Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/341
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dc.contributor.authorLapp, Krista-
dc.contributor.authorMOLENBERGHS, Geert-
dc.contributor.authorLESAFFRE, Emmanuel-
dc.date.accessioned2004-10-22T14:50:21Z-
dc.date.available2004-10-22T14:50:21Z-
dc.date.issued1998-
dc.identifier.citationComputational Statistics and Data Analysis, 28(4), p. 387-411-
dc.identifier.issn0167-9473-
dc.identifier.urihttp://hdl.handle.net/1942/341-
dc.description.abstractIn this paper we present marginal association and regression models as an alternative to classical association models for cross-classified ordinal data. It is shown that the methods easily incorporate various types of association structures, are able to include covariate information and generalize easily to multi-way classifications. The proposed approach is used to analyze data from a multicentre psychiatric study.-
dc.description.sponsorshipWe wish to thank the British Council and the Fonds voor Wetenschappelijk Onderzoek-Vlaanderen for their support. We thank also Solvay Duphar N.V. for the kind permission to use their data. Finally, we would like to thank the associate editor and anonymous referees for very constructive and helpful suggestions.-
dc.language.isoen-
dc.rights(C) 1998 Elsevier Science B.V. All rights reserved.-
dc.subjectClustered data-
dc.subjectCategorical data-
dc.subject.othercross-ratio model; marginal association model; marginal regression model; Plackett distribution; RC model; uniform association model-
dc.titleLocal and global cross ratios to model the association between ordinal variables-
dc.typeJournal Contribution-
dc.identifier.epage411-
dc.identifier.issue4-
dc.identifier.spage387-
dc.identifier.volume28-
local.type.refereedRefereed-
local.type.specifiedArticle-
dc.bibliographicCitation.oldjcat-
dc.identifier.doi10.1016/S0167-9473(98)90149-9-
dc.identifier.isi000076658600004-
item.accessRightsRestricted Access-
item.fullcitationLapp, Krista; MOLENBERGHS, Geert & LESAFFRE, Emmanuel (1998) Local and global cross ratios to model the association between ordinal variables. In: Computational Statistics and Data Analysis, 28(4), p. 387-411.-
item.contributorLapp, Krista-
item.contributorMOLENBERGHS, Geert-
item.contributorLESAFFRE, Emmanuel-
item.fulltextWith Fulltext-
crisitem.journal.issn0167-9473-
crisitem.journal.eissn1872-7352-
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