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Abstract Details
Activity Number:
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554
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 1, 2012 : 2:00 PM to 3:50 PM
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Sponsor:
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Biopharmaceutical Section
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Abstract - #306325 |
Title:
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Applying Parametric and Nonparametric Models to Assess Treatment Effect and Drug Synergy for Combination Therapy
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Author(s):
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Maiying Kong*+ and Jack Lee, Ph.D.
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Companies:
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University of Louisville and MD Anderson Cancer Center
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Address:
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Department of Bioinformatics and, Louisville, KY, 40292, United States
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Keywords:
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Emax model ;
isotonic regression ;
dose-response ;
drug interaction
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Abstract:
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Studies of interactions among biologically active agents have become increasingly important in many branches of biomedical research. In our recent study, the cells are treated at different times before harvest. A 4-parameter Emax model seems more appropriate to describe the dose-response relationship for this type of experimental data. We propose using 4-parameter Emax model to describe dose-response relationship, then we develop procedures to assess the treatment effect and drug interactions. Meanwhile, we will apply isotonic regression model to estimate dose-response relationship and asses drug interactions. Case studies and simulations will be carried out to illustrate the pros and cons of the proposed models.
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