Asymptotic properties of GEE estimator for clustered ordinal data with high-dimensional covariates
From MaRDI portal
Publication:5875326
DOI10.1080/03610926.2021.1934029OpenAlexW3170298615MaRDI QIDQ5875326
Publication date: 3 February 2023
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2021.1934029
consistencyasymptotic normalityhigh-dimensional covariatesgeneralized estimating equations (GEE)clustered ordinal data
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Longitudinal data analysis using generalized linear models
- Random graphs with a given degree sequence
- Empirical likelihood for a varying coefficient partially linear model with diverging number of parameters
- Communication-efficient distributed estimator for generalized linear models with a diverging number of covariates
- Profile-kernel likelihood inference with diverging number of parameters
- Asymptotic behavior of likelihood methods for exponential families when the number of parameters tends to infinity
- Asymptotics with increasing dimension for robust regression with applications to the bootstrap
- Multivariate statistical modelling based on generalized linear models. With contributions by Wolfgang Hennevogl
- Asymptotics for generalized estimating equations with large cluster sizes
- On parameters of increasing dimensions
- Robust regression: Asymptotics, conjectures and Monte Carlo
- Nonconcave penalized likelihood with a diverging number of parameters.
- Shrinkage estimation analysis of correlated binary data with a diverging number of parameters
- Maximum likelihood estimation in logistic regression models with a diverging number of covariates
- Bridge estimation for generalized linear models with a diverging number of parameters
- Forward regression for Cox models with high-dimensional covariates
- Spline estimation and variable selection for single-index prediction models with diverging number of index parameters
- On the adaptive elastic net with a diverging number of parameters
- GEE analysis of clustered binary data with diverging number of covariates
- GEE for Multinomial Responses Using a Local Odds Ratios Parameterization
- Penalized Generalized Estimating Equations for High-Dimensional Longitudinal Data Analysis
- Analyzing Bivariate Ordinal Data Using a Global Odds Ratio
- Marginal Regression Models for Clustered Ordinal Measurements
- A central limit theorem in the -model for undirected random graphs with a diverging number of vertices