1 citations · 2 across the 2 of their papers we have counts for
2 papers
stat.ME2023★ 1 cited
Targeted Learning on Variable Importance Measure for Heterogeneous Treatment Effect
Haodong Li, Alan E Hubbard, Oliver J Hines +3
Quantifying the heterogeneity of treatment effect is important for understanding how a commercial product or medical treatment affects different population subgroups. While much of…
stat.ME2021★ 1 cited
Evaluating the Robustness of Targeted Maximum Likelihood Estimators via Realistic Simulations in Nutrition Intervention Trials
Haodong Li, Sonali Rosete, Jeremy Coyle +9
Several recently developed methods have the potential to harness machine learning in the pursuit of target quantities inspired by causal inference, including inverse weighting, dou…