Causal Inference, Causality, Machine Learning, Validation, Application.
within model outputs, because they offer an effective way to validate treatment effect estimates. Many estimators can deliver analytic confidence intervals for final treatment effects. These confidence intervals correctly adjust for the reuse of data across multiple stages of estimation. When