JSM 2011 Online Program

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Abstract Details

Activity Number: 185
Type: Contributed
Date/Time: Monday, August 1, 2011 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #303071
Title: Linking Unknown Source Exposures to Health Effects
Author(s): Eun Sug Park*+
Companies: Texas Transportation Institute
Address: The Texa A&M University System, College Station, TX, 77843-3135,
Keywords: Multiple air pollutants ; Multivariate receptor modeling ; model uncertainty

There has been increasing interest in assessing health effects associated with sources of air pollutants. One of the major difficulties with achieving this goal is that in most cases the pollution sources are unknown and source-specific exposures cannot be measured directly; rather, they often need to be estimated by decomposing ambient measurements of multiple air pollutants. This process, called source identification and apportionment, is challenging because of the issues of the unknown number of sources and non-identifiability. An approach to account for both model uncertainty caused by the unknown number of sources and non-identifiability and uncertainty in estimated source-specific exposures into evaluation of source-specific health effects is presented. The method will be illustrated on real mortality data and speciated PM2.5 data.

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