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
01/01/1996Pubmed ID
8561087DOI
10.1093/ajcp/105.1.44Scopus ID
2-s2.0-0030021379 (requires institutional sign-in at Scopus site) 23 CitationsAbstract
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 SHAuthor
Steven Howard Kroft MD Chair, Professor in the Pathology department at Medical College of WisconsinMESH terms used to index this publication - Major topics in bold
AlgorithmsBiological Assay
Blood Chemical Analysis
Chemistry, Clinical
Hematologic Tests
Humans
Probability
Quality Control
Reproducibility of Results
Sampling Studies
Statistics as Topic