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How to measure uncertainty

How to measure uncertainty

How to measure uncertainty

Product catalog summary
Introduction
This guide provides an overview of how to measure uncertainty in laboratory settings, particularly in the context of ISO 15189:2012 standards. It emphasizes the importance of determining measurement uncertainty for each procedure to ensure accurate patient results.

Understanding Measurement Uncertainty
Measurement uncertainty refers to the doubt associated with any measurement result. It is quantified by determining the margin of error and the confidence level. For example, a measurement might be expressed as 20 cm ±1 cm at a 95% confidence level, indicating a 95% certainty that the true value lies within this range.

Measuring Uncertainty
Uncertainty can be measured using quality control (QC) data, assuming the test system is under control and patient samples are treated like controls. Two main methods are used: repeated readings and incorporating additional information like calibration history. Intra-assay precision (within a single run) and inter-assay precision (across multiple runs) are key factors.

Calculating Uncertainty
The standard error of the mean (SEM) for intra precision and the standard deviation (SD) for inter precision are calculated, squared, summed, and square-rooted to determine uncertainty (u). Expanded uncertainty (U) is calculated by multiplying u by a coverage factor (K), typically 2 for a 95% confidence level.

Factors Affecting Uncertainty
Bias must be considered and minimized. The uncertainty of bias is calculated using reference material uncertainties. Sources of uncertainty include pre-analytical, analytical, and post-analytical factors, such as sample collection and instrument performance.

Conclusion
Regular assessment and improvement of measurement uncertainty are crucial. Understanding and quantifying uncertainty transforms it into a confidence interval, enhancing the reliability of laboratory results.

Glossary
Definitions of key terms such as error, uncertainty, standard deviation, coefficient of variation, and standard error of mean are provided.

Contact Information
For further information, contact the QC Marketing Team at Randox Laboratories.

Product Information
Randox Laboratories offers a range of multi-analyte controls and software solutions to help laboratories meet ISO 15189:2012 requirements, reduce costs, and improve performance monitoring.
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Catalog excerpts

How to measure uncertainty-1

EDUCATIONAL GUIDE How to Measure Uncertainty QUALITY CONTROL

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How to measure uncertainty-2

How to Measure Uncertainty “The laboratory shall determine measurement uncertainty for each measurement procedure, in the examination phases used to report measured quantity values on patients’ samples. The laboratory shall define the performance requirements for the measurement uncertainty of each measurement procedure and regularly review estimates of measurement uncertainty.” ISO 15189:2012 - Section 5.5.8.3 What is Measurement Uncertainty? Measurement Good Practice Guide No. 11 It relates to the doubt that exists for the result of any measurement. For every measurement there is always a margin...

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AACB recommend labs use at least 6 months QC data to calculate uncertainty. When measuring uncertainty we look at two things intra assay precision and inter assay precision. Intra precision refers to precision within a run; it is normally measured by running 20 or more replicates of the same sample at the same time.This process will help to identify any random uncertainties within a test system. Inter precision on the other hand refers to precision over a number of different runs, it is normally measured by running 20 or more replicates of the sample over several days e.g. one replicate every...

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How to measure uncertainty-4

Other Factors Affecting Uncertainty It is important to consider bias when calculating uncertainty. Bias must be measured and if it is significant removed or minimised. If bias is not removed the uncertainty of the bias correction must be calculated and included in the overall uncertainty measurement. To calculate the uncertainty of bias we must first determine uRef and uRep. uRef – Uncertainty value of the analyte assigned to the reference material/EQA. This can be obtained from the reference material or EQA report. uRep – Uncertainty value of the analyte in the reference material/EQA when measured...

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How to measure uncertainty-5

Conclusion The uncertainty of a measurement relates to the doubt that exists for the result of any measurement. If uncertainty is measured it is no longer uncertainty, but the confidence interval within which the result falls. Uncertainty should be assessed regularly and attempts made to improve the value. Glossary Error – The difference between the measured value and the true value. Uncertainty – A quantification of the doubt relating to a measured value. Standard Deviation (SD) – A measure of how spread out a set of numbers are. Approximately two thirds of all readings will fall between ± one...

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ACUSERA True third party quality controls As a world leading manufacturer of multi-analyte true third party controls, thousands of laboratories rely on Randox to accurately assess test system performance and ultimately empower them with the confidence required to release patient test results. With more than 390 analytes available, the number of individual controls required to cover your test menu is significantly reduced while simultaneously reducing costs, time and storage space. A choice of formats is available, including liquid or lyophilised, which ensures flexibility and suitability for...

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How to measure uncertainty-7

ACUSERA 24•7 Interlaboratory Data Management Designed for use with the Acusera range of third party controls, the Acusera 24•7 software helps laboratories monitor and interpret their QC data. Access to an impressive range of features, including interactive charts, the automatic calculation of Measurement Uncertainty & Sigma Metrics and live peer group data generated from our extensive database of laboratory participants, ensures Acusera 24•7 is the most comprehensive package available. • Advanced statistical analysis with automatic calculation of performance metrics including; Sigma, UM, TE &...

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Copyright © 2019 Randox Laboratories Ltd. All rights Reserved. VAT number: GB 151682708. Product availability may vary from country to country. Some products may be for Research Use Only. For more information on product application and availability, please contact your local Randox Representative.

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