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

DOI10.1080/03610918.2021.1871923OpenAlexW3123962004MaRDI QIDQ6116464

Chao-Chun Lin, Miao-Yu Tsai

Publication date: 18 July 2023

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2021.1871923

zbMATH Keywords

variance componentsagreementmodel averagingconcordance correlation coefficientCAICCPoisson mixed-effects models

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Unnamed Item
• Unnamed Item
• A Generalized Concordance Correlation Coefficient Based on the Variance Components Generalized Linear Mixed Models for Overdispersed Count Data
• Conditional Akaike information criterion for generalized linear mixed models
• Comparison of concordance correlation coefficient via variance components, generalized estimating equations and weighted approaches with model selection
• Concordance correlation coefficients estimated by variance components for longitudinal normal and Poisson data
• Akaike's Information Criterion in Generalized Estimating Equations
• A Concordance Correlation Coefficient to Evaluate Reproducibility
• Estimating the Generalized Concordance Correlation Coefficient through Variance Components
• Model Selection: An Integral Part of Inference
• Approximate Inference in Generalized Linear Mixed Models
• Conditional Akaike information for mixed-effects models
• A NEW MEASURE OF RANK CORRELATION

This page was built for publication: New model-averaged estimators of concordance correlation coefficients: simulation and application to longitudinal overdispersed Poisson data