Estimating the performance characteristics of quality-control procedures when error persists until detection.
The concepts of the power function for a quality-control rule, the error detection rate, and the false rejection rate were major advances in evaluating the performance characteristics of quality-control procedures. Most early articles published in this area evaluated the performance characteristics of quality-control rules with the assumption that an intermittent error condition occurred only within the current run, as opposed to a persistent error that continued until detection. Difficulties occur when current simulation methods are applied to the persistent error case. Here, I examine these difficulties and propose an alternative method that handles persistent error conditions effectively when evaluating and quantifying the performance characteristics of a quality-control rule.
Department of Pathology, Washington University School of Medicine, St. Louis, MO 63110.
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Parvin
D002624:Chemistry, Clinical / Q000379:methods*; D016011:Normal Distribution; D011336:Probability; D011786:Quality Control