Empirical Bayes Age–Period–Cohort Analysis of Retrospective Incidence Data

Yosihiko Ogata, Koichi Katsura, Niels Keiding, Claus Holst and Anders Green

Scandinavian Journal of Statistics, 2000, vol. 27, issue 3, 415-432

Abstract: We analyse the (age, time)‐specific incidence of diabetes based on retrospective data obtained from a prevalent cohort only including survivors to a particular date. From underlying point processes with intensities corresponding to the (age, time)‐specific incidence rates the observed point pattern is assumed to be generated by an independent thinning process with parameters (assumed known) depending on population density and survival probability to the sampling date. A Bayesian procedure is carried out for the optimal adjustment and comparison of isotropic and anisotropic smoothing priors for the intensity functions, as well as for the decomposition of the intensity on the (time, age) Lexis diagram into the three factors of age, period and cohort.

Date: 2000
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Persistent link: https://EconPapers.repec.org/RePEc:bla:scjsta:v:27:y:2000:i:3:p:415-432

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