857 citations · 880 across the 13 of their papers we have counts for
13 papers
Effects Among the Affected
Lina M. Montoya, Elvin H. Geng, Michael Valancius +2
Many interventions are both beneficial to initiate and harmful to stop. Traditionally, to determine whether to deploy that intervention in a time-limited way depends on if, on aver…
Constructing a T-test for Value Function Comparison of Individualized Treatment Regimes in the Presence of Multiple Imputation for Missing Data
Minxin Lu, Annie Green Howard, Penny Gordon-Larsen +6
Optimal individualized treatment decision-making has improved health outcomes in recent years. The value function is commonly used to evaluate the goodness of an individualized tre…
Stochastic Step-wise Feature Selection for Exponential Random Graph Models (ERGMs)
Helal El-Zaatari, Fei Yu, Michael R Kosorok
Statistical analysis of social networks provides valuable insights into complex network interactions across various scientific disciplines. However, accurate modeling of networks r…
Latent Utility Q-Learning for Preference-Adaptive Dynamic Treatment Regimes
Joshua P. Zitovsky, Yating Zou, Leslie Wilson +1
Optimizing individualized treatment sequences for patients who weigh multiple, competing outcomes differently poses a challenge for dynamic treatment regime (DTR) methods, which ty…
A Causal Inference Framework for Leveraging External Controls in Hybrid Trials
Michael Valancius, Herb Pang, Jiawen Zhu +3
We consider the challenges associated with causal inference in settings where data from a randomized trial is augmented with control data from an external source to improve efficie…
A Robust Hypothesis Test for Tree Ensemble Pruning
Daniel de Marchi, Matthew Welch, Michael Kosorok
Gradient boosted decision trees are some of the most popular algorithms in applied machine learning. They are a flexible and powerful tool that can robustly fit to any tabular data…