This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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72
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Type:
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Contributed
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Date/Time:
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Sunday, August 1, 2010 : 4:00 PM to 5:50 PM
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Sponsor:
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Biopharmaceutical Section
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Abstract - #308442 |
Title:
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Inference on Treatment Effect Under a Density Ratio Model and Random Censoring
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Author(s):
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Shan Jiang*+ and Dongsheng Tu
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Companies:
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Queen's University and Queen's University
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Address:
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Department of Mathematics and Statistics, Kingston, ON, K7L 3N6, Canada
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Keywords:
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clinical trial ;
censored data ;
treatment effect ;
empirical likelihood ;
confidence interval ;
simulation
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Abstract:
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Let T_1 and T_2 be the survival times of patients randomized to respectively two treatment groups. The probability P(T_1< T_2) may be used as a measure on the effect of treatments in a randomized clinical trial. In this paper, with potentially censored data observed and assuming that the density functions of the survival times satisfy a semiparametric density ratio model, we propose two estimates of this probability based on respectively likelihood of uncensored survival times and a weighted empirical likelihood. Associated confidence intervals are also derived based on asymptotic normality of the estimates and bootstrap resampling. The assessment on the goodness-of-fit of density ratio model is also discussed. The proposed inference procedures are evaluated by Monte-Carlo simulations and applied to analysis of data from a clinical trial on early breast cancer.
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Authors who are presenting talks have a * after their name.
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