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 ...

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

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 ...

A new paper points to an unexpected source for scientific censorship: scientists themselves. According to the paper, published in the journal Proceedings of the National Academy of Sciences as a ...

Editor's note: All opinions, columns and letters reflect the views of the individual writer and not necessarily those of the IDS or its staffers. If you’ve ever approached a scientific research paper ...

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 ...

In Part 1 of this series, we presented evidence that a not insignificant amount of published science and the “knowledge” resulting from it is wrong. There are many reasons, including experimental ...

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 ...