Statistical distributions commonly used in measurement uncertainty in laboratory medicine

dc.contributor.authorCoskun, Abdurrahman
dc.contributor.authorOosterhuis, Wytze P.
dc.date.accessioned2023-02-21T12:32:39Z
dc.date.available2023-02-21T12:32:39Z
dc.date.issued2020-01-01
dc.description.abstractUncertainty is an inseparable part of all types of measurement. Recently, the International Organization for Standardization (ISO) released a new standard (ISO 20914) on how to calculate measurement uncertainty (MU) in laboratory medicine. This standard can be regarded as the beginning of a new era in laboratory medicine. Measurement uncertainty comprises various components and is used to calculate the total uncertainty. All components must be expressed in standard deviation (SD) and then combined. However, the characteristics of these components are not the same
dc.description.abstractsome are expressed as SD, while others are expressed as a +/- b, such as the purity of the reagents. All non-SD variables must be transformed into SD, which requires a detailed knowledge of common statistical distributions used in the calculation of MU. Here, the main statistical distributions used in MU calculation are briefly summarized.
dc.description.issue1
dc.description.issueFEB
dc.description.volume30
dc.identifier.doi10.11613/BM.2020.010101
dc.identifier.urihttps://hdl.handle.net/11443/1199
dc.identifier.urihttp://dx.doi.org/10.11613/BM.2020.010101
dc.identifier.wosWOS:000514284400001
dc.publisherCROATIAN SOC MEDICAL BIOCHEMISTRY \& LABORATORY MEDICINE
dc.relation.ispartofBIOCHEMIA MEDICA
dc.subjectmeasurement uncertainty
dc.subjectnormal distribution
dc.subjecttriangular distribution
dc.subjectuniform distribution
dc.titleStatistical distributions commonly used in measurement uncertainty in laboratory medicine
dc.typeArticle

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