Data imputation is the process of replacing missing data with substituted values. In the context of epidemiology, missing data can significantly affect the outcomes of research studies, clinical trials, and public health surveillance. It is crucial to handle missing data appropriately to ensure the reliability and validity of epidemiological findings.
