Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/9221
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dc.contributor.authorVANGENEUGDEN, Tony-
dc.contributor.authorMOLENBERGHS, Geert-
dc.contributor.authorLAENEN, Annouschka-
dc.contributor.authorALONSO ABAD, Ariel-
dc.contributor.authorGEYS, Helena-
dc.date.accessioned2009-02-02T13:53:32Z-
dc.date.issued2007-
dc.identifier.citationJOURNAL OF BIOPHARMACEUTICAL STATISTICS, 18(4). p. 691-712-
dc.identifier.issn1054-3406-
dc.identifier.urihttp://hdl.handle.net/1942/9221-
dc.description.abstractThis work investigates how generalizability, an extension of reliability, can be defined and estimated based on longitudinal data sequences resulting from, for example, clinical studies. Useful and intuitive approximate expressions are derived based on generalized linear mixed models. Data from four double-blind, randomized clinical trials into schizophrenia motivate the research and are used to estimate generalizability for a binary response parameter.-
dc.description.sponsorshipThe authors are thankful to J&J PRD for their kind permission to use their data. Financial support from the IAP research network #P6/03 of the Belgian Government (Belgian Science Policy) is gratefully acknowledged.-
dc.format.extent213217 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen-
dc.publisherTAYLOR & FRANCIS LTD-
dc.subject.otherbinary data; generalizability; intraclass correlation; random effects; reliability; variance component-
dc.titleGeneralizability in non-Gaussian longitudinal clinical trial data based on generalized linear mixed models-
dc.typeJournal Contribution-
dc.identifier.epage712-
dc.identifier.issue4-
dc.identifier.spage691-
dc.identifier.volume18-
local.bibliographicCitation.jcatA1-
local.type.refereedRefereed-
local.type.specifiedArticle-
dc.bibliographicCitation.oldjcatA1-
dc.identifier.doi10.1080/10543400802071386-
dc.identifier.isi000257438900010-
item.contributorVANGENEUGDEN, Tony-
item.contributorMOLENBERGHS, Geert-
item.contributorLAENEN, Annouschka-
item.contributorALONSO ABAD, Ariel-
item.contributorGEYS, Helena-
item.fulltextWith Fulltext-
item.validationecoom 2009-
item.fullcitationVANGENEUGDEN, Tony; MOLENBERGHS, Geert; LAENEN, Annouschka; ALONSO ABAD, Ariel & GEYS, Helena (2007) Generalizability in non-Gaussian longitudinal clinical trial data based on generalized linear mixed models. In: JOURNAL OF BIOPHARMACEUTICAL STATISTICS, 18(4). p. 691-712.-
item.accessRightsOpen Access-
crisitem.journal.issn1054-3406-
crisitem.journal.eissn1520-5711-
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