Hosted on MSN
Improving scientific research papers: Researcher outlines top ten pitfalls and how to avoid them
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.
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 ...
The synergetic relationship between architectural design and scientific discovery tends to be rarely addressed, yet a lucrative proposition. The built environment holds immense potential in supporting ...
AI writing tools are supercharging scientific productivity, with researchers posting up to 50% more papers after adopting them. The biggest beneficiaries are scientists who don’t speak English as a ...
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 ...
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 ...
Medical research plays a vital role in advancing healthcare, improving treatment, and informing public health policies. However, it can be difficult to understand a study or whether it is trustworthy.
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results