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Activity Number:
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30
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Type:
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Contributed
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Date/Time:
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Sunday, August 6, 2006 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Bayesian Statistical Science
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| Abstract - #306635 |
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Title:
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Bayesian Analysis of Age-Adjusted Cancer Rates Using Joinpoint Regression Model
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Author(s):
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Ram Tiwari*+ and Pulak Ghosh
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Companies:
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National Institutes of Health and Georgia State University
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Address:
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6116 Executive Blvd., Bethesda, MD, 20892,
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Keywords:
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annual percentage change ; Bayes information criterion ; deviance information criterion ; conditional predictive ordinate ; Dirichlet process ; permutation test
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Abstract:
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Bayesian model selection procedures for the joinpoint regression model are developed under different assumptions on the prior distributions for the joinpoints, the regression parameters, and the random errors. The methods are applied to analyze the age-adjusted cancer incidence and mortality rates from the Surveillance, Epidemiology, and End Results (SEER) Program of the National Cancer Institute (NCI). The results are compared with the ones resulting from the NCI's permutation test based Joinpoint software.
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