Imputation refers to the process of replacing missing data with substituted values. In the context of Epidemiology, imputation is crucial for maintaining the validity and robustness of statistical analyses. Missing data can occur for various reasons, including non-response, data entry errors, or loss of follow-up in longitudinal studies.
