JSM 2004 Online Program

Abstract #301600

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Activity Number:	333
Type:	Topic Contributed
Date/Time:	Wednesday, August 11, 2004 : 10:30 AM to 12:20 PM
Sponsor:	Section on Bayesian Statistical Science
Abstract - #301600
Title:	A Statistical Model for Evaluating Synergy
Author(s):	Gary L. Rosner*+
Companies:	University of Texas M.D. Anderson Cancer Center
Address:	1515 Holcombe Blvd., Houston, TX, 77030,
Keywords:	Bayesian methods ; isobolograms ; synergy ; dose-response ; drug development
Abstract:	Quite often, drugs are combined with the hope that the joint effect is better for the patient than the effect that can be safely achieved by each drug alone. An important question in drug development concerns maximizing the effect of drug therapy and learning if two or more agents are synergistic with respect to their biological effect. One may also be concerned with determining if drugs are antagonistic, i.e., reducing biologic effect when combined. We discuss estimation of synergy and antagonism from a Bayesian perspective.

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