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Related Experiment Videos

Coefficient of accuracy and concordance correlation coefficient: new statistics for methods comparison

L Lin1, L D Torbeck

  • 1Baxter Healthcare Corporation, Skokie, IL.

PDA Journal of Pharmaceutical Science and Technology
|June 4, 1998
PubMed
Summary

A new Coefficient of Accuracy (C(a)) measures measurement accuracy, unlike the Coefficient of Determination (r2) which only measures precision. Together, they form the Concordance Correlation Coefficient (rc) for comprehensive method comparison.

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Area of Science:

  • Biostatistics
  • Measurement Science
  • Analytical Chemistry

Background:

  • Traditional methods comparison often relies on the Coefficient of Determination (r2).
  • r2 primarily assesses the precision of the relationship between measurement methods.
  • A gap exists in quantifying the accuracy of measurement methods.

Purpose of the Study:

  • Introduce a novel statistic, the Coefficient of Accuracy (C(a)), for methods comparison.
  • To develop a metric that specifically quantifies the accuracy of a relationship.
  • To combine accuracy and precision into a single, comprehensive measure.

Main Methods:

  • Development of the Coefficient of Accuracy (C(a)) statistic.
  • Comparison of C(a) with the existing Coefficient of Determination (r2).

Related Experiment Videos

  • Integration of C(a) and r2 to form the Concordance Correlation Coefficient (rc).

    • Main Results:

    • The Coefficient of Accuracy (C(a)) quantifies the agreement or accuracy of a relationship.
    • The Coefficient of Determination (r2) measures only the precision.
    • The Concordance Correlation Coefficient (rc) combines both accuracy and precision.

    Conclusions:

    • C(a) provides a crucial measure of accuracy in methods comparison.
    • The Concordance Correlation Coefficient (rc) offers a more complete assessment of measurement method agreement.
    • This advancement enhances the evaluation of new versus old measurement methods and inter-laboratory comparisons.