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Abstract Details
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Activity Number:
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178
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Type:
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Contributed
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Date/Time:
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Monday, August 1, 2011 : 10:30 AM to 12:20 PM
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Sponsor:
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Biopharmaceutical Section
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| Abstract - #303001 |
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Title:
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Information Divergence and the Evaluation of Surrogate Markers in Clinical Trials
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Author(s):
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Xiaopeng Miao*+ and Ashis Gangopadhyay
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Companies:
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Boston University and Boston University
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Address:
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Department of Biostatistics, , ,
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Keywords:
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surrogate marker ;
information divergence
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Abstract:
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Recently, there is a growing interest in identifying surrogate markers in clinical trials for the purpose of reducing the cost of drug development and better understanding of the disease. Although surrogate markers are usually proposed based on biological considerations, the evaluations of surrogate markers depend largely on statistical methods. In this paper, we review existing methods for evaluating surrogate markers in single-trial framework and discuss the strengths and limitations of these methods under various settings. We also propose new methods to assess surrogate markers that are based on various information divergence criteria between nested models, and provide comparisons of the performances of these proposed new measures with the existing methods.
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