This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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113
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Type:
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Topic Contributed
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Date/Time:
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Monday, August 2, 2010 : 8:30 AM to 10:20 AM
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Sponsor:
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Biopharmaceutical Section
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Abstract - #306868 |
Title:
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Validating Surrogate Endpoints from an Information Theory Perspective
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Author(s):
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Ariel Alonso Abad*+
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Companies:
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Interuniversity Institute for Biostatistics and Statistical Bioinformatics
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Address:
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Hasselt University Agoralaan 1, Gebouw D , Diepenbeek , 3590, Belgium
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Keywords:
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Meta-analysis ;
Surrogate Markers ;
Information Theory
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Abstract:
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The very mention of surrogate endpoints has always been very controversial due to a number of well-known unfortunate historical events. However, while many would like to avoid surrogate endpoints altogether, sometimes surrogates will be the only reasonable alternative, especially when the true endpoint is rare and/or distant in time. It is then best to use {\em validated\/} surrogates, but one clearly needs to reflect on the very meaning of validation. Like in most clinical decisions, statistical arguments will play a major role, but ought to be considered in conjunction with clinical and biological evidence. Recently, using information theory (IT), a new unified approach to the validation problem has been proposed. This approach implies a new definition of surrogacy that has an appealing and simple interpretation.
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