Quantitative analysis in epidemiology faces several challenges: - Data Quality: Inaccurate or incomplete data can lead to biased results. - Confounding: The presence of confounding variables can distort the true relationship between exposure and outcome. - Selection Bias: Occurs when the study population is not representative of the target population. - Measurement Error: Inaccuracies in measuring exposure or outcome variables can lead to misclassification.
