A Simple Method for Estimating Interactions Between a Treatment and a Large Number of Covariates

Oracle inequalities for the lasso in the Cox model

(2013) Jian Huang et al.   ANNALS OF STATISTICS

Estimating Individualized Treatment Rules Using Outcome Weighted Learning

(2012) Yingqi Zhao et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

A Unified Framework for High-Dimensional Analysis of $M$-Estimators with Decomposable Regularizers

(2012) Sahand N. Negahban et al.   STATISTICAL SCIENCE

A General Theory of Concave Regularization for High-Dimensional Sparse Estimation Problems

(2012) Cun-Hui Zhang et al.   STATISTICAL SCIENCE

Performance guarantees for individualized treatment rules

(2011) Min Qian et al.   ANNALS OF STATISTICS

Nearly unbiased variable selection under minimax concave penalty

(2010) Cun-Hui Zhang   ANNALS OF STATISTICS

Adaptive index models for marker-based risk stratification

(2010) L. Tian et al.   BIOSTATISTICS

On the conditions used to prove oracle results for the Lasso

(2009) Sara A. van de Geer et al.   Electronic Journal of Statistics

High-dimensional generalized linear models and the lasso

(2008) Sara A. van de Geer   ANNALS OF STATISTICS

The sparsity and bias of the Lasso selection in high-dimensional linear regression

(2008) Cun-Hui Zhang et al.   ANNALS OF STATISTICS

Interaction Trees with Censored Survival Data

(2008) Xiaogang Su et al.  

Interactions Between Treatment and Continuous Covariates: A Step Toward Individualizing Therapy

(2008) Patrick Royston et al.   JOURNAL OF CLINICAL ONCOLOGY