Sample Size Requirements for Discrete-Choice Experiments in Healthcare: a Practical Guide

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Abstract

Discrete-choice experiments (DCEs) have become a commonly used instrument in health economics and patient-preference analysis, addressing a wide range of policy questions. An important question when setting up a DCE is the size of the sample needed to answer the research question of interest. Although theory exists as to the calculation of sample size requirements for stated choice data, it does not address the issue of minimum sample size requirements in terms of the statistical power of hypothesis tests on the estimated coefficients. The purpose of this paper is threefold: (1) to provide insight into whether and how researchers have dealt with sample size calculations for healthcare-related DCE studies; (2) to introduce and explain the required sample size for parameter estimates in DCEs; and (3) to provide a step-by-step guide for the calculation of the minimum sample size requirements for DCEs in health care.
Original languageUndefined/Unknown
Pages (from-to)373-384
Number of pages12
JournalThe patient: Patient-Centered Outcomes Research
Volume8
Issue number5
DOIs
Publication statusPublished - 2015

Research programs

  • EMC NIHES-05-63-02 Quality
  • EMC NIHES-02-65-01

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