Designing Discrete Choice Experiments for Health Care

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dc.contributor.author Street, D
dc.contributor.author Burgess, LB
dc.contributor.author Viney, RC
dc.contributor.author Louviere, JJ
dc.contributor.editor Ryan, M
dc.contributor.editor Gerard, K
dc.contributor.editor Amaya-Amaya, M
dc.date.accessioned 2010-05-28T09:39:26Z
dc.date.issued 2008-01
dc.identifier.citation Using Discrete Choice Experiments to Value Health and Health Care, 2008, 1, pp. 47 - 72
dc.identifier.isbn 978-1-4020-4082-5
dc.identifier.other B1 en_US
dc.identifier.uri http://hdl.handle.net/10453/7970
dc.description.abstract As noted in Chapter 1, the application of discrete choice experiments (DCEs) in health economics has seen an increase over the last few years.While the number of studies using DCEs is growing, there has been relatively limited consideration of experimental design theory and methods. Details of the development of the designed experiment are rarely discussed. Many studies have used small fractional factorial designs (FFDs), generated with commercial design software packages, e.g. orthogonal main effects plans (OMEPs), sometimes manipulated in ad hoc ways (e.g. randomly pairing up scenarios or taking one scenario from the design and combining it with every other scenario). Such approaches can result in designs with unknown statistical design properties, in particular with unknown correlations between parameter estimates.
dc.publisher Springer
dc.relation.isbasedon 10.1007/978-1-4020-5753-3_2
dc.title Designing Discrete Choice Experiments for Health Care
dc.type Chapter
dc.parent Using Discrete Choice Experiments to Value Health and Health Care
dc.journal.number en_US
dc.publocation Dordrecht, The Netherlands en_US
dc.publocation Dordrecht, The Netherlands
dc.publocation Dordrecht, The Netherlands
dc.identifier.startpage 47 en_US
dc.identifier.endpage 72 en_US
dc.cauo.name SCI.Mathematical Sciences en_US
dc.conference Verified OK en_US
dc.for 1403 Econometrics
dc.for 1505 Marketing
dc.personcode 950324
dc.personcode 020117
dc.personcode 020132
dc.personcode 960812
dc.percentage 70 en_US
dc.classification.name Econometrics en_US
dc.classification.type FOR-08 en_US
dc.edition 1 en_US
dc.edition 1
dc.edition 1
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords NA
dc.description.keywords NA
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Business
pubs.organisational-group /University of Technology Sydney/Faculty of Science
pubs.organisational-group /University of Technology Sydney/Strength - Health Economics and Research Evaluation
pubs.organisational-group /University of Technology Sydney/Strength - Health Economics and Research Evaluation
pubs.organisational-group /University of Technology Sydney/Strength - Study of Choice
pubs.organisational-group /University of Technology Sydney/Strength - Study of Choice
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
utslib.copyright.date 2015-04-15 12:17:09.805752+10
pubs.consider-herdc true
pubs.consider-herdc true
utslib.collection.history School of Mathematical Sciences (ID: 340)
utslib.collection.history School of Mathematical Sciences (ID: 340)
utslib.collection.history Closed (ID: 3)
utslib.collection.history Closed (ID: 3)


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