Literature DB >> 16599831

The exponentially weighted moving average (EWMA) rule compared with traditionally used quality control rules.

Kristian Linnet1.   

Abstract

BACKGROUND: The exponentially moving average (EWMA) rule for internal quality control is a well-known type of control rule in industry. Here, the power of the EWMA rule is evaluated to outline the potential of this type of control rule in clinical chemistry.
METHODS: Using simulations, the power of the EWMA rule was explicitly compared with that of commonly used rules in clinical chemistry. The type I error levels were standardized to common values to achieve unbiased comparisons.
RESULTS: For small to moderately large errors (systematic errors up to 2-3 standard deviations), the EWMA rule outperforms simple rules (N=1) and multi-rules (N=2-6). For example, for a systematic error of 2s, the EWMA rule equivalent to the 1(3s) rule has a power of 0.30, whereas the 1(3s) rule only displays a power of approximately 0.15. For N=4, comparison was carried out with the 1(3s)/2(2s)/R(4s)/4(1s) rule. Here the common type I error level is 0.017. At all error levels, the EWMA rule is superior to the multi-rule. For example, given a 1s systematic error, the EWMA rule has a power (0.4) of twice the value of the multi-rule (0.2).
CONCLUSION: The EWMA rule is an efficient control rule with regard to systematic errors that should be considered for general application in the field of clinical chemistry.

Mesh:

Year:  2006        PMID: 16599831     DOI: 10.1515/CCLM.2006.077

Source DB:  PubMed          Journal:  Clin Chem Lab Med        ISSN: 1434-6621            Impact factor:   3.694


  2 in total

1.  Comparing exponentially weighted moving average and run rules in process control of semiquantitative immunogenicity immunoassays.

Authors:  Troy E Barger; Lei Zhou; Michael Hale; Michael Moxness; Steven J Swanson; Narendra Chirmule
Journal:  AAPS J       Date:  2009-12-10       Impact factor: 4.009

2.  Moving Rate of Positive Patient Results as a Quality Control Tool for High-Sensitivity Cardiac Troponin T Assays.

Authors:  Tingting Li; Shunwang Cao; Yi Wang; Yujuan Xiong; Yuting He; Peifeng Ke; Xianzhang Huang
Journal:  Ann Lab Med       Date:  2020-08-25       Impact factor: 3.464

  2 in total

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