In Epidemiology, evaluating the effectiveness of interventions or the impact of exposures often involves comparing groups. Cohen's d provides a standardized way to understand the magnitude of these differences, which is crucial for public health decisions. Unlike p-values, which only tell us about the statistical significance, Cohen's d tells us about the practical significance of an effect. This helps in translating research findings into actionable public health policies.
