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Evaluation of Measurement Uncertainty of Glucose in Clinical Chemistry

:  The definition of the uncertainty of measurement used in the International Vocabulary of Basic and General Terms in Metrology (VIM) is a parameter associated with the result of a measurement, which characterizes the dispersion of the values that could reasonably be attributed to the measurand. Un...

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Bibliographic Details
Published in:Annals of the New York Academy of Sciences 2007-04, Vol.1100 (1), p.223-226
Main Authors: Berçik Inal, B, Koldas, M, Inal, H, Coskun, C, Gümüs, A, Döventas, Y
Format: Article
Language:English
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Summary::  The definition of the uncertainty of measurement used in the International Vocabulary of Basic and General Terms in Metrology (VIM) is a parameter associated with the result of a measurement, which characterizes the dispersion of the values that could reasonably be attributed to the measurand. Uncertainty of measurement comprises many components. In addition to every parameter, the measurement uncertainty is that a value should be given by all institutions that have been accredited. This value shows reliability of the measurement. GUM, published by NIST, contains uncertainty directions. Eurachem/CITAC Guide CG4 was also published by Eurachem/CITAC Working Group in the year 2000. Both of them offer a mathematical model, for uncertainty can be calculated. There are two types of uncertainty in measurement. Type A is the evaluation of uncertainty through the statistical analysis and type B is the evaluation of uncertainty through other means, for example, certificate reference material. Eurachem Guide uses four types of distribution functions: (1) rectangular distribution that gives limits without specifying a level of confidence (u(x)=a/√3) to a certificate; (2) triangular distribution that values near to the same point (u(x)=a/√6); (3) normal distribution in which an uncertainty is given in the form of a standard deviation s, a relative standard deviation s/√n, or a coefficient of variance CV% without specifying the distribution (a = certificate value, u = standard uncertainty); and (4) confidence interval.
ISSN:0077-8923
1749-6632
DOI:10.1196/annals.1395.023