Statistical detection of synergy: New methods and a comparative study

Author:

Thas Olivier123,Tourny Annelies4,Verbist Bie5,Hawinkel Stijn4ORCID,Nazarov Maxim6,Mutambanengwe Kathy6,Bijnens Luc15

Affiliation:

1. Data Science Institute, I‐Biostat Hasselt University Hasselt Belgium

2. Department of Applied Mathematics, Computer Science and Statistics Ghent University Ghent Belgium

3. National Institute for Applied Statistics Research Australia (NIASRA) University of Wollongong Wollongong New South Wales Australia

4. Department of Data Analysis and Mathematical Modelling Ghent University Ghent Belgium

5. Quantitative Sciences, Janssen Pharmaceutical Companies of Johnson and Johnson Beerse Belgium

6. Open Analytics Antwerpen Belgium

Publisher

Wiley

Subject

Pharmacology (medical),Pharmacology,Statistics and Probability

Reference18 articles.

1. Synergistic drug combinations tend to improve therapeutically relevant selectivity;Lehár J;Nat Biotechnol,2009

2. Analysis of drug combinations: current methodological landscape;Foucquier J;Pharmacol Res Perspect,2015

3. Consensus on concepts and terminology for combined action assessment: the Saariselkä agreement;Greco W;Arch Complex Environ Stud,1992

4. BIGL: biochemically intuitive generalized Loewe null model for prediction of the expected combined effect compatible with partial agonism and antagonism;Van der Borght K;Sci Rep,2017

5. The influence of oxygen inhalations on muscular work;Hill L;J Physiol,1910

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