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National Institute of Environmental Health Sciences

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Your Environment. Your Health.

Publication Detail

Title: Robust estimators of the concordance correlation coefficient.

Authors: King, T S; Chinchilli, V M

Published In J Biopharm Stat, (2001)

Abstract: This paper proposes a generalized version of Lin' s concordance correlation coefficient for the agreement assessment of continuous data. Lin's coefficient evaluates the accuracy and precision between two measures, and is based on the expected value of the squared distance function. We generalize Lin's coefficient, apply alternative distance functions, and produce more robust versions of the concordance correlation coefficient. In this paper, we develop the asymptotic theory for this class of estimators, investigate small-sample properties via computer simulation, and demonstrate their use with two real data examples.

PubMed ID: 11725932 Exiting the NIEHS site

MeSH Terms: No MeSH terms associated with this publication

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