Research Fellow at @clscohorts.bsky.social
epidemiology, causal inference, methods, meta-science
Subscribe to the Causal Inference Interest Group: https://ciig-seminar.github.io
Georgia Tomova
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The ultimate get-out-of-jail-free card
The youngest subscriber to the Causal Inference Interest Group 🥹
Short story about statistical modeling without causal inference gone badly wrong.
Just head on the news that preschoolers play 15 minutes less on rainy days. The reporting stressed that the research was "associational" and therefore couldn't tell us why.
Huh? 1/
Psychologists doing clustering be like:
#statsmeme
Every UK Epi/biostats job:
We seek a highly-motivated, world-leading expert in machine learning, causal inference, & linked EHR data to work on the NIHR SHITE study, our unique cohort of people aged 25-34 with IBS.
You must have experience of working with linked IBS EHR data of people aged 25-34.
Georgia Tomova
Georgia Tomova
Now that's what I call a spicy opeing: Understanding mechanisms is not a research question.
Interested in doing a PhD with me in epidemiology on causal inference and triangulation? In beautiful Rotterdam no less.
www.werkenbijerasmusmc.nl/en/vacancy/1...
Pro tip: if you get to the interview stage, there WILL be a question about ice hockey
www.bmj.com/content/393/...
DON'T MISS this seminar next week. It will *not* be recorded! 👇
Tell me you don't understand Bland-Altman limits of agreement without telling me.
Authors: "93.5% (100/107) of pairs fell within 95% limits of agreement"
