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      50 Years of Data Science

      Journal of Computational and Graphical Statistics

      Informa UK Limited

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          Most cited references 41

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          THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS

           R Fisher (1936)
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            Power failure: why small sample size undermines the reliability of neuroscience.

            A study with low statistical power has a reduced chance of detecting a true effect, but it is less well appreciated that low power also reduces the likelihood that a statistically significant result reflects a true effect. Here, we show that the average statistical power of studies in the neurosciences is very low. The consequences of this include overestimates of effect size and low reproducibility of results. There are also ethical dimensions to this problem, as unreliable research is inefficient and wasteful. Improving reproducibility in neuroscience is a key priority and requires attention to well-established but often ignored methodological principles.
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              Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)

               Leo Breiman (2001)
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                Author and article information

                Journal
                Journal of Computational and Graphical Statistics
                Journal of Computational and Graphical Statistics
                Informa UK Limited
                1061-8600
                1537-2715
                October 12 2017
                December 19 2017
                : 26
                : 4
                : 745-766
                Article
                10.1080/10618600.2017.1384734
                © 2017

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