Calibrated Bayes: The Framework You’re Already Using
If you’ve ever justified a Bayesian design to a regulator, you’ve already been practicing calibrated Bayes, even if you never called it that.
If you’ve ever justified a Bayesian design to a regulator, you’ve already been practicing calibrated Bayes, even if you never called it that.
What REBYOTA teaches us about dynamic borrowing
The FDA just gave us 25 pages on Bayesian inference in pivotal trials. The philosophical message is clear: Bayesian methods are welcome. Informative priors, borrowing from external data, direct interpretation of posterior probabilities were all explicitly endorsed. The operational message is different: pre-specify everything. Bayesian methods promise learning. Regulators demand