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Activity Number:
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5
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Type:
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Invited
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Date/Time:
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Sunday, July 29, 2007 : 2:00 PM to 3:50 PM
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Sponsor:
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WNAR
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| Abstract - #307783 |
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Title:
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Estimating the Distributed Lag between Air Pollution and Hospitalization Using a Bayesian Hierarchical Model
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Author(s):
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Roger Peng*+ and Francesca Dominici and Leah Welty
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Companies:
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Johns Hopkins University and Johns Hopkins University and Northwestern University
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Address:
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Department of Biostatistics, Baltimore, MD, 21205,
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Keywords:
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air pollution ; time series ; distributed lag ; hierarchical model
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Abstract:
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Numerous epidemiologic investigations have provided strong evidence of an association between increased levels of ambient air pollution and increased levels of hospital admissions. Time series studies have demonstrated an association typically at 0, 1, or 2 days after an air pollution episode. An important research aim is to obtain a more detailed understanding of the time course between exposure to air pollution and the onset of disease. Information about this time course could provide the basis for hypotheses concerning the mechanism by which air pollution causes disease. We introduce an hierarchical Bayesian distributed lag model that incorporates prior information about the time course of pollution effects and information from multiple locations. We examine the effects of pollution on cardiorespiratory diseases in a large United States air pollution and hospitalization database.
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