Bayesian Estimate: Concordance Correlation Coefficient

Authored by: Dai Feng , Richard Baumgartner , Vladimir Svetnik

Encyclopedia of Biopharmaceutical Statistics

Print publication date:  August  2018
Online publication date:  August  2018

Print ISBN: 9781498733953
eBook ISBN: 9781351110273
Adobe ISBN:

10.1201/9781351110273-140000066

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Abstract

Concordance correlation coefficient (CCC) is one of the most frequently used and reported scaled indices of agreement. There have been several frequentist methods proposed to estimate the CCC. Thus, several questions pertaining to the Bayesian estimate of the CCC naturally arose. In this entry, we aimed at answering the following questions: Is there any added value of a Bayesian approach when compared to frequentist methods? How is a Bayesian estimate of the CCC executed? Are there any potential limitations of Bayesian approaches and what are the possible solutions? Most of the Bayesian methods discussed in the entry were implemented in a package agRee available from the Comprehensive R Archive Network.

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