FDR control and power analysis for high-dimensional logistic regression via Stabkoff

Ridge regression; shrinkage estimators (Lasso) (62J07) Hypothesis testing in multivariate analysis (62H15) Generalized linear models (logistic models) (62J12)

Cites Work

Unnamed Item
Unnamed Item
Unnamed Item
On asymptotically optimal confidence regions and tests for high-dimensional models
Nearly unbiased variable selection under minimax concave penalty
Kernel Knockoffs Selection for Nonparametric Additive Models
The Adaptive Lasso and Its Oracle Properties
Familywise error rate control via knockoffs
Controlling the false discovery rate via knockoffs
High-dimensional Ising model selection using \(\ell _{1}\)-regularized logistic regression
Honest variable selection in linear and logistic regression models via \(\ell _{1}\) and \(\ell _{1}+\ell _{2}\) penalization
Powerful knockoffs via minimizing reconstructability
Robust inference with knockoffs
The likelihood ratio test in high-dimensional logistic regression is asymptotically a rescaled Chi-square
Tuning parameter calibration for \(\ell_1\)-regularized logistic regression
A knockoff filter for high-dimensional selective inference
High-dimensional generalized linear models and the lasso
RANK: Large-Scale Inference With Graphical Nonlinear Knockoffs
Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
Stability Selection
Panning for Gold: ‘Model-X’ Knockoffs for High Dimensional Controlled Variable Selection
Global and Simultaneous Hypothesis Testing for High-Dimensional Logistic Regression Models
Variable Selection with Error Control: Another Look at Stability Selection
GGM Knockoff Filter: False Discovery Rate Control for Gaussian Graphical Models
A high-dimensional power analysis of the conditional randomization test and knockoffs
Deep Knockoffs
A modern maximum-likelihood theory for high-dimensional logistic regression
Regularization and Variable Selection Via the Elastic Net
Gene hunting with hidden Markov model knockoffs
Confidence Intervals for Low Dimensional Parameters in High Dimensional Linear Models
Model-Free Feature Screening and FDR Control With Knockoff Features
Metropolized Knockoff Sampling
A Scale-Free Approach for False Discovery Rate Control in Generalized Linear Models
Controlling False Discovery Rate Using Gaussian Mirrors
False Discovery Rate Control via Data Splitting