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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.
Add Yahoo as a preferred source to see more of our stories on Google. Assistant professor Frank Cackowski, left, and researcher Steven Zielske at Wayne State University in Detroit became suspicious of ...
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 ...
Assistant professor Frank Cackowski, left, and researcher Steven Zielske at Wayne State University in Detroit became suspicious of a paper on cancer research that was eventually retracted. Amy Sacka, ...
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 ...
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 ...
Labbé receives funding from the European Research Council. He has also received funding from the French National Research Agency (ANR), and the U.S. Office of Research Integrity. Labbé has been in ...
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