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Abstract Details

Activity Number: 53
Type: Invited
Date/Time: Sunday, July 29, 2012 : 4:00 PM to 5:50 PM
Sponsor: General Methodology
Abstract - #303819
Title: Application of Dependent Processes to Covariate-Adjusted Frailty Distributions in the Proportional Hazards Model
Author(s): Timothy Hanson*+ and Alejandro Jara and Lianming Wang
Companies: University of South Carolina and Pontificia Universidad Católica de Chile and University of South Carolina
Address: , , 29208,
Keywords: Frailty ; Tailfree process ; Bayesian nonparametric ; Survival analysis

Frailties are a convenient way to incorporate dependence among clustered survival times within the proportional hazards model. Frailties are typically assume to be exchangeable. We relax the exchangeability assumption by introducing a novel, dynamic median-zero frailty distribution that smoothly changes shape with cluster-level predictors. The frailty distribution is modeled as a linear dependent tailfree process (Jara and Hanson, 2011). The model is illustrated with simulated and real data.

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