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Activity Number: 255
Type: Contributed
Date/Time: Monday, August 5, 2013 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #309000
Title: A New Marginal Approach to Model Clustered Survival Data with a Cure Fraction
Author(s): Yingwei Peng*+ and Yi Niu
Companies: Queen's University and Queen's University
Keywords: correlation structure ; estimating equations ; EM algorithm ; bootstrap method ; proportional hazards ; tonsil cancer data
Abstract:

We consider a marginal model for regression analysis of clustered failure time data with a cure fraction. Generalized estimating equations are employed in the EM algorithm to estimate regression parameters in the proportional hazards mixture cure model. The dependence among the cure statuses and among the survival times of uncured patients within clusters are modeled by working correlation matrices in the estimating equations. A simulation study is conducted to demonstrate efficiency gain of the proposed method over an existing marginal method. Finally, we apply the model and the proposed method to a set of data from a multi-institutional study of tonsil cancer patients treated with a radiation therapy.


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