Sample Size Requirements for Discrete-Choice Experiments in Healthcare: a Practical Guide.
Sample Size Requirements for Discrete-Choice Experiments in Healthcare: a Practical Guide.
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DOI：
10.1007/s40271-015-0118-z
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发表时间：
2015-10
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影响因子：
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通讯作者：
Stolk EA
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文献类型：
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作者：
de Bekker-Grob EW;Donkers B;Jonker MF;Stolk EA
离散选择实验（DCE）已成为卫生经济学和患者偏好分析中常用的工具，解决了广泛的政策问题。建立 DCE 时的一个重要问题是回答感兴趣的研究问题所需的样本量。尽管存在关于计算指定选择数据的样本量要求的理论，但它没有解决根据估计系数的假设检验的统计功效的最小样本量要求的问题。本文的目的有三个：(1) 深入了解研究人员是否以及如何处理医疗保健相关 DCE 研究的样本量计算； (2) 介绍并解释 DCE 中参数估计所需的样本量； (3) 为计算医疗保健领域 DCE 的最小样本量要求提供逐步指南。本文的在线版本 (doi:10.1007/s40271-015-0118-z) 包含补充材料，可供授权用户使用。
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. The online version of this article (doi:10.1007/s40271-015-0118-z) contains supplementary material, which is available to authorized users.