Sample size and optimal designs for reliability studies

被引:14
|
作者
Walter, SD
Eliasziw, M
Donner, A
机构
[1] McMaster Univ, Dept Clin Epidemiol & Biostat, Hamilton, ON L8N 3Z5, Canada
[2] John P Robarts Res Inst, London, ON N6A 5K8, Canada
[3] Univ Western Ontario, Dept Epidemiol & Biostat, London, ON N6A 5C1, Canada
关键词
D O I
10.1002/(SICI)1097-0258(19980115)17:1<101::AID-SIM727>3.0.CO;2-E
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
A method is developed to calculate the required number of subjects k in a reliability study, where reliability is measured using the intraclass correlation p. 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. (C) 1998 John Wiley & Sons, Ltd.
引用
收藏
页码:101 / 110
页数:10
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