Why Use the Holm-Bonferroni Method in Epidemiology?
The Holm-Bonferroni method is particularly useful in epidemiological studies for several reasons: - Increased power: Compared to the traditional Bonferroni correction, the Holm-Bonferroni method is less conservative and thus has greater statistical power, allowing researchers to detect more true effects. - Flexibility: This method can be applied to a variety of study designs, including clinical trials, cohort studies, and case-control studies. - Control over FWER: It effectively controls the family-wise error rate, thus reducing the likelihood of false positives in studies with multiple comparisons.
