Using conjoint analysis and choice experiments to estimate QALY values: Issues to consider

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dc.contributor.author Flynn, Terry en_US
dc.contributor.editor en_US
dc.date.accessioned 2012-02-02T11:02:23Z
dc.date.available 2012-02-02T11:02:23Z
dc.date.issued 2010 en_US
dc.identifier 2009006332 en_US
dc.identifier.citation Flynn Terry 2010, 'Using conjoint analysis and choice experiments to estimate QALY values: Issues to consider', Adis International Ltd., vol. 28, no. 9, pp. 711-722. en_US
dc.identifier.issn 1170-7690 en_US
dc.identifier.other C1 en_US
dc.identifier.uri http://hdl.handle.net/10453/15727
dc.description.abstract There is increasing interest in using ranking tasks, discrete choice experiments and best-worst scaling studies to estimate QALY values for use in cost-utility analysis. The research frontier in choice modelling is moving rapidly, with a number of issues being explored across several disciplines. These issues include the estimation of discount factors, proper modelling of the variance scale factor and the estimation of individual-level utility functions. Some of these issues are particularly acute when discrete choice tasks are used to facilitate extra-welfarist analyses that rely on populationbased values. There are also potential problems in implementing such tasks that have received little interest in the non-health discrete choice literature because they are specific to the QALY framework. This article details these issues and offers recommendations on the conduct of 21st century QALY valuation exercises that propose to use any tasks that rely on discrete choices. en_US
dc.language en_US
dc.publisher Adis International Ltd. en_US
dc.relation.isbasedon http://dx.doi.org/10.2165/11535660-000000000-00000 en_US
dc.title Using conjoint analysis and choice experiments to estimate QALY values: Issues to consider en_US
dc.parent Pharmacoeconomics en_US
dc.journal.volume 28 en_US
dc.journal.number 9 en_US
dc.publocation New Zealand en_US
dc.identifier.startpage 711 en_US
dc.identifier.endpage 722 en_US
dc.cauo.name BUS.Faculty of Business en_US
dc.conference Verified OK en_US
dc.for 149900 en_US
dc.personcode 102815 en_US
dc.percentage 100 en_US
dc.classification.name Other Economics en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords EXPERIMENTAL design *VALUATION *MARKETING research *DEBT-to-equity ratio *UTILITY theory -- Mathematical models en_US
dc.staffid en_US
dc.staffid 102815 en_US


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