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CATEGORIES:Isaac Newton Institute Seminar Series
SUMMARY:The usefulness of Bayesian optimal designs for dis
crete choice experiments - Kessels\, R (Universite
it Antwerpen)
DTSTART;TZID=Europe/London:20110818T094500
DTEND;TZID=Europe/London:20110818T103000
UID:TALK32406AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/32406
DESCRIPTION:Recently\, the use of Bayesian optimal designs for
discrete choice experiments has gained a lot of a
ttention\, stimulating the development of Bayesian
choice design algorithms. Characteristic for the
Bayesian design strategy is that it incorporates t
he available information about people's preference
s for various product attributes in the choice des
ign. In a first part of this talk\, we show how th
is information can be best incorporated in the des
ign using an experiment from health care in which
preferences are measured for changes in eleven hea
lth system performance domains.\n\nThe Bayesian de
sign methodology is in contrast with the linear de
sign methodology which is also used in discrete ch
oice design\, and which depends for any claims of
optimality on the unrealistic assumption that peop
le have no preference for any of the attribute lev
els. Nevertheless\, linear design principles have
often been used to construct discrete choice exper
iments. In a second part\, we show using a simulat
ion study that the resulting utility-neutral optim
al designs are not competitive with Bayesian optim
al designs for estimation purposes.\n\n
LOCATION:Seminar Room 1\, Newton Institute
CONTACT:Mustapha Amrani
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