Statistical detection of synergy: New methods and a comparative study.

Thas, Olivier; Tourny, Annelies; Verbist, Bie; Hawinkel, Stijn; Nazarov, Maxim; Mutambanengwe, Kathy; Bijnens, Luc

Thas, Olivier; Tourny, Annelies; Verbist, Bie; Hawinkel, Stijn; Nazarov, Maxim; Mutambanengwe, Kathy; Bijnens, Luc.

Afiliação

Thas O; Data Science Institute, I-Biostat, Hasselt University, Hasselt, Belgium.
Tourny A; Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium.
Verbist B; National Institute for Applied Statistics Research Australia (NIASRA), University of Wollongong, Wollongong, New South Wales, Australia.
Hawinkel S; Department of Data Analysis and Mathematical Modelling, Ghent University, Ghent, Belgium.
Nazarov M; Quantitative Sciences, Janssen Pharmaceutical Companies of Johnson and Johnson, Beerse, Belgium.
Mutambanengwe K; Department of Data Analysis and Mathematical Modelling, Ghent University, Ghent, Belgium.
Bijnens L; Open Analytics, Antwerpen, Belgium.

Pharm Stat ; 21(2): 345-360, 2022 03.

Article em En | MEDLINE | ID: mdl-34608741

Assuntos

Descoberta de Drogas; Simulação por Computador; Combinação de Medicamentos; Descoberta de Drogas/métodos; Sinergismo Farmacológico; Humanos

Palavras-chave

simulation study; statistical tests; synergy

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Descoberta de Drogas Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: Pharm Stat Assunto da revista: FARMACOLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Bélgica

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