When Should I Use Bonferroni Correction? The Bonferroni correction is appropriate when a single false positive in a set of tests would be a problem. It is mainly useful when there are a fairly small number of multiple comparisons and you’re looking for one or two that might be significant. Why do we use the
How Do You Perform A Bonferroni Correction? To perform the correction, simply divide the original alpha level (most like set to 0.05) by the number of tests being performed. The output from the equation is a Bonferroni-corrected p value which will be the new threshold that needs to be reached for a single test to
How Does Multiple Testing Correction Work? Multiple testing correction adjusts the individual p-value for each gene to keep the overall error rate (or false positive rate) to less than or equal to the user-specified p-value cutoff or error rate. Why do we do multiple test corrections? Multiple testing correction adjusts the individual p-value for each
What Is The Bonferroni Test Used For? The Bonferroni test is a statistical test used to reduce the instance of a false positive. In particular, Bonferroni designed an adjustment to prevent data from incorrectly appearing to be statistically significant. How do you use Bonferroni? To perform the correction, simply divide the original alpha level (most