As an expert reviewer, it is sometimes necessary to ensure a paper is rejected. This can sometimes be achieved by highlighting improper statistical practice. This technical note provides guidance on how to critique the statistical analysis of neuroimaging studies to maximise the chance that the paper will be declined. We will review a series of critiques that can be applied universally to any neuroimaging paper and consider responses to potential rebuttals that reviewers might encounter from authors or editors.
what is the magnetic allure of refereeing for Elsevier journals?
Refereeing is a complicated thing. As much as you might hope that all scientists and scientific papers are honest and accurate, this is not always the case. I've refereed for several low-quality journals, not because I took any pride in the act, but because people were submitting low quality papers directly based on my work. If I don't serve as a reviewer for these kinds of papers, then I don't have an opportunity to make sure they did things correctly. And whether or not it's correct, a pile of misinformed papers can still gain traction in the larger community. This is becoming more and more the case, particularly since graduate students (in general) are becoming less and less inclined to do very deep and detailed literature reviews. Reviewing is not about supporting a journal. It's an important duty to prevent the spread of misinformation, and also to make sure that the existing work is described in a proper context. Promising to abstain from reviewing certain journals would be a great disservice to your own work and to your scientific field.
Wait. Is NIH different from NIMH?
The National Institute of Mental Health (NIMH) is one of the institutes under the umbrella National Institutes of Health (NIH). And yes, the NIMH from the cartoon movie is based on the real NIMH.
What about logical profiling based on various factors about the traveler
Exactly! We need more people to stand up and support the gradual dehumanization of everyone who isn't white and wealthy!