Abstract Details
Activity Number:
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603
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Type:
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Contributed
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Date/Time:
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Wednesday, August 12, 2015 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistics in Epidemiology
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Abstract #316738
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Title:
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Evaluation of Source-Specific Health Effects on Low Daily Mortality Accounting for Uncertainty in Source Apportionment
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Author(s):
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Eun Sug Park* and Man-Suk Oh
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Companies:
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Texas A&M Transportation Institute and Ewha Womans University
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Keywords:
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Source-specific exposures ;
Multipollutant approach ;
Multivariate receptor models ;
Model uncertainty ;
Poisson health outcome
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Abstract:
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Assessment of source-specific health effects has received increasing attention in air pollution epidemiology over the past decade. While there have been several studies that evaluated source-specific health effects, the uncertainty in the estimated source-specific exposures (source contributions) as well as the inherent model uncertainty in source apportionment have been largely ignored. We present a unified Bayesian approach to evaluation of source-specific health effects on low daily mortality that can handle both parameter uncertainty and model uncertainty in source apportionment. The proposed method is illustrated with real multi-pollutant data and daily mortality data as well as simulated data.
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Authors who are presenting talks have a * after their name.
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