Aston University biostatistician Dr. Dan Green has identified the top ten errors he commonly sees in research papers in his work as a statistical reviewer for scientific and medical journals.

Much published science and the "knowledge" resulting from it is likely wrong and sends researchers chasing false leads. Without research integrity, we don’t know what we know, so it is incumbent on ...

Researchers analysed the use of large language models in over a million pre-print and published scientific papers between 2020 and 2024, and found the largest, fastest growth in use of the AI systems ...

The number of scientific papers flagged as fraudulent has been growing. Now a new paper sheds light on how it’s being done. Researchers found loose networks of unscrupulous editors working with ...

A statistical analysis found that the number of fake journal articles being churned out by “paper mills” is doubling every year and a half. By Carl Zimmer For years, whistle-blowers have warned that ...

Karin Verspoor receives funding from the Australian Research Council, the Medical Research Future Fund, the National Health and Medical Research Council, and Elsevier BV. She is affiliated with ...

Dr Dan Green is the lead author on an article outlining the top ten common statistical errors he sees when reviewing scientific papers These include implying causation from association, poorly ...

Fraudulent scientific research is now being produced and published on a large scale, with some unethical researchers colluding with unethical editors to attain the prestige that comes with publication ...