Theiss Bendixen
@theissbendixen.bsky.social
27 followers 57 following 14 posts
Data science & Bayes at Novo Nordisk | Author of "The Data Analyst's Guide to Cause and Effect" (Sage, 2026) www.theissbendixen.com
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theissbendixen.bsky.social
Final manuscript submitted to the publisher! 📚
theissbendixen.bsky.social
Seems analogous to how, in the missing data literature, reasonable folks recommend a complete case analysis alongside any fancy imputation? Can be useful to see what the adjustment is doing descriptively, or even in terms of broader sensitivity/robustness checks ("totality of evidence" and all that)
Reposted by Theiss Bendixen
kertviele.bsky.social
Other applications of hierarchical models here for borrowing across different regions of the world.

cdn.who.int/media/docs/d...
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theissbendixen.bsky.social
Don't remember having seen Dirichlet processes used this way, any chance you could point to a rationale and/or implementation? Thanks!
theissbendixen.bsky.social
Added a small section on tau
theissbendixen.bsky.social
Depends on the model, of course, but with a simple post ~ pre + treatment, I don't immediately see why you couldn't put an informative prior on pre (and/or treatment, given relevant data)?
theissbendixen.bsky.social
Sure, I think you could just borrow information for the controls on the raw scale?
theissbendixen.bsky.social
"Being Bayesian in a Frequentist World"

New post on "Bayesian dynamic borrowing" in R 📚

Link 👇
theissbendixen.bsky.social
Final manuscript submitted to the publisher! 📚