Longitudinal Poisson modeling: an application for CD4 counting in HIV-infected patients
| Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
|---|---|
| Data(s) |
20/10/2012
20/10/2012
2010
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| Resumo |
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. FAPESP[2007/01379-2] Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) CNPq[300235/2005-5] Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) |
| Identificador |
JOURNAL OF APPLIED STATISTICS, LONDON, v.37, n.5, p.865-880, 2010 0266-4763 http://producao.usp.br/handle/BDPI/28764 10.1080/02664760902914466 |
| Idioma(s) |
eng |
| Publicador |
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD LONDON |
| Relação |
Journal of Applied Statistics |
| Direitos |
restrictedAccess Copyright ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD |
| Palavras-Chave | #longitudinal Poisson data #ofrailtyo models #hierarchical Bayesian analysis #Winbugs software #clinical data #LATENT VARIABLE MODELS #GAMMA FRAILTY MODEL #MIXED DISCRETE #TRAIT MODELS #OUTCOMES #INFERENCE #BINARY #Statistics & Probability |
| Tipo |
article original article publishedVersion |
