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Bayesian Nonparametric and Covariate Analysis of Failure Time Data

  • Purushottam W. Laud
  • Paul Damien
  • Adrian F. M. Smith
Part of the Lecture Notes in Statistics book series (LNS, volume 133)

Abstract

A Bayesian analysis of the semi-parametric regression model of Cox (1972) is given. The cumulative hazard function is modelled as a beta process. The posterior distribution of the regression parameters and the survival function are obtained using a combination of recent Monte Carlo methods. An illustrative analysis within the context of survival time data is given.

Keywords

Posterior Distribution Hazard Rate Markov Chain Monte Carlo Method Frailty Model Cumulative Hazard 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 1998

Authors and Affiliations

  • Purushottam W. Laud
  • Paul Damien
  • Adrian F. M. Smith

There are no affiliations available

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