Nan van Geloven
@gelovennan.bsky.social
biostatistician * causal inference * causal prediction * time-to-event outcomes * observational data & trials * @LUMC_Leiden
Reposted by Nan van Geloven
Super excited for our next CIIG seminar on causal triangulation with Keling Wang 💃
See the abstract and register here:
ucl.zoom.us/meeting/regi...
See more about the CIIG and subscribe:
ciig-seminar.github.io
See the abstract and register here:
ucl.zoom.us/meeting/regi...
See more about the CIIG and subscribe:
ciig-seminar.github.io
October 8, 2026 at 1:13 PM
Super excited for our next CIIG seminar on causal triangulation with Keling Wang 💃
See the abstract and register here:
ucl.zoom.us/meeting/regi...
See more about the CIIG and subscribe:
ciig-seminar.github.io
See the abstract and register here:
ucl.zoom.us/meeting/regi...
See more about the CIIG and subscribe:
ciig-seminar.github.io
Reposted by Nan van Geloven
Interested in doing a PhD with me in epidemiology on causal inference and triangulation? In beautiful Rotterdam no less.
www.werkenbijerasmusmc.nl/en/vacancy/1...
Pro tip: if you get to the interview stage, there WILL be a question about ice hockey
www.werkenbijerasmusmc.nl/en/vacancy/1...
Pro tip: if you get to the interview stage, there WILL be a question about ice hockey
Vacature: PhD student in epidemiology to develop and apply causal triangulation
Many key questions in epidemiology are fundamentally causal. Yet, we often have to rely on assumptions that cannot be directly verified to judge whether an observed association truly reflects causalit...
www.werkenbijerasmusmc.nl
June 12, 2026 at 4:02 PM
Interested in doing a PhD with me in epidemiology on causal inference and triangulation? In beautiful Rotterdam no less.
www.werkenbijerasmusmc.nl/en/vacancy/1...
Pro tip: if you get to the interview stage, there WILL be a question about ice hockey
www.werkenbijerasmusmc.nl/en/vacancy/1...
Pro tip: if you get to the interview stage, there WILL be a question about ice hockey
Reposted by Nan van Geloven
We are hiring! We have exciting PhD opportunity to improve trustworthiness of causal inference at TU Delft, in collaboration with
@gelovennan.bsky.social
, in the Safe Causal Inference consortium. Apply now!
#PhD #CausalInference #MachineLearning #Statistics
careers.tudelft.nl/job/Delft-Ph...
@gelovennan.bsky.social
, in the Safe Causal Inference consortium. Apply now!
#PhD #CausalInference #MachineLearning #Statistics
careers.tudelft.nl/job/Delft-Ph...
PhD Position Causal Inference & Machine Learning
PhD Position Causal Inference & Machine Learning
careers.tudelft.nl
April 29, 2026 at 2:35 PM
We are hiring! We have exciting PhD opportunity to improve trustworthiness of causal inference at TU Delft, in collaboration with
@gelovennan.bsky.social
, in the Safe Causal Inference consortium. Apply now!
#PhD #CausalInference #MachineLearning #Statistics
careers.tudelft.nl/job/Delft-Ph...
@gelovennan.bsky.social
, in the Safe Causal Inference consortium. Apply now!
#PhD #CausalInference #MachineLearning #Statistics
careers.tudelft.nl/job/Delft-Ph...
Reposted by Nan van Geloven
When does associational language make sense and when does it not?
Katrina Kezios and I cover this in "How and when to use causal and associational language" with 3 suggestions for which concepts require causal language and which can be described in associational language.
Katrina Kezios and I cover this in "How and when to use causal and associational language" with 3 suggestions for which concepts require causal language and which can be described in associational language.
How and when to use causal and associational language
Deciding which concepts should be described in causal language and which should not
Research questions fall into one of three categories: descriptive, predictive, or causal.1 The past decade has seen...
www.bmj.com
February 18, 2026 at 6:39 AM
When does associational language make sense and when does it not?
Katrina Kezios and I cover this in "How and when to use causal and associational language" with 3 suggestions for which concepts require causal language and which can be described in associational language.
