Inaccuracy in epidemiological data can stem from various sources:
Measurement errors: Inconsistent or faulty measurement tools can lead to incorrect data. Sampling biases: Non-representative samples can skew results and affect generalizability. Data entry errors: Mistakes during data entry can introduce inaccuracies. Recall bias: Participants may not accurately remember past exposures or events. Confounding variables: Unaccounted factors can distort the relationship between exposure and outcome.
