What Are Common Sources of Data Inconsistency in Cancer Studies?
Common sources of data inconsistency include heterogeneous data collection protocols, variations in diagnostic criteria, and differences in data management practices. For example, different hospitals might use different criteria for cancer staging or employ various biomarker assays. Additionally, inconsistencies can occur during data integration from multiple sources, such as merging clinical trial results with electronic health records (EHRs).