Abstract
The current concerns about reproducibility have focused attention on proper use of statistics across the sciences. This gives statisticians an extraordinary opportunity to change what are widely regarded as statistical practices detrimental to the cause of good science. However, how that should be done is enormously complex, made more difficult by the balkanization of research methods and statistical traditions across scientific subdisciplines. Working within those sciences while also allying with science reform movements—operating simultaneously on the micro and macro levels—are the key to making lasting change in applied science.
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Goodman, S. N. (2019). Why is Getting Rid of P-Values So Hard? Musings on Science and Statistics. American Statistician, 73(sup1), 26–30. https://doi.org/10.1080/00031305.2018.1558111
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