253 citations · 669 across the 14 of their papers we have counts for
7 papers · 1 filter
Transformation-Invariant Learning of Optimal Individualized Decision Rules with Time-to-Event Outcomes
Yu Zhou, Lan Wang, Rui Song +1
In many important applications of precision medicine, the outcome of interest is time to an event (e.g., death, relapse of disease) and the primary goal is to identify the optimal…
A nonparametric doubly robust test for a continuous treatment effect
Charles R. Doss, Guangwei Weng, Lan Wang +2
The vast majority of literature on evaluating the significance of a treatment effect based on observational data has been confined to discrete treatments. These methods are not app…
High-Dimensional Quantile Regression: Convolution Smoothing and Concave Regularization
Kean Ming Tan, Lan Wang, Wen-Xin Zhou
-penalized quantile regression is widely used for analyzing high-dimensional data with heterogeneity. It is now recognized that the -penalty introduces non-negligib…
Model-Assisted Uniformly Honest Inference for Optimal Treatment Regimes in High Dimension
Yunan Wu, Lan Wang, Haoda Fu
This paper develops new tools to quantify uncertainty in optimal decision making and to gain insight into which variables one should collect information about given the potential c…
Resampling-based Confidence Intervals for Model-free Robust Inference on Optimal Treatment Regimes
Yunan Wu, Lan Wang
We propose a new procedure for inference on optimal treatment regimes in the model-free setting, which does not require to specify an outcome regression model. Existing model-free…
A Survey of Tuning Parameter Selection for High-dimensional Regression
Yunan Wu, Lan Wang
Penalized (or regularized) regression, as represented by Lasso and its variants, has become a standard technique for analyzing high-dimensional data when the number of variables su…