Why is Identifying Outliers Important in Epidemiology?
Identifying outliers is crucial for several reasons: - Detection of Errors: Outliers can indicate potential data entry errors or measurement inaccuracies. - Identifying Rare Events: They can highlight rare cases or unusual patterns that could be of clinical significance. - Improving Model Accuracy: Removing or appropriately handling outliers can enhance the accuracy of epidemiological models and predictions. - Public Health Interventions: Recognizing outliers can guide public health interventions and focus resources on areas that need attention.
