Abstract #300617

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JSM 2003 Abstract #300617
Activity Number: 148
Type: Invited
Date/Time: Monday, August 4, 2003 : 2:00 PM to 3:50 PM
Sponsor: ENAR
Abstract - #300617
Title: Semiparametric Cure Models and Some Computational Issues
Author(s): Yingwei Peng*+
Companies: Memorial Uniersity of Newfoundland
Address: Mathematics & Statistics, St Johns, NF, A1C 5S7, Canada
Keywords: proportional hazards ; EM algorithm ; nonsusceptible ; mixture models
Abstract:

There is a great recent interest in semiparametric cure models for failure time data when long-term censored observations are present. I will review the cure models and some recent semiparametric estimation methods. Several computational issues related the semiparametric cure models will be addressed. They include baseline estimation in the cure models and a simple computational approach for the model. A simulation study of the proposed baseline estimation method is reported and the proposed computational approach for the cure model is illustrated with a real-life dataset.

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