Measuring Analytical Quality : Total Analytical Error Versus Measurement Uncertainty - 14/12/17
Doi : 10.1016/j.cll.2016.09.001
James O. Westgard, PhD a, b, ⁎ 
, Sten A. Westgard, MS b
, Sten A. Westgard, MS b a Department of Pathology and Laboratory Medicine, School of Medicine and Public Health, University of Wisconsin, Madison, WI 53705, USA
b Westgard QC, Inc, Madison, WI 53717, USA
∗Corresponding author. Department of Pathology and Laboratory Medicine, School of Medicine and Public Health, University of Wisconsin, Madison, WI 53705.Department of Pathology and Laboratory MedicineSchool of Medicine and Public HealthUniversity of WisconsinMadisonWI53705
Résumé |
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.
Le texte complet de cet article est disponible en PDF.Keywords : Total analytical error (TAE), Allowable total error (ATE), Measurement uncertainty (MU), Accuracy, Bias
Plan
© 2016
Elsevier Inc. Tous droits réservés.
Vol 37 - N° 1
P. 1-13 - mars 2017 Retour au numéro
Article précédent
- Preface
- James O. Westgard, David Armbruster, Sten A. Westgard
- Uncertainty in Measurement and Total Error : Tools for Coping with Diagnostic Uncertainty
- Elvar Theodorsson
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