CoxKnockoff: controlled feature selection for the Cox model using knockoffs

Cites Work

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Oracle inequalities for the lasso in the Cox model
Regularization for Cox's proportional hazards model with NP-dimensionality
Controlling the false discovery rate via knockoffs
The control of the false discovery rate in multiple testing under dependency.
Variable selection for Cox's proportional hazards model and frailty model
On the conditions used to prove oracle results for the Lasso
Reproducible feature selection in high-dimensional accelerated failure time models
Reproducible learning in large-scale graphical models
Robust inference with knockoffs
A knockoff filter for high-dimensional selective inference
Adapting to unknown sparsity by controlling the false discovery rate
The Dantzig Selector in Cox's Proportional Hazards Model
RANK: Large-Scale Inference With Graphical Nonlinear Knockoffs
A note on path-based variable selection in the penalized proportional hazards model
Testing and Confidence Intervals for High Dimensional Proportional Hazards Models
Estimating False Discovery Proportion Under Arbitrary Covariance Dependence
A Direct Approach to False Discovery Rates
High-Dimensional Sparse Additive Hazards Regression
Panning for Gold: ‘Model-X’ Knockoffs for High Dimensional Controlled Variable Selection
Confidence intervals for high-dimensional Cox models
L₀-Regularized Learning for High-Dimensional Additive Hazards Regression
GGM Knockoff Filter: False Discovery Rate Control for Gaussian Graphical Models
IPAD: Stable Interpretable Forecasting with Knockoffs Inference
Adaptive Lasso for Cox's proportional hazards model
Adjusting the Benjamini–Hochberg method for controlling the false discovery rate in knockoff-assisted variable selection
Model-Free Feature Screening and FDR Control With Knockoff Features
A power analysis for Model-X knockoffs with \(\ell_p\)-regularized statistics
Variable selection for high-dimensional partly linear additive Cox model with application to Alzheimer's disease

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