Comparison of ICC and CCC for assessing agreement for data without and with replications

DOI10.1016/j.csda.2008.09.026zbMath1452.62799OpenAlexW2032887226MaRDI QIDQ961150

Huiman X. Barnhart, Chia-Cheng Chen

Publication date: 30 March 2010

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2008.09.026

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Measures of association (correlation, canonical correlation, etc.) (62H20) Analysis of variance and covariance (ANOVA) (62J10)

Related Items (2)

Assessing agreement with intraclass correlation coefficient and concordance correlation coefficient for data with repeated measures ⋮ Statistical inference on the significance of rows and columns for matrix-valued data in an additive model

Cites Work

• Modeling Concordance Correlation via GEE to Evaluate Reproducibility
• Overall Concordance Correlation Coefficient for Evaluating Agreement Among Multiple Observers
• A Concordance Correlation Coefficient to Evaluate Reproducibility
• Estimating the Generalized Concordance Correlation Coefficient through Variance Components
• A Weighted Concordance Correlation Coefficient for Repeated Measurement Designs
• A Note On "A Concordance Correlation Coefficient to Evaluate Reproducibility"
• Statistical Methods in Assessing Agreement
• Random marginal agreement coefficients: rethinking the adjustment for chance when measuring agreement

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