How often should we expect to be wrong? Statistical power, P values, and the expected prevalence of false discoveries

Volume: 151, Pages: 226 - 233
Published: May 1, 2018
Abstract
There is a clear perception in the literature that there is a crisis in reproducibility in the biomedical sciences. Many underlying factors contributing to the prevalence of irreproducible results have been highlighted with a focus on poor design and execution of experiments along with the misuse of statistics. While these factors certainly contribute to irreproducibility, relatively little attention outside of the specialized statistical...
Paper Details
Title
How often should we expect to be wrong? Statistical power, P values, and the expected prevalence of false discoveries
Published Date
May 1, 2018
Volume
151
Pages
226 - 233
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