Multiply robust estimator for the difference in survival functions using pseudo-observations.

ABSTRACT:

Background

When estimating the causal effect on survival outcomes in observational studies, it is necessary to adjust confounding factors due to unbalanced covariates between treatment and control groups. There is no study on multiple robust method for estimating the difference in survival functions. In this study, we propose a multiply robust (MR) estimator, allowing multiple propensity score models and outcome regression models, to provide multiple protection.

Method

Based on the previous MR estimator (Han 2014) and pseudo-observation approach, we proposed a new MR estimator for estimating the difference in survival functions. The proposed MR estimator based on the pseudo-observation approach has several advantages. First, the proposed estimator has a small bias when any P

SUBMITTER: Wang C 

PROVIDER: S-EPMC10591363 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature