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Activity Number:
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311
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Type:
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Invited
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Date/Time:
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Tuesday, July 31, 2007 : 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 - #308009 |
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Title:
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Modeling Time-Varying Exposures in Epidemiology
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Author(s):
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Francesca Dominici*+
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Companies:
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Johns Hopkins University
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Address:
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615 N Wolfe St, Baltimore, MD, 21205-2103,
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Keywords:
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air pollution exposure ; causal parameters ; risk assessment
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Abstract:
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Despite the increasingly stringent national air quality regulations, adverse health effects associated with exposure to air pollution persists. Not surprisingly, regulators are looking for evidence of the gains in public health that have followed the implementation of costly regulatory policies. In this paper we develop statistical methods for assessing the health impact of air quality regulations. Specifically we plan to develop: 1) methods for predicting local and national PM long-term trends; 2) methods for cohort studies for estimating associations between long-term exposure to PM and mortality; and 3) a causal framework for estimating the total reduction of deaths attributable to regulations. The methods will be applied to the National Medicare Cohort Study (1999-2006).
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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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