High-dimensional generalized semiparametric model for longitudinal data

DOI10.1080/02331888.2021.1977304OpenAlexW3201543508MaRDI QIDQ5023861

Mohammad Arashi, M. Taavoni

Publication date: 25 January 2022

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1909.08498

zbMATH Keywords

longitudinal datageneralized estimating equationsvariable selectionmixed-effects modelhigh-dimensionSCAD penalty

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Double Machine Learning for Partially Linear Mixed-Effects Models with Repeated Measurements

Cites Work

• Unnamed Item
• Unnamed Item
• Longitudinal data analysis using generalized linear models
• Feature screening for time-varying coefficient models with ultrahigh-dimensional longitudinal data
• Random-Effects Models for Longitudinal Data
• The Adaptive Lasso and Its Oracle Properties
• Inference in semi-parametric spline mixed models for longitudinal data
• Estimating the dimension of a model
• Simultaneous variable selection and estimation in semiparametric modeling of longitudinal/clustered data
• Shrinkage estimation analysis of correlated binary data with a diverging number of parameters
• Kernel estimation in semiparametric mixed effect longitudinal modeling
• Robust estimation in generalized semiparametric mixed models for longitudinal data
• Variable selection using MM algorithms
• Penalized Generalized Estimating Equations for High-Dimensional Longitudinal Data Analysis
• Joint Variable Selection for Fixed and Random Effects in Linear Mixed-Effects Models
• Akaike's Information Criterion in Generalized Estimating Equations
• Penalized Estimating Equations
• Efficient Estimation in Marginal Partially Linear Models for Longitudinal/Clustered Data Using Splines
• Consistent Model Selection and Data-Driven Smooth Tests for Longitudinal Data in the Estimating Equations Approach
• Variable Selection for Semiparametric Mixed Models in Longitudinal Studies
• Robustified Maximum Likelihood Estimation in Generalized Partial Linear Mixed Model for Longitudinal Data
• Penalized Estimating Functions and Variable Selection in Semiparametric Regression Models
• Maximum Likelihood Algorithms for Generalized Linear Mixed Models
• Estimation in a semiparametric model for longitudinal data with unspecified dependence structure
• Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
• A Statistical View of Some Chemometrics Regression Tools
• Semiparametric Models for Longitudinal Data with Application to CD4 Cell Numbers in HIV Seroconverters
• Consistent Model Selection for Marginal Generalized Additive Model for Correlated Data
• Analysis of Longitudinal Data With Semiparametric Estimation of Covariance Function
• Regularization and Variable Selection Via the Elastic Net
• Variable Selection for Marginal Longitudinal Generalized Linear Models
• Time-varying coefficient models for joint modeling binary and continuous outcomes in longitudinal data
• New Estimation and Model Selection Procedures for Semiparametric Modeling in Longitudinal Data Analysis
• Efficient Semiparametric Marginal Estimation for Longitudinal/Clustered Data
• Tools for statistical inference. Methods for the exploration of posterior distributions and likelihood functions.

This page was built for publication: High-dimensional generalized semiparametric model for longitudinal data