Hierarchical Bias-Driven Stratification for Interpretable Causal Effect Estimation

Lucile Ter-Minassian, Liran Szlak, Ehud Karavani +2

Interpretability and transparency are essential for incorporating causal effect models from observational data into policy decision-making. They can provide trust for the model in…