A large sample size is essential in epidemiology for several reasons: - Increased Precision: Larger samples provide more precise estimates of population parameters, reducing the margin of error. - Generalizability: A larger sample better represents the population, making it easier to generalize the findings to the broader population. - Statistical Power: Larger sample sizes enhance the ability to detect true associations or differences, thereby increasing the statistical power of the study. - Subgroup Analysis: With more participants, researchers can perform subgroup analyses to understand the effects in different segments of the population.
