JSM 2004 - Toronto

Abstract #301817

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Activity Number: 14
Type: Topic Contributed
Date/Time: Sunday, August 8, 2004 : 2:00 PM to 3:50 PM
Sponsor: Section on Bayesian Statistical Science
Abstract - #301817
Title: Bayesian Semiparametric Models for Colorectal Cancer Incidence
Author(s): Song Zhang*+ and Dongchu Sun and Chong He
Companies: University of Missouri, Columbia and University of Missouri, Columbia and University of Missouri, Columbia
Address: 510 High St. Apt. 0 326, Columbia, MO, 65201,
Keywords: Bayesian analysis ; semiparametric models ; spatial and temporal effects ; colorectal cancer ; cancer incidence rates
Abstract:

It has been known that colorectal cancer incidence rates had been increasing since the middle of 1985 and have been deceasing since then. We have proposed a Bayesian semiparametric model to capture simultaneously the demographic variables, such as age and sex, random geographic variables, such as regional differences, longitudinal variables, such as temporal trends in mortality, and spatial variables, such as the correlation between neighboring regions. The relationship of three different subsites of colorectal cancer is also explored.

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