Literature DB >> 28153359

Measuring Analytical Quality: Total Analytical Error Versus Measurement Uncertainty.

James O Westgard1, Sten A Westgard2.   

Abstract

To characterize analytical quality of a laboratory test, common practice is to estimate Total Analytical Error (TAE) which includes both imprecision and trueness (bias). The metrologic approach is to determine Measurement Uncertainty (MU), which assumes bias can be eliminated, corrected, or ignored. Resolving the differences in these concepts and approaches is currently a global issue.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Accuracy; Allowable total error (ATE); Bias; Measurement uncertainty (MU); Total analytical error (TAE)

Mesh:

Year:  2016        PMID: 28153359     DOI: 10.1016/j.cll.2016.09.001

Source DB:  PubMed          Journal:  Clin Lab Med        ISSN: 0272-2712            Impact factor:   1.935


  3 in total

Review 1.  Analytical Sigma metrics: A review of Six Sigma implementation tools for medical laboratories.

Authors:  Sten Westgard; Hassan Bayat; James O Westgard
Journal:  Biochem Med (Zagreb)       Date:  2018-06-15       Impact factor: 2.313

2.  Effect of haemolysis on an enzymatic measurement of ethanol.

Authors:  Abdulkadir Çat; Kamil Taha Uçar; Alper Gümüş
Journal:  Biochem Med (Zagreb)       Date:  2020-12-15       Impact factor: 2.313

Review 3.  Current and emerging concepts in biological and analytical variation applied in clinical practice.

Authors:  Bente Flatland; Randolph M Baral; Kathleen P Freeman
Journal:  J Vet Intern Med       Date:  2020-10-21       Impact factor: 3.333

  3 in total

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