Network-regularized high-dimensional Cox regression for analysis of genomic data

DOI10.5705/ss.2012.317OpenAlexW2319089352WikidataQ30990515 ScholiaQ30990515MaRDI QIDQ5248924

Rui Feng, Wei Lin, Hongzhe Li, Hokeun Sun

Publication date: 28 April 2015

Published in: Statistica Sinica (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc4142445

zbMATH Keywords

regularizationsurvival datavariable selectionnetwork analysissparsityweak oracle propertyLaplacian penalty

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (7)

Unnamed Item ⋮ Variable selection and structure identification for varying coefficient Cox models ⋮ Sparse Laplacian shrinkage for nonparametric transformation survival model ⋮ Regularized regression when covariates are linked on a network: the 3CoSE algorithm ⋮ Testing and Estimation of Social Network Dependence With Time to Event Data ⋮ Inference under Fine-Gray competing risks model with high-dimensional covariates ⋮ Network-based survival analysis to discover target genes for developing cancer immunotherapies and predicting patient survival

This page was built for publication: Network-regularized high-dimensional Cox regression for analysis of genomic data