A Bayesian semiparametric approach for incorporating longitudinal information on exposure history for inference in case-control studies.

ABSTRACT: In a typical case-control study, exposure information is collected at a single time point for the cases and controls. However, case-control studies are often embedded in existing cohort studies containing a wealth of longitudinal exposure history about the participants. Recent medical studies have indicated that incorporating past exposure history, or a constructed summary measure of cumulative exposure derived from the past exposure history, when available, may lead to more precise and clinically meaningful estimates of the disease risk. In this article, we propose a flexible Bayesian semiparametric approach to model the longitudinal exposure profiles of the cases and controls and then use measures of cumulative exposure based on a weighted integral of this trajectory in the final disease

SUBMITTER: Bhadra D 

PROVIDER: S-EPMC3935236 | biostudies-literature | 2012 Jun

REPOSITORIES: biostudies-literature