Despite its importance, there are limitations to risk quantification:
Data Quality: Inaccurate or incomplete data can lead to erroneous risk estimates. Confounding Factors: These are variables that can distort the true relationship between exposure and outcome. Bias: Selection bias, information bias, and recall bias can all affect the validity of risk estimates. Generalizability: Results from one population may not be applicable to another due to differences in demographics or other factors.
