Data analysis in epidemiology can be challenging due to:
- Data Quality: Incomplete or inaccurate data can lead to incorrect conclusions. - Bias: Systematic errors that can affect the validity of the results. - Confounding Variables: Other factors that can influence the outcome of the study.
