Variable selection for high-dimensional quadratic Cox model with application to Alzheimer's disease
type: Item
instance of: scholarly article
title: Variable selection for high-dimensional quadratic Cox model with application to Alzheimer's disease
author: Cong Li
author: Jianguo Sun
published in: The International Journal of Biostatistics
publication date: 2024-11-12T00:00:00Z
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 7941754
zbMATH Keywords: partial likelihood
zbMATH Keywords: penalized approach
zbMATH Keywords: proportional hazards model
zbMATH Keywords: RAMP algorithm
MaRDI profile type: Publication
Wikidata QID: Q94676392
cites work: Partial likelihood
cites work: A lasso for hierarchical interactions
cites work: Interaction Screening for Ultrahigh-Dimensional Data
cites work: Model Selection for High-Dimensional Quadratic Regression via Regularization
cites work: Adaptive Lasso for Cox's proportional hazards model
cites work: Variable selection for Cox's proportional hazards model and frailty model
cites work: SICA for Cox's proportional hazards model with a diverging number of parameters
cites work: Variable selection via generalized SELO-penalized Cox regression models
cites work: A modified adaptive Lasso for identifying interactions in the Cox model with the heredity constraint
cites work: Tuning Parameter Selection in High Dimensional Penalized Likelihood
cites work: Q4864293
cites work: Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
cites work: Nearly unbiased variable selection under minimax concave penalty
cites work: A unified approach to model selection and sparse recovery using regularized least squares
cites work: Q4921683
cites work: One-step sparse estimates in nonconcave penalized likelihood models
cites work: Sure Independence Screening for Ultrahigh Dimensional Feature Space
cites work: The statistical analysis of interval-censored failure time data.
DOI: 10.1515/IJB-2019-0121
description: scientific article; zbMATH DE number 7941754