Concordance correlation coefficient

In statistics, the concordance correlation coefficient measures the agreement between two variables, e.g., to evaluate reproducibility or for inter-rater reliability. == Definition == The form of the concordance correlation coefficient ρ c {\displaystyle \rho _{c}} as ρ c = 2 ρ σ x σ y σ x 2 + σ y 2 + ( μ x − μ y ) 2 , {\displaystyle \rho _{c}={\frac {2\rho \sigma _{x}\sigma _{y}}{\sigma _{x}^{2}+\sigma _{y}^{2}+(\mu _{x}-\mu _{y})^{2}}},} where μ x {\displaystyle \mu _{x}} and μ y {\displaystyle \mu _{y}} are the means for the two variables and σ x 2 {\displaystyle \sigma _{x}^{2}} and σ y 2 {\displaystyle \sigma _{y}^{2}} are the corresponding variances.

Source: Wikipedia — Concordance correlation coefficient (CC BY-SA 4.0)

Concordance correlation coefficient

In statistics, the concordance correlation coefficient measures the agreement between two variables, e.g., to evaluate reproducibility or for inter-rater reliability. == Definition == The form of the concordance correlation coefficient ρ c {\displaystyle \rho _{c}} as ρ c = 2 ρ σ x σ y σ x 2 + σ y 2 + ( μ x − μ y ) 2 , {\displaystyle \rho _{c}={\frac {2\rho \sigma _{x}\sigma _{y}}{\sigma _{x}^{2}+\sigma _{y}^{2}+(\mu _{x}-\mu _{y})^{2}}},} where μ x {\displaystyle \mu _{x}} and μ y {\displaystyle \mu _{y}} are the means for the two variables and σ x 2 {\displaystyle \sigma _{x}^{2}} and σ y 2 {\displaystyle \sigma _{y}^{2}} are the corresponding variances.

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Source: Wikipedia "Concordance correlation coefficient" · CC BY-SA 4.0

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