JSM 2004 - Toronto

Abstract #302223

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Activity Number: 14
Type: Topic Contributed
Date/Time: Sunday, August 8, 2004 : 2:00 PM to 3:50 PM
Sponsor: Section on Bayesian Statistical Science
Abstract - #302223
Title: Bayesian Spatial Modeling of Air Pollution in 12 Southern California Communities Incorporating Space-time Interaction
Author(s): Nuoo-Ting Molitor*+ and John Molitor
Companies: University of Southern California and University of Southern California
Address: 1540 Alcazar Street, Los Angeles, CA, 90089-9011,
Keywords: Bayesian statistics ; spatial analysis ; space-time tnteraction ; air pollution ; lung function
Abstract:

We present an application of Bayesian spatial methods to the analysis of the effect of air pollution on the lung function of children in Southern California communities. The data were obtained from The Southern California Children's Health Study (CHS), a prospective study in children that was designed to examine long-term effects of air pollution on respiratory health. Bayesian spatial methods incorporating space-time interaction will be employed. Analysis will be performed using the WinBUGS software.

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