Further Reading
- Altman, D. G., and Bland, J. M. 1995. Absence of evidence is not evidence of absence. BMJ 311:485.
- Amrhein, V., Greenland, S., and McShane, B. 2019. Retire statistical significance. Nature 567:305–307.
- Cobb, G. 2014. Personal communication. ASA Discussion Forum, Mount Holyoke College.
- Fisher, R. A. 1925. Statistical Methods for Research Workers. Edinburgh, Scotland: Oliver and Boyd.
- Fisher, R.A. 1935. The Design of Experiments. Edinburgh, Scotland: Oliver and Boyd.
- Nahm, F. S. 2017. What the p-values really tell us. Korean Journal of Pain 30:241–242.
- Neyman, J., and Pearson, E. 1933. IX. On the problem of the most efficient tests of statistical hypotheses. Philosophical Transactions of the Royal Society, London, Ser A 231:289–337.
- Trafimow, D., and Marks, M. 2015. Editorial. Basic and Applied Social Psychology 37:1–2.
- Wasserstein, R. L., and Lazar, N. A. 2016. The ASA’s statement on p-values: context, process, and purpose. The American Statistician 70:129–133.
- Wasserstein, R. L., Schirm, A. L., and Lazar, N. A. (eds). 2019. Statistical inference in the 21st century: a world beyond p < 0.05. The American Statistician 73(sup1):1–401.
- Yates, F. 1951. The influence of “statistical methods for research workers” on the development of the science of statistics. Journal of the American Statistical Association 46:19–34.