A Practical Approach to Minimizing Risk from Multiplicity in Statistical Reporting

Unfortunately, P value multiplicity continues to be a pervasive threat to statistical validity in medical research. Performing many hypothesis tests, and treating them each as if they were a single hypothesis, leads to a dramatic increase in the risk of false research claims. This editorial describes a simple method for authors to avoid P value multiplicity while improving clarity of the findings for the reader.