Journal ArticleDOI
Sample size and optimal designs for reliability studies
TLDR
A functional approximation to earlier exact results is shown to have excellent agreement with the exact results and one can use it easily without intensive numerical computation.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.read more
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The CLASI (Cutaneous Lupus Erythematosus Disease Area and Severity Index): An Outcome Instrument for Cutaneous Lupus Erythematosus
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Journal ArticleDOI
Sample size requirements for the design of reliability study: review and new results
TL;DR: The reliability of continuous or binary outcome measures is usually assessed by estimation of the intraclass correlation coefficient (ICC), and the optimal allocation for the number of subjects k and thenumber of repeated measurements n that minimize the variance of the estimated ICC is discussed.