Published

2011-01-01

ANÁLISIS BAYESIANO EN PRESENCIA DE COVARIABLES PARA DATOS DE SOBREVIVENCIA MULTIVARIADOS: UN EJEMPLO DE APLICACIÓN

A BAYESIAN ANALYSIS IN THE PRESENCE OF COVARIATES FOR MULTIVARIATE SURVIVAL DATA: AN EXAMPLE OF APPLICATION

Keywords:

distribución bivariada, distribución de sobrevivencia, distribución Weibull, métodos bayesianos, métodos MCMC (es)
Bayesian methods, Bivariate distribution, MCMC methods, Survival distribution, Weibull distribution (en)

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Authors

  • Carlos Aparecido Santos UEM - Universidade Estadual de Maringá
  • Jorge Alberto Achcar Universidade de São Paulo
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).
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 assumeWeibull 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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How to Cite

Santos, C. A., & Achcar, J. A. (2011). A BAYESIAN ANALYSIS IN THE PRESENCE OF COVARIATES FOR MULTIVARIATE SURVIVAL DATA: AN EXAMPLE OF APPLICATION. Revista Colombiana De Estadística, 34(1), 111-131. https://revistas.unal.edu.co/index.php/estad/article/view/29894

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