Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/11213
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dc.contributor.authorVANGENEUGDEN, Tony-
dc.contributor.authorMOLENBERGHS, Geert-
dc.contributor.authorLAENEN, Annouschka-
dc.contributor.authorGEYS, Helena-
dc.contributor.authorBEUNCKENS, Caroline-
dc.contributor.authorSOTTO, Cristina-
dc.date.accessioned2010-10-04T14:27:56Z-
dc.date.availableNO_RESTRICTION-
dc.date.available2010-10-04T14:27:56Z-
dc.date.issued2010-
dc.identifier.citationCOMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 39 (19). p. 3540-3557-
dc.identifier.issn0361-0926-
dc.identifier.urihttp://hdl.handle.net/1942/11213-
dc.description.abstractThis work aims at investigating marginal correlation within and between longitudinal data sequences. Useful and intuitive approximate expressions are derived based on generalized linear mixed models. Data from four double-blind randomized clinical trials are used to estimate the intra-class coefficient of reliability for a binary response. Additionally, the correlation between such a binary response and a continuous response is derived to evaluate the criterion validity of the binary response variable and the established continuous response variable.-
dc.description.sponsorshipFinancial support from the IAP research network #P6/03 of the Belgian Government (Belgian Science Policy) is gratefully acknowledged.-
dc.language.isoen-
dc.publisherTAYLOR & FRANCIS INC-
dc.rightsCopyright © Taylor & Francis Group, LLC-
dc.subject.otherBinary data; Intraclass correlation; Random effects; Reliability; Variances-
dc.subject.otherbinary data; intraclass correlation; random effects; reliability; variances-
dc.titleMarginal Correlation in Longitudinal Binary Data Based on Generalized Linear Mixed Models-
dc.typeJournal Contribution-
dc.identifier.epage3557-
dc.identifier.issue19-
dc.identifier.spage3540-
dc.identifier.volume39-
local.format.pages18-
local.bibliographicCitation.jcatA1-
dc.description.notes[Vangeneugden, Tony] Johnson & Johnson, Tibotec, Mechelen, Belgium. [Vangeneugden, Tony; Molenberghs, Geert; Laenen, Annouschka; Geys, Helena; Beunckens, Caroline; Sotto, Cristina] Hasselt Univ, Diepenbeek, Belgium. [Molenberghs, Geert] Katholieke Univ Leuven, Leuven, Belgium. [Geys, Helena] Johnson & Johnson, Janssen Pharmaceut, Beerse, Belgium. [Sotto, Cristina] Univ Philippines, Sch Stat, Quezon City 1101, Philippines. tvangene@tibbe.jnj.com-
local.type.refereedRefereed-
local.type.specifiedArticle-
dc.bibliographicCitation.oldjcatA1-
dc.identifier.doi10.1080/03610920903249568-
dc.identifier.isi000281581300011-
item.fulltextWith Fulltext-
item.contributorVANGENEUGDEN, Tony-
item.contributorMOLENBERGHS, Geert-
item.contributorLAENEN, Annouschka-
item.contributorGEYS, Helena-
item.contributorBEUNCKENS, Caroline-
item.contributorSOTTO, Cristina-
item.accessRightsOpen Access-
item.fullcitationVANGENEUGDEN, Tony; MOLENBERGHS, Geert; LAENEN, Annouschka; GEYS, Helena; BEUNCKENS, Caroline & SOTTO, Cristina (2010) Marginal Correlation in Longitudinal Binary Data Based on Generalized Linear Mixed Models. In: COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 39 (19). p. 3540-3557.-
item.validationecoom 2011-
crisitem.journal.issn0361-0926-
crisitem.journal.eissn1532-415X-
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