Simultaneous mean and covariance estimation of partially linear models for longitudinal data with missing responses and covariate measurement error

DOI10.1016/j.csda.2015.11.001zbMath1468.62162OpenAlexW2234328742MaRDI QIDQ1659463

Guoyou Qin, Jiajia Zhang, Zhong-yi Zhu

Publication date: 15 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.2015.11.001

zbMATH Keywords

longitudinal datameasurement errormissing datapartially linear models

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02)

Related Items (6)

Analysis of longitudinal data with covariate measurement error and missing responses: an improved unbiased estimating equation ⋮ Empirical likelihood inference for longitudinal data with covariate measurement errors: an application to the LEAN study ⋮ Doubly robust estimation of partially linear models for longitudinal data with dropouts and measurement error in covariates ⋮ Robust estimation in linear regression models for longitudinal data with covariate measurement errors and outliers ⋮ Variable selection for longitudinal data with high-dimensional covariates and dropouts ⋮ On the use of repeated measurement errors in linear regression models

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