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An experimental study of methods for the analysis of variance components in the inference of laboratory information
Karolinska Univ Hosp, Sweden.
Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Chemistry. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Center for Diagnostics, Department of Clinical Chemistry.ORCID iD: 0000-0003-0756-7723
2020 (English)In: Scandinavian Journal of Clinical and Laboratory Investigation, ISSN 0036-5513, E-ISSN 1502-7686Article in journal (Refereed) Epub ahead of print
Abstract [en]

Measurement uncertainty (MU) can be estimated and calculated by different procedures, representing different aspects and intended use. It is appropriate to distinguish between uncertainty determined under repeatability and reproducibility conditions, and to distinguish causes of variation using analysis of variance components. The intra-laboratory MU is frequently determined by repeated measurements of control material(s) of one or several concentrations during a prolonged period of time. We demonstrate, based on experimental results, how such results can be used to identify the repeatability, pure reproducibility and intra-laboratory variance as the sum of the two. Native patient material was used to establish repeatability using the Dahlberg formula for random differences between measurements and an expanded Dahlberg formula if a non-random difference, e.g. bias, was expected. Repeatability and reproducibility have different clinical relevance in intensive care compared to monitoring treatment of chronic diseases, comparison with reference intervals or screening.

Place, publisher, year, edition, pages
TAYLOR & FRANCIS LTD , 2020.
Keywords [en]
Dahlberg error; repeatability; reproducibility; measurement uncertainty; variance components; analytical sensitivity
National Category
Clinical Laboratory Medicine
Identifiers
URN: urn:nbn:se:liu:diva-162940DOI: 10.1080/00365513.2019.1700426ISI: 000502501100001PubMedID: 31841049OAI: oai:DiVA.org:liu-162940DiVA, id: diva2:1382368
Note

Funding Agencies|Karolinska university laboratory; County council of Ostergotland

Available from: 2020-01-02 Created: 2020-01-02 Last updated: 2020-02-04

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