Abstract #301697

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JSM 2003 Abstract #301697
Activity Number: 249
Type: Contributed
Date/Time: Tuesday, August 5, 2003 : 10:30 AM to 12:20 PM
Sponsor: Biometrics Section
Abstract - #301697
Title: Frailty Models with Multivariate Survival Data
Author(s): Madhuja Mallick*+ and Nalini Ravishanker
Companies: University of Connecticut and University of Connecticut
Address: 1 Northwood Rd., Storrs, CT, 06268,
Keywords: MCMC ; Semiparametric baseline ; Stable distribution
Abstract:

Frailty models are useful for modeling dependence in multivariate survival data. Frailty is an individual random effect, and event times are assumed to be conditionally independent given the frailty.This talk describes inference for multivariate lifetime data using a conditional proportional hazards model with a flexible semiparametric baseline hazard function (e.g., the piecewise exponential hazard), while the frailty distribution belongs to the family of infinite variance stable distributions with positive support. Inference is carried out in the Bayesian framework, using Markov chain Monte Carlo techniques. Two illustrations are provided. The first is a biomedical example on times to occurrences of dependent events, while the second deals with a transportation safety study of the times between successive highway crashes.

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