The model was first run with interaction terms and if these were significant the alpha value was adjusted using the Bonferroni method
to adjust for type I errors (p = .
In groups where the mutual effect was significant, Tukey and t-test with correction of degree of freedom by Bonferroni method
were used to identify the couples that their difference was significant .
All P-values were adjusted for multiple tests using the sequential Bonferroni method
b) p-Values were corrected for multiple testing using the Bonferroni method
Genome-wide significance was defined based on the LD-adjusted Bonferroni method
(Duggal et al.
1995) Multiple significance tests: the Bonferroni method
All of these differences are statistically significant, even when adjusted for multiple comparisons using the Bonferroni method
The Bonferroni method
probably should not be used to prove a null result.
The estimation of the relationship between BMI and dmfs values was based on a generalized linear model (GLM, over dispersed Poisson regression), while the sequential Bonferroni method
was used for the comparison of the estimated dmfs marginal means between BMI categories [Norusis, 2008].
Nevertheless, if the p value was adjusted by the Bonferroni method
to be set at approximately .
Comparison between sample treatments was done using analysis of variance (ANOVA) and means were separated using Bonferroni method
017, follow-up paired t tests were evaluated using the Holm's Sequential Bonferroni method
to control for Type I error.