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Modelling health state preference data using fixed and random effects models

dc.contributor.authorFerreira, Lara Noronha
dc.contributor.authorFerreira, Pedro L.
dc.contributor.authorPereira, Luis Nobre
dc.date.accessioned2012-02-20T16:34:04Z
dc.date.available2012-02-20T16:34:04Z
dc.date.issued2007
dc.date.updated2012-02-18T17:24:37Z
dc.description.abstractThe use of preference-based measures of health in the measurement of Health Related Quality of Life has become widely used in health economics. Hence, the development of preference-based measures of health has been a major concern for researchers throughout the world. This study aims to model health state preference data using a new preference-based measure of health (the SF- 6D) and to suggest alternative models for predicting health state utilities using fixed and random effects models. It also seeks to investigate the problems found in the SF-6D and to suggest eventual changes to it.
dc.identifier.citation56th Session of the International Statistical Institute. Bulletin of the International Statistical Institute, Lisboa, 2007.por
dc.identifier.issn978-972-673-992-0
dc.identifier.otherAUT: LNF01492; LMP01693;
dc.identifier.urihttp://hdl.handle.net/10400.1/904
dc.language.isoengpor
dc.peerreviewedyespor
dc.subjectHealth state preferencespor
dc.subjectHealth state utilitiespor
dc.subjectSF-6Dpor
dc.titleModelling health state preference data using fixed and random effects modelspor
dc.typeconference object
dspace.entity.typePublication
person.familyNameFerreira
person.familyNameNobre Pereira
person.givenNameLara
person.givenNameLuis
person.identifier.ciencia-id761A-3037-8E22
person.identifier.ciencia-id6114-E329-972E
person.identifier.orcid0000-0003-2378-7750
person.identifier.orcid0000-0003-0917-7163
person.identifier.ridB-7575-2019
person.identifier.scopus-author-id24491766400
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublicatione93501ac-9707-4e92-bb2c-cc91bc09b428
relation.isAuthorOfPublication090a6604-b604-414b-a8d2-c4dc731b7b51
relation.isAuthorOfPublication.latestForDiscoverye93501ac-9707-4e92-bb2c-cc91bc09b428

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