Despite much criticism, black-or-white null-hypothesis significance testing with an arbitrary P-
value cutoff still is the standard way to report scientific findings. One obstacle to progress is …

Where Medical Statistics Meets Artificial Intelligence | New England Journal of Medicine Skip to
main content The New England Journal of Medicine homepage Advanced Search SEARCH …

Computational social science is more than just large repositories of digital data and the
computational methods needed to construct and analyse them. It also represents a …

Previous surveys of the literature have shown that reports of statistical analyses often lack
important information, causing lack of transparency and failure of reproducibility. Editors and …

A growth-mindset intervention teaches the belief that intellectual abilities can be developed.
Where does the intervention work best? Prior research examined school-level moderators …

The popularity of machine learning (ML), deep learning (DL) and artificial intelligence (AI)
has risen sharply in recent years. Despite this spike in popularity, the inner workings of ML …

Scientists rise up against statistical significance Skip to main content Thank you for visiting
nature.com. You are using a browser version with limited support for CSS. To obtain the best …

Since the second half of the twentieth century, intracranial electroencephalography (iEEG),
including both electrocorticography (ECoG) and stereo-electroencephalography (sEEG) …

This Tutorial serves as both an approachable theoretical introduction to mixed-effects
modeling and a practical introduction to how to implement mixed-effects models in R. The …

A worrying number of psychological findings are not replicable. Diagnoses of the causes of
this “replication crisis,” and recommendations to address it, have nearly exclusively focused …