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 - #308677 |
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Title:
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Inference for Treatment Efficacy on Survival Probability in Randomized Clinical Trials with Noncompliance
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Author(s):
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Ying Zhou*+
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Companies:
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University of California, Los Angeles
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Address:
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3780 Keystone Ave, Apt 412, Los Angeles, CA, 90034,
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Keywords:
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Causual inference ;
Semiparametric estimation ;
Right censoring ;
All-or-nothing compliance ;
Asymptotic normality ;
Suvival analysis
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Abstract:
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We propose a semiparametric inference procedure for assessing treatment efficacy in terms of the difference in survival probabilities in randomized clinical trials with all-or-nothing compliance. An iterative procedure is derived for calculating the semiparametric maximum likelihood estimators. Large sample properties and inference are developed. We evaluate our method by simulation studies, and illustrate it using the Multicenter Selective Lymphadenectomy Trial I, a randomized clinical trial for melanoma.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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