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Abstract Details
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Activity Number:
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185
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Type:
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Contributed
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Date/Time:
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Monday, August 1, 2011 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistics in Epidemiology
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| Abstract - #303071 |
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Title:
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Linking Unknown Source Exposures to Health Effects
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Author(s):
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Eun Sug Park*+
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Companies:
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Texas Transportation Institute
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Address:
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The Texa A&M University System, College Station, TX, 77843-3135,
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Keywords:
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Multiple air pollutants ;
Multivariate receptor modeling ;
model uncertainty
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Abstract:
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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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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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