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

Laura F Boehm Vock; Brian J Reich; Montserrat Fuentes; Francesca Dominici

doi:10.1111/biom.12254

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

Journal article

Open access

Peer reviewed

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

Laura F Boehm Vock, Brian J Reich, Montserrat Fuentes and Francesca Dominici

Biometrics, Vol.71(1), pp.167-177

03/01/2015

DOI: 10.1111/biom.12254

PMCID: PMC4394902

PMID: 25303336

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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 selection, but utilize a copula to share information about variable inclusion and effect magnitude across locations. The model differs from current spatial variable selection techniques by accommodating both local and global variable selection. The model is used to study the association between fine PM (PM <2.5μm) components, measured at 115 counties nationally over the period 2000-2008, and cardiovascular emergency room admissions among Medicare patients.

Air Pollution

Comorbidity

Health aspects

Geospatial data

Analysis

Methods

Investigations

bayesian modeling

fine particulate matter

stochastic search variable selection

environmental exposure

environmental modeling

cardiovascular diseases mortality

Details

Title: Subtitle: Spatial variable selection methods for investigating acute health effects of fine particulate matter components
Creators: Laura F Boehm Vock
Brian J Reich
Montserrat Fuentes - University of Iowa, Provost Office Administration
Francesca Dominici
Resource Type: Journal article
Publication Details: Biometrics, Vol.71(1), pp.167-177
DOI: 10.1111/biom.12254
PMID: 25303336
PMCID: PMC4394902
NLM abbreviation: Biometrics
ISSN: 0006-341X
eISSN: 1541-0420
Publisher: Wiley Subscription Services, Inc
Grant note: 5R01ES014843-02/ES/NIEHS NIH HHS/United States R21ES022585-01/ES/NIEHS NIH HHS/United States R21 ES022585/ES/NIEHS NIH HHS/United States R21ES022795-01A1/ES/NIEHS NIH HHS/United States R01ES019560/ES/NIEHS NIH HHS/United States
Language: English
Date published: 03/01/2015
Description audience: Academic
Academic Unit: Statistics and Actuarial Science; Biostatistics; Provost Office Administration
Record Identifier: 9983764493202771

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