Related Experiment Video
Updated: Jun 6, 2025

Precise, High-throughput Analysis of Bacterial Growth
Published on: September 19, 2017
Not all biases are created equal: how to deal with bias on laboratory measurements
1Department of Laboratory Medicine, Ludwik Rydygier Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Torun, Bydgoszcz, Poland.
Abstract:
Although the concept of bias appears consolidated in laboratory science, some important changes in its definition and management have occurred since the introduction of metrological traceability theory in laboratory medicine. In the traceability era, medical laboratories should rely on manufacturers who must ensure traceability of their in vitro diagnostic medical devices (IVD-MD) to the highest available references, providing bias correction during the trueness transfer process to calibrators before they are marketed. However, sometimes some bias can be observed arising from an insufficient correction during the traceability implementation. This source of bias can be discovered by the IVD-MD surveillance by traceability-based external quality assessment and confirmed by ad-hoc validation experiments. The assessment of significance should be based on its impact on measurement uncertainty (MU) of results. The IVD manufacturer, appropriately warned, is responsible to take an immediate investigation and eventually fix the problem with a corrective action. Even if IVD-MD is correctly aligned in the validation steps and bias components are eliminated, during ordinary use the system may undergo systematic variations such as those caused by recalibrations and lot changes. These sources of randomly occurring bias are incorporated in the estimate of intermediate reproducibility of IVD-MD through internal quality control and can be tolerated until the estimated MU on clinical samples fulfils the predefined specifications. A readjustment of the IVD-MD by the end-user must be undertaken to try to correct the bias becoming significant. If the bias remains, the IVD manufacturer should be requested to rectify the problem.
Related Concept Videos
Bias
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
Bias in Epidemiological Studies
Contaminants and Errors
Another key consideration is determining the appropriate number of samples required to...
Instrument Calibration
Analytical Balance Calibration
An analytical balance measures mass and requires regular calibration to...
Systematic Error: Methodological and Sampling Errors
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
Random and Systematic Errors

