Causal Inference

Causal inference concerns designs and methods of analyses to evaluate treatments or interventions in randomized experiments and observational studies. It is central to decision making in a wide range of disciplines, including social sciences, medicine, health policy, education and economics. A main statistical framework for causal inference is the potential outcome framework. Alternative approaches, often targeted at different goals, include the causal diagram and Granger causality frameworks.

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