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Related Experiment Videos

Analysing collaborative trials for qualitative microbiological methods: accordance and concordance.

S D Langton1, R Chevennement, N Nagelkerke

  • 1DEFRA Central Science Laboratory, Sand Hutton, York, UK. s.langton@csl.gov.uk

International Journal of Food Microbiology
|October 10, 2002
PubMed
Summary

New measures, accordance and concordance, are introduced for qualitative food microbiology testing. These metrics assess within-laboratory and between-laboratory agreement, respectively, addressing limitations of traditional methods.

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Area of Science:

  • Food microbiology
  • Statistical methods in analytical chemistry

Background:

  • Traditional repeatability and reproducibility measures are unsuitable for qualitative (detection) food microbiology.
  • Existing statistical methods do not adequately capture agreement in qualitative microbiological assays.

Purpose of the Study:

  • Introduce novel statistical measures for assessing agreement in qualitative food microbiology.
  • Define and discuss the properties of 'accordance' (within-laboratory) and 'concordance' (between-laboratory) metrics.
  • Provide a framework for evaluating the reliability of qualitative microbiological test results.

Main Methods:

  • Developed two new statistical measures: accordance and concordance.
  • Defined measures based on the probability of identical test results for identical materials.

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  • Introduced the concordance odds ratio to illustrate the relationship between accordance and concordance.
  • Proposed a statistical method to differentiate between accordance and concordance.

    • Main Results:

    • Accordance quantifies within-laboratory agreement for qualitative tests.
    • Concordance quantifies between-laboratory agreement for qualitative tests.
    • The concordance odds ratio effectively presents the relationship between these agreement measures.
    • A method exists to statistically compare accordance and concordance.

    Conclusions:

    • Accordance and concordance provide robust measures for qualitative food microbiology agreement.
    • These new metrics enhance the assessment of laboratory performance in qualitative detection methods.
    • The proposed statistical framework improves the reliability and comparability of food safety testing data.