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

Joined April 2019
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It's alive! ๐ŸŽ‰ ๐—ง๐—ต๐—ฒ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜€๐˜'๐˜€ ๐—š๐˜‚๐—ถ๐—ฑ๐—ฒ ๐˜๐—ผ ๐—–๐—ฎ๐˜‚๐˜€๐—ฒ ๐—ฎ๐—ป๐—ฑ ๐—˜๐—ณ๐—ณ๐—ฒ๐—ฐ๐˜ is out -- an introduction to causal inference in practice. The first two chapters are available for free here: theissbendixen.com/dag-book/ More below ๐Ÿ‘‡
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๐Ÿšจ New paper in iScience: "Ecological not social factors explain brain size in cephalopods" In 2017, we published the Cultural Brain Hypothesis, a model of human brain evolution. It made an unexpected prediction: non-social animals could evolve big brains too, if their ecology was rich enough. 1/
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Finally published! ๐Ÿ“š Report: sciencedirect.com/science/arโ€ฆ LSE press release: lse.ac.uk/news/ecological-faโ€ฆ @mmuthukrishna
We built the largest database to date of cephalopod species - octopuses, squids and cuttlefish - and their brains, habitats and behaviors ๐Ÿ™๐Ÿง ๐Ÿ“ˆ What did we find?๐Ÿ‘‡
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Theiss Bendixen retweeted
โ€œThe Data Analystโ€™s Guide to Cause and Effectโ€ statmodeling.stat.columbia.eโ€ฆ
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Theiss Bendixen retweeted
It's alive! ๐ŸŽ‰ ๐—ง๐—ต๐—ฒ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜€๐˜'๐˜€ ๐—š๐˜‚๐—ถ๐—ฑ๐—ฒ ๐˜๐—ผ ๐—–๐—ฎ๐˜‚๐˜€๐—ฒ ๐—ฎ๐—ป๐—ฑ ๐—˜๐—ณ๐—ณ๐—ฒ๐—ฐ๐˜ is out -- an introduction to causal inference in practice. The first two chapters are available for free here: theissbendixen.com/dag-book/ More below ๐Ÿ‘‡
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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 theissbendixen.com/dag-book and holds: - All data and code used in the book - Free sample chapters - Bonus material!
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New blog post! ๐Ÿšจ "From Bucher to Bayes: A Brief Introduction to Bayesian Model-Based Network Meta-Analysis for Indirect Treatment Comparisons using R" theissbendixen.com/mbnma/
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Theiss Bendixen retweeted
The Bayesian Workflow book is coming! statmodeling.stat.columbia.eโ€ฆ
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The final manuscript for this has now been submitted to the publisher (Sage's QASS series) ๐Ÿ“š๐Ÿฅ‚
Imagine a short (~100-150 pages) book-length introduction to causal inference. This would be a very pedagogical and practical text. A sort of โ€œyour first short course on applied causal inferenceโ€ kind of text. What topics would you want such a book to cover? 1/
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"Being Bayesian in a Frequentist World" New post on "Bayesian dynamic borrowing" in R ๐Ÿ“š Link ๐Ÿ‘‡
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Imagine a short (~100-150 pages) book-length introduction to causal inference. This would be a very pedagogical and practical text. A sort of โ€œyour first short course on applied causal inferenceโ€ kind of text. What topics would you want such a book to cover? 1/
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The final manuscript for this has now been submitted to the publisher (Sage's QASS series) - thanks for helpful inputs, y'all! ๐Ÿ“š๐Ÿ™Œ @fusaroli @mzloteanu
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