Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/20851
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dc.contributor.authorEFENDI, Achmad-
dc.contributor.authorDrikvandi, R.-
dc.contributor.authorVERBEKE, Geert-
dc.contributor.authorMOLENBERGHS, Geert-
dc.date.accessioned2016-03-31T14:28:34Z-
dc.date.available2016-03-31T14:28:34Z-
dc.date.issued2015-
dc.identifier.citationSTATISTICAL METHODS IN MEDICAL RESEARCH, 26 (2), pag. 970-983-
dc.identifier.issn0962-2802-
dc.identifier.urihttp://hdl.handle.net/1942/20851-
dc.description.abstractIn this paper, we develop a simple diagnostic test for the random-effects distribution in mixed models. The test is based on the gradient function, a graphical tool proposed by Verbeke and Molenberghs to check the impact of assumptions about the random-effects distribution in mixed models on inferences. Inference is conducted through the bootstrap. The proposed test is easy to implement and applicable in a general class of mixed models. The operating characteristics of the test are evaluated in a simulation study, and the method is further illustrated using two real data analyses.-
dc.description.sponsorshipSupport from the IAP Research Network P7/06 of the Belgian State (Belgian Science Policy) is gratefully acknowledged.-
dc.language.isoen-
dc.rights© The Author(s) 2014 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav.-
dc.subject.otherbootstrap; goodness-of-fit; gradient function; mixed models; random effects-
dc.titleA goodness-of-fit test for the random-effects distribution in mixed models-
dc.typeJournal Contribution-
dc.identifier.epage983-
dc.identifier.issue2-
dc.identifier.spage970-
dc.identifier.volume26-
local.format.pages15-
local.bibliographicCitation.jcatA1-
dc.description.notesVerbeke, G (reprint author), Katholieke Univ Leuven, Interuniv Inst Biostat & Stat Bioinformat, Leuven, Belgium. geert.verbeke@kuleuven.be-
local.type.refereedRefereed-
local.type.specifiedArticle-
local.identifier.vabbc:vabb:394428-
dc.identifier.doi10.1177/0962280214564721-
dc.identifier.isi000399704500026-
item.accessRightsOpen Access-
item.fullcitationEFENDI, Achmad; Drikvandi, R.; VERBEKE, Geert & MOLENBERGHS, Geert (2015) A goodness-of-fit test for the random-effects distribution in mixed models. In: STATISTICAL METHODS IN MEDICAL RESEARCH, 26 (2), pag. 970-983.-
item.fulltextWith Fulltext-
item.validationecoom 2018-
item.validationvabb 2017-
item.contributorEFENDI, Achmad-
item.contributorDrikvandi, R.-
item.contributorVERBEKE, Geert-
item.contributorMOLENBERGHS, Geert-
crisitem.journal.issn0962-2802-
crisitem.journal.eissn1477-0334-
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