Estimating Mann-Whitney-Type Causal Effects for Right-Censored Survival Outcomes

Zhiwei Zhang (Corresponding Author), Chunling Liu, Shujie Ma, Min Zhang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Article number20180010
Pages (from-to)1-15
Number of pages15
JournalJournal of Causal Inference
Volume7
Issue number1
DOIs
Publication statusPublished - Mar 2019

Keywords

  • coarsening
  • confounding
  • double robustness
  • time to event
  • treatment comparison

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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