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Abstract Details
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Activity Number:
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506
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Type:
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Contributed
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Date/Time:
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Wednesday, August 3, 2011 : 10:30 AM to 12:20 PM
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Sponsor:
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Biometrics Section
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| Abstract - #301557 |
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Title:
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Fractional Polynomials in Analyzing Interval-Censored Time-to-Event Data
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Author(s):
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Din Chen*+ and Lili Yu and Yuhlong Lio
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Companies:
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University of Rochester and Georgia Southern University and University of South Dakota
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Address:
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P.O. Box SON, Rochester, NY, 14642, USA
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Keywords:
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Time-to-event data ;
Interval-censoring; ;
hazard function ;
Cox proportional hazards regression ;
fractional polynomials
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Abstract:
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Interval censored time-to-event data along with complete-time and right/left-censored time-to-event are generated in most oncology clinical trials especially from cancer scan within some specific time intervals. The extension of the well-known Cox regression is discussed in this talk with fractional polynomials as the approximation to the baseline hazard function. A likelihood approach is used to select the best fractional polynomial as well as estimating the model parameters with associated statistical inference for treatment effect. The application of this method is demonstrated by a simulation study and to a real breast cancer clinical trial data
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