Rubin causal model

The Rubin Causal Model (RCM), developed by statistician Donald Rubin, is a framework for causal inference that provides a formal approach to understanding the effects of treatments or interventions in observational studies and experiments. The RCM is centered around the concept of "potential outcomes," which are the outcomes that would be observed for each individual under different treatment conditions. ### Key Concepts of the Rubin Causal Model: 1. **Potential Outcomes**: For each unit (e.g.