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Clinical Chemistry, Vol 37, 1720-1724, Copyright © 1991 by American Association for Clinical Chemistry
CA Parvin
Department of Pathology, Washington University School of Medicine, St. Louis, MO 63110.
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.
The following articles in journals at HighWire Press have cited this article:
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J. O. Westgard and B. Stein Automated Selection of Statistical Quality-Control Procedures to Assure Meeting Clinical or Analytical Quality Requirements Clin. Chem., February 1, 1997; 43(2): 400 - 403. [Full Text] [PDF] |
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