Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/2042
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dc.contributor.authorSHKEDY, Ziv-
dc.contributor.authorVANDERSMISSEN, Veerle-
dc.contributor.authorMOLENBERGHS, Geert-
dc.contributor.authorVan Craenendonck, H-
dc.contributor.authorAerts, Nancy-
dc.contributor.authorSteckler, T-
dc.contributor.authorBIJNENS, Luc-
dc.date.accessioned2007-11-11T09:17:58Z-
dc.date.available2007-11-11T09:17:58Z-
dc.date.issued2005-
dc.identifier.citationBIOMETRICAL JOURNAL, 47(3). p. 286-298-
dc.identifier.issn0323-3847-
dc.identifier.urihttp://hdl.handle.net/1942/2042-
dc.description.abstractThe differential reinforcement of low-rate 72 seconds schedule (DRL-72) is a standard behavioral test procedure for screening potential antidepressant compounds. The protocol for the DRL-72 experiment, proposed by Evenden et al. (1993), consists of using a crossover design for the experiment and one-way ANOVA for the statistical analysis. In this paper we discuss the choice of several crossover designs for the DRL-72 experiment and propose to estimate the treatment effects using either generalized linear mixed models (GLMM) or generalized estimating equation (GEE) models for clustered binary data.-
dc.description.sponsorshipWe thank the associate editor and the two referees for their valuable remarks and com-ments, which improved presentation of the paper substantially. The first three authors gratefully acknowledge thefinancial support from the IAP research network nr. P5/24 of the Belgian Government (Belgian Science Policy)-
dc.languageEnglish-
dc.language.isoen-
dc.publisherAKADEMIE VERLAG GMBH-
dc.rights(C) 2005 WILEY-VCH Verlag & Co. KgaA, Weinheim-
dc.subject.othercorrelated binary data; crossover design; generalized linear mixed models; generalized estimating equation; odds ratio-
dc.subject.othercorrelated binary data; crossover design; generalized linear mixed models; generalized estimating equation; odds ratio-
dc.titleBehavioral testing of antidepressant compounds: An analysis of crossover design for correlated binary data-
dc.typeJournal Contribution-
dc.identifier.epage298-
dc.identifier.issue3-
dc.identifier.spage286-
dc.identifier.volume47-
local.format.pages13-
local.bibliographicCitation.jcatA1-
dc.description.notesLimburgs Univ Ctr, Ctr Stat, B-3590 Diepenbeek, Belgium. J&JPRD, Non Clin Biostat, Beerse, Belgium.Shkedy, Z, Limburgs Univ Ctr, Ctr Stat, Univ Campus,Bldg D, B-3590 Diepenbeek, Belgium.ziv.shkedy@luc.ac.be-
local.type.refereedRefereed-
local.type.specifiedArticle-
dc.bibliographicCitation.oldjcatA1-
dc.identifier.doi10.1002/bimj.200410130-
dc.identifier.isi000230361800008-
item.accessRightsRestricted Access-
item.fulltextWith Fulltext-
item.contributorSHKEDY, Ziv-
item.contributorVANDERSMISSEN, Veerle-
item.contributorMOLENBERGHS, Geert-
item.contributorVan Craenendonck, H-
item.contributorAerts, Nancy-
item.contributorSteckler, T-
item.contributorBIJNENS, Luc-
item.fullcitationSHKEDY, Ziv; VANDERSMISSEN, Veerle; MOLENBERGHS, Geert; Van Craenendonck, H; Aerts, Nancy; Steckler, T & BIJNENS, Luc (2005) Behavioral testing of antidepressant compounds: An analysis of crossover design for correlated binary data. In: BIOMETRICAL JOURNAL, 47(3). p. 286-298.-
item.validationecoom 2006-
crisitem.journal.issn0323-3847-
crisitem.journal.eissn1521-4036-
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