Statistical errors refer to the discrepancies between the true value and the value obtained from a sample. These errors can arise from various sources, including sampling variability, measurement inaccuracies, and model assumptions. In epidemiology, distinguishing between different types of statistical errors is essential to ensure the accuracy and reliability of study findings.