Imagine a short book (~200 p.) introducing Bayesian statistics in the context of clinical trials and drug development. Scope would be introductory -- sort of "your first short course on Bayes". But practical enough to be applied out of the box. What would you like to see covered in such a text? 👇

Yeah, Bayes is usually thought of as particularly useful with sparse data (because priors can do some of the work), but I think it's equally true that Bayes is useful when there's a lot of good data on e.g. a drug, because Bayes is very well-suited to exploit all that information in a principled way

Bayes is sometimes used at various stages in drug development. For instance in fancy meta-analysis: dmphillippo.github.io/multinma/ Borrowing in clinical trial analysis (worked example and some literature): theissbendixen.com/bayesian-dyn... Adaptive trials: hbiostat.org/doc/bayes/wh...

The Bayesian Workflow book is coming! statmodeling.stat.columbia.edu/2026/04/16/t...

Somewhat related to this, it turns out R.A. Fisher considered Bayes a frequentist? 🧐

Other applications of hierarchical models here for borrowing across different regions of the world. cdn.who.int/media/docs/d...

"Being Bayesian in a Frequentist World" New post on "Bayesian dynamic borrowing" in R 📚 Link 👇

Final manuscript submitted to the publisher! 📚