Sex Trouble: Common pitfalls in incorporating sex/gender in medical machine learning and how to avoid them
Kendra Albert, Maggie Delano · arXiv: 2203.08227v1 · Summary page
A press kit for every paper: arXiv, journals and preprints. What is really new, a hype check (peer review, sample size, claims that go beyond the results), key sentences quoted word for word, questions to ask the authors, researchers who work on the same topic but did not sign the paper, and a glossary.