The Connection Between R-Learning and Inverse-Variance Weighting for Estimation of Heterogeneous Treatment Effects

Documenti analoghi

• Differentiable Pareto-Smoothed Weighting for High-Dimensional Heterogeneous Treatment Effect Estimation
  di: Chikahara, Yoichi, et al.
  Pubblicazione: (2024)
• Multi-Study R-Learner for Estimating Heterogeneous Treatment Effects Across Studies Using Statistical Machine Learning
  di: Shyr, Cathy, et al.
  Pubblicazione: (2023)
• Hybrid Meta-learners for Estimating Heterogeneous Treatment Effects
  di: Liang, Zhongyuan, et al.
  Pubblicazione: (2025)
• A New Causal Rule Learning Approach to Interpretable Estimation of Heterogeneous Treatment Effect
  di: Wu, Ying, et al.
  Pubblicazione: (2023)
• Consistent Labeling Across Group Assignments: Variance Reduction in Conditional Average Treatment Effect Estimation
  di: Fu, Yi-Fu, et al.
  Pubblicazione: (2025)