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 easyto 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.