Several factors can influence the accuracy of an epidemiological study:
Bias: Systematic errors that can lead to incorrect estimates. Confounding: The mixing of the effect of the primary exposure with the effect of another variable. Measurement Error: Inaccurate measurement tools can lead to errors. Selection Bias: Non-representative samples can distort results.
