One of the core challenges of data science is drawing meaningful causal conclusions from observational data. In many such cases, the goal is to estimate the true impact of a treatment or behaviour as fairly as possible. This article explores Propensity Score Matching (PSM), a statistical technique used for that very purpose. Unlike randomized experiments […]The post Guide to Propensity Score Matching for Causal Inference to Estimate True Impact appeared first on Analytics Vidhya.