Medical College of Wisconsin
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Exponentially adjusted moving mean procedure for quality control. An optimized patient sample control procedure. Am J Clin Pathol 1996 Jan;105(1):44-51

Date

01/01/1996

Pubmed ID

8561087

DOI

10.1093/ajcp/105.1.44

Scopus ID

2-s2.0-0030021379 (requires institutional sign-in at Scopus site)   23 Citations

Abstract

The idea of using patient samples as the basis for control procedures elicits a continuing fascination among laboratorians, particularly in the current environment of cost restriction. Average of normals (AON) procedures, although little used, have been carefully investigated at the theoretical level. The performance characteristics of Bull's algorithm have not been thoroughly delineated, however, despite its widespread use. The authors have generalized Bull's algorithm to use variably sized batches of patient samples and a range of exponential factors. For any given batch size, there is an optimal exponential factor to maximize the overall power of error detection. The optimized exponentially adjusted moving mean (EAMM) procedure, a variant of AON and Bull's algorithm, outperforms both parent procedures. As with any AON procedure, EAMM is most useful when the ratio of population variability to analytical variability (standard deviation ratio, SDR) is low.

Author List

Smith FA, Kroft SH

Author

Steven Howard Kroft MD Chair, Professor in the Pathology department at Medical College of Wisconsin




MESH terms used to index this publication - Major topics in bold

Algorithms
Biological Assay
Blood Chemical Analysis
Chemistry, Clinical
Hematologic Tests
Humans
Probability
Quality Control
Reproducibility of Results
Sampling Studies
Statistics as Topic