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Activity Number:
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429
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Type:
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Luncheons
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Date/Time:
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Wednesday, August 9, 2006 : 12:30 PM to 1:50 PM
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Sponsor:
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Section on Health Policy Statistics
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| Abstract - #307224 |
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Title:
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Mapping and Applications in Spatio-Temporal Public Health Data
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Author(s):
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Bradley P. Carlin*+
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Companies:
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University of Minnesota
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Address:
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A460 Mayo Building, MMC 303, Minneapolis, MN, 55455 ,
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Keywords:
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GIS ; hierarchical models ; mapping ; MCMC ; public health ; spatio-temporal data
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Abstract:
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In the past decade, hierarchical Bayesian modeling of geographically referenced data has been abetted greatly by two significant developments in computing: geographic information systems (GISs) for the simultaneous graphical display and summary of the data and Markov chain Monte Carlo (MCMC) methods for the estimation of relevant posterior quantities. This talk surveys the author's work in this area, illustrated with examples drawn from public health practice. For instance, we will describe one study attempting to relate radon exposure and lung cancer near a former nuclear weapons facility in southwestern Ohio and another modeling pediatric emergency room visit counts for asthma as a function of ozone exposure and a range of sociodemographic variables among children in the Atlanta, Georgia, area.
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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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