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Multivariate Frailty Models for Exchangeable Survival Data With Covariates

Summary: [This abstract is based on the authors' abstract.]A multivariate lognormal frailty model is investigated for correlated exchangeable failure data where the marginal lifetimes have conditional Weibull distributions. Bayesian statistical methods are used to fit this model to experimental data with varying cluster sizes. The Bayesian inferential approach appears naturally from the hierarchical of the frailty model, whereas implementation of the maximum likelihood approach encounters problems. Three dataset are used to illustrate the methodology.

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  • Topics: Data Quality, Reliability
  • Keywords: Bayesian methods,Correlated data,Lognormal distribution,Markov chains,Monte Carlo methods,Multivariate analysis,Reliability,Weibull distribution
  • Author: Stefanescu, Catalina; Turnbull, Bruce W.
  • Journal: Technometrics