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Clinical Chemistry 43: 602-607, 1997;
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(Clinical Chemistry. 1997;43:602-607.)
© 1997 American Association for Clinical Chemistry, Inc.

Articles

Quality-control (QC) performance measures and the QC planning process

Curtis A. Parvin
Numerous outcome measures can be used to characterize and compare the performance of alternative quality-control (QC) strategies. The performance measure traditionally used in the QC planning process is the probability of rejecting an analytical run when a critical out-of-control error condition exists. Another performance measure that naturally fits within the total allowable error paradigm is the probability that a reported test result contains an analytical error that exceeds the total allowable error specification. In general, the out-of-control error conditions associated with the greatest chance of reporting an unacceptable test result are unrelated to the traditionally defined "critical" error conditions. If the probability of reporting an unacceptable test result is used as the primary performance measure, worst-case QC performance can be determined irrespective of the magnitude of any out-of-control error condition that may exist, thus eliminating the need for the concept of a "critical" out-of-control error.


Key Words: indexing terms: quality assurance • laboratory performance • statistics




The following articles in journals at HighWire Press have cited this article:


Home page
 Clin. Chem.Home page
C. A. Parvin and A. M. Gronowski
Effect of analytical run length on quality-control (QC) performance and the QC planning process
Clin. Chem., November 1, 1997; 43(11): 2149 - 2154.
[Abstract] [Full Text] [PDF]


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Copyright © 1997 by the American Association for Clinical Chemistry.