Penalized regression for interval-censored times of disease progression: Selection of HLA markers in psoriatic arthritis

DOI10.1111/biom.12302zbMath1419.62479OpenAlexW1830111894WikidataQ47667962 ScholiaQ47667962MaRDI QIDQ2803501

Ying Wu, Richard J. Cook

Publication date: 4 May 2016

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10012/10249

zbMATH Keywords

EM algorithmvariable selectionpenalized regressionLassoSCADinterval-censoring

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) Estimation in survival analysis and censored data (62N02)

Related Items (12)

Variable selection for generalized odds rate mixture cure models with interval-censored failure time data ⋮ Variable Selection of Interval-Censored Failure Time Data ⋮ Variable selection for case-cohort studies with informatively interval-censored outcomes ⋮ Simultaneous variable selection and estimation for joint models of longitudinal and failure time data with interval censoring ⋮ Simultaneous variable selection in regression analysis of multivariate interval‐censored data ⋮ Variable Selection for Interval‐censored Failure Time Data ⋮ A New Model-Free Feature Screening Procedure for Ultrahigh-Dimensional Interval-Censored Failure Time Data ⋮ The expectation-maximization approach for Bayesian additive Cox regression with current status data ⋮ Variable selection for nonparametric additive Cox model with interval‐censored data ⋮ Variable selection and prediction in biased samples with censored outcomes ⋮ Unnamed Item ⋮ Simultaneous Estimation and Variable Selection for Interval-Censored Data With Broken Adaptive Ridge Regression

Uses Software

• R
• glmnet

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Nearly unbiased variable selection under minimax concave penalty
• The Adaptive Lasso and Its Oracle Properties
• Regularization for Cox's proportional hazards model with NP-dimensionality
• One-step sparse estimates in nonconcave penalized likelihood models
• On the convergence properties of the EM algorithm
• Piecewise exponential models for survival data with covariates
• Heuristics of instability and stabilization in model selection
• A significance test for the lasso
• The statistical analysis of interval-censored failure time data.
• Hazard Regression for Interval-Censored Data with Penalized Spline
• A Selective Overview of Variable Selection in High Dimensional Feature Space (Invited Review Article)
• Generalized Cross-Validation as a Method for Choosing a Good Ridge Parameter
• Analysis of interval-grouped recurrent-event data using piecewise constant rate functions
• Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
• Linear Model Selection by Cross-Validation
• Regularization and Variable Selection Via the Elastic Net
• Model Selection and Estimation in Regression with Grouped Variables
• Adaptive Lasso for Cox's proportional hazards model
• Ridge Regression: Biased Estimation for Nonorthogonal Problems

This page was built for publication: Penalized regression for interval-censored times of disease progression: Selection of HLA markers in psoriatic arthritis