This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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225
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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 : 2:00 PM to 3:50 PM
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Sponsor:
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Biopharmaceutical Section
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Abstract - #306374 |
Title:
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Optimal Serial Dilutions Designs for Drug Discovery Experiments
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Author(s):
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Alexander Donev*+ and Randy Tobias
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Companies:
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University of Manchester and SAS Institute
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Address:
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Oxford Road, Manchester, M13 9PL, UK
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Keywords:
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population D-optimality ;
high-throughput screening ;
minimum significant difference
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Abstract:
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Dose-response studies are an essential part of the drug discovery process. They are typically carried out on a large number of chemical compounds using serial dilution experimental designs. We propose a method of selecting the key parameters of these designs (maximum dose, dilution factor, number of concentrations and number of replicated observations for each concentration) depending on the stage of the drug discovery process where the study takes place. This is achieved by employing and extending results from optimal design theory. Population D- and Ds-optimality are defined and used to evaluate the precision of estimating the potency of the tested compounds. The proposed methodology is easy to use and creates opportunities to reduce the cost of the experiments without compromising the quality of the data obtained in them.
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