Design of internal quality control for reference value studies

Author(s):  
James O. Westgard

AbstractInternal quality control should assure that the desired quality goals are achieved during reference value studies. Quality goals are often stated in the form of allowable limits of error, such as an allowable total error or an allowable bias. For reference value studies, it may be more appropriate to utilize a goal for allowable bias. In either case, it is possible to calculate a metric in the form of the critical systematic error that can be used to guide selection or design of the internal quality control procedure. A graphical tool, called the critical-error graph, facilitates the selection by superimposing the calculated critical systematic error on the power curves of different control rules and numbers of control measurements. Examples are provided to illustrate the calculation of the critical systematic error from both an allowable total error goal and an allowable bias goal, using figures from an extensive tabulation of available total error and bias goals.

Pathology ◽  
2017 ◽  
Vol 49 ◽  
pp. S96-S97
Author(s):  
Gemma M. Daley ◽  
Karen Noy ◽  
Mary Hardwick ◽  
David Clarke ◽  
Nigel Brown

1989 ◽  
Vol 35 (7) ◽  
pp. 1416-1422 ◽  
Author(s):  
K Linnet

Abstract Design of control charts for the mean, the within-run component of variance, and the ratio of between-run to within-run components of variance is outlined. The between-run component of variation is the main source of imprecision for analytes determined by an enzymo- or radioimmunoassay principle; accordingly, explicit control of this component is especially relevant for these types of analytes. Power curves for typical situations are presented. I also show that a between-run component of variation puts an upper limit on the achievable power towards systematic errors. Therefore, when the between-run component of variation exceeds the within-run component, use of no more than about four controls per run is reasonable at a given concentration.


2018 ◽  
Vol 33 (1) ◽  
pp. e22643 ◽  
Author(s):  
Huizhen Sun ◽  
Wei Wang ◽  
Haijian Zhao ◽  
Chuanbao Zhang ◽  
Falin He ◽  
...  

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