A cost-function approach to the design of reliability studies.
We present a method to determine the number of subjects, k, and number of repeated measurements, n, that minimize the overall cost of conducting a reliability study, while providing acceptable power for tests of hypotheses concerning the reliability coefficient rho. Tables showing optimal choices of k and n under various cost constraints also appear. We discuss design considerations for reliability studies in light of the results.
Department of Epidemiology and Biostatistics, University of Western Ontario, London, Canada.
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Eliasziw
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Donner
D000704:Analysis of Variance; D001699:Biometry / Q000379:methods*; D001786:Blood Glucose / Q000032:analysis; D002986:Clinical Trials as Topic / Q000191:economics* / Q000379:methods; D003365:Costs and Cost Analysis; D006801:Humans; D008962:Models, Theoretical; D012044:Regression Analysis
D001786:Blood Glucose