Statistical significance is often misunderstood in epidemiology. A statistically significant result indicates that the observed effect is unlikely to be due to chance. However, it does not necessarily imply clinical or public health significance. An effect size may be statistically significant but too small to be of practical importance. Additionally, p-values can be affected by sample size, leading to misinterpretation of the data.
