Sample size and utility-difference precision in discrete-choice experiments: A meta-simulation approach (original) (raw)

Journal of choice modelling, 2015

Abstract

•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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