While pooling data offers numerous advantages, it also comes with its own set of challenges:
Heterogeneity: Differences in study design, population characteristics, and measurement methods can introduce heterogeneity, complicating the analysis. Data Quality: The quality of data from different sources can vary, affecting the reliability of the pooled results. Ethical and Legal Issues: Combining data from multiple sources may raise ethical and legal concerns, especially regarding data privacy and consent.
