Farrow, M. and Goldstein, M. (2006) 'Trade-off sensitive experimental design : a multicriterion, decision theoretic, Bayes linear approach.', Journal of statistical planning and inference., 136 (2). pp. 498-526.
Abstract
We show how mutually utility independent hierarchies, which weigh the various costs of an experiment against benefits expressed through a mixed Bayes linear utility representing the potential gains in knowledge from the experiment, provide a flexible and intuitive methodology for experimental design which remains tractable even for complex multivariate problems. A key feature of the approach is that we allow imprecision in the trade-offs between the various costs and benefits. We identify the Pareto optimal designs under the imprecise specification and suggest a criterion for selecting between such designs. The approach is illustrated with respect to an experiment related to the oral glucose tolerance test.
Item Type: | Article |
---|---|
Keywords: | Imprecise utility, Multi-attribute utility, Pareto optimality, Oral glucose tolerance test. |
Full text: | (AM) Accepted Manuscript Download PDF (257Kb) |
Status: | Peer-reviewed |
Publisher Web site: | http://dx.doi.org/10.1016/j.jspi.2004.07.008 |
Date accepted: | No date available |
Date deposited: | 24 February 2010 |
Date of first online publication: | February 2006 |
Date first made open access: | No date available |
Save or Share this output
Export: | |
Look up in GoogleScholar |