What is multipletesting.com is useful for?
Scientists from nearly all disciplines face the problem of simultaneously evaluating many hypotheses. Conducting multiple comparisons increases the likelihood that a significant proportion of associations will be false positives, clouding real discoveries. Several strategies exist to overcome the problem of multiple hypothesis testing. In our paper we provide a step-by-step description of each multiple-testing correction method with clear examples and present an easy-to-follow guide for selecting the most suitable correction technique. Our multiple testing correction tool provides the five most frequently used adjustment tools, including the Bonferroni, the Holm (step-down), the Hochberg (step-up) corrections, and allows to calculate the False Discovery Rate (FDR) and q-values.