Covariate measurement error correction methods in mediation analysis with failure time data.

ABSTRACT: Mediation analysis is important for understanding the mechanisms whereby one variable causes changes in another. Measurement error could obscure the ability of the potential mediator to explain such changes. This article focuses on developing correction methods for measurement error in the mediator with failure time outcomes. We consider a broad definition of measurement error, including technical error, and error associated with temporal variation. The underlying model with the "true" mediator is assumed to be of the Cox proportional hazards model form. The induced hazard ratio for the observed mediator no longer has a simple form independent of the baseline hazard function, due to the conditioning event. We propose a mean-variance regression calibration approach and a follow-up time regr

SUBMITTER: Zhao S 

PROVIDER: S-EPMC4276494 | biostudies-literature | 2014 Dec

REPOSITORIES: biostudies-literature