A systematic comparison of statistical methods to detect interactions in exposome-health associations.

ABSTRACT:

Background

There is growing interest in examining the simultaneous effects of multiple exposures and, more generally, the effects of mixtures of exposures, as part of the exposome concept (being defined as the totality of human environmental exposures from conception onwards). Uncovering such combined effects is challenging owing to the large number of exposures, several of them being highly correlated. We performed a simulation study in an exposome context to compare the performance of several statistical methods that have been proposed to detect statistical interactions.

Methods

Simulations were based on an exposome including 237 exposures with a realistic correlation structure. We considered several statistical regression-based methods, including two-step Environment-Wide

SUBMITTER: Barrera-Gomez J 

PROVIDER: S-EPMC5513197 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature