Statistical analysis is crucial in understanding and mitigating false negatives. Techniques such as Receiver Operating Characteristic (ROC) curves can be used to evaluate the performance of diagnostic tests, helping to balance sensitivity and specificity. By analyzing data distributions and applying appropriate statistical models, researchers can identify patterns that may indicate potential false-negative results, allowing for corrective actions to be taken.
