Spatial variable selection methods for investigating acute health effects of fine particulate matter components.

ABSTRACT: Multi-site time series studies have reported evidence of an association between short term exposure to particulate matter (PM) and adverse health effects, but the effect size varies across the United States. Variability in the effect may partially be due to differing community level exposure and health characteristics, but also due to the chemical composition of PM which is known to vary greatly by location and time. The objective of this article is to identify particularly harmful components of this chemical mixture. Because of the large number of highly-correlated components, we must incorporate some regularization into a statistical model. We assume that, at each spatial location, the regression coefficients come from a mixture model with the flavor of stochastic search variable selecti

SUBMITTER: Boehm Vock LF 

PROVIDER: S-EPMC4394902 | biostudies-literature | 2015 Mar

REPOSITORIES: biostudies-literature