Empirical likelihood inference for longitudinal data with covariate measurement errors: an application to the LEAN study

DOI10.1016/j.csda.2022.107553OpenAlexW3204055613MaRDI QIDQ2674494

Guoyou Qin, Jiajia Zhang, Yuexia Zhang, Zhong-yi Zhu

Publication date: 14 September 2022

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

Full work available at URL: https://arxiv.org/abs/2110.02449

zbMATH Keywords

efficiencyauxiliary random vectordistributional differencereplicate measurement errors

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• Longitudinal data analysis using generalized linear models
• Random-Effects Models for Longitudinal Data
• Efficient estimation in semivarying coefficient models for longitudinal/clustered data
• Empirical likelihood ratio confidence regions
• Empirical likelihood and general estimating equations
• Simultaneous mean and covariance estimation of partially linear models for longitudinal data with missing responses and covariate measurement error
• Analysis of longitudinal data with covariate measurement error and missing responses: an improved unbiased estimating equation
• Bounds on coverage probabilities of the empirical likelihood ratio confidence regions.
• Semiparametric regression for measurement error model with heteroscedastic error
• A novel robust approach for analysis of longitudinal data
• A moving blocks empirical likelihood method for longitudinal data
• Empirical likelihood inferences for semiparametric varying-coefficient partially linear errors-in-variables models with longitudinal data
• Empirical likelihood ratio confidence intervals for a single functional
• A Joint Model for Survival and Longitudinal Data Measured with Error
• A Joint Model for Nonlinear Mixed-Effects Models With Censoring and Covariates Measured With Error, With Application to AIDS Studies
• Expected Estimating Equations to Accommodate Covariate Measurement Error
• Multiply Robust Estimation in Regression Analysis With Missing Data
• An efficient and robust inference method based on empirical likelihood in longitudinal data analysis
• Joint Modeling of Survival and Longitudinal Data: Likelihood Approach Revisited
• Generalized empirical likelihood methods for analyzing longitudinal data
• Empirical Likelihood for a Varying Coefficient Model With Longitudinal Data
• A Joint Modelling Approach for Longitudinal Studies

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