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Article: A Bivariate bayes method for improving the estimates of mortality rates with a twofold conditional autoregressive model.
- Article from:
- Journal of the American Statistical Association
- Article date:
- December 1, 2001
- Author:
CopyrightCOPYRIGHT 2001 American Statistical Association. This material is published under license from the publisher through the Gale Group, Farmington Hills, Michigan. All inquiries regarding rights should be directed to the Gale Group. (Hide copyright information)
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KEY WORDS: Bivariate log-linear mixed model; Bridging parameter; Gibbs sampling; Index of spatial dependence; Mortality rate.
A bivariate Bayes method is proposed for estimating the mortality rates of a single disease for a given population, using additional information from a second disease. The information on the two diseases is assumed to be from the same population groups or areas. The joint frequencies of deaths for the two diseases for given populations are assumed to have a bivariate Poisson distribution with joint means proportional to the population sizes. The relationship between the mortality rates of the two different diseases if ...