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dc.contributor.authorNg, SK
dc.date.accessioned2017-06-12T02:22:43Z
dc.date.available2017-06-12T02:22:43Z
dc.date.issued2015
dc.identifier.issn0277-6715
dc.identifier.doi10.1002/sim.6542
dc.identifier.urihttp://hdl.handle.net/10072/101401
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherJohn Wiley & Sons
dc.relation.ispartofpagefrom3444
dc.relation.ispartofpageto3460
dc.relation.ispartofissue26
dc.relation.ispartofjournalStatistics in Medicine
dc.relation.ispartofvolume34
dc.subject.fieldofresearchStatistics
dc.subject.fieldofresearchStatistics not elsewhere classified
dc.subject.fieldofresearchcode4905
dc.subject.fieldofresearchcode490599
dc.titleA two-way clustering framework to identify disparities in multimorbidity patterns of mental and physical health conditions among Australians
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
dc.description.versionSubmitted Manuscript (SM)
gro.facultyGriffith Health, School of Medicine
gro.rights.copyright© 2015 John Wiley & Sons, Ltd. This is the peer reviewed version of the following article: A two-way clustering framework to identify disparities in multimorbidity patterns of mental and physical health conditions among Australians, Statistics in Medicine, 34(26), 3444–3460, 2015 which has been published in final form at http://doi.org/10.1002/sim.6542. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving (http://olabout.wiley.com/WileyCDA/Section/id-828039.html)
gro.hasfulltextFull Text
gro.griffith.authorNg, Shu Kay Angus


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