Outliers can have a substantial impact on epidemiological analyses. They can skew statistical measures like mean, variance, and correlations, leading to misleading interpretations. In epidemiology, where data accuracy is critical for understanding disease patterns and making public health decisions, sensitivity to outliers is essential.
