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

- 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.