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Wouter van Amsterdam

@vanamsterdam.bsky.social
1.3K followers 254 following 41 posts

machine learning, causal inference, healthcare - assistant professor in dep. of Data Science Methods, Julius Center, of University Medical Center Utrecht, the Netherlands; wvanamsterdam.com

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Wouter van Amsterdam @vanamsterdam.bsky.social · 04/09/2025
Pre-print alert: Many ECG-AI models have been developed to predict a wide range of cardiovascular outcomes. But, underrepresentation of women in cardiovascular studies raises the question: Are ECG-AI models equally predictive for women and men with sex-imbalanced training data?
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Nan van Geloven @gelovennan.bsky.social · 11/08/2025
New paper in @annalsofim.bsky.social "50 ways to misinterpret clinical prediction models for treatment decisions” --> Published version: www.acpjournals.org/doi/10.7326/... --> Open access version: arxiv.org/pdf/2402.17366
acpjournals.org
The Risks of Risk Assessment: Causal Blind Spots When Using Prediction Models for Treatment Decisions | Annals of Internal Medicine
Clinicians increasingly rely on prediction models to guide treatment choices. Most prediction models, however, are developed using observational data that include some patients who have already receiv...
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bms-aned.bsky.social @bms-aned.bsky.social · 06/06/2025
BMS-ANed Spring Meeting on Thursday, June 19 Time: 13:00–18:00 (CEST) Location: Vredenburg 19, 3511 BB, Utrecht Details and registration: vvsor.nl/biometrics/e...
vvsor.nl
Hans van Houwelingen award ceremony and symposium June 19th 2025 - VVSOR
This spring, the BMS-ANed organises an in-person meeting:
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Oisín Ryan @oisinryan.bsky.social · 28/04/2025
Still some spots available in our summer school on all things causal inference, 7-11 July in Utrecht! Discounts for those working in universities and non-profits, and affordable accommodation offered by @utrechtuniversity.bsky.social summer school!
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Wouter van Amsterdam @vanamsterdam.bsky.social · 24/04/2025
Which is stronger evidence for robustness? When evaluating predictive performance of one model in several different environments (e.g. regions / hospitals): A. stable discrimination (AUC) and calibration in all environments B. stable discrimination, varying calibration vote with 👍=A; ❤️=B
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Wouter van Amsterdam @vanamsterdam.bsky.social · 23/04/2025
ask chatGPT o3 this before submitting your next paper to, I got ~10 usable comments out of it: you're a reviewer for <journal>; review the attached paper when you're either:
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Wouter van Amsterdam @vanamsterdam.bsky.social · 09/04/2025
Very excited for my first (belated) visit to #EuroCIM2025! I'm here with 3 bits of work: 1. a poster on a causal understanding of prediction model performance under shifts in 'case-mix' (or covariate / outcome drift); I show how discrimination and calibration respond differently bit.ly/ccm-arxiv
bit.ly
A causal viewpoint on prediction model performance under changes in case-mix: discrimination and calibration respond differently for prognosis and diagnosis predictions
Prediction models inform important clinical decisions, aiding in diagnosis, prognosis, and treatment planning. The predictive performance of these models is typically assessed through discrimination a...
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Wouter van Amsterdam @vanamsterdam.bsky.social · 03/03/2025
this seems pretty cool: an overview of llms for statisticians arxiv.org/abs/2502.17814
arxiv.org
An Overview of Large Language Models for Statisticians
Large Language Models (LLMs) have emerged as transformative tools in artificial intelligence (AI), exhibiting remarkable capabilities across diverse tasks such as text generation, reasoning, and decis...
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Nan van Geloven @gelovennan.bsky.social · 30/12/2024
Vacancy for a postdoc position. Improve the transparency of decision support algorithms by figuring out how we can quantify and communicate uncertainty in individual causal predictions. With Marleen Kunneman, Daniala Weir and me. Three more days to apply 👇 www.lumc.nl/en/about-lum...
lumc.nl
Postdoc Biomedical Data Scientist / Biostatistician | LUMC
In this postdoc position at LUMC, you will work on groundbreaking research that enhances the transparency and trustworthiness of decision support algorithms in healthcare. This position allows you to ...
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Wouter van Amsterdam @vanamsterdam.bsky.social · 22/12/2024
Digital twins are useful insofar as they reflect causal mechanisms Don't think a generative model ('digital twin') can inform treatment decisions just because it procudes different outputs when you give it different inputs. Doesn't matter if it's 'AI' or not.
