Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/2042
Full metadata record
DC FieldValueLanguage
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.validationecoom 2006-
item.contributorSHKEDY, Ziv-
item.contributorVANDERSMISSEN, Veerle-
item.contributorMOLENBERGHS, Geert-
item.contributorVan Craenendonck, H-
item.contributorAerts, Nancy-
item.contributorSteckler, T-
item.contributorBIJNENS, Luc-
item.accessRightsRestricted Access-
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.fulltextWith Fulltext-
crisitem.journal.issn0323-3847-
crisitem.journal.eissn1521-4036-
Appears in Collections:Research publications
Files in This Item:
File Description SizeFormat 
Shkedy_et_al-2005-Biometrical_Journal.pdf
  Restricted Access		Published version139.42 kBAdobe PDFView/Open    Request a copy
Show simple item record

WEB OF SCIENCETM
Citations

1
checked on Apr 30, 2024

Page view(s)

72
checked on Aug 1, 2022

Download(s)

70
checked on Aug 1, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.