Comparison of methods for statistical analysis of combination studies.

@article{Donev2010ComparisonOM,
  title={Comparison of methods for statistical analysis of combination studies.},
  author={Alexander N. Donev},
  journal={Frontiers in bioscience},
  year={2010},
  volume={2},
  pages={
          250-7
        }
}
  • A. Donev
  • Published 2010
  • Mathematics
  • Frontiers in bioscience
This paper is concerned with the statistical analysis of data obtained in studies of the joint action of drugs. The three methods that are compared are illustrated on real data (1), using the statistical package SAS. It is argued that while the results obtained using these methods do not differ substantially, the method allowing for estimating simultaneously all required parameters is to be preferred. It allows for a statistical test for the significance of the joint action of the drug… 
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Experimental designs for drug combination studies

References

SHOWING 1-10 OF 19 REFERENCES
Design and analysis of drug combination experiments.
TLDR
A novel, simple and easy to implement parametric modeling approach to assess synergy is presented and an extended three parameter log-logistic model is used to analyse the data and calculate confidence intervals of the interaction indices.
Drug Synergism and Dose-Effect Data Analysis
Combinations of Chemicals Dose-Response Analysis Linear Regression: A Further Discussion Calculations for Combination Drug Analysis. The Composite Additive Curve Quantal Dose-Response Data: Probit…
Theoretical Basis, Experimental Design, and Computerized Simulation of Synergism and Antagonism in Drug Combination Studies
  • T. Chou
  • Biology
    Pharmacological Reviews
  • 2006
TLDR
The median-effect principle and its mass-action law based computer software are gaining increased applications in biomedical sciences, from how to effectively evaluate a single compound or entity to how to beneficially use multiple drugs or modalities in combination therapies.
Nonlinear Regression Analysis and Its Applications
TLDR
This book offers a balanced presentation of the theoretical, practical, and computational aspects of nonlinear regression and provides background material on linear regression, including the geometrical development for linear and nonlinear least squares.
Super in vitro synergy between inhibitors of dihydrofolate reductase and inhibitors of other folate-requiring enzymes: the critical role of polyglutamylation.
TLDR
The ideal requirement for the folic acid-enhanced synergy is that a nonpolyglutamylatable DHFR inhibitor be combined with a polyglut amylatable inhibitor of another folate-requiring enzyme.
Generalized, Linear, and Mixed Models
Preface. Preface to the First Edition. 1. Introduction. 1.1 Models. 1.2 Factors, Levels, Cells, Effects And Data. 1.3 Fixed Effects Models. 1.4 Random Effects Models. 1.5 Linear Mixed Models (Lmms).…
The problem of synergism and antagonism of combined drugs.
  • S. Loewe
  • Medicine
    Arzneimittel-Forschung
  • 1953
The Combinations of Haemoglobin with Oxygen and with Carbon Monoxide. II.
and M
  • L. Menten: Die Kinetik der Invertinwirkung, Biochemische Zeitschrift, 49 333-369,
  • 1913
Watts: Nonlinear Regression Analysis and Its Application
  • Watts: Nonlinear Regression Analysis and Its Application
  • 2007
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