Assistant Professor, Case Western Reserve University (CCLCM). Staff Biostatistician, Cleveland Clinic.
Epidemiologist interested in causal inference, infectious disease, trial design
https://christopherbboyer.com/about.html
#causalsky #statssky #episky
Christopher Boyer
What I want: a handful of rigorous, randomized evaluations of AI use in science with clear protocols of use, careful measurement, and real endpoints.
What I am getting: a million sloppy studies either using AI to crawl massive publication databases or little trials reporting nonserious benchmarks.
A PhD candidate at Harvard Nutrition steps forward, head bowed. Walter Willett, dressed in full regalia, solemnly reaches into two fishbowls. One is full of slips of paper with nutrients/foods on them. The other, diseases. The random pair he withdraws is their dissertation topic. *Trumpets sound*
For longer discussion of the underlying identification assumptions and their plausibility in any real-world scenarios see our recent Epidemiology paper:
journals.lww.com/10.1097/EDE....
Big new blogpost!
My guide to data visualization, which includes a very long table of contents, tons of charts, and more.
--> Why data visualization matters and how to make charts more effective, clear, transparent, and sometimes, beautiful.
www.scientificdiscovery.dev/p/salonis-gu...
Very interesting! I became quite obsessed with negative controls/test lately 😅
I’m trying to put several methods in here: github.com/etverse/negatr
