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可靠性研究的样本量与最优设计。

Sample size and optimal designs for reliability studies.

作者信息

Walter S D, Eliasziw M, Donner A

机构信息

Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada.

出版信息

Stat Med. 1998 Jan 15;17(1):101-10. doi: 10.1002/(sici)1097-0258(19980115)17:1<101::aid-sim727>3.0.co;2-e.

Abstract

A method is developed to calculate the required number of subjects k in a reliability study, where reliability is measured using the intraclass correlation rho. The method is based on a functional approximation to earlier exact results. The approximation is shown to have excellent agreement with the exact results and one can use it easily without intensive numerical computation. Optimal design configurations are also discussed; for reliability values of about 40 per cent or higher, use of two or three observations per subject will minimize the total number of observations required.

摘要

开发了一种方法来计算可靠性研究中所需的受试者数量k,其中可靠性是使用组内相关系数rho来衡量的。该方法基于对早期精确结果的函数近似。结果表明,该近似与精确结果具有极好的一致性,并且无需进行大量数值计算即可轻松使用。还讨论了最优设计配置;对于约40%或更高的可靠性值,每个受试者使用两个或三个观察值将使所需的总观察值数量最小化。

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