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
You may expand the frequentist tests into an infinite number of possibilities by using priors
arxiv.org/abs/1905.03981
😎
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
You may expand the frequentist tests into an infinite number of possibilities by using priors
arxiv.org/abs/1905.03981
😎
arxiv.org/abs/1905.03981
😎
I found one journals.lww.com/ijo/fulltext...
Ascaris lumbricoides in the lacrimal passage : Indian Journal of Ophthalmology
An abstract is unavailable.
journals.lww.com
September 3, 2025 at 11:53 AM
I found one journals.lww.com/ijo/fulltext...
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
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.
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
Thanks. Interesting. On a first look, it doesn't discuss SWIGs nor front-door. Both seem relevant in the context?
This baseline context has to be defined by an ominous expert. Similarly, all results of the analysis will be taken into account by the expert to identify further actions.
OR
Causal inference is challenging.
OR
Causal inference is challenging.
August 7, 2025 at 8:50 PM
This baseline context has to be defined by an ominous expert. Similarly, all results of the analysis will be taken into account by the expert to identify further actions.
OR
Causal inference is challenging.
OR
Causal inference is challenging.
Now we are waiting for "mixed effects models in ... for causal inference"?
Would be great 🙂
Would be great 🙂
July 27, 2025 at 5:22 PM
Now we are waiting for "mixed effects models in ... for causal inference"?
Would be great 🙂
Would be great 🙂
Point us to the text book explaining statistical methods to make causal conclusions based on all available knowledge on a topic.
July 11, 2025 at 8:05 PM
Point us to the text book explaining statistical methods to make causal conclusions based on all available knowledge on a topic.