Bonferroni correction method allows you to calculate p values as you normally would but says that if you make n comparisons in the trial, your criterion for significance should be p < 0.05/n. This lowers the chances of a false positive to what you’d see from making only one comparison at p < 0.05. However, as you can imagine, this reduces statistical power, since you’re demanding much stronger correlations before you conclude they’re statistically significant.
