Designing Discrete Choice Experiments for Health Care

Publisher:
Springer
Publication Type:
Chapter
Citation:
Using Discrete Choice Experiments to Value Health and Health Care, 2008, 1, pp. 47 - 72
Issue Date:
2008-01
Filename Description Size
Thumbnail2007001326OK_Street.pdf385.37 kB
Adobe PDF
Thumbnail2012000908OK_Ding.pdf193.5 kB
Adobe PDF
Full metadata record
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.
Please use this identifier to cite or link to this item: