3 papers
stat.ME2024
Forecasting Causal Effects of Future Interventions: Confounding and Transportability Issues
Laura Forastiere, Fan Li, Michela Baccini
Recent developments in causal inference allow us to transport a causal effect of a time-fixed treatment from a randomized trial to a target population across space but within the s…
stat.ML2023
Doubly Robust Estimator for Off-Policy Evaluation with Large Action Spaces
Tatsuhiro Shimizu, Laura Forastiere
We study Off-Policy Evaluation (OPE) in contextual bandit settings with large action spaces. The benchmark estimators suffer from severe bias and variance tradeoffs. Parametric app…
stat.ME2023
Using Overlap Weights to Address Extreme Propensity Scores in Estimating Restricted Mean Counterfactual Survival Times
Zhiqiang Cao, Lama Ghazi, Claudia Mastrogiacomo +3
While the inverse probability of treatment weighting (IPTW) is a commonly used approach for treatment comparisons in observational data, the resulting estimates may be subject to b…