Clinical Chemistry
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Clinical Chemistry 34: 1396-1406, 1988;
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Clinical Chemistry, Vol 34, 1396-1406, Copyright © 1988 by American Association for Clinical Chemistry

Time series modeling for quality control in clinical chemistry

LC Alwan and MG Bissell
Graduate School of Business, Pritzker School of Medicine, University of Chicago, IL 60637.

Autocorrelation of clinical chemistry quality-control (Q/C) measurements causes one of the basic assumptions underlying the use of Levey-Jennings control charts to be violated and performance to be degraded. This is the requirement that the observations be statistically independent. We present a proposal for a new approach to statistical quality control that removes this difficulty. We propose to replace the current single control chart of raw Q/C data with two charts: (a) a common cause chart, representing a Box-Jenkins ARIMA time- series model of any underlying persisting nonrandomness in the process, and (b) a special cause chart of the residuals from the above model, which, being free of such persisting nonrandomness, fulfills the criteria for use of the standard Levey-Jennings plotting format and standard control rules. We provide a comparison of the performance of our proposed approach with that of current practice.





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Copyright © 1988 by the American Association for Clinical Chemistry.