2 papers
stat.ME2025
Calibrating confounding strength in sensitivity models for weighting estimators: a comparative review and a new method
Jean-Baptiste Baitairian, Bernard Sebastien, Rana Jreich +2
Causal inference is only valid when its underlying assumptions are satisfied, one of the most central being the ignorability or unconfoundedness assumption. However, this hypothesi…
stat.ME2024
Sharp Bounds for Continuous-Valued Treatment Effects with Unobserved Confounders
Jean-Baptiste Baitairian, Bernard Sebastien, Rana Jreich +2
In causal inference, treatment effects are typically estimated under the ignorability, or unconfoundedness, assumption, which is often unrealistic in observational data. By relaxin…