Smooth-Threshold GEE Variable Selection in High-Dimensional Partially Linear Models with Longitudinal Data

DOI10.1080/03610918.2013.824589zbMath1327.62269OpenAlexW2066868984MaRDI QIDQ2943788

Ruiqin Tian, Liu Gen Xue

Publication date: 4 September 2015

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

Full work available at URL: https://doi.org/10.1080/03610918.2013.824589

zbMATH Keywords

longitudinal datageneralized estimating equationsvariable selectionpartially linear models

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20)

Related Items

Instrumental variable based variable selection for generalized linear models with endogenous covariates

Cites Work

• Longitudinal data analysis using generalized linear models
• The Adaptive Lasso and Its Oracle Properties
• Variable selection in semiparametric regression analysis for longitudinal data
• Bias-corrected GEE estimation and smooth-threshold GEE variable selection for single-index models with clustered data
• On eliminating the asymptotic bias in the quasi-least squares estimate of the correlation parameter.
• Nonconcave penalized likelihood with a diverging number of parameters.
• Least angle regression. (With discussion)
• Shrinkage estimation analysis of correlated binary data with a diverging number of parameters
• GEE analysis of clustered binary data with diverging number of covariates
• Shrinkage Tuning Parameter Selection with a Diverging number of Parameters
• Penalized high-dimensional empirical likelihood
• Variable Selection for Partially Linear Models with Randomly Censored Data
• Akaike's Information Criterion in Generalized Estimating Equations
• Consistent Model Selection and Data-Driven Smooth Tests for Longitudinal Data in the Estimating Equations Approach
• Empirical Likelihood Semiparametric Regression Analysis for Longitudinal Data
• A note on automatic variable selection using smooth-threshold estimating equations
• Semiparametric Regression for Clustered Data Using Generalized Estimating Equations
• Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
• New Estimation and Model Selection Procedures for Semiparametric Modeling in Longitudinal Data Analysis