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Ashley Naimi

@ashleynaimi.bsky.social
52 followers 64 following 4 posts

Professor of Epidemiology, Emory University | Associate Editor, AJE | Editorial Board, Epidemiology | Website: ainaimi.github.io

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Ashley Naimi @ashleynaimi.bsky.social · 14/07/2026
I recently wrote about how applied causal inference can align with what Feynman called "cargo cult science"; namely, when we state identification assumptions without interrogating them. I use an example from nutritional epidemiology to convey the problem: miceandtigers.substack.com/p/cargo-cult...
miceandtigers.substack.com
Cargo Cult Causal Inference
Identification is a proof; real-data analysis is an inverse problem. Reciting causal assumptions instead of interrogating them is cargo cult causal inference.
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Ashley Naimi @ashleynaimi.bsky.social · 21/05/2026
ACIC 2026 was great! Thanks to @edwardhkennedy.bsky.social, as well as Vasilis Syrgkanis (Stanford), Yuxuan Chen (UMich), and @dscharf3.bsky.social for their contributions to our symposium on CATEs in Longitudinal Data. My intro slides are ainaimi.github.io/files/presen....
ainaimi.github.io
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Reposted by Ashley Naimi
Stefanie Haustein @stefhaustein.scholcommlab.ca · 13/11/2025
Thank you for coming to my TED Talk 🎤 If you’ve read this far and still need convincing, please check out our preprint arxiv.org/abs/2511.04820 and this infographic: doi.org/10.5281/zeno... 10/10
The four-fold drain of scientific publishing: Money, Time, Trust, and Control.
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Reposted by Ashley Naimi
Data & Statistical Science for Health, LSHTM @lshtm-dash.bsky.social · 31/10/2025
📊 Next week, we'll be exploring a new #statistics modelling framework called regression by composition, with examples from growth modelling & HIV trials #healthdata 🗓️ Tuesday 4 November, 12:50-13:50 GMT 📍 LSHTM | Online Join us ⬇️ www.lshtm.ac.uk/newsevents/e...
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Reposted by Ashley Naimi
Pausal Zivference @pausalz.bsky.social · 09/10/2025
For years I had trouble following some of the discussion about confidence bands, but at ACIC this year @noahgreifer.bsky.social pointed me to a helpful paper So you don't have to be as perplexed as I once was, we have a new pre-print introducing the key ideas arxiv.org/abs/2510.07076
arxiv.org
Confidence Regions for Multiple Outcomes, Effect Modifiers, and Other Multiple Comparisons
In epidemiology, some have argued that multiple comparison corrections are not necessary as there is rarely interest in the universal null hypothesis. From a parameter estimation perspective, epidemio...
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