Data collection in epidemiology can be hampered by several challenges:
Incomplete Data: Missing data points can lead to biased results and affect the generalizability of findings. Recall Bias: When participants are asked to recall past events or exposures, their memories may be inaccurate. Selection Bias: If the sample is not representative of the population, the findings may not be applicable to the broader community.
