Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...

When researchers test several hypotheses simultaneously, the risk of false positive findings increases unless adjustments are made to account for multiplicity ...

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

Misuse of statistics in medical and sports science research is common and may lead to detrimental consequences to healthcare. Many authors, editors and peer reviewers of medical papers will not have ...