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

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

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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.

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ID Code: 68787
Item Type: Journal Article
Refereed: Yes
Additional URLs:
Subjects: Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > STATISTICS (010400)
Divisions: Current > Schools > School of Mathematical Sciences
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Deposited On: 19 May 2014 23:38
Last Modified: 17 Jun 2014 04:29

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