Resumo

SANTOS, CARLOS APARECIDO  e  ALBERTO ACHCAR, JORGE. A Bayesian Analysis in the Presence of Covariates for Multivariate Survival Data: An example of Application. Rev.Colomb.Estad. [online]. 2011, vol.34, n.1, pp.111-131. ISSN 0120-1751.

In this paper, we introduce a Bayesian analysis for survival multivariate data in the presence of a covariate vector and censored observations. Different "frailties" or latent variables are considered to capture the correlation among the survival times for the same individual. We assume Weibull or generalized Gamma distributions considering right censored lifetime data. We develop the Bayesian analysis using Markov Chain Monte Carlo (MCMC) methods.

Palavras-chave : Bayesian methods; Bivariate distribution; MCMC methods; Survivaldistribution; Weibull distribution.

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