Causal Inference, Causality, Machine Learning, Validation, Application.
would recommend Gerben’s blog which discussed this idea further. Conclusion We believe model validation is the most critical step for causal inference, because without checking the robustness of an estimate against unverified assumptions, causal estimates are invalid and biased. In addition, it is