Bias Due to Confounders for the Exposure-Competing Risk Relationship.

ABSTRACT:

Background

Epidemiologic studies that aim to estimate a causal effect of an exposure on a particular event of interest may be complicated by the existence of competing events that preclude the occurrence of the primary event. Recently, many articles have been published in the epidemiologic literature demonstrating the need for appropriate models to accommodate competing risks when they are present. However, there has been little attention to variable selection for confounder control in competing risk analyses.

Methods

We employ simulation to demonstrate the bias in two variable selection strategies include covariates that are associated with the exposure and (1) which change the cause-specific hazard of any of the outcomes; or (2) which change the cause-specific hazard of th

SUBMITTER: Lesko CR 

PROVIDER: S-EPMC5489237 | biostudies-literature | 2017 Jan

REPOSITORIES: biostudies-literature