Estimation of average causal effect using the restricted mean residual lifetime as effect measure

Zahra Mansourvar () and Torben Martinussen ()
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Zahra Mansourvar: University of Copenhagen
Torben Martinussen: University of Copenhagen

Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, 2017, vol. 23, issue 3, No 5, 426-438

Abstract: Abstract Although mean residual lifetime is often of interest in biomedical studies, restricted mean residual lifetime must be considered in order to accommodate censoring. Differences in the restricted mean residual lifetime can be used as an appropriate quantity for comparing different treatment groups with respect to their survival times. In observational studies where the factor of interest is not randomized, covariate adjustment is needed to take into account imbalances in confounding factors. In this article, we develop an estimator for the average causal treatment difference using the restricted mean residual lifetime as target parameter. We account for confounding factors using the Aalen additive hazards model. Large sample property of the proposed estimator is established and simulation studies are conducted in order to assess small sample performance of the resulting estimator. The method is also applied to an observational data set of patients after an acute myocardial infarction event.

Keywords: Aalen model; Average causal effect; Confounding; Restricted mean residual lifetime; Survival data (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/s10985-016-9366-z

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