Subgroup analysis examines treatment effects within specific patient segments, such as by age, gender, or disease severity. This statistical method helps identify which populations respond best to interventions, guiding personalized care decisions. Clinicians, researchers, and pharmaceutical developers benefit by refining therapeutic strategies, uncovering safety signals, and tailoring treatments to maximize efficacy while minimizing risks for distinct groups.
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