4 papers
Federated Targeted Maximum Likelihood Estimation
Diyang Li, Fei Wang, Kyra Gan
The evidence behind a scientific or operational decision is often held by hospitals, banks, or registries that cannot pool individual observations. Cross-silo federated learning mo…
Deep Doubly Debiased Longitudinal Effect Estimation with ICE G-Computation
Wenxin Chen, Weishen Pan, Kyra Gan +1
Estimating longitudinal treatment effects is essential for sequential decision-making but is challenging due to treatment-confounder feedback. While Iterative Conditional Expectati…
Federated Causal Inference in Healthcare: Methods, Challenges, and Applications
Haoyang Li, Jie Xu, Kyra Gan +2
Federated causal inference enables multi-site treatment effect estimation without sharing individual-level data, offering a privacy-preserving solution for real-world evidence gene…
MOSIC: Model-Agnostic Optimal Subgroup Identification with Multi-Constraint for Improved Reliability
Wenxin Chen, Weishen Pan, Kyra Gan +1
Current subgroup identification methods typically follow a two-step approach: first estimate conditional average treatment effects and then apply thresholding or rule-based procedu…