Feature selection of ultrahigh-dimensional covariates with survival outcomes: a selective review
From MaRDI portal
Publication:1650703
DOI10.1007/s11766-017-3547-8zbMath1399.62178OpenAlexW2772095510WikidataQ52570644 ScholiaQ52570644MaRDI QIDQ1650703
Publication date: 18 July 2018
Published in: Applied Mathematics. Series B (English Edition) (Search for Journal in Brave)
Full work available at URL: https://europepmc.org/articles/pmc5906071
Applications of statistics to biology and medical sciences; meta analysis (62P10) Reliability and life testing (62N05)
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Uses Software
Cites Work
- Unnamed Item
- Sure independence screening in generalized linear models with NP-dimensionality
- Oracle inequalities for the lasso in the Cox model
- Regularization for Cox's proportional hazards model with NP-dimensionality
- Robust rank correlation based screening
- Principled sure independence screening for Cox models with ultra-high-dimensional covariates
- Censored cumulative residual independent screening for ultrahigh-dimensional survival data
- Conditional screening for ultra-high dimensional covariates with survival outcomes
- Variable selection for Cox's proportional hazards model and frailty model
- Quantile-adaptive model-free variable screening for high-dimensional heterogeneous data
- Univariate Shrinkage in the Cox Model for High Dimensional Data
- Censored rank independence screening for high-dimensional survival data
- Score test variable screening
- A note on path-based variable selection in the penalized proportional hazards model
- Semiparametric analysis of the additive risk model
- Survival impact index and ultrahigh‐dimensional model‐free screening with survival outcomes
- Non-asymptotic oracle inequalities for the high-dimensional cox regression via lasso
- Adaptive Lasso for Cox's proportional hazards model
- Feature screening in ultrahigh dimensional cox's model
