Artículos de revistas
Longitudinal Poisson modeling: an application for CD4 counting in HIV-infected patients
Fecha
2010Registro en:
JOURNAL OF APPLIED STATISTICS, LONDON, v.37, n.5, p.865-880, 2010
0266-4763
10.1080/02664760902914466
Autor
COELHO-BARROS, Emilio Augusto
ACHCAR, Jorge Alberto
MAZUCHELI, Josmar
Institución
Resumen
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.