Effect size is a statistical measure that quantifies the strength and direction of the relationship between two variables. In epidemiology, effect size is crucial for understanding the magnitude of an association between an exposure and an outcome, such as the impact of smoking on lung cancer incidence. Unlike p-values, which only indicate whether an association exists, effect size provides insights into how meaningful or clinically significant the association is.
