Abstract #300410

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JSM 2003 Abstract #300410
Activity Number: 78
Type: Topic Contributed
Date/Time: Monday, August 4, 2003 : 8:30 AM to 10:20 AM
Sponsor: Section on Bayesian Stat. Sciences
Abstract - #300410
Title: Bayesian Capture-Recapture Applications in Epidemiology
Author(s): Xiaoyin Wang*+ and Zhuoqiong (Chong) He and Dongchu Sun
Companies: University of Towson and University of Missouri, Columbia and University of Missouri, Columbia
Address: Dept. of Mathematics, Stephens Hall 301, Towson, MD, 21252-0001,
Keywords: Bayesian ; capture-recapture ; MCMC ; tag-lost ; two-list
Abstract:

In applying capture-recapture methods for closed populations to epidemiology, one is interested in estimating the total number of people with a certain disease in a certain research area by using several lists with patient information. Problems of list error often arise due to typing error or misinformation. Adopting the concept of tag-loss methodology in animal populations, Seber, et al. (2000) studied a two-list problem. We discuss this problem in a Bayesian framework. Markov chain Monte Carlo is used in the computation. Bayesian approaches give useful estimates of population sizes with more accuracy.


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