Lasai Barreñada, "Lasso"
@lasaibarrenada.bsky.social
Learning to research less but better at
KU Leuven. Statistics and models for medicine.
KU Leuven. Statistics and models for medicine.
Reposted by Lasai Barreñada, "Lasso"
In our latest work, we show that risk estimates for patients are HUGELY uncertain due to model, data, and population uncertainty. Even for well performing models (c statistic, calibration, utility) based on large N.
@laure_wynants @ESteyerberg @lasaibarrenada.bsky.social
arxiv.org/abs/2506.17141
@laure_wynants @ESteyerberg @lasaibarrenada.bsky.social
arxiv.org/abs/2506.17141
The fundamental problem of risk prediction for individuals: health AI, uncertainty, and personalized medicine
Background: Clinical prediction models for a health condition are commonly evaluated regarding performance for a population, although decisions are made for individuals. The classic view relates uncer...
arxiv.org
August 29, 2025 at 8:27 AM
In our latest work, we show that risk estimates for patients are HUGELY uncertain due to model, data, and population uncertainty. Even for well performing models (c statistic, calibration, utility) based on large N.
@laure_wynants @ESteyerberg @lasaibarrenada.bsky.social
arxiv.org/abs/2506.17141
@laure_wynants @ESteyerberg @lasaibarrenada.bsky.social
arxiv.org/abs/2506.17141
Reposted by Lasai Barreñada, "Lasso"
What a great day yesterday! 🎉 Dr. Shan Gao and Dr. Elena Albu successfully defended their PhDs on the dynamic prediction of CLABSI using EHR data. A huge milestone after four years of dedicated research!
April 2, 2025 at 9:23 AM
What a great day yesterday! 🎉 Dr. Shan Gao and Dr. Elena Albu successfully defended their PhDs on the dynamic prediction of CLABSI using EHR data. A huge milestone after four years of dedicated research!
Reposted by Lasai Barreñada, "Lasso"
PROBAST+AI is out! A risk of bias tool for prediction models developed using any kind of analytical approach (stats/ml/ai/ds)
Really proud of this collaboration with many prediction model experts around the world
www.bmj.com/content/388/...
Really proud of this collaboration with many prediction model experts around the world
www.bmj.com/content/388/...
March 24, 2025 at 11:16 AM
PROBAST+AI is out! A risk of bias tool for prediction models developed using any kind of analytical approach (stats/ml/ai/ds)
Really proud of this collaboration with many prediction model experts around the world
www.bmj.com/content/388/...
Really proud of this collaboration with many prediction model experts around the world
www.bmj.com/content/388/...
I will be presenting our recent work on individual risk estimation uncertainty at ENAR in New Orleans. Come say hi!
Work with @benvancalster.bsky.social @laurewynants.bsky.social #DoranneThomassen #EwoutSteyerberg
Work with @benvancalster.bsky.social @laurewynants.bsky.social #DoranneThomassen #EwoutSteyerberg
March 23, 2025 at 3:35 PM
I will be presenting our recent work on individual risk estimation uncertainty at ENAR in New Orleans. Come say hi!
Work with @benvancalster.bsky.social @laurewynants.bsky.social #DoranneThomassen #EwoutSteyerberg
Work with @benvancalster.bsky.social @laurewynants.bsky.social #DoranneThomassen #EwoutSteyerberg
Reposted by Lasai Barreñada, "Lasso"
Are you a statistician or health-economist who wants to develop new methods and who is interested in evaluating the role of diagnostic & prognostic prediction models and AI? We have an opening for a PhD position at Maastricht University!
www.academictransfer.com/nl/jobs/3503...
www.academictransfer.com/nl/jobs/3503...
PhD in Epidemiology on value-of-information from validating clinical prediction models and AI
Join Maastricht University as a PhD student in Epidemiology, advancing interdisciplinary methods to ensure reliable AI in healthcare through innovative statistical and health-economic approaches. Job ...
www.academictransfer.com
March 21, 2025 at 2:44 PM
Are you a statistician or health-economist who wants to develop new methods and who is interested in evaluating the role of diagnostic & prognostic prediction models and AI? We have an opening for a PhD position at Maastricht University!
www.academictransfer.com/nl/jobs/3503...
www.academictransfer.com/nl/jobs/3503...
NEW PREPRINT 📊: We propose 3 methods to obtain flexible calibration plots while accounting for clustering:
1. Clustered Group Calibration (CG-C)
2. Two-Stage Meta-Analysis Calibration (2MA-C)
3. Mixed Model Calibration (MIX-C)
Ready-to-use R code included!
1. Clustered Group Calibration (CG-C)
2. Two-Stage Meta-Analysis Calibration (2MA-C)
3. Mixed Model Calibration (MIX-C)
Ready-to-use R code included!
March 12, 2025 at 12:07 PM
NEW PREPRINT 📊: We propose 3 methods to obtain flexible calibration plots while accounting for clustering:
1. Clustered Group Calibration (CG-C)
2. Two-Stage Meta-Analysis Calibration (2MA-C)
3. Mixed Model Calibration (MIX-C)
Ready-to-use R code included!
1. Clustered Group Calibration (CG-C)
2. Two-Stage Meta-Analysis Calibration (2MA-C)
3. Mixed Model Calibration (MIX-C)
Ready-to-use R code included!
Reposted by Lasai Barreñada, "Lasso"
Happy to share the first paper of my PhD is published☺️!
In case you like to use class imbalance corrections, maybe it is interesting. Let me know what you think!
onlinelibrary.wiley.com/doi/10.1002/...
Many thanks to @maartenvsmeden.bsky.social, @benvancalster.bsky.social, Anne, Kim and Carl !!
In case you like to use class imbalance corrections, maybe it is interesting. Let me know what you think!
onlinelibrary.wiley.com/doi/10.1002/...
Many thanks to @maartenvsmeden.bsky.social, @benvancalster.bsky.social, Anne, Kim and Carl !!
January 27, 2025 at 3:27 PM
Happy to share the first paper of my PhD is published☺️!
In case you like to use class imbalance corrections, maybe it is interesting. Let me know what you think!
onlinelibrary.wiley.com/doi/10.1002/...
Many thanks to @maartenvsmeden.bsky.social, @benvancalster.bsky.social, Anne, Kim and Carl !!
In case you like to use class imbalance corrections, maybe it is interesting. Let me know what you think!
onlinelibrary.wiley.com/doi/10.1002/...
Many thanks to @maartenvsmeden.bsky.social, @benvancalster.bsky.social, Anne, Kim and Carl !!
Time to say goodbye to the Julius center and the beautiful city of Utrecht 👋 In just 4 short months, I’ve gained invaluable experiences, connections, and good memories. Grateful for the opportunity to grow in such an inspiring place and special thanks to @maartenvsmeden.bsky.social for hosting me 💙
January 24, 2025 at 5:42 PM
Time to say goodbye to the Julius center and the beautiful city of Utrecht 👋 In just 4 short months, I’ve gained invaluable experiences, connections, and good memories. Grateful for the opportunity to grow in such an inspiring place and special thanks to @maartenvsmeden.bsky.social for hosting me 💙
Reposted by Lasai Barreñada, "Lasso"
We have two vacancies for a postdoctoral and PhD researcher at Maastricht University. They will work on the development and application of value-of-information methods for the validation of clinical risk prediction models and medical AI.
links below
links below
PhD in Epidemiology on value-of-information from validating clinical prediction models and AI
PhD in Epidemiology on value-of-information from validating clinical prediction models and AI
vacancies.maastrichtuniversity.nl
December 20, 2024 at 3:43 PM
We have two vacancies for a postdoctoral and PhD researcher at Maastricht University. They will work on the development and application of value-of-information methods for the validation of clinical risk prediction models and medical AI.
links below
links below
Reposted by Lasai Barreñada, "Lasso"
My favourite thing about the paper is this summary table
December 16, 2024 at 8:50 AM
My favourite thing about the paper is this summary table
Just out as preprint our overview of 32 performance measures for clinical prediction models.
We recommend always including: AUROC, calibration plot, a clinical utility measure and a plot of probability distributions per outcome.
Fully reproducible code in Pyhton and R: github.com/benvancalste...
We recommend always including: AUROC, calibration plot, a clinical utility measure and a plot of probability distributions per outcome.
Fully reproducible code in Pyhton and R: github.com/benvancalste...
NEW PREPRINT
A detailed overview of 32 popular predictive performance metrics for prediction models
arxiv.org/abs/2412.10288
A detailed overview of 32 popular predictive performance metrics for prediction models
arxiv.org/abs/2412.10288
December 16, 2024 at 2:28 PM
Just out as preprint our overview of 32 performance measures for clinical prediction models.
We recommend always including: AUROC, calibration plot, a clinical utility measure and a plot of probability distributions per outcome.
Fully reproducible code in Pyhton and R: github.com/benvancalste...
We recommend always including: AUROC, calibration plot, a clinical utility measure and a plot of probability distributions per outcome.
Fully reproducible code in Pyhton and R: github.com/benvancalste...
Reposted by Lasai Barreñada, "Lasso"
We've made the move across...so here’s a little thread introducing the various TRIPOD reporting guidelines to provide standards for #transparency and completeness of clinical prediction models to facilitate #reproducibility and guide #openscience
#MLSky #StatsSky #statistics #academia #EpiSky
#MLSky #StatsSky #statistics #academia #EpiSky
November 23, 2024 at 11:50 AM
We've made the move across...so here’s a little thread introducing the various TRIPOD reporting guidelines to provide standards for #transparency and completeness of clinical prediction models to facilitate #reproducibility and guide #openscience
#MLSky #StatsSky #statistics #academia #EpiSky
#MLSky #StatsSky #statistics #academia #EpiSky
Reposted by Lasai Barreñada, "Lasso"
Happy to share the first article of my PhD, which is now available as a pre-proof!
We looked at methods used to adjust existing (AI/ML) clinical prediction models to new contexts, like different hospitals, clinical domains or to a specific individual.
Curious to hear your thoughts!😃
We looked at methods used to adjust existing (AI/ML) clinical prediction models to new contexts, like different hospitals, clinical domains or to a specific individual.
Curious to hear your thoughts!😃
December 13, 2024 at 12:59 PM
Happy to share the first article of my PhD, which is now available as a pre-proof!
We looked at methods used to adjust existing (AI/ML) clinical prediction models to new contexts, like different hospitals, clinical domains or to a specific individual.
Curious to hear your thoughts!😃
We looked at methods used to adjust existing (AI/ML) clinical prediction models to new contexts, like different hospitals, clinical domains or to a specific individual.
Curious to hear your thoughts!😃
Reposted by Lasai Barreñada, "Lasso"
IMO it’s a mistake to give stats to 1st year med students. It’s not why they chose medicine & they resent it. Better to wait until they have developed some curiosity for it. I argued unsuccessfully for this during my time at UCL.
November 25, 2024 at 7:49 AM
IMO it’s a mistake to give stats to 1st year med students. It’s not why they chose medicine & they resent it. Better to wait until they have developed some curiosity for it. I argued unsuccessfully for this during my time at UCL.