Comparison of ICC and CCC for assessing agreement for data without and with replications
type: Item
instance of: scholarly article
title: Comparison of ICC and CCC for assessing agreement for data without and with replications
zbMATH Open document ID: 1452.62799
author: Chia-Cheng Chen
author: Huiman X. Barnhart
published in: Computational Statistics and Data Analysis
publication date: 2010-03-30T00:00:00Z
Mathematics Subject Classification ID: 62P10
Mathematics Subject Classification ID: 62H20
Mathematics Subject Classification ID: 62J10
Mathematics Subject Classification ID: 62-08
zbMATH DE Number: 5687778
MaRDI profile type: Publication
full work available at URL: j.csda.2008.09.026
OpenAlex ID: W2032887226
cites work: Modeling Concordance Correlation via GEE to Evaluate Reproducibility
cites work: Overall Concordance Correlation Coefficient for Evaluating Agreement Among Multiple Observers
cites work: Estimating the Generalized Concordance Correlation Coefficient through Variance Components
cites work: A Weighted Concordance Correlation Coefficient for Repeated Measurement Designs
cites work: Random marginal agreement coefficients: rethinking the adjustment for chance when measuring agreement
cites work: A Concordance Correlation Coefficient to Evaluate Reproducibility
cites work: Statistical Methods in Assessing Agreement
cites work: A Note On "A Concordance Correlation Coefficient to Evaluate Reproducibility"
DOI: 10.1016/J.CSDA.2008.09.026
description: scientific article; zbMATH DE number 5687778