2 citations · 8 across the 9 of their papers we have counts for
3 papers · 1 filter
Federated Causal Inference from Multi-Site Observational Data via Propensity Score Aggregation
Rémi Khellaf, Aurélien Bellet, Julie Josse
Causal inference typically assumes centralized access to individual-level data. Yet, in practice, data are often decentralized across multiple sites, making centralization infeasib…
Quantifying Treatment Effects: Estimating Risk Ratios in Causal Inference
Ahmed Boughdiri, Julie Josse, Erwan Scornet
Randomized Controlled Trials (RCT) are the current gold standards to empirically measure the effect of a new drug. However, they may be of limited size and resorting to complementa…
Positivity-free Policy Learning with Observational Data
Pan Zhao, Antoine Chambaz, Julie Josse +1
Policy learning utilizing observational data is pivotal across various domains, with the objective of learning the optimal treatment assignment policy while adhering to specific co…