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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274
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Type:
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Invited
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Date/Time:
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Tuesday, August 3, 2010 : 8:30 AM to 10:20 AM
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Sponsor:
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General Methodology
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| Abstract - #306301 |
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Title:
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Disparity-Aided Robust and Efficient Inference for Adaptive Designs with Covariates
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Author(s):
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Anand Vidyashankar*+
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Companies:
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George Mason University
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Address:
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Engineering Building, Room 1715, Fairfax, VA, 22030, USA
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Keywords:
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Disparity theory ;
CARA ;
Stopping Rules ;
Influence Functions ;
Missing data ;
Interim Analysis
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Abstract:
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Recent years have seen a growing interest in the use of adaptive designs in clinical trials. Several competing designs have been proposed and their use has been evaluated in the literature. However, inference concerning primary and secondary end points of a clinical experiment are not well-addressed due to the presence of several confounding issues. In this talk, I will clarify some of these issues and describe a disparity based inferential procedure for data analysis. I will illustrate the methodology with simulations, real data analysis, and asymptotic theory.
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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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