Sample size and optimal designs for reliability studies
Article first published online: 4 DEC 1998
Copyright © 1998 John Wiley & Sons, Ltd.
Statistics in Medicine
Volume 17, Issue 1, pages 101–110, 15 January 1998
How to Cite
Walter, S. D., Eliasziw, M. and Donner, A. (1998), Sample size and optimal designs for reliability studies. Statist. Med., 17: 101–110. doi: 10.1002/(SICI)1097-0258(19980115)17:1<101::AID-SIM727>3.0.CO;2-E
- Issue published online: 4 DEC 1998
- Article first published online: 4 DEC 1998
- Manuscript Revised: APR 1997
- Manuscript Received: DEC 1996
- Natural Sciences and Engineering Research Council, Canada
A method is developed to calculate the required number of subjects k in a reliability study, where reliability is measured using the intraclass correlation ρ. 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. © 1998 John Wiley & Sons, Ltd.