Katrina Kezios and I cover this in "How and when to use causal and associational language" with 3 suggestions for which concepts require causal language and which can be described in associational language.
Reposted by Nan van Geloven
Nederland warmt nog iets sneller op dan in hoge scenario's KNMI:
www.trouw.nl/duurzaamheid...
www.trouw.nl/duurzaamheid...
Live klimaat: Nederland warmt nog iets sneller op dan in hoge scenario’s KNMI
In dit liveblog volgen we de laatste ontwikkelingen over klimaatverandering en extreem weer.
www.trouw.nl
January 29, 2026 at 9:59 AM
Nederland warmt nog iets sneller op dan in hoge scenario's KNMI:
www.trouw.nl/duurzaamheid...
www.trouw.nl/duurzaamheid...
Two openings for PhD candidates:
1️⃣ Use causal inference methods for early evaluation of the downstream effect of algorithms on patient outcomes. 👉 www.lumc.nl/en/about-lum...
2️⃣ Develop methods for evaluating patient predictions under different treatment options. 👉 www.lumc.nl/en/about-lum...
1️⃣ Use causal inference methods for early evaluation of the downstream effect of algorithms on patient outcomes. 👉 www.lumc.nl/en/about-lum...
2️⃣ Develop methods for evaluating patient predictions under different treatment options. 👉 www.lumc.nl/en/about-lum...
January 28, 2026 at 8:31 PM
Two openings for PhD candidates:
1️⃣ Use causal inference methods for early evaluation of the downstream effect of algorithms on patient outcomes. 👉 www.lumc.nl/en/about-lum...
2️⃣ Develop methods for evaluating patient predictions under different treatment options. 👉 www.lumc.nl/en/about-lum...
1️⃣ Use causal inference methods for early evaluation of the downstream effect of algorithms on patient outcomes. 👉 www.lumc.nl/en/about-lum...
2️⃣ Develop methods for evaluating patient predictions under different treatment options. 👉 www.lumc.nl/en/about-lum...
Reposted by Nan van Geloven
Clinicians can enhance patient understanding by using numerical data instead of verbal probabilities, consistent denominators, absolute risk comparisons, and clear context for unfamiliar data types.
ja.ma/4pAC3zi
ja.ma/4pAC3zi
September 24, 2025 at 4:00 PM
Clinicians can enhance patient understanding by using numerical data instead of verbal probabilities, consistent denominators, absolute risk comparisons, and clear context for unfamiliar data types.
ja.ma/4pAC3zi
ja.ma/4pAC3zi
NEW PAPER
'Development and validation of an interventional prediction model for transfusion decisions in preterm infants.'
This is what makes my job awesome: not only getting to develop new statistical methods, but also to apply these w/ clinical researchers to high stake medical settings.
'Development and validation of an interventional prediction model for transfusion decisions in preterm infants.'
This is what makes my job awesome: not only getting to develop new statistical methods, but also to apply these w/ clinical researchers to high stake medical settings.
Among preterm infants with severe thrombocytopenia, this modeling study found substantial variation among individuals in predicted benefits and harms of prophylactic platelet transfusion based on their current clinical characteristics.
ja.ma/3KmMupS
ja.ma/3KmMupS
September 15, 2025 at 9:09 PM
NEW PAPER
'Development and validation of an interventional prediction model for transfusion decisions in preterm infants.'
This is what makes my job awesome: not only getting to develop new statistical methods, but also to apply these w/ clinical researchers to high stake medical settings.
'Development and validation of an interventional prediction model for transfusion decisions in preterm infants.'
This is what makes my job awesome: not only getting to develop new statistical methods, but also to apply these w/ clinical researchers to high stake medical settings.
Reposted by Nan van Geloven
In my field there is a huge enthusiasm for "AI" to provide clinical decision support when the fact of the matter is that the clinical decisions we actually have evidence to support can be modeled with rules that could be deployed on a tamagotchi.
September 3, 2025 at 3:23 PM
In my field there is a huge enthusiasm for "AI" to provide clinical decision support when the fact of the matter is that the clinical decisions we actually have evidence to support can be modeled with rules that could be deployed on a tamagotchi.
Reposted by Nan van Geloven
Happy to present on causal dynamic predictions at