Propensity score matching for treatment delay effects with observational survival data.

ABSTRACT: In observational studies with a survival outcome, treatment initiation may be time dependent, which is likely to be affected by both time-invariant and time-varying covariates. In situations where the treatment is necessary for the study population, all or most subjects may be exposed to the treatment sooner or later. In this scenario, the causal effect of interest is the delay in treatment reception. A simple comparison of those receiving treatment early vs. those receiving treatment late might not be appropriate, as the timing of the treatment reception is not randomized. Extending Lu's matching design with time-varying covariates, we propose a propensity score matching strategy to estimate the treatment delay effect. The goal is to balance the covariate distribution between on-time trea

SUBMITTER: Hade EM 

PROVIDER: S-EPMC7885462 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature