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Related Experiment Videos

Estimating the generalized concordance correlation coefficient through variance components.

Josep L Carrasco1, Lluís Jover

  • 1Bioestadística, Departament de Salut Pública, Universitat de Barcelona, Facultat de Medicina, Casanova, 143 08036 Barcelona, Spain. carrasco@medicina.ub.es

Biometrics
|February 19, 2004
PubMed
Summary
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The intraclass correlation coefficient (ICC) and concordance correlation coefficient (CCC) are equivalent measures of agreement. This study proposes estimating CCC using variance components, offering extensions for multiple observers and covariate adjustment.

Area of Science:

  • Biostatistics
  • Statistical Modeling
  • Psychometrics

Background:

  • Intraclass correlation coefficient (ICC) and concordance correlation coefficient (CCC) are widely used for assessing agreement in continuous data.
  • Both ICC and CCC represent the same agreement measure, but are estimated using different methods: variance components and moment methods, respectively.

Purpose of the Study:

  • To demonstrate the equivalence between ICC and CCC.
  • To propose a novel method for estimating CCC using variance components from mixed-effects models.
  • To extend the application of CCC for multiple observers and adjustment for confounding covariates.

Main Methods:

  • Equivalence demonstration of ICC and CCC through variance components and moment methods.
  • Estimation of CCC using variance components derived from a mixed-effects model.

Related Experiment Videos

  • A simulation study comparing the proposed variance components approach with the traditional moment method.

    • Main Results:

    • ICC and CCC are mathematically identical measures of agreement.
    • The variance components approach provides a unified framework for estimating agreement.
    • The proposed method allows for straightforward extension to accommodate multiple observers and confounding covariates.

    Conclusions:

    • The variance components approach offers a more flexible and extensible method for estimating CCC compared to the moment method.
    • This approach facilitates the incorporation of multiple observers and confounding covariates, enhancing the robustness of agreement assessment.
    • The findings provide a unified perspective on agreement measures and offer practical advantages for statistical analysis in various scientific fields.