Fisher, Neyman, and Bayes at FDA.

Abstract

The wise use of statistical ideas in practice essentially requires some Bayesian thinking, in contrast to the classical rigid frequentist dogma. This dogma too often has seemed to influence the applications of statistics, even at agencies like the FDA. Greg Campbell was one of the most important advocates there for more nuanced modes of thought, especially Bayesian statistics. Because two brilliant statisticians, Ronald Fisher and Jerzy Neyman, are often credited with instilling the traditional frequentist approach in current practice, I argue that both men were actually seeking very Bayesian answers, and neither would have endorsed the rigid application of their ideas.

View Slides

Cite this paper

@article{Rubin2016FisherNA, title={Fisher, Neyman, and Bayes at FDA.}, author={Donald B. Rubin}, journal={Journal of biopharmaceutical statistics}, year={2016}, volume={26 6}, pages={1020-1024} }