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Design and Analysis of Drug Combination Experiments
Author(s) -
Straetemans Roel,
O'Brien Timothy,
Wouters Luc,
Van Dun Jacky,
Janicot Michel,
Bijnens Luc,
Burzykowski Tomasz,
Aerts Marc
Publication year - 2005
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.200410124
Subject(s) - confidence interval , parametric statistics , statistics , code (set theory) , parametric model , computer science , simple (philosophy) , mathematics , algorithm , philosophy , set (abstract data type) , epistemology , programming language
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. (© 2005 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)