Uncertainty is an inseparable part of all types of measurement. Recently, the International Organization for Standardization (ISO) released a new standard (ISO 20914) on how to calculate measurement uncertainty (MU) in laboratory medicine. This standard can be regarded as the beginning of a new era in laboratory medicine. Measurement uncertainty comprises various components and is used to calculate the total uncertainty. All components must be expressed in standard deviation (SD) and then combined. However, the characteristics of these components are not the same; some are expressed as SD, while others are expressed as a ± b, such as the purity of the reagents. All non-SD variables must be transformed into SD, which requires a detailed know...
Since the endorsement by ISO15189:2012 of measurement uncertainty (MU) for the estimation of error i...
The objective of the trials was to estimate in different products (matrices) the components of the m...
In performing a measurement, we encounter errors or biases from a number of sources. Such sources in...
Uncertainty is an inseparable part of all types of measurement. Recently, the International Organiza...
Introduction: By quantifying the measurement uncertainty (MU), both the laboratory and the physician...
An adequate assessment of the measurement uncertainty in a laboratory medicine is one of the most im...
IntroductionMeasurement uncertainty is a non-negative parameter that characterizes the distribution ...
Error methods - compared with uncertainty methods - offer simpler, more intuitive and practical proc...
Laboratory medicine decreases diagnostic uncertainty, but is influenced by factors causing uncertain...
The International vocabulary of metrology – Basic and general concepts and associated terms (VIM3, 2...
All types of measurements have some inaccuracy due to bias and imprecision. Quality control (QC) che...
Clinicians request a large part of measurements of biological quantities that clinical laboratories ...
The present study was prompted by the ISO 15189 requirements that medical laboratories should estima...
Background: The estimation of measurement uncertainty (MU) in clinical laboratories is of crucial im...
A measurement result is incomplete without a statement of its 'uncertainty' or 'margin of error'. Bu...
Since the endorsement by ISO15189:2012 of measurement uncertainty (MU) for the estimation of error i...
The objective of the trials was to estimate in different products (matrices) the components of the m...
In performing a measurement, we encounter errors or biases from a number of sources. Such sources in...
Uncertainty is an inseparable part of all types of measurement. Recently, the International Organiza...
Introduction: By quantifying the measurement uncertainty (MU), both the laboratory and the physician...
An adequate assessment of the measurement uncertainty in a laboratory medicine is one of the most im...
IntroductionMeasurement uncertainty is a non-negative parameter that characterizes the distribution ...
Error methods - compared with uncertainty methods - offer simpler, more intuitive and practical proc...
Laboratory medicine decreases diagnostic uncertainty, but is influenced by factors causing uncertain...
The International vocabulary of metrology – Basic and general concepts and associated terms (VIM3, 2...
All types of measurements have some inaccuracy due to bias and imprecision. Quality control (QC) che...
Clinicians request a large part of measurements of biological quantities that clinical laboratories ...
The present study was prompted by the ISO 15189 requirements that medical laboratories should estima...
Background: The estimation of measurement uncertainty (MU) in clinical laboratories is of crucial im...
A measurement result is incomplete without a statement of its 'uncertainty' or 'margin of error'. Bu...
Since the endorsement by ISO15189:2012 of measurement uncertainty (MU) for the estimation of error i...
The objective of the trials was to estimate in different products (matrices) the components of the m...
In performing a measurement, we encounter errors or biases from a number of sources. Such sources in...