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Bias in clinical chemistry
Linköping University, Department of Clinical and Experimental Medicine, Division of Microbiology and Molecular Medicine. Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Center for Diagnostics, Department of Clinical Chemistry.
SP Technical Research Institute Sweden, Sweden.
University of Tartu, Estonia.
2014 (English)In: Bioanalysis, ISSN 1757-6180, E-ISSN 1757-6199, Vol. 6, no 21, 2855-2875 p.Article, review/survey (Refereed) Published
Abstract [en]

Clinical chemistry uses automated measurement techniques and medical knowledge in the interest of patients and healthy subjects. Automation has reduced repeatability and day-to-day variation considerably. Bias has been reduced to a lesser extent by reference measurement systems. It is vital to minimize clinically important bias, in particular bias within conglomerates of laboratories that measure samples from the same patients. Small and variable bias components will over time show random error properties and conventional random-error based methods for calculating measurement uncertainty can then be applied. The present overview of bias presents the general principles of error and uncertainty concepts, terminology and analysis, and suggests methods to minimize bias and measurement uncertainty in the interest of healthcare.

Place, publisher, year, edition, pages
Future Science , 2014. Vol. 6, no 21, 2855-2875 p.
National Category
Clinical Medicine
URN: urn:nbn:se:liu:diva-113794DOI: 10.4155/BIO.14.249ISI: 000346699600007PubMedID: 25486232OAI: diva2:785063

Funding Agencies|County Council of Ostergotland; Linkoping University

Available from: 2015-02-02 Created: 2015-01-30 Last updated: 2015-06-11

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