I . “Should proponents of EBM be concerned about understanding the Bayesian philosophy? In my opinion, no. I think we’ll gradually see Bayesian philosophy creep in to the design and analysis of clinical trials. For example, there are good Bayesian solutions, I understand, to the tricky issue of early stopping of clinical trials. But I doubt that we will see a wholesale rejection of both p-values AND confidence intervals in my lifetime. Too many people like me fail to fully understand the Bayesian paradigm for this to happen. So from a practical viewpoint, most of the medical research for the foreseeable future will be analyzed using the Frequentist paradigm.”
John Platt recently mentioned two paper on the same list.
- Steven N. Goodman. Toward Evidence-Based Medical Statistics. 1: The P Value Fallacy Annals of Internal Medicine, 15 June 1999. 130:995-1004.
- Steven N. Goodman, MD, PhD Toward Evidence-Based Medical Statistics. 2: The Bayes Factor Annals of Internal Medicine, 15 June 1999. 130:1005-1013.
I also got an email encouraging me to write about Bayesian Statistics from Bill Jefferys. He suggested Tom Loredo’s “Bayesian Inference for the Physical Sciences” (BIPS) page as a good resource.
Another good source of information is an article in the Journal of Statistics Education, which is available on the web.
- Albert, J. Teaching Inference About Proportions Using Bayes and Discrete Models (1995) Journal of Statistics Education, 3(3). Available in html format.