This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
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Activity Number:
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416
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Type:
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Contributed
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Date/Time:
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Tuesday, August 3, 2010 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Nonparametric Statistics
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| Abstract - #307044 |
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Title:
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Two-Sample Semiparametric Proportional (Reverse) Hazard Model
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Author(s):
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Zhong Guan*+ and Cheng Peng
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Companies:
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Indiana University South Bend and University of Southern Maine
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Address:
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Department of Mathematical Sciences, South Bend, IN, 46634,
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Keywords:
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Proportional (reverse) hazards model ;
Semiparametric model ;
Rank-based empirical likelihood ;
Distribution-free ;
Survival data
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Abstract:
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The proportional hazards and proportional reverse hazards model is shown to be equivalent in some sense. The rank-based semiparametric likelihood is constructed and used to find maximum likelihood estimate of the proportionality parameter and the underlying nonparametric distribution. The proposed estimates are based on rank statistics and thus distribution-free. Simulation methods for constructing confidence interval and for approximating p-values of the hypothesis tests are described.
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Authors who are presenting talks have a * after their name.
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