Statistical analysis is crucial in epidemiology, but it is fraught with potential pitfalls. One common issue is data dredging, where researchers test multiple hypotheses without pre-specifying them, increasing the likelihood of false-positive results. Another pitfall is p-hacking, which involves manipulating data until statistically significant results are obtained. Both practices can lead to misleading conclusions that do not hold up under closer scrutiny.
