9 citations · 16 across the 3 of their papers we have counts for
3 papers
stat.ME2017★ 9 cited
Collaborative-controlled LASSO for Constructing Propensity Score-based Estimators in High-Dimensional Data
Cheng Ju, Richard Wyss, Jessica M. Franklin +3
Propensity score (PS) based estimators are increasingly used for causal inference in observational studies. However, model selection for PS estimation in high-dimensional data has…
stat.AP2017★ 7 cited
Propensity score prediction for electronic healthcare databases using Super Learner and High-dimensional Propensity Score Methods
Cheng Ju, Mary Combs, Samuel D Lendle +4
The optimal learner for prediction modeling varies depending on the underlying data-generating distribution. Super Learner (SL) is a generic ensemble learning algorithm that uses c…
stat.CO2017
Scalable Collaborative Targeted Learning for High-Dimensional Data
Cheng Ju, Susan Gruber, Samuel D. Lendle +5
Robust inference of a low-dimensional parameter in a large semi-parametric model relies on external estimators of infinite-dimensional features of the distribution of the data. Typ…