Variable selection in semiparametric regression models for longitudinal data with informative observation times
type: Item
instance of: scholarly article
title: Variable selection in semiparametric regression models for longitudinal data with informative observation times
zbMATH Open document ID: 1547.62118
author: Omidali Aghababaei Jazi
author: Eleanor M. Pullenayegum
published in: Statistics in Medicine
publication date: 2024-10-29T00:00:00Z
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 7934947
zbMATH Keywords: informative follow-up
zbMATH Keywords: longitudinal data
zbMATH Keywords: semiparametric regression models
zbMATH Keywords: variable selection
MaRDI profile type: Publication
cites work: Joint Modeling and Analysis of Longitudinal Data with Informative Observation Times
cites work: Longitudinal data analysis using generalized linear models
cites work: Parameter Estimation in Longitudinal Studies with Outcome-Dependent Follow-Up
cites work: Estimation in regression models for longitudinal binary data with outcome-dependent follow-up
cites work: Semiparametric Models for Longitudinal Data with Application to CD4 Cell Numbers in HIV Seroconverters
cites work: A semiparametric additive regression model for longitudinal data
cites work: Semiparametric and Nonparametric Regression Analysis of Longitudinal Data
cites work: Semiparametric Regression Analysis of Longitudinal Data With Informative Observation Times
cites work: Semiparametric log-linear regression for longitudinal measurements subject to outcome-depen\-dent follow-up
cites work: New Estimation and Model Selection Procedures for Semiparametric Modeling in Longitudinal Data Analysis
cites work: Q4864293
cites work: Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
cites work: Variable selection for Cox's proportional hazards model and frailty model
cites work: The Adaptive Lasso and Its Oracle Properties
cites work: Penalized Estimating Functions and Variable Selection in Semiparametric Regression Models
cites work: Nearly unbiased variable selection under minimax concave penalty
cites work: Akaike's Information Criterion in Generalized Estimating Equations
cites work: Variable Selection in Nonparametric Varying-Coefficient Models for Analysis of Repeated Measurements
cites work: Variable Selection for Semiparametric Mixed Models in Longitudinal Studies
cites work: Penalized Estimating Equations
cites work: Consistent Model Selection for Marginal Generalized Additive Model for Correlated Data
cites work: Variable selection in semiparametric regression modeling
cites work: A Statistical View of Some Chemometrics Regression Tools
cites work: Regularization and Variable Selection Via the Elastic Net
cites work: Q4066417
cites work: Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
cites work: A Selective Overview of Variable Selection in High Dimensional Feature Space (Invited Review Article)
cites work: Variable selection using MM algorithms
cites work: Optimal smoothing in nonparametric mixed-effect models
cites work: Regularization Parameter Selections via Generalized Information Criterion
cites work: Weak convergence and empirical processes. With applications to statistics
cites work: Analysis of Semiparametric Regression Models for Repeated Outcomes in the Presence of Missing Data
cites work: Q4413072
DOI: 10.1002/SIM.9417
description: scientific article; zbMATH DE number 7934947