The Rubin Causal Model (RCM) is a framework for understanding causal inference that relies on the concepts of potential outcomes and counterfactuals. It provides a systematic approach to assessing the effects of treatments or interventions by comparing what actually happened with what could have happened under different circumstances. This model is crucial for estimating the average treatment effect and understanding how findings can be generalized to broader populations beyond the sample used in a study.
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