Controlling false positive rates in research and its clinical implications

Rafael SIMAS, Felipe MAESTRI, David NORMANDO

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. While reading the articles of this journal, you will find a p-value. For instance, the article by Garib et al describes the p-values for a given variable at two different moments: this p-value, also known as false-positive rate, demonstrates the probability of error when asserting that there is a difference before and after expansion. [...]

How to cite: Simas R, Maestri F, Normando D. Controlling false positive rates in research and its clinical implications Dental Press J Orthod. 2014 May-June;19(3):24-5. DOI: http://dx.doi.org/10.1590/2176-9451.19.3.024-025.ebo

Friday, April 19, 2024 16:29