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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

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

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Author(s):
Coelho-Barros, Emilio Augusto [1] ; Achcar, Jorge Alberto [1] ; Mazucheli, Josmar [2]
Total Authors: 3
Affiliation:
[1] Univ Sao Paulo, DMS FMRP USP, BR-14049 Ribeirao Preto, SP - Brazil
[2] Univ Estadual Maringa, DEs UEM, Maringa, Parana - Brazil
Total Affiliations: 2
Document type: Journal article
Source: Journal of Applied Statistics; v. 37, n. 5, p. 865-880, 2010.
Web of Science Citations: 1
Abstract

In this paper, we present different ofrailtyo 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. (AU)