Does exposure prediction bias health-effect estimation?: The relationship between confounding adjustment and exposure prediction.

ABSTRACT: In environmental epidemiology, we are often faced with 2 challenges. First, an exposure prediction model is needed to estimate the exposure to an agent of interest, ideally at the individual level. Second, when estimating the health effect associated with the exposure, confounding adjustment is needed in the health-effects regression model. The current literature addresses these 2 challenges separately. That is, methods that account for measurement error in the predicted exposure often fail to acknowledge the possibility of confounding, whereas methods designed to control confounding often fail to acknowledge that the exposure has been predicted. In this article, we consider exposure prediction and confounding adjustment in a health-effects regression model simultaneously. Using theoretica

SUBMITTER: Cefalu M 

PROVIDER: S-EPMC4206696 | biostudies-literature | 2014 Jul

REPOSITORIES: biostudies-literature