Statistical significance in epidemiological studies is often determined through p-values. A p-value less than a threshold (commonly 0.05) suggests that the observed effect is unlikely to be due to chance. Additionally, confidence intervals provide a range of values within which the true effect is likely to lie, offering more insight than p-values alone.
