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Activity Number:
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468
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Type:
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Contributed
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Date/Time:
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Wednesday, August 5, 2009 : 10:30 AM to 12:20 PM
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Sponsor:
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SSC
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| Abstract - #305485 |
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Title:
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Accelerated Hazards Mixture Cure Model
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Author(s):
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Yingwei Peng*+ and Jiajia Zhang
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Companies:
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Queen's University and University of South Carolina
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Address:
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Department of Community Health and Epidemiology, Kingston, ON, K7L 3N6, Canada
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Keywords:
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EM algorithm ; Censored data ; Semiparametric ; Bootstrap
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Abstract:
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We propose a new cure model for survival data with a surviving or cure fraction. The new model allows covariate effects on the failure time distribution of uncured patients to be negligible at time zero and to increase as time goes by. Such a model is particularly useful in some cancer treatments when the treat effect increases gradually from zero, and the existing models usually cannot handle this situation properly. We develop a semiparametric estimation method to obtain the maximum likelihood estimates of the parameters in the model. We compare it with existing models and methods via a simulation study, and apply the model to a breast cancer data set.
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