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Abstract Details
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Activity Number:
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479
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Type:
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Contributed
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Date/Time:
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Wednesday, August 3, 2011 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Statistics in Epidemiology
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| Abstract - #301990 |
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Title:
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Risk Evaluation for Obesity-Related Diseases Using Bayesian Hierarchical Model
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Author(s):
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Casey Jelsema*+ and Rajib Paul and Joseph D'Ambrosio and Luis Toledo
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Companies:
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Western Michigan University and Western Michigan University and Michigan State University and Michigan State University
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Address:
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1018 Claymoor Dr Apt 1C, Kalamazoo, MI, 49009, United States
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Keywords:
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CAR Model ;
Center for Disease Control ;
Cardiovascular Diseases ;
MCMC
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Abstract:
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In recent years, obesity related diseases such as diabetes, hypertension, cardiovascular diseases, etc. have become prevalent in the United States. We develop a Bayesian hierarchical model to characterize these multiple disease interactions. Our model incorporates the effects of an individual's lifestyle, pre-existing medical conditions, other demographic information. We fit our model to the collected by the Center for Disease Control as a part their Behavioral Risk Factor Surveillance System. We produce disease-risk maps. Inferences on the model parameters are based on Markov Chain Monte Carlo simulation.
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