An additive model for spatio-temporal smoothing of cancer mortality rates

White, Gentry, Sun, Dongchu and Schootman, Mario (2007) An additive model for spatio-temporal smoothing of cancer mortality rates. Iranian Journal of Mathematical Sciences and Informatics, 2 1: 55-72.

Author White, Gentry
Sun, Dongchu
Schootman, Mario
Title An additive model for spatio-temporal smoothing of cancer mortality rates
Journal name Iranian Journal of Mathematical Sciences and Informatics
Publication date 2007-05
Sub-type Article
Volume number 2
Issue number 1
ISSN 1735-4463
2008-9473
Start page 55
End page 72
Total pages 18
Editor Ali Iranmanesh
Place of publication Tehran, Iran
Publisher Academic Center for Education, Culture and Research (A.C.E.C.R.), Tarbiat Modarres University
Language eng
Formatted abstract In this paper, a Bayesian hierarchical model is used to anaylze the female breast cancer mortality rates for the State of Missouri from 1969 through 2001. The logit transformations of the mortality rates are assumed to be linear over the time with additive spatial and age effects as intercepts and slopes. Objective priors of the hierarchical model are explored. The Bayesian estimates are quite robustness in terms change of the hyperparamaters. The spatial correlations are appeared in both intercepts and slopes.
Keyword Bayesian analysis
Spatial statistics
Cancer mortality
Poisson distributions
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article
Collection: Institute for Social Science Research - Publications
 
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Created: Fri, 11 Feb 2011, 14:12:42 EST by Dr Gentry White on behalf of ISSR - Research Groups