Chris. Bart.
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chriba.bsky.social
Chris. Bart.
@chriba.bsky.social
Interested in data
Currently pharmacometrics and causal inference
Legacy: drug design, risk management, protein structures, protein folding, ...

https://scholar.google.com/citations?user=R3QYvdUAAAAJ
Reposted by Chris. Bart.
X/Twitter's rough full volume is around 500 total million posts every day, or 182 (and a half) billion posts per year.

By contracts, we found 11.2 million research posts in all of 2025 on there.

In other words, 0.000006% of Twitter appears to be sharing research. Basically zero.
January 8, 2026 at 1:08 PM
You may expand the frequentist tests into an infinite number of possibilities by using priors

arxiv.org/abs/1905.03981

😎
Confidence intervals with maximal average power
We propose a frequentist testing procedure that maintains a defined coverage and is optimal in the sense that it gives maximal power to detect deviations from a null hypothesis when the alternative to...
arxiv.org
November 16, 2025 at 2:57 PM
The paper proposes some of an aggregated DAG. They show that it works for backdoor adjustment. The question is whether the proposed aggregated DAG can also be used to assess independences needed for front-door.
August 24, 2025 at 4:03 PM
Thanks. Interesting. On a first look, it doesn't discuss SWIGs nor front-door. Both seem relevant in the context?
August 24, 2025 at 2:04 PM