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