Missing covariate data in generalized linear mixed models with distribution-free random effects

DOI10.1016/J.CSDA.2018.10.011OpenAlexW2899862313WikidataQ128995606 ScholiaQ128995606MaRDI QIDQ1727918

Li Liu, Liming Xiang

Publication date: 21 February 2019

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://hdl.handle.net/10356/105576

zbMATH Keywords

auxiliary variablepairwise likelihoodgeneralized linear mixed modelmissing at random datapenalized conditional likelihood

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12)

Uses Software

• Stata
• BayesX

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Variable selection for generalized linear mixed models by \(L_1\)-penalized estimation
• Random effect and latent variable model selection
• Examples in which misspecification of a random effects distribution reduces efficiency, and possible remedies
• Conditional inference about generalized linear mixed models
• A pairwise likelihood approach for longitudinal data with missing observations in both response and covariates
• A pairwise likelihood approach to analyzing correlated binary data
• Modeling continuous auxiliary covariate data in generalized linear mixed models using the kernel smoother
• Maximum Likelihood Analysis of Logistic Regression Models with Incomplete Covariate Data and Auxiliary Information
• Random Effects Logistic Regression Analysis with Auxiliary Covariates
• Semiparametric estimation in generalized linear mixed models with auxiliary covariates: A pairwise likelihood approach
• Semiparametric Analysis for Recurrent Event Data with Time-Dependent Covariates and Informative Censoring
• A Hybrid Pairwise Likelihood Method
• Variable Selection and Model Choice in Geoadditive Regression Models
• Asymptotic Properties of Maximum Likelihood Estimators and Likelihood Ratio Tests Under Nonstandard Conditions
• Likelihood Methods and Nonparametric Tests
• Missing Covariates in Generalized Linear Models When the Missing Data Mechanism is Non-ignorable
• Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
• Conditional Inference Functions for Mixed-Effects Models With Unspecified Random-Effects Distribution

This page was built for publication: Missing covariate data in generalized linear mixed models with distribution-free random effects