Guide to Propensity Score Matching for Causal Inference to Estimate True Impact

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 […]

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