A Bayesian Analysis in the Presence of Covariates for Multivariate Survival Data: An example of Application

• CARLOS APARECIDO SANTOS ^[1] ; JORGE ALBERTO ACHCAR ^[2]
  1. [1] Universidade Estadual de Maringá

     Universidade Estadual de Maringá

     Brasil

     
  2. [2] Universidade de São Paulo

     Universidade de São Paulo

     Brasil

     
• Localización: Revista Colombiana de Estadística, ISSN-e 2389-8976, ISSN 0120-1751, Vol. 34, Nº. 1, 2011, págs. 111-131
• Idioma: inglés
• Títulos paralelos:
  • Análisis bayesiano en presencia de covariables para datos de sobrevivencia multivariados: un ejemplo de aplicación
• Enlaces
  • Texto completo
• Resumen
  • español

    En este artículo, se introduce un análisis bayesiano para datos multivariados de sobrevivencia en presencia de un vector de covariables y observaciones censuradas. Diferentes "fragilidades" o variables latentes son consideradas para capturar la correlación entre los tiempos de sobrevivencia para un mismo individuo. Asumimos distribuciones Weibull o Gamma generalizadas considerando datos de tiempo de vida a derecha. Desarrollamos el análisis bayesiano usando métodos Markov Chain Monte Carlo (MCMC).

  • English

    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.

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