Bayesian analysis of paired survival data using a bivariate exponential distribution.

Published

Journal Article

We consider a Bayesian analysis method of paired survival data using a bivariate exponential model proposed by Moran (1967, Biometrika 54:385-394). Important features of Moran's model include that the marginal distributions are exponential and the range of the correlation coefficient is between 0 and 1. These contrast with the popular exponential model with gamma frailty. Despite these nice properties, statistical analysis with Moran's model has been hampered by lack of a closed form likelihood function. In this paper, we introduce a latent variable to circumvent the difficulty in the Bayesian computation. We also consider a model checking procedure using the predictive Bayesian P-value.

Full Text

Duke Authors

Cited Authors

  • Lee, J; Kim, J; Jung, S-H

Published Date

  • March 2007

Published In

Volume / Issue

  • 13 / 1

Start / End Page

  • 119 - 137

PubMed ID

  • 17031496

Pubmed Central ID

  • 17031496

International Standard Serial Number (ISSN)

  • 1380-7870

Digital Object Identifier (DOI)

  • 10.1007/s10985-006-9022-0

Language

  • eng

Conference Location

  • United States