Comparison of concordance correlation coefficient via variance components, generalized estimating equations and weighted approaches with model selection

DOI10.1016/j.csda.2014.08.005OpenAlexW2067227279MaRDI QIDQ1623739

Miao-Yu Tsai

Publication date: 23 November 2018

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

Full work available at URL: https://doi.org/10.1016/j.csda.2014.08.005

zbMATH Keywords

variance componentsgeneralized estimating equationQICconcordance correlation coefficientconditional Akaike information criterion

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) Statistical aspects of information-theoretic topics (62B10)

Related Items (1)

New model-averaged estimators of concordance correlation coefficients: simulation and application to longitudinal overdispersed Poisson data

Cites Work

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• 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
• Conditional Akaike information for mixed-effects models

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