Bayesian distributed lag interaction models to identify perinatal windows of vulnerability in children's health.

ABSTRACT: Epidemiological research supports an association between maternal exposure to air pollution during pregnancy and adverse children's health outcomes. Advances in exposure assessment and statistics allow for estimation of both critical windows of vulnerability and exposure effect heterogeneity. Simultaneous estimation of windows of vulnerability and effect heterogeneity can be accomplished by fitting a distributed lag model (DLM) stratified by subgroup. However, this can provide an incomplete picture of how effects vary across subgroups because it does not allow for subgroups to have the same window but different within-window effects or to have different windows but the same within-window effect. Because the timing of some developmental processes are common across subpopulations of infants

SUBMITTER: Wilson A 

PROVIDER: S-EPMC5862289 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature