This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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184
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Type:
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Contributed
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Date/Time:
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Monday, August 2, 2010 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistics in Epidemiology
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Abstract - #308014 |
Title:
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Improved Survival Modeling Using a Reduced Piecewise Exponential Approach
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Author(s):
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Gang Han*+ and Michael J. Schell and Jongphil Kim
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Companies:
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Moffitt Cancer Center & Research Institute and Moffitt Cancer Center and Moffitt Cancer Center & Research Institute
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Address:
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12902 Magnolia Drive, Tampa, FL, 33612,
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Keywords:
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Survival analysis ;
exponential family ;
uniformly most powerful unbiased test ;
pool-adjacent-violators algorithm
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Abstract:
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In medical research, statistical models for survival data are typically non- or semi-parametric, e.g., the Kaplan-Meier curve. Parametric survival modeling, however, can reveal additional insights to clinicians. A major constraint of the existing parametric models is the lack of flexibility due to distribution assumptions. A flexible and parsimonious piecewise exponential model is presented. This model identifies shifts in the failure rate over time using a likelihood ratio test and a backward elimination procedure. It can be combined with presumed order restrictions on the failure rate. Such modeling provides an additional descriptive tool in understanding differences in patient response and can also serve as a validation tool for exponential failure. An application in a lung cancer study is presented.
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Authors who are presenting talks have a * after their name.
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