svReg: Structural varying‐coefficient regression to differentiate how regional brain atrophy affects motor impairment for Huntington disease severity groups

DOI10.1002/bimj.202000312zbMath1523.62141arXiv2007.06076OpenAlexW3154413089MaRDI QIDQ6091669

Samuel Müller, Tanya P. Garcia, Rakheon Kim

Publication date: 27 November 2023

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2007.06076

zbMATH Keywords

variable selectioninteraction modelHuntington diseasepliable Lasso (pLasso)structural varying-coefficient regression

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• A lasso for hierarchical interactions
• Cox regression with exclusion frequency-based weights to identify neuroimaging markers relevant to Huntington's disease onset
• Structured variable selection and estimation
• The composite absolute penalties family for grouped and hierarchical variable selection
• Tree-based varying coefficient regression for longitudinal ordinal responses
• Variable selection and estimation in high-dimensional varying-coefficient models
• Regularization and model selection with categorical predictors and effect modifiers in generalized linear models
• A Pliable Lasso
• Regularization and Variable Selection Via the Elastic Net
• Varying Index Coefficient Models
• Variable Selection in Nonparametric Varying-Coefficient Models for Analysis of Repeated Measurements
• Model Selection and Estimation in Regression with Grouped Variables

This page was built for publication: svReg: Structural varying‐coefficient regression to differentiate how regional brain atrophy affects motor impairment for Huntington disease severity groups