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 ...

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 ...

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 ...

Scientists are drowning in data. With millions of research papers published every year, even the most dedicated experts struggle to stay updated on the latest findings in their fields. “Scientific ...

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 ...