Concordance correlation coefficients estimated by variance components for longitudinal normal and Poisson data

DOI10.1016/j.csda.2017.12.003zbMath1469.62153OpenAlexW2779305853MaRDI QIDQ1662171

Miao-Yu Tsai, Chao-Chun Lin

Publication date: 17 August 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.2017.12.003

zbMATH Keywords

variance componentsagreementgeneralized linear mixed-effects modelsconcordance correlation coefficientlongitudinal repeated measurements

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) Generalized linear models (logistic models) (62J12)

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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• A Generalized Concordance Correlation Coefficient Based on the Variance Components Generalized Linear Mixed Models for Overdispersed Count Data
• 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
• Approximate Inference in Generalized Linear Mixed Models

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