Longitudinal Poisson modeling: an application for CD4 counting in HIV-infected patients

Emilio Augusto Coelho-Barros, Jorge Alberto Achcar and Josmar Mazucheli

Journal of Applied Statistics, 2010, vol. 37, issue 5, 865-880

Abstract: In this paper, we present different “frailty” models to analyze longitudinal data in the presence of covariates. These models incorporate the extra-Poisson variability and the possible correlation among the repeated counting data for each individual. Assuming a CD4 counting data set in HIV-infected patients, we develop a hierarchical Bayesian analysis considering the different proposed models and using Markov Chain Monte Carlo methods. We also discuss some Bayesian discrimination aspects for the choice of the best model.

Keywords: longitudinal Poisson data; “frailty” models; hierarchical Bayesian analysis; Winbugs software; clinical data (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (1)

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DOI: 10.1080/02664760902914466

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