A regularized variable selection procedure in additive hazards model with stratified case-cohort design

DOI10.1007/S10985-017-9402-7zbMath1468.62362OpenAlexW2741152244WikidataQ38654253 ScholiaQ38654253MaRDI QIDQ725417

Ai Ni, Jianwen Cai

Publication date: 1 August 2018

Published in: Lifetime Data Analysis (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc5787409

zbMATH Keywords

survival analysisvariable selectionSCADadditive hazards modeldiverging number of parametersstratified case-cohort design

Mathematics Subject Classification ID

Ridge regression; shrinkage estimators (Lasso) (62J07) Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02)

Related Items (1)

Variable Selection for Interval‐censored Failure Time Data

Uses Software

• ElemStatLearn

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
• Exposure stratified case-cohort designs
• Robust regression: Asymptotics, conjectures and Monte Carlo
• Covariate Selection for the Semiparametric Additive Risk Model
• A case-cohort design for epidemiologic cohort studies and disease prevention trials
• Maximum likelihood identification of Gaussian autoregressive moving average models
• Semiparametric analysis of the additive risk model
• Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
• High-Dimensional Sparse Additive Hazards Regression
• Additive hazards regression for case-cohort studies
• Group variable selection via SCAD-L₂
• Variable selection for case-cohort studies with failure time outcome
• Model Selection and Estimation in Regression with Grouped Variables

This page was built for publication: A regularized variable selection procedure in additive hazards model with stratified case-cohort design