Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/471
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dc.contributor.authorJANSEN, Ivy-
dc.contributor.authorMOLENBERGHS, Geert-
dc.date.accessioned2004-11-04T12:06:08Z-
dc.date.available2004-11-04T12:06:08Z-
dc.date.issued2003-
dc.identifier.citationVerbeke, Geert & Molenberghs, Geert & Aerts, Marc & Fieuws, Steffen (Ed.) Proceedings of the 18th International Workshop on Statistical Modelling. p. 207-210.-
dc.identifier.urihttp://hdl.handle.net/1942/471-
dc.description.abstractA lot of research has been devoted to modelling strategies for longitudinal data with missingness, especially within the MNAR context. In this paper, an overview will be given of several existing methods, and the unexplored domain of non-monotone missingness with multivariate ordinal responses will be broached. In this context, the Multivariate Dale model (Molenberghs and Lesa®re 1999) will be used-
dc.format.extent56677 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen-
dc.subjectLongitudinal data-
dc.subjectMissing data-
dc.titleModelling strategies for longitudinal data with missingness-
dc.typeProceedings Paper-
local.bibliographicCitation.authorsVerbeke, Geert-
local.bibliographicCitation.authorsMolenberghs, G.-
local.bibliographicCitation.authorsAerts, M.-
local.bibliographicCitation.authorsFieuws, S.-
local.bibliographicCitation.conferencename18th International Workshop on Statistical Modelling-
local.bibliographicCitation.conferenceplaceLeuven, Belgium-
dc.identifier.epage210-
dc.identifier.spage207-
local.bibliographicCitation.jcatC2-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
dc.bibliographicCitation.oldjcatC2-
dc.identifier.urlhttp://www.statmod.org/files/proceedings/iwsm2003_proceedings.pdf-
local.bibliographicCitation.btitleProceedings of the 18th International Workshop on Statistical Modelling-
item.fulltextWith Fulltext-
item.contributorJANSEN, Ivy-
item.contributorMOLENBERGHS, Geert-
item.fullcitationJANSEN, Ivy & MOLENBERGHS, Geert (2003) Modelling strategies for longitudinal data with missingness. In: Verbeke, Geert & Molenberghs, Geert & Aerts, Marc & Fieuws, Steffen (Ed.) Proceedings of the 18th International Workshop on Statistical Modelling. p. 207-210..-
item.accessRightsOpen Access-
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