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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386
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Type:
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Invited
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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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Statisticians in the Pharmaceutical Industry
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| Abstract - #306150 |
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Title:
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Optimal Designs for Dose-Finding Studies
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Author(s):
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Frank Bretz*+
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Companies:
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Novartis Pharma
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Address:
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Novartis Pharma AG Postfach, Basel, CH-4002, Switzerland
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Keywords:
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c-optimal design ;
minimum effective dose ;
dose estimation ;
dose response ;
robust design ;
model uncertainty
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Abstract:
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Understanding and properly characterizing the dose-response relationship is a fundamental step in the investigation of a new compound, be it a medicinal drug, a herbicide or fertilizer, or an environmental toxin. In this presentation we investigate the problem of deriving efficient designs for the estimation of target doses. We review recent results on optimal designs for estimating both the minimum effective dose and the dose achieving a certain percentage of the maximum treatment effect. These designs are compared with D-optimal designs for a given dose response model. Extensions to robust designs accounting for model uncertainty are also discussed. Numerical examples illustrate the presented methods.
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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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