The average treatment effect (ATE) measures the expected difference in outcomes between a treated group and a control group in an experiment or study. Commonly used in economics, medicine, and social sciences, it helps researchers evaluate policy impacts or drug efficacy. Policymakers, data scientists, and healthcare professionals benefit by making evidence-based decisions to improve interventions.
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