A moving average Cholesky factor model in joint mean-covariance modeling for longitudinal data

DOI10.1007/s11425-013-4608-yOpenAlexW2076568177MaRDI QIDQ2441146

Weiping Zhang, Xiaoyu Liu

Publication date: 21 March 2014

Published in: Science China. Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11425-013-4608-y

zbMATH Keywords

longitudinal datageneralized estimating equationmodeling of mean and covariance structuresmoving average factor

Mathematics Subject Classification ID

Point estimation (62F10) Generalized linear models (logistic models) (62J12)

Related Items (8)

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 ⋮ GEE analysis in joint mean-covariance model for longitudinal data ⋮ A joint mean-correlation modeling approach for longitudinal zero-inflated count data ⋮ Bayesian estimation for longitudinal data in a joint model with HPCs ⋮ Joint modeling of longitudinal proportional measurements and survival time with a cure fraction ⋮ Bayesian joint semiparametric mean-covariance modeling for longitudinal data ⋮ Quantile estimations via modified Cholesky decomposition for longitudinal single-index models

Cites Work

• Longitudinal data analysis using generalized linear models
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• Penalized Generalized Estimating Equations for High-Dimensional Longitudinal Data Analysis
• A moving average Cholesky factor model in covariance modelling for longitudinal data
• Working correlation structure misspecification, estimation and covariate design: Implications for generalised estimating equations performance
• On modelling mean-covariance structures in longitudinal studies
• Maximum likelihood estimation of generalised linear models for multivariate normal covariance matrix
• Nonparametric Estimation of Covariance Structure in Longitudinal Data
• 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

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