Pierre Bauvin
@bauvinpierre.bsky.social
Data Scientist PhD 🔎 #liverdisease #obesity #preventivehealth
Causality-passionate, walking the two worlds R & Python, biostats & ML
Causality-passionate, walking the two worlds R & Python, biostats & ML
Reposted by Pierre Bauvin
Should You View Feature Engineering Through the Causal Lens?
In this week's issue of Causal Python Weekly:
- David Rohde on feature engineering from the causal and Bayesian perspecitves
...
1/
#CausalSky #EpiSky #StatSky #EconSky #MLSky
In this week's issue of Causal Python Weekly:
- David Rohde on feature engineering from the causal and Bayesian perspecitves
...
1/
#CausalSky #EpiSky #StatSky #EconSky #MLSky
November 30, 2025 at 11:21 AM
Should You View Feature Engineering Through the Causal Lens?
In this week's issue of Causal Python Weekly:
- David Rohde on feature engineering from the causal and Bayesian perspecitves
...
1/
#CausalSky #EpiSky #StatSky #EconSky #MLSky
In this week's issue of Causal Python Weekly:
- David Rohde on feature engineering from the causal and Bayesian perspecitves
...
1/
#CausalSky #EpiSky #StatSky #EconSky #MLSky
Reposted by Pierre Bauvin
This is a fairly technical but highly relevant paper on how we can model complex systems at various levels of detail without losing causal content. Think gas: instead of tracking every molecule, we can focus on big-picture properties like temperature and pressure. www.auai.org/uai2017/proc...
July 8, 2025 at 9:30 AM
This is a fairly technical but highly relevant paper on how we can model complex systems at various levels of detail without losing causal content. Think gas: instead of tracking every molecule, we can focus on big-picture properties like temperature and pressure. www.auai.org/uai2017/proc...
Reposted by Pierre Bauvin
Join us on 10th June (online or in London @lshtm-dash.bsky.social ) to hear from Matthew Sperrin talk about his work on 'Prediction under intervention: challenges and trade-offs'.More details at www.lshtm.ac.uk/newsevents/e...
Prediction under intervention: challenges and trade-offs | LSHTM
Causality and prediction are often two separate activities. In particular, prediction can be done in a way that is agnostic to underlying knowledge, mechanism or causal structure. However, it is very
www.lshtm.ac.uk
May 13, 2025 at 3:58 PM
Join us on 10th June (online or in London @lshtm-dash.bsky.social ) to hear from Matthew Sperrin talk about his work on 'Prediction under intervention: challenges and trade-offs'.More details at www.lshtm.ac.uk/newsevents/e...
Reposted by Pierre Bauvin
Wrote about the latest ultra-processed food headlines. Will these foods really kill us?? open.substack.com/pub/suzigage...
Do ultra-processed foods really shorten our lifespan? Maybe...some of them...
As we see yet more headlines about the latest edible bogeyman (sorry about that mental image), what did the study actually show? And what does ultra-processed even mean?
open.substack.com
April 28, 2025 at 4:33 PM
Wrote about the latest ultra-processed food headlines. Will these foods really kill us?? open.substack.com/pub/suzigage...
Reposted by Pierre Bauvin
"Using missingness directed acyclic graphs (m-DAGs) to guide the treatment of multivariable missing data in epidemiological studies"
Don't miss the next #CIIG seminar with @margaritamb.bsky.social on 7th April 2025 at *9am* BST!
Register at: turing-uk.zoom.us/meeting/regi...
#EpiSky #CausalSky
Don't miss the next #CIIG seminar with @margaritamb.bsky.social on 7th April 2025 at *9am* BST!
Register at: turing-uk.zoom.us/meeting/regi...
#EpiSky #CausalSky
March 26, 2025 at 7:44 PM
"Using missingness directed acyclic graphs (m-DAGs) to guide the treatment of multivariable missing data in epidemiological studies"
Don't miss the next #CIIG seminar with @margaritamb.bsky.social on 7th April 2025 at *9am* BST!
Register at: turing-uk.zoom.us/meeting/regi...
#EpiSky #CausalSky
Don't miss the next #CIIG seminar with @margaritamb.bsky.social on 7th April 2025 at *9am* BST!
Register at: turing-uk.zoom.us/meeting/regi...
#EpiSky #CausalSky
Reposted by Pierre Bauvin
The Clueless, The Hopeless, and The Hubris
You flick the switch.
statsepi.substack.com
March 12, 2025 at 9:23 AM
Reposted by Pierre Bauvin
New work in preprint!
"Performance evaluation of predictive AI models to support medical decisions: Overview and guidance".
Under the wings of the STRATOS initiative.
But @maartenvsmeden.bsky.social said it better already 😜
arxiv.org/abs/2412.10288
"Performance evaluation of predictive AI models to support medical decisions: Overview and guidance".
Under the wings of the STRATOS initiative.
But @maartenvsmeden.bsky.social said it better already 😜
arxiv.org/abs/2412.10288
Performance evaluation of predictive AI models to support medical decisions: Overview and guidance
A myriad of measures to illustrate performance of predictive artificial intelligence (AI) models have been proposed in the literature. Selecting appropriate performance measures is essential for predi...
arxiv.org
December 16, 2024 at 8:53 AM
New work in preprint!
"Performance evaluation of predictive AI models to support medical decisions: Overview and guidance".
Under the wings of the STRATOS initiative.
But @maartenvsmeden.bsky.social said it better already 😜
arxiv.org/abs/2412.10288
"Performance evaluation of predictive AI models to support medical decisions: Overview and guidance".
Under the wings of the STRATOS initiative.
But @maartenvsmeden.bsky.social said it better already 😜
arxiv.org/abs/2412.10288
Reposted by Pierre Bauvin
New working paper out today with @epiellie.bsky.social called "Do LLMs Act as Repositories of Causal Knowledge?"
Can LLMs (ie ChatGPT) build for us the causal models we need to identify an effect? There are reasons to expect they could. But can they? Well, not really, no.
arxiv.org/html/2412.10...
Can LLMs (ie ChatGPT) build for us the causal models we need to identify an effect? There are reasons to expect they could. But can they? Well, not really, no.
arxiv.org/html/2412.10...
Do LLMs Act as Repositories of Causal Knowledge?
arxiv.org
December 17, 2024 at 9:26 PM
New working paper out today with @epiellie.bsky.social called "Do LLMs Act as Repositories of Causal Knowledge?"
Can LLMs (ie ChatGPT) build for us the causal models we need to identify an effect? There are reasons to expect they could. But can they? Well, not really, no.
arxiv.org/html/2412.10...
Can LLMs (ie ChatGPT) build for us the causal models we need to identify an effect? There are reasons to expect they could. But can they? Well, not really, no.
arxiv.org/html/2412.10...