Variable selection with group LASSO approach: Application to Cox regression with frailty model

DOI10.1080/03610918.2019.1571605zbMath1489.62358arXiv1802.08622OpenAlexW2922309978MaRDI QIDQ5082578

Jean Claude Utazirubanda, Tomás M. León, Papa Ngom

Publication date: 21 June 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1802.08622

zbMATH Keywords

survival analysisfrailty modelprofile likelihoodgroup Lasso

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Ridge regression; shrinkage estimators (Lasso) (62J07) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Uses Software

• timereg

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• The Adaptive Lasso and Its Oracle Properties
• Cox's regression model for counting processes: A large sample study
• A block coordinate gradient descent method for regularized convex separable optimization and covariance selection
• A note on adaptive group Lasso
• Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
• Estimating the dimension of a model
• Variable selection for Cox's proportional hazards model and frailty model
• Dynamic regression models for survival data.
• Variable selection and estimation in high-dimensional varying-coefficient models
• Better Subset Regression Using the Nonnegative Garrote
• Analysis of Survival Data with Group Lasso
• The Group Lasso for Logistic Regression
• Asymptotic Statistics
• Regularization of Wavelet Approximations
• Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
• Prediction accuracy and variable selection for penalized cause‐specific hazards models
• Ridge Estimators in Logistic Regression
• On the Non-Negative Garrotte Estimator
• Model Selection and Estimation in Regression with Grouped Variables
• Ridge Regression: Biased Estimation for Nonorthogonal Problems

This page was built for publication: Variable selection with group LASSO approach: Application to Cox regression with frailty model