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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...
- How measurement science can improve confidence in research results
Here, we suggest a framework for a systematic process, based...
- Uncertainty of Measurement in Laboratory Medicine - PMC
In cases where the testing process involves measurement...
- Current databases on biological variation: pros, cons and progress
One useful measure of this is measurement uncertainty. Although the concept of measurement uncertainty has been recognised by chemists for many years, it was the publication in 1993 of the “Guide to the Expression of Uncertainty in Measurement” (the GUM) [H.2]
23 kwi 2018 · 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.
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.
6 maj 2022 · A comparison can also be made between uncertainties that have themselves been evaluated using different estimation procedures. This paper discusses the comparison of uncertainties in chemical measurements using case study examples.
25 lis 2014 · Interpretation of a study’s results should be primarily based on the estimated effect and a measure of its uncertainty. In mainstream statistics, the uncertainty of estimates is indicated by the use of confidence intervals.
28 sty 2023 · This chapter provides an overview of the evaluation and analysis of measurement uncertainty. The study also describes the strengths, weaknesses, opportunities, and threats (SWOT) analysis of the Monte Carlo simulation (MCS) in the evaluation of measurement uncertainty.
