In epidemiological studies, data quality and integrity are paramount. Outliers or influential data points can lead to misleading conclusions, affecting public health recommendations and policy decisions. By using Cook's Distance, researchers can identify and scrutinize these influential points, ensuring that the findings are robust and reliable.
