Penalized joint generalized estimating equations for longitudinal binary data
From MaRDI portal
Publication:6089746
DOI10.1002/BIMJ.202000336zbMath1523.62132OpenAlexW3184272407MaRDI QIDQ6089746
Publication date: 15 December 2023
Published in: Biometrical Journal (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/bimj.202000336
variable selectioncorrelation matrixlongitudinal binary datapenalized generalized estimating equationsjoint mean and correlation models
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Longitudinal data analysis using generalized linear models
- The Adaptive Lasso and Its Oracle Properties
- One-step sparse estimates in nonconcave penalized likelihood models
- Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
- Estimating the dimension of a model
- Nonlinear GCV and quasi-GCV for shrinkage models
- Quasi-likelihood functions
- The jackknife and bootstrap
- Shrinkage estimation analysis of correlated binary data with a diverging number of parameters
- Smooth-threshold GEE variable selection for varying coefficient partially linear models with longitudinal data
- Variable selection using MM algorithms
- Modelling and generating correlated binary variables
- Penalized Generalized Estimating Equations for High-Dimensional Longitudinal Data Analysis
- Akaike's Information Criterion in Generalized Estimating Equations
- Penalized Estimating Equations
- Consistent Model Selection and Data-Driven Smooth Tests for Longitudinal Data in the Estimating Equations Approach
- Penalized Estimating Functions and Variable Selection in Semiparametric Regression Models
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- A Statistical View of Some Chemometrics Regression Tools
- Regularization and Variable Selection Via the Elastic Net
- AN OVERVIEW ON VARIABLE SELECTION FOR LONGITUDINAL DATA
- Variable Selection in Nonparametric Varying-Coefficient Models for Analysis of Repeated Measurements
- Model Selection and Estimation in Regression with Grouped Variables
- Variable Selection for Marginal Longitudinal Generalized Linear Models
- New Estimation and Model Selection Procedures for Semiparametric Modeling in Longitudinal Data Analysis
- A new look at the statistical model identification
This page was built for publication: Penalized joint generalized estimating equations for longitudinal binary data