Controlling false positive rates in research and its clinical implications

Statistical analysis is, in fact, an error analysis. A statistical test does not guarantee reliable results, it only quantifies the probability of error of a given conclusion.1 While reading the articles of this journal, you will find a p-value. For instance, the article by Garib et al2 describes the p-values for a given variable at two different moments: this p-value, also known as false-positive rate,1 demonstrates the probability of error when asserting that there is a difference before and after expansion. […]