Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/2043
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dc.contributor.authorSTRAETEMANS, Roel-
dc.contributor.authorO'BRIEN, Timothy-
dc.contributor.authorWOUTERS, Luc-
dc.contributor.authorVan Dun, J-
dc.contributor.authorJanicot, M-
dc.contributor.authorBIJNENS, Luc-
dc.contributor.authorBURZYKOWSKI, Tomasz-
dc.contributor.authorAERTS, Marc-
dc.date.accessioned2007-11-11T09:19:53Z-
dc.date.available2007-11-11T09:19:53Z-
dc.date.issued2005-
dc.identifier.citationBIOMETRICAL JOURNAL, 47(3). p. 299-308-
dc.identifier.issn0323-3847-
dc.identifier.urihttp://hdl.handle.net/1942/2043-
dc.description.abstractIn 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.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherAKADEMIE VERLAG GMBH-
dc.subject.other96-well plates; antagonism; interaction index; drug combination; drug interaction; fixed-ratio design; Hill model; ray design; synergy; pharmacology; plate-location effects-
dc.titleDesign and analysis of drug combination experiments-
dc.typeJournal Contribution-
dc.identifier.epage308-
dc.identifier.issue3-
dc.identifier.spage299-
dc.identifier.volume47-
local.format.pages10-
local.bibliographicCitation.jcatA1-
dc.description.notesLimburgs Univ Ctr, Ctr Stat, B-3590 Diepenbeek, Belgium. Loyola Univ, Chicago, IL 60611 USA. Barrier Therapeut, Geel, Belgium. Johnson & Johnson Pharmaceut Res & Dev, Beerse, Belgium.Straetemans, R, Limburgs Univ Ctr, Ctr Stat, Univ Campus, B-3590 Diepenbeek, Belgium.Roel.Straetemans@luc.ac.be-
local.type.refereedRefereed-
local.type.specifiedArticle-
dc.bibliographicCitation.oldjcatA1-
dc.identifier.doi10.1002/bimj.200410124-
dc.identifier.isi000230361800009-
item.validationecoom 2006-
item.contributorSTRAETEMANS, Roel-
item.contributorO'BRIEN, Timothy-
item.contributorWOUTERS, Luc-
item.contributorVan Dun, J-
item.contributorJanicot, M-
item.contributorBIJNENS, Luc-
item.contributorBURZYKOWSKI, Tomasz-
item.contributorAERTS, Marc-
item.fullcitationSTRAETEMANS, Roel; O'BRIEN, Timothy; WOUTERS, Luc; Van Dun, J; Janicot, M; BIJNENS, Luc; BURZYKOWSKI, Tomasz & AERTS, Marc (2005) Design and analysis of drug combination experiments. In: BIOMETRICAL JOURNAL, 47(3). p. 299-308.-
item.fulltextNo Fulltext-
item.accessRightsClosed Access-
crisitem.journal.issn0323-3847-
crisitem.journal.eissn1521-4036-
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