Theiss Bendixen

Data science & Bayes at Novo Nordisk | Author of 'The Data Analyst's Guide to Cause and Effect' (Sage, 2026) | Board member @giveffektivt

[Theiss Bendixen @Theiss_Bendixen]

It's alive! 🎉

𝗧𝗵𝗲 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁'𝘀 𝗚𝘂𝗶𝗱𝗲 𝘁𝗼 𝗖𝗮𝘂𝘀𝗲 𝗮𝗻𝗱 𝗘𝗳𝗳𝗲𝗰𝘁 is out -- an introduction to causal inference in practice.

The first two chapters are available for free here: https://t.co/48apEawKp2

More below 👇

[Theiss Bendixen @Theiss_Bendixen]

It's alive! 🎉

𝗧𝗵𝗲 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁'𝘀 𝗚𝘂𝗶𝗱𝗲 𝘁𝗼 𝗖𝗮𝘂𝘀𝗲 𝗮𝗻𝗱 𝗘𝗳𝗳𝗲𝗰𝘁 is out -- an introduction to causal inference in practice.

The first two chapters are available for free here: https://t.co/48apEawKp2

More below 👇

[Theiss Bendixen @Theiss_Bendixen]

Published with @SAGEPublishers

More here: https://t.co/uPw0kLe7IU

[Theiss Bendixen @Theiss_Bendixen]

It's alive! 🎉

𝗧𝗵𝗲 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁'𝘀 𝗚𝘂𝗶𝗱𝗲 𝘁𝗼 𝗖𝗮𝘂𝘀𝗲 𝗮𝗻𝗱 𝗘𝗳𝗳𝗲𝗰𝘁 is out -- an introduction to causal inference in practice.

The first two chapters are available for free here: https://t.co/48apEawKp2

More below 👇

[Theiss Bendixen @Theiss_Bendixen]

Instead, we cut to the chase and emphasize a practical workflow using step-by-step explanations and real data examples in R.

The companion website lives here
https://t.co/EBTtoESLPR and holds:

- All data and code used in the book
- Free sample chapters
- Bonus material!

[Theiss Bendixen @Theiss_Bendixen]

New blog post! 🚨

"From Bucher to Bayes:
A Brief Introduction to Bayesian Model-Based Network Meta-Analysis for Indirect Treatment Comparisons using R"

https://t.co/pltK7vUGOT

[Andrew Gelman et al. @StatModeling]

The Bayesian Workflow book is coming!
https://t.co/5TncGxxcTU

[Theiss Bendixen @Theiss_Bendixen]

https://t.co/VwBFrh5Hsq

[Theiss Bendixen @Theiss_Bendixen]

The final manuscript for this has now been submitted to the publisher (Sage's QASS series) 📚🥂

[Theiss Bendixen @Theiss_Bendixen]

Imagine a short (~100-150 pages) book-length introduction to causal inference.

This would be a very pedagogical and practical text. A sort of “your first short course on applied causal inference” kind of text.

What topics would you want such a book to cover?

1/

[Theiss Bendixen @Theiss_Bendixen]

Companion website: https://t.co/48apEawKp2

[Theiss Bendixen @Theiss_Bendixen]

@salonium @kroetscha Nice perspectives, thanks! Re. risk aversion, I'd add that drugs have been approved on the basis of Bayesian methods for decades. So some companies are happily using Bayes, and others now have to play catch up. Hopefully the guidance can help normalize Bayes more widely.

[Theiss Bendixen @Theiss_Bendixen]

https://t.co/BsW2zFPgX5

[Theiss Bendixen @Theiss_Bendixen]

"Being Bayesian in a Frequentist World"

New post on "Bayesian dynamic borrowing" in R 📚

Link 👇

[Theiss Bendixen @Theiss_Bendixen]

@yudapearl @rlmcelreath My guess is that Richard would not disagree that a decent data analysis workflow needs both Bayes and causal theory 😀

[Theiss Bendixen @Theiss_Bendixen]

@SolomonKurz @rlmcelreath @monjalexander @RohanAlexander @ajordannafa @tcarpenter216 @PhDemetri @stephenjwild @noah_greifer @rubenarslan @analisereal @NoahHaber The final manuscript for this has now been submitted to the publisher (Sage's QASS series) - thanks for helpful inputs, y'all! 📚🙌
@fusaroli @mzloteanu

[Theiss Bendixen @Theiss_Bendixen]

Imagine a short (~100-150 pages) book-length introduction to causal inference.

This would be a very pedagogical and practical text. A sort of “your first short course on applied causal inference” kind of text.

What topics would you want such a book to cover?

1/

[Theiss Bendixen @Theiss_Bendixen]

Pinging some #RStats folks @SolomonKurz @rlmcelreath @dingding_peng @monjalexander @RohanAlexander @ajordannafa @tcarpenter216 @PhDemetri @stephenjwild @noah_greifer @rubenarslan @tmorris_mrc @analisereal @NoahHaber @PHuenermund etc. Thanks in advance!

5/fin

[Richard McElreath 🐈‍⬛ @rlmcelreath]

How can we reform science? I have some ideas. But I am not sure you’ll like them, because they don’t promise much. https://t.co/kMIOKdIOQ4

[Theiss Bendixen @Theiss_Bendixen]

@SolomonKurz Dictator Game data could reasonably be modeled with an ANOVA, e.g.
https://t.co/yrCBpDXyD3