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SUMMARY:The usefulness of Bayesian optimal designs for discrete choice exp
 eriments - Kessels\, R (Universiteit Antwerpen)
DTSTART:20110818T084500Z
DTEND:20110818T093000Z
UID:TALK32406@talks.cam.ac.uk
CONTACT:Mustapha Amrani
DESCRIPTION:Recently\, the use of Bayesian optimal designs for discrete ch
 oice experiments has gained a lot of attention\, stimulating the developme
 nt of Bayesian choice design algorithms. Characteristic for the Bayesian d
 esign strategy is that it incorporates the available information about peo
 ple's preferences for various product attributes in the choice design. In 
 a first part of this talk\, we show how this information can be best incor
 porated in the design using an experiment from health care in which prefer
 ences are measured for changes in eleven health system performance domains
 .\n\nThe Bayesian design methodology is in contrast with the linear design
  methodology which is also used in discrete choice design\, and which depe
 nds for any claims of optimality on the unrealistic assumption that people
  have no preference for any of the attribute levels. Nevertheless\, linear
  design principles have often been used to construct discrete choice exper
 iments. In a second part\, we show using a simulation study that the resul
 ting utility-neutral optimal designs are not competitive with Bayesian opt
 imal designs for estimation purposes.\n\n
LOCATION:Seminar Room 1\, Newton Institute
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