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Meta-assessment of bias in science

Numerous biases are believed to affect the scientific literature, but their actual prevalence across disciplines is unknown. To gain a comprehensive picture of the potential imprint of bias in science, we probed for the most commonly postulated bias-related patterns and risk factors, in a large rand...

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Bibliografiska uppgifter
I publikationen:Proc Natl Acad Sci U S A
Huvudupphovsmän: Fanelli, Daniele, Costas, Rodrigo, Ioannidis, John P. A.
Materialtyp: Artigo
Språk:Inglês
Publicerad: National Academy of Sciences 2017
Ämnen:
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC5389310/
https://ncbi.nlm.nih.gov/pubmed/28320937
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1618569114
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