2018
DOI: 10.1373/clinchem.2017.277525
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IFCC Working Group Recommendations for Assessing Commutability Part 1: General Experimental Design

Abstract: Commutability is a property of a reference material (RM) that relates to the closeness of agreement between results for an RM and results for clinical samples (CSs) when measured by ≥ 2 measurement procedures (MPs). Commutability of RMs used in a calibration traceability scheme is an essential property for them to be fit for purpose. Similarly, commutability of trueness controls or external quality assessment samples is essential when those materials are used to assess trueness of results for CSs. This report … Show more

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Cited by 100 publications
(57 citation statements)
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References 6 publications
(9 reference statements)
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“…The commutability assessment determines whether the difference in bias plus its uncertainty fulfills the criterion for a conclusion that an RM is commutable, noncom-mutable, or indeterminate for pairs of MPs. Conclusions regarding suitability for use of an RM can be made by assessing its commutability for all MPs in the assessment as described in part 1 of this series (1). …”
Section: Resultsmentioning
confidence: 99%
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“…The commutability assessment determines whether the difference in bias plus its uncertainty fulfills the criterion for a conclusion that an RM is commutable, noncom-mutable, or indeterminate for pairs of MPs. Conclusions regarding suitability for use of an RM can be made by assessing its commutability for all MPs in the assessment as described in part 1 of this series (1). …”
Section: Resultsmentioning
confidence: 99%
“…The precision and selectivity of each MP should be known in advance and considered in the experimental design. As explained in part 1 of this series (1), MPs should be prequalified for inclusion in a commutability assessment, and MPs with inadequate performance should be excluded. However, sample-specific differences are estimated in this commutability assessment experimental design and, when excessive, can be a reason to exclude an MP from the data analysis and to declare that the RM is not suitable for use with that MP.…”
Section: Models Experimental Designs and Assumptionsmentioning
confidence: 99%
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