Journal of the Korean Data and Information Science Society

The Korean Data and Information Science Society (한국데이터정보과학회)
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Hierarchical Bayes Analysis of Longitudinal Poisson Count Data

  • Kim, Dal-Ho (Department of Statistics, Kyungpook National University) ;
  • Shin, Im-Hee (Division of Medical Statistics, Catholic University of Taegu) ;
  • Choi, In-Sun (Department of Statistics, Kyungpook National University)
  • Published : 2002.10.31
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Abstract

In this paper, we consider hierarchical Bayes generalized linear models for the analysis of longitudinal count data. Specifically we introduce the hierarchical Bayes random effects models. We discuss implementation of the Bayes procedures via Markov chain Monte Carlo (MCMC) integration techniques. The hierarchical Baye method is illustrated with a real dataset and is compared with other statistical methods.

Keywords

References

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