Literature DB >> 18026721

Treatment of uncorrected measurement bias in uncertainty estimation for chemical measurements.

Bertil Magnusson1, Stephen L R Ellison.   

Abstract

Consistent treatment of measurement bias, including the question of whether or not to correct for bias, is essential for the comparability of measurement results. The case for correcting for bias is discussed, and it is shown that instances in which bias is known or suspected, but in which a specific correction cannot be justified, are comparatively common. The ISO Guide to the Expression of Uncertainty in Measurement does not provide well for this situation. It is concluded that there is a need for guidance on handling cases of uncorrected bias. Several different published approaches to the treatment of uncorrected bias and its uncertainty are critically reviewed with regard to coverage probability and simplicity of execution. On the basis of current studies, and taking into account testing laboratory needs for a simple and consistent approach with a symmetric uncertainty interval, we conclude that for most cases with large degrees of freedom, linear addition of a bias term adjusted for exact coverage ("U(e)") as described by Synek is to be preferred. This approach does, however, become more complex if degrees of freedom are low. For modest bias and low degrees of freedom, summation of bias, bias uncertainty and observed value uncertainty in quadrature ("RSSu") provides a similar interval and is simpler to adapt to reduced degrees of freedom, at the cost of a more restricted range of application if accurate coverage is desired.

Year:  2007        PMID: 18026721     DOI: 10.1007/s00216-007-1693-1

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  5 in total

1.  Evaluating digital PCR for the quantification of human nuclear DNA: determining target strandedness.

Authors:  Margaret C Kline; David L Duewer
Journal:  Anal Bioanal Chem       Date:  2020-05-30       Impact factor: 4.142

2.  Disregarded Measurement Uncertainty Contributions and Their Magnitude in Measuring Plasma Glucose.

Authors:  Astrid Petersmann; Rainer Macdonald; Matthias Nauck
Journal:  J Diabetes Sci Technol       Date:  2020-11-20

Review 3.  Interlaboratory Studies Using the NISTmAb to Advance Biopharmaceutical Structural Analytics.

Authors:  Katharina Yandrofski; Trina Mouchahoir; M Lorna De Leoz; David Duewer; Jeffrey W Hudgens; Kyle W Anderson; Luke Arbogast; Frank Delaglio; Robert G Brinson; John P Marino; Karen Phinney; Michael Tarlov; John E Schiel
Journal:  Front Mol Biosci       Date:  2022-05-05

4.  Ex Vivo Pilot Study of Cardiac Magnetic Resonance Velocity Mapping for Quantification of Aortic Regurgitation in a Porcine Model in the Presence of a Transcatheter Heart Valve.

Authors:  Nynke H M Kooistra; Freek Nijhoff; Masieh Abawi; Pierfrancesco Agostoni; Daniël M Araya Roos; Sjoerd van Tuijl; Niels Blanken; Michiel Voskuil; Pieter A F M Doevendans; Pieter R Stella; Tim Leiner
Journal:  J Cardiovasc Transl Res       Date:  2019-03-15       Impact factor: 4.132

5.  The NISTmAb Reference Material 8671 value assignment, homogeneity, and stability.

Authors:  John E Schiel; Abby Turner; Trina Mouchahoir; Katharina Yandrofski; Srivalli Telikepalli; Jason King; Paul DeRose; Dean Ripple; Karen Phinney
Journal:  Anal Bioanal Chem       Date:  2018-02-07       Impact factor: 4.142

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.