Application of Dynamic Poisson Models to Japanese Cancer Mortality Data

Authors

Shuichi Midorikawa, Tokyo University of ScienceFollow
Etsuo Miyaoka, Tokyo University of ScienceFollow
Bruce Smith, Dalhousie UniversityFollow

Abstract

A dynamic Poisson model is used with a Bayesian approach to modeling to predict cancer mortality. The complexity of the posterior distribution prohibits direct evaluation of the posterior, and so parameters are estimated by using a Markov Chain Monte Carlo method. The model is applied to analyze lung and stomach cancer data which have been collected in Japan.

DOI

10.22237/jmasm/1225513260