Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/11050
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dc.contributor.authorSERROYEN, Jan-
dc.contributor.authorMOLENBERGHS, Geert-
dc.contributor.authorAERTS, Marc-
dc.contributor.authorVloeberghs, Ellen-
dc.contributor.authorDe Deyn, Peter Paul-
dc.contributor.authorVERBEKE, Geert-
dc.date.accessioned2010-08-03T12:13:09Z-
dc.date.availableNO_RESTRICTION-
dc.date.available2010-08-03T12:13:09Z-
dc.date.issued2010-
dc.identifier.citationJOURNAL OF APPLIED STATISTICS, 37(5). p. 833-846-
dc.identifier.issn0266-4763-
dc.identifier.urihttp://hdl.handle.net/1942/11050-
dc.description.abstractIn the conventional linear mixed-effects model, four structures can be distinguished: fixed effects, random effects, measurement error and serial correlation. The latter captures the phenomenon that the correlation structure within a subject depends on the time lag between two measurements. While the general linear mixed model is rather flexible, the need has arisen to further increase flexibility. In addition to work done in the area, we propose the use of spline-based modeling of the serial correlation function, so as to allow for additional flexibility. This approach is applied to data from a pre-clinical experiment in dementia which studied the eating and drinking behavior in mice.-
dc.language.isoen-
dc.publisherROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD-
dc.rights© 2010 Taylor & Francis-
dc.subject.otherAlzheimer's disease; dementia; ordinary least squares; random effect-
dc.subject.otherAlzheimer's disease; dementia; ordinary least squares; random effect-
dc.titleFlexible estimation of serial correlation in nonlinear mixed models-
dc.typeJournal Contribution-
dc.identifier.epage846-
dc.identifier.issue5-
dc.identifier.spage833-
dc.identifier.volume37-
local.format.pages14-
local.bibliographicCitation.jcatA1-
dc.description.notes[Serroyen, Jan] Univ Maastricht, Dept Methodol & Stat, NL-6229 HA Maastricht, Netherlands. [Molenberghs, Geert; Aerts, Marc; Verbeke, Geert] Hasselt Univ, I BioStat, B-3590 Diepenbeek, Belgium. [Molenberghs, Geert; Verbeke, Geert] Katholieke Univ Leuven, I BioStat, B-3000 Louvain, Belgium. [Vloeberghs, Ellen; De Deyn, Peter Paul] Univ Antwerp, Lab Neurochem & Behav, B-2170 Antwerp, Belgium. geert.molenberghs@uhasselt.be-
local.type.refereedRefereed-
local.type.specifiedArticle-
dc.bibliographicCitation.oldjcatA1-
local.bibliographicCitation.artnrPII 921340431-
dc.identifier.doi10.1080/02664760902914425-
dc.identifier.isi000277584100010-
item.fulltextWith Fulltext-
item.accessRightsOpen Access-
item.contributorSERROYEN, Jan-
item.contributorVERBEKE, Geert-
item.contributorMOLENBERGHS, Geert-
item.contributorVloeberghs, Ellen-
item.contributorDe Deyn, Peter Paul-
item.contributorAERTS, Marc-
item.fullcitationSERROYEN, Jan; MOLENBERGHS, Geert; AERTS, Marc; Vloeberghs, Ellen; De Deyn, Peter Paul & VERBEKE, Geert (2010) Flexible estimation of serial correlation in nonlinear mixed models. In: JOURNAL OF APPLIED STATISTICS, 37(5). p. 833-846.-
item.validationecoom 2011-
crisitem.journal.issn0266-4763-
crisitem.journal.eissn1360-0532-
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