Lagged kernel machine regression for identifying time windows of susceptibility to exposures of complex mixtures.

ABSTRACT: The impact of neurotoxic chemical mixtures on children's health is a critical public health concern. It is well known that during early life, toxic exposures may impact cognitive function during critical time intervals of increased vulnerability, known as windows of susceptibility. Knowledge on time windows of susceptibility can help inform treatment and prevention strategies, as chemical mixtures may affect a developmental process that is operating at a specific life phase. There are several statistical challenges in estimating the health effects of time-varying exposures to multi-pollutant mixtures, such as: multi-collinearity among the exposures both within time points and across time points, and complex exposure-response relationships. To address these concerns, we develop a flexible s

SUBMITTER: Liu SH 

PROVIDER: S-EPMC5991212 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature