Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/3182
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dc.contributor.authorMOLENBERGHS, Geert-
dc.contributor.authorMICHIELS, Bart-
dc.contributor.authorKenward, Michael G.-
dc.contributor.authorDiggle, Peter J.-
dc.date.accessioned2007-11-27T08:36:28Z-
dc.date.available2007-11-27T08:36:28Z-
dc.date.issued1998-
dc.identifier.citationSTATISTICA NEERLANDICA, 52(2). p. 153-161-
dc.identifier.issn0039-0402-
dc.identifier.urihttp://hdl.handle.net/1942/3182-
dc.description.abstractIt is shown that the classical taxonomy of missing data models, namely missing completely at random, missing at random and informative missingness, which has been developed almost exclusively within a selection modelling framework, can also be applied to pattern-mixture models. In particular, intuitively appealing identifying restrictions are proposed for a pattern-mixture MAR mechanism.-
dc.language.isoen-
dc.publisherBLACKWELL PUBL LTD-
dc.rights(C) VVS, 1998, Published by Blackwell Publishers-
dc.subject.othermissing at random; selection model-
dc.subject.othermissing at random; selection model-
dc.titleMonotone missing data and pattern-mixture models-
dc.typeJournal Contribution-
dc.identifier.epage161-
dc.identifier.issue2-
dc.identifier.spage153-
dc.identifier.volume52-
local.format.pages9-
dc.description.notesLimburgs Univ Ctr, B-3590 Diepenbeek, Belgium. Univ Kent, Inst Math & Stat, Canterbury CT2 7NF, Kent, England. Univ Lancaster, Dept Math & Stat, Lancaster LA1 4YF, England.-
local.type.refereedRefereed-
local.type.specifiedArticle-
dc.bibliographicCitation.oldjcatA1-
dc.identifier.doi10.1111/1467-9574.00075-
dc.identifier.isi000075204600003-
item.contributorMOLENBERGHS, Geert-
item.contributorMICHIELS, Bart-
item.contributorKenward, Michael G.-
item.contributorDiggle, Peter J.-
item.validationecoom 1999-
item.fulltextWith Fulltext-
item.accessRightsRestricted Access-
item.fullcitationMOLENBERGHS, Geert; MICHIELS, Bart; Kenward, Michael G. & Diggle, Peter J. (1998) Monotone missing data and pattern-mixture models. In: STATISTICA NEERLANDICA, 52(2). p. 153-161.-
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