A generalized concordance correlation coefficient for continuous and categorical data

Research output: Contribution to journalArticle

116 Citations (Scopus)

Abstract

This paper discusses a generalized version of the concordance correlation coefficient for agreement data. The concordance correlation coefficient evaluates the accuracy and precision between two measures, and is based on the expected value of the squared function of distance. We have generalized this coefficient by applying alternative functions of distance to produce more robust versions of the concordance correlation coefficient. In this paper we extend the application of this class of estimators to categorical data as well, and demonstrate similarities to the kappa and weighted kappa statistics. We also introduce a stratified concordance correlation coefficient which adjusts for explanatory factors, and an extended concordance correlation coefficient which measures agreement among more than two responses. With these extensions, the generalized concordance correlation coefficient provides a unifying approach to assessing agreement among two or more measures that are either continuous or categorical in scale.

Original languageEnglish (US)
Pages (from-to)2131-2147
Number of pages17
JournalStatistics in Medicine
Volume20
Issue number14
DOIs
StatePublished - Jul 30 2001

Fingerprint

Nominal or categorical data
Concordance
Correlation coefficient
Expected Value
Categorical
Statistics
Estimator
Evaluate
Alternatives
Coefficient
Demonstrate

All Science Journal Classification (ASJC) codes

  • Epidemiology
  • Statistics and Probability

Cite this

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A generalized concordance correlation coefficient for continuous and categorical data. / King, Tonya; Chinchilli, Vernon.

In: Statistics in Medicine, Vol. 20, No. 14, 30.07.2001, p. 2131-2147.

Research output: Contribution to journalArticle

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