biostudies-literatureUnknown47(9)Martinez-Camblor PModern science frequently involves the analysis of large amount of quantitative information and the simultaneous testing of thousands or even hundreds of thousands null hypotheses. In this context, sometimes, naive deductions derived from the statistical reports substitute the rational thinking. The reproducibility crisis is a direct consequence of the misleading statistical conclusions. In this paper, the authors revisit some of the controversies on the implications derived from the statistical hypothesis testing. They focus on the role of the p-value on the massive multitesting problem and the loss of its standard probabilistic interpretation. The analogy between the hypothesis tests and the usual diagnostic process (both involve a decision-making) is used to point out someJournal of applied statistics1529-1542https://www.ebi.ac.uk/biostudies/studies/S-EPMC9042033biostudies-literatureThe role of the p-value in the multitesting problem.PMC9042033Diaz-Coto SPerez-Fernandez SMartinez-Camblor PfalseThe role of the p-value in the multitesting problem.Modern science frequently involves the analysis of large amount of quantitative information and the simultaneous testing of thousands or even hundreds of thousands null hypotheses. In this context, sometimes, naive deductions derived from the statistical reports substitute the rational thinking. The reproducibility crisis is a direct consequence of the misleading statistical conclusions. In this paper, the authors revisit some of the controversies on the implications derived from the statistical hypothesis testing. They focus on the role of the p-value on the massive multitesting problem and the loss of its standard probabilistic interpretation. The analogy between the hypothesis tests and the usual diagnostic process (both involve a decision-making) is used to point out some2020-01-01T00:00:00Z20202025-04-19T10:48:06.682Z2024-10-19T09:17:07.168ZS-EPMC90420333570758010.1080/02664763.2019.1682128