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

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

Advanced search

Search - Use quotation marks to get a more specific result

Index

Field of knowledge

Start date

Betweenand

(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

Full text
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)

Short URL