Model Perspective

Aug 4, 2023 · Fundamentals

Unlock Causal Insights with Python: A Practical Guide to the causalinference Package

This article introduces the Python causalinference library, explains its core CausalModel interface and key methods for propensity‑score estimation, trimming, stratification, and various treatment‑effect estimators, and demonstrates how to interpret the resulting statistical outputs.