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Related Experiment Videos

Terminological problems around "accuracy" and "uncertainty"

R Dybkaer1

  • 1Copenhagen Hospital Corporation, Department of Standardization in Laboratory Medicine, H:S Kommunehospitalet, Denmark.

Scandinavian Journal of Clinical and Laboratory Investigation
|March 28, 1998
PubMed
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Laboratory medicine lacks standardized nomenclature for metrological data, leading to inconsistent uncertainty interpretation. This study contrasts classical and modern approaches to measurement uncertainty and proposes revised definitions for accuracy, trueness, and precision.

Area of Science:

  • Laboratory medicine
  • Metrology
  • Analytical chemistry

Background:

  • Inconsistent description and treatment of metrological data in laboratory medicine.
  • Lack of a systematic, universally accepted nomenclature for measurement uncertainty.
  • Variations in conceptual understanding of uncertainty.

Purpose of the Study:

  • Discuss differences between classical and modern approaches to measurement results and uncertainty.
  • Contrast definitions of accuracy, trueness, and precision.
  • Propose modifications to relevant concepts.

Main Methods:

  • Conceptual analysis of metrological data description and treatment.
  • Comparison of classical (true value + errors) and modern (corrected value + uncertainty budget) approaches.

Related Experiment Videos

  • Review and contrast definitions of accuracy, trueness, and precision.

    • Main Results:

    • Identified lack of standardized nomenclature as a key issue in laboratory metrology.
    • Highlighted differences in conceptualizing uncertainty: classical error-based vs. modern uncertainty budget.
    • Proposed revised definitions for accuracy, trueness, and precision.

    Conclusions:

    • A universally accepted nomenclature and consistent understanding of uncertainty are crucial for laboratory medicine.
    • Adoption of modern concepts like uncertainty budgets improves metrological data interpretation.
    • Clarified definitions of accuracy, trueness, and precision enhance consistency and comparability of results.