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Wouter van Amsterdam @vanamsterdam.bsky.social · 17/12/2024
saliency maps are the new table 2 fallacy
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Wouter van Amsterdam @vanamsterdam.bsky.social · 06/12/2024
Liking this interaction with @mmbronstein.bsky.social and Denis Danilov so much I'm reposting it here
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Oisín Ryan @oisinryan.bsky.social · 04/12/2024
Interested in how to use non-experimental data to answer causal research questions? Mystified by DAGs and counterfactuals? Want to learn what Target Trial Emulation is all about? Sign up now for the 2nd edition of our summer school, 7-11 July in Utrecht, with @vanamsterdam.bsky.social & BPdeVries
utrechtsummerschool.nl
Introduction to Causal Inference and Causal Data Science | Utrecht Summer School
The course takes an interdisciplinary approach and is suitable for applied researchers across health, social and behavioural sciences.
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Wouter van Amsterdam @vanamsterdam.bsky.social · 29/10/2024
Can someone make a "science-not-politics" starter pack? Great respect for academics who are politically engaged, and yes, bsky/X are places for political discussion / news sharing. But science and politics take different parts of my brain; can we get science without political distractions?
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Wouter van Amsterdam @vanamsterdam.bsky.social · 24/10/2024
Look at @maartenvsmeden.bsky.social go, he's won the VIDI grant! (arguably the most prestigious personal grant in the Netherlands at his career stage). Congrats!
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Wouter van Amsterdam @vanamsterdam.bsky.social · 23/10/2024
Anyone else here afraid we’re enjoying a VC backed honeymoon on this platform, and that once we’ve (re-)established a valuable network, the money-making ad-serving attention-grabbing algorithms will kick in and spoil the fun?
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Wouter van Amsterdam @vanamsterdam.bsky.social · 23/10/2024
We're still accepting applications for this PhD position, send in your application by Oct 29!
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Wouter van Amsterdam @vanamsterdam.bsky.social · 21/10/2024
hahaha, "Granger Danger"
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Maarten van Smeden @maartenvsmeden.bsky.social · 21/10/2024
Created a new group replacing and updating a list I enjoyed following on the bird site. Mostly people posting on medical stats and DS/AI ICYI: go.bsky.app/ArqEz36
go.bsky.app
Medical stats/ds/ai
Join the conversation
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Wouter van Amsterdam @vanamsterdam.bsky.social · 15/10/2024
new PhD position with @maartenvsmeden.bsky.social and me! are you: - interested in the intersection of "science" and deep learning? - keen to work with electrocardiography (ECG) data - eager to learn and be part of a vibrant data science team of the UMC Utrecht? see bit.ly/3UaSN23
bit.ly
Vacancy — PhD student SciML4Medicine
PhD student SciML4Medicine: electrocardiography analysis with mathematical modeling and deep learning.
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Wouter van Amsterdam @vanamsterdam.bsky.social · 23/09/2024
Joost van Rosmalen from #umcutrecht kicking of the Causal Inference for AI meetup with his talk on using data from historical controls for trials with dynamic borrowing methods
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Wouter van Amsterdam @vanamsterdam.bsky.social · 12/09/2024
We're hosting a Causal AI meet-up with Nan van Geloven, Jesse Krijthe, @oisinryan.bsky.social and @jeremylabrecque.bsky.social - this time focussed on Health, Speakers: Joost van Rosmalen, Dimitri Rizopoulos and Doranne Thomassen University Library Utrecht USP (Boothzaal) Sep 23, 14.30-17.00
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Oisín Ryan @oisinryan.bsky.social · 08/04/2024
Want to learn how observational data can give insight into causal effects? How to specify a target trial & use prediction models for causal insight? Sign-up now for "Intro to Causal Inference and Causal Data Science", Aug 5-9 Utrecht: utrechtsummerschool.nl/courses/heal... @vanamsterdam.bsky.social
utrechtsummerschool.nl
Introduction to Causal Inference and Causal Data Science | Utrecht Summer School
The course takes an interdisciplinary approach and is suitable for applied researchers across health, social and behavioural sciences.
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Wouter van Amsterdam @vanamsterdam.bsky.social · 25/03/2024
Ever need to do many repeated analyses? e.g. power calculations, sensitivity analyses, then speed becomes a crucial! In this blog post I compare newcomers #Julia google's #JAX versus #R for logistic regression TLDR: Julia wins, ~10x faster than R vanamsterdam.github.io/posts/240308...
vanamsterdam.github.io
Wouter van Amsterdam - The need for speed, performing simulation studies in R, JAX and Julia
Wouter van Amsterdam’s academic home page
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