Logistic regression error-in-covariate models for longitudinal high-dimensional covariates

DOI10.1002/STA4.246MaRDI QIDQ6541522

Seonjoo Lee, Hyung-Rae Park

Publication date: 19 May 2024

Published in: Stat (Search for Journal in Brave)

zbMATH Keywords

errors in covariateslongitudinal functional principal component analysisconditional-score equations

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• Variable selection in measurement error models
• CoCoLasso for high-dimensional error-in-variables regression
• Majorization minimization by coordinate descent for concave penalized generalized linear models
• Covariate measurement error in logistic regression
• Efficient estimation in the errors in variables model
• Dimension reduction in a semiparametric regression model with errors in covariates
• Longitudinal functional principal component analysis
• Longitudinal high-dimensional principal components analysis with application to diffusion tensor imaging of multiple sclerosis
• Spatial regression with covariate measurement error: a semiparametric approach
• Conditional Estimation for Generalized Linear Models When Covariates Are Subject‐Specific Parameters in a Mixed Model for Longitudinal Measurements
• Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
• Variable Selection in Nonparametric Classification Via Measurement Error Model Selection Likelihoods
• Variable Selection for Partially Linear Models With Measurement Errors
• Regularization and Variable Selection Via the Elastic Net
• Measurement Error in Nonlinear Models
• A Longitudinal Measurement Error Model with a Semicontinuous Covariate

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