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
Currently pharmacometrics and causal inference
Legacy: drug design, risk management, protein structures, protein folding, ...
https://scholar.google.com/citations?user=R3QYvdUAAAAJ
Yes! AI learned from our most recent publication. Ask it about the relation of non-linear mixed effects models and causal inference, and you will get a summary of our writing. Here, MS copilot:
January 5, 2025 at 4:12 PM
Yes! AI learned from our most recent publication. Ask it about the relation of non-linear mixed effects models and causal inference, and you will get a summary of our writing. Here, MS copilot:
Is it possible to join with a SWIG? 😏
(Mixed effects model to account for treatment confounder feedback)
(Mixed effects model to account for treatment confounder feedback)
November 10, 2024 at 8:33 AM
Is it possible to join with a SWIG? 😏
(Mixed effects model to account for treatment confounder feedback)
(Mixed effects model to account for treatment confounder feedback)