Joint mean–covariance model in generalized partially linear varying coefficient models for longitudinal data

DOI10.1080/00949655.2015.1057731OpenAlexW2231283070MaRDI QIDQ5222400

Jie Mao, Zhong-yi Zhu, Guoyou Qin

Publication date: 1 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2015.1057731

zbMATH Keywords

longitudinal datageneralized estimating equationsB-splinejoint mean-covariance modelgeneralized partially linear varying coefficient model

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (6)

Semiparametric methods for incomplete longitudinal count data with an application to health and retirement study ⋮ Joint estimation for single index mean-covariance models with longitudinal data ⋮ A moving average Cholesky factor model in covariance modeling for composite quantile regression with longitudinal data ⋮ Efficient parameter estimation via modified Cholesky decomposition for quantile regression with longitudinal data ⋮ Adaptive robust estimation in joint mean–covariance regression model for bivariate longitudinal data ⋮ Two step estimations for a single-index varying-coefficient model with longitudinal data

Cites Work

• Longitudinal data analysis using generalized linear models
• Improving generalised estimating equations using quadratic inference functions
• Empirical likelihood for nonparametric parts in semiparametric varying-coefficient partially linear models
• Quantile regression in partially linear varying coefficient models
• Generalized partially linear varying-coefficient models
• Semiparametric regression for clustered data
• Modelling of covariance structures in generalised estimating equations for longitudinal data
• On modelling mean-covariance structures in longitudinal studies
• Semiparametric Regression for Clustered Data Using Generalized Estimating Equations
• Maximum likelihood estimation of generalised linear models for multivariate normal covariance matrix
• Joint mean-covariance models with applications to longitudinal data: unconstrained parameterisation
• Semiparametric Mean–Covariance Regression Analysis for Longitudinal Data
• Analysis of Longitudinal Data With Semiparametric Estimation of Covariance Function
• Semiparametric Estimation of Covariance Matrixes for Longitudinal Data
• Robust Estimation in Generalized Partial Linear Models for Clustered Data

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