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APL AC TC 005INTERPRETATION AND GUIDANCE ON THE ESTIMATION OF UNCERTAINTY OF MEASUREMENT IN TESTINGIssue No. 4Issue Date: 09/10Page 1 of 17Interpretation and Guidance on the Estimation of Uncertainty.
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Ioml FAQ
Measurement uncertainty is a parameter related to the results of measurement such as testing and calibration, which determines the range of values attributed to a measured quantity. Measurement uncertainty is a quantitative result – a measurand of a qualitative indicator.
Uncertainty of a measurement refers to the doubt, which exists for the result of any measurement within the laboratory. There are a number of factors which must be considered when calculating uncertainty, including your chosen method, Bias, analytical errors and so on.
The concept of uncertainty implies the likelihood of the impact of pre-analytical, analytical, biological and post-analytical causes on the outcome of laboratory medicine, which is a clinical response to the outcome. Also, measurement errors are usually a wider set of causes of measurement uncertainty (49).
When considering the unit under test in comparison to the equipment or standard used, it is common for the item to be less stable, have less resolution, and have an unquantified bias. All of these factors contribute to the uncertainty in the measurement result.
Definitions. Measurement Uncertainty - parameter, associated with the result of a measurement, that characterizes the. dispersion of the values that could reasonably be attributed to the measurand.
Standard measurement uncertainty (SD) divided by the absolute value of the measured quantity value. CV = SD/x or SD/mean value. Standard measurement uncertainty that is obtained using the individual standard measurement uncertainties associated with the input quantities in a measurement model.
Measurement Uncertainty in ISO/IEC 17025:2017 This means that laboratories must have a comprehensive understanding of the sources of uncertainty that affect their measurements, and they must be able to estimate the size of these uncertainties using appropriate statistical methods.
Measurement Uncertainty (MU) relates to the margin of doubt that exists for the result of any measurement, as well as how significant the doubt is. For example, a piece of string may measure 20 cm plus or minus 1 cm, at the 95% confidence level. As a result, this could be written: 20 cm ±1 cm, with a confidence of 95%.
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