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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.
- Current databases on biological variation: pros, cons and progress
A database with reliable information to derive definitive...
- Uncertainty of Measurement in Laboratory Medicine - PMC
In cases where the testing process involves measurement...
- How measurement science can improve confidence in research results
Abstract. The current push for rigor and reproducibility is...
- Current databases on biological variation: pros, cons and progress
The second edition stressed that the procedures introduced by a laboratory to estimate its measurement uncertainty should be integrated with existing quality assurance measures, since these measures frequently provide much of the information required to evaluate the measurement uncertainty.
This suite of examples illustrates good practice in evaluating measurement uncertainty in a variety of fields including calibration, testing, comparison and conformity, and relate to sectors that include environment, energy, quality of life, industry and society.
1 lip 2018 · In cases where the testing process involves measurement steps, but not a measured value report, the laboratory should calculate the uncertainty of each measurement step, if they have an impact in assessing the reliability of the test procedure or have an impact on the displayed results.
1 lis 2016 · The paper presents examples of the evaluation of uncertainty components in accordance with the current and revised Guide to the expression of uncertainty in measurement (GUM).
8 lut 2023 · Uncertainty in Measurement and outlines a practical approach to estimating uncertainties based on information available in a laboratory. This article presents an example of estimating measurement uncertainties performed in a medical laboratory.
23 kwi 2018 · Abstract. The current push for rigor and reproducibility is driven by a desire for confidence in research results. Here, we suggest a framework for a systematic process, based on consensus principles of measurement science, to guide researchers and reviewers in assessing, documenting, and mitigating the sources of uncertainty in a study.
