Simultaneous Estimation and Variable Selection for Interval-Censored Data With Broken Adaptive Ridge Regression

DOI10.1080/01621459.2018.1537922zbMath1437.62283OpenAlexW2905070591WikidataQ98189671 ScholiaQ98189671MaRDI QIDQ3304848

Jianguo Sun, Gang Li, Hui Zhao, Qiwei Wu

Publication date: 3 August 2020

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7394486

zbMATH Keywords

variable selectionCox's proportional hazards modelinterval-censored datagrouping effectbroken adaptive ridge regression

Mathematics Subject Classification ID

Ridge regression; shrinkage estimators (Lasso) (62J07) Estimation in survival analysis and censored data (62N02)

Related Items (14)

Variable selection for generalized odds rate mixture cure models with interval-censored failure time data ⋮ Variable selection for case-cohort studies with informatively interval-censored outcomes ⋮ Scalable Algorithms for Large Competing Risks Data ⋮ 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 ⋮ A general adaptive ridge regression method for generalized linear models: an iterative re-weighting approach ⋮ Unnamed Item ⋮ Unnamed Item ⋮ Oracle inequalities for weighted group Lasso in high-dimensional misspecified Cox models ⋮ Broken adaptive ridge regression for right-censored survival data

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