Abstract #301450

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JSM 2002 Abstract #301450
Activity Number: 389
Type: Contributed
Date/Time: Thursday, August 15, 2002 : 8:30 AM to 10:20 AM
Sponsor: Biometrics Section*
Abstract - #301450
Title: Statistical Model for Evaluating Additivity, Synergism, and Antagonism
Author(s): Xiaoli Hou*+
Affiliation(s): Merck Biometrics Research Laboratories
Address: P.O. Box 4 WP 37C-305, West Point, Pennsylvania, 19486-0004, usa
Keywords: Additivity ; Synergism ; Antagonism ; combined drug effect ; dose concentration.
Abstract:

A general approach for evaluating additivity, synergism, and antagonism of multiple drug effects is given. This approach has several advantages over the analysis methods typically used, which employ nonlinear regressions with a common parameter for the nonadditive effect. A graphical method is developed to demonstrate the combined effect of multiple drugs under the appropriate joint action, including diagnostics for additivity, synergism, and antagonism. An alternative nonadditive model with a smooth function of drug concentration is also given, which measures the degree of synergism or antagonism for different drug concentrations.

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Revised March 2002