Design and Analysis of Drug Combination Experiments

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...

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Veröffentlicht in:Biometrical journal 2005-06, Vol.47 (3), p.299-308
Hauptverfasser: Straetemans, Roel, O'Brien, Timothy, Wouters, Luc, Van Dun, Jacky, Janicot, Michel, Bijnens, Luc, Burzykowski, Tomasz, Aerts, Marc
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container_end_page 308
container_issue 3
container_start_page 299
container_title Biometrical journal
container_volume 47
creator Straetemans, Roel
O'Brien, Timothy
Wouters, Luc
Van Dun, Jacky
Janicot, Michel
Bijnens, Luc
Burzykowski, Tomasz
Aerts, Marc
description 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)
doi_str_mv 10.1002/bimj.200410124
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source MEDLINE; Wiley Online Library Journals Frontfile Complete
subjects 96-well plates
Algorithms
Animals
Antagonism
Biometry - methods
Clinical Trials as Topic - methods
Computer Simulation
Data Interpretation, Statistical
Dose-Response Relationship, Drug
Drug combination
Drug Combinations
Drug Evaluation, Preclinical - methods
Drug interaction
Fixed-ratio design
Hill model
Interaction index
Models, Biological
Models, Statistical
Pharmacology
Plate-location effects
Rats
Ray design
Synergy
Treatment Outcome
title Design and Analysis of Drug Combination Experiments
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