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Abstract Details

Activity Number: 554
Type: Topic Contributed
Date/Time: Wednesday, August 1, 2012 : 2:00 PM to 3:50 PM
Sponsor: Biopharmaceutical Section
Abstract - #306325
Title: Applying Parametric and Nonparametric Models to Assess Treatment Effect and Drug Synergy for Combination Therapy
Author(s): Maiying Kong*+ and Jack Lee, Ph.D.
Companies: University of Louisville and MD Anderson Cancer Center
Address: Department of Bioinformatics and, Louisville, KY, 40292, United States
Keywords: Emax model ; isotonic regression ; dose-response ; drug interaction

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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