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5 kwi 2001 · Examples of sources of uncertainty in our field are the measurement of volumes, weighing, reaction temperature, purity of reagents, and value assigned to the calibrator. Also properties of the instrument used e.g. the size and tolerance of the cuvette, if the instrument uses more than one cuvette they may be different, the wavelength etc.
- PubMed
Several quantities (particularly hormones) have been treated...
- PubMed
1 lip 2018 · Note 3: Examples of the practical benefits of estimating measurement uncertainty are the confirmation that the measured values of patients meet the quality objectives set by the laboratory and can be meaningfully compared with the previous value or with a clinically significant value.
Uncertainty of measurement (UM, also referred to as measurement uncertainty, MU), traceability and numerical significance are inter-related concepts that affect both the format and the information conveyed by a quantitative result.
1 lis 2011 · The paper discusses the problem of evaluating the contribution of systematic errors to the overall measurement uncertainty. After a brief review of the standard GUM approach, which uses distributions in a largely subjective sense, and of two alternative approaches, which do not use distributions at all, a strictly “objective” and ...
6 gru 2016 · Revised versions of the Guide to the Expression of Uncertainty in Measurement and International Vocabulary of Metrology are likely to explicitly endorse both error and uncertainty approaches, including both frequentist and bayesian statistical methods, in chemical metrology.
1 cze 2022 · An example of the calculation of measurement uncertainty for ALT, HbA1c, and Na using data obtained under reproducibility conditions. The data of three laboratories were combined as a single dataset to calculate the MU applied to patients’ test results.
18 sty 2022 · In this article, we distinguish between the use of an expression of uncertainty as information for the recipient of a measurement result and its use when propagating uncertainty about inputs to a measurement model in order to derive the uncertainty in a measurand.
