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- W3107941368 abstract "We are in the middle of a so called ‘reproducibility crisis’. According to a survey in Nature, more than 70% of respondents could not reproduce the experiments of other scientists ( Baker, 2016 Baker M. 1,500 scientists lift the lid on reproducibility. Nature. 2016; 533: 452-454 Crossref PubMed Google Scholar ). Ioannidis, 2005 Ioannidis J.P. Why most published research findings are false. PLoS Med. 2005; 2: e124 Crossref PubMed Scopus (5753) Google Scholar even made the striking claim that ‘most published research findings are false’. As one can well imagine, unreproducible research produces misleading results, wastes valuable resources ( Ioannidis et al., 2009 Ioannidis J.P. Allison D.B. Ball C.A. et al. Repeatability of published microarray gene expression analyses. Nat Genet. 2009; 41: 149-155 Crossref PubMed Scopus (400) Google Scholar ; Macleod et al., 2014 Macleod M.R. Michie S. Roberts I. et al. Biomedical research: increasing value, reducing waste. Lancet. 2014; 383: 101-104 Abstract Full Text Full Text PDF PubMed Scopus (586) Google Scholar ) and helps detractors erode the general public’s confidence in science. One may argue that the inability to ‘reproduce’ is a consequence of how statistics work, and several factors can play into this including slight differences in methodology, equipment and technique, but with multiple repeated trials, similar effects would be expected." @default.
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- W3107941368 date "2021-03-01" @default.
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- W3107941368 title "Issues and pitfalls in the use of p-values" @default.
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- W3107941368 doi "https://doi.org/10.1016/j.vaa.2020.10.007" @default.
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