Sample size and utility-difference precision in discrete-choice experiments: A meta-simulation approach
F. Reed Johnson,
Vikram Kilambi and
Ateesha F. Mohamed
Journal of choice modelling, 2015, vol. 16, issue C, pages 50-57
•A meta-simulation strategy analyzes what affects utility-difference precision.•Meta-data are obtained from 34 individual DCE patient-preference data sets.•Utility-difference precision is regressed on sample size and study characteristics.•Study-design features affect precision more than experimental-design efficiency.•An empirical sample-size power equation is derived for DCE health studies.
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Persistent link: http://EconPapers.repec.org/RePEc:eee:eejocm:v:16:y:2015:i:c:p:50-57
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