The process of data linkage involves matching records from different datasets based on common variables, such as patient identifiers or demographic information. Advanced statistical methods and data science techniques are often employed to ensure accurate matching, even when datasets have inconsistencies or missing values. Once linked, the combined dataset can be analyzed to extract meaningful insights.
