。
更新日期:2019-04-26
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