Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/16790
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dc.contributor.authorRizopoulos, Dimitris-
dc.contributor.authorLESAFFRE, Emmanuel-
dc.date.accessioned2014-05-19T09:51:43Z-
dc.date.available2014-05-19T09:51:43Z-
dc.date.issued2014-
dc.identifier.citationSTATISTICAL METHODS IN MEDICAL RESEARCH, 23 (1), p. 3-10-
dc.identifier.issn0962-2802-
dc.identifier.urihttp://hdl.handle.net/1942/16790-
dc.description.abstractJoint modelling techniques have seen great advances in the recent years, with several types of joint models having been developed in literature that can handle a wide range of applications. This special issue of Statistical Methods in Medical Research presents some recent developments from this field. This introductory article contains some background material and highlights the contents of the contributions.-
dc.language.isoen-
dc.rights© The Author(s) 2014 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav-
dc.subject.otherdropout; longitudinal data; missing data; survival data; time-dependent covariates; random effects-
dc.titleIntroduction to the special issue on joint modelling techniques Introduction-
dc.typeJournal Contribution-
dc.identifier.epage10-
dc.identifier.issue1-
dc.identifier.spage3-
dc.identifier.volume23-
local.bibliographicCitation.jcatA2-
local.type.refereedRefereed-
local.type.specifiedEditorial Material-
dc.identifier.doi10.1177/0962280212445800-
dc.identifier.isi000330776100001-
item.fulltextWith Fulltext-
item.accessRightsRestricted Access-
item.fullcitationRizopoulos, Dimitris & LESAFFRE, Emmanuel (2014) Introduction to the special issue on joint modelling techniques Introduction. In: STATISTICAL METHODS IN MEDICAL RESEARCH, 23 (1), p. 3-10.-
item.contributorRizopoulos, Dimitris-
item.contributorLESAFFRE, Emmanuel-
crisitem.journal.issn0962-2802-
crisitem.journal.eissn1477-0334-
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