In epidemiology, biased estimates refer to the systematic errors that result in inaccurate measures of association between exposure and outcome. Such biases can distort the true relationship, leading to incorrect conclusions. Identifying and minimizing bias is crucial for the validity and reliability of epidemiological studies.
