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Design and analysis of drug combination experiments
Authors:Straetemans Roel  O'Brien Timothy  Wouters Luc  Van Dun Jacky  Janicot Michel  Bijnens Luc  Burzykowski Tomasz  Aerts Marc
Institution:Limburgs Universitair Centrum, Center for Statistics, Biostatistics, Universitaire Campus, B-3590 Diepenbeek, Belgium. Roel.Straetemans@luc.ac.be
Abstract:In this paper we present and discuss a novel, simple and easy to implement parametric modeling approach to assess synergy. An extended three parameter log-logistic model is used to analyse the data and calculate confidence intervals of the interaction indices. In addition the model corrects for the bias due to plate-location effects. The analysis is performed with PROC NLMIXED and SAS-code is provided. The approach is illustrated using data coming from an oncology study in which the inhibition effect of a combination of two compounds is studied using 96-well plates and a fixed-ratio design.
Keywords:96‐well plates  Antagonism  Interaction index  Drug combination  Drug interaction  Fixed‐ratio design  Hill model  Ray design  Synergy  Pharmacology  Plate‐location effects
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