Applied Causal Inference: Methods like Propensity Score Matching and Difference-in-Differences for Real-World Data
Causal inference is at the heart of many data-driven decisions across industries. Whether it's evaluating the impact of a new drug, understanding the effectiveness of an educational program causal inference helps isolate cause-and-effect relationships from observational data. Two prominent metho