Treatment effect heterogeneity refers to the variation in how different individuals or groups respond to the same intervention. Rather than a single average outcome, it uncovers who benefits most, who is harmed, and under what conditions. This insight powers personalized medicine, targeted policy design, and efficient resource allocation. Clinicians, economists, and data scientists use it to tailor treatments, optimize budgets, and improve real-world impact.
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