Variable selection for survival data with a class of adaptive elastic net techniques

DOI10.1007/S11222-015-9555-8zbMath1505.62220arXiv1312.2079OpenAlexW2027401669MaRDI QIDQ294255

Md Hasinur Rahaman Khan, J. Ewart H. Shaw

Publication date: 10 June 2016

Published in: Statistics and Computing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1312.2079

zbMATH Keywords

variable selectionadaptive elastic netaftStute's weighted least squaresweighted elastic net

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Linear regression; mixed models (62J05) Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02)

Related Items (11)

\(\ell_0\)-regularized high-dimensional accelerated failure time model ⋮ Bayesian penalized Buckley-James method for high dimensional bivariate censored regression models ⋮ Survival Regression with Accelerated Failure Time Model in XGBoost ⋮ Something Borrowed, Something New: Precise Prediction of Outcomes from Diverse Genomic Profiles ⋮ Modified profile likelihood estimation for the Weibull regression models in survival analysis ⋮ Rates of convergence of the adaptive elastic net and the post-selection procedure in ultra-high dimensional sparse models ⋮ A group bridge approach for component selection in nonparametric accelerated failure time additive regression model ⋮ Stability selection for Lasso, ridge and elastic net implemented with AFT models ⋮ On dealing with censored largest observations under weighted least squares ⋮ A fast adaptive Lasso for the cox regression via safe screening rules ⋮ Robust bias estimation for Kaplan-Meier survival estimator with jackknifing

Uses Software

• AdapEnetClass
• bootstrap

Cites Work

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