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

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. Althou...

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Vydané v:The patient : patient-centered outcomes research Ročník 8; číslo 5; s. 373 - 384
Hlavní autori: de Bekker-Grob, Esther W., Donkers, Bas, Jonker, Marcel F., Stolk, Elly A.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Cham Springer International Publishing 01.10.2015
Springer Nature B.V
Predmet:
Choice Behavior
Conjoint analysis
Design
Health Administration
Health Economics
Health Services Research - organization & administration
Health Services Research - standards
Health Services Research - statistics & numerical data
Humans
Medicine
Medicine & Public Health
MEDLINE
Models, Statistical
Patient Preference - statistics & numerical data
Pharmacoeconomics and Health Outcomes
Practical Application
Public Health
Quality of Life Research
Research Design - statistics & numerical data
Sample Size
Studies
Require Sample Size
Mixed Logit
Minimum Sample Size
Sample Size Calculation
Parametric Approach
ISSN:1178-1653, 1178-1661, 1178-1661
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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.
AbstractList 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.
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.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.
Author Donkers, Bas
Jonker, Marcel F.
de Bekker-Grob, Esther W.
Stolk, Elly A.
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  givenname: Bas
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Mixed Logit
Minimum Sample Size
Sample Size Calculation
Parametric Approach
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Snippet Discrete-choice experiments (DCEs) have become a commonly used instrument in health economics and patient-preference analysis, addressing a wide range of...
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StartPage 373
SubjectTerms Choice Behavior
Conjoint analysis
Design
Health Administration
Health Economics
Health Services Research - organization & administration
Health Services Research - standards
Health Services Research - statistics & numerical data
Humans
Medicine
Medicine & Public Health
MEDLINE
Models, Statistical
Patient Preference - statistics & numerical data
Pharmacoeconomics and Health Outcomes
Practical Application
Public Health
Quality of Life Research
Research Design - statistics & numerical data
Sample Size
Studies
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Title Sample Size Requirements for Discrete-Choice Experiments in Healthcare: a Practical Guide
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