Several factors can influence the accuracy of data in epidemiology:
Measurement errors: These can occur due to faulty instruments, incorrect data entry, or observer bias. Sampling bias: If the sample is not representative of the population, the data may not be accurate. Recall bias: This occurs when participants do not remember past events accurately. Confounding variables: These are extraneous variables that can distort the true relationship between the variables being studied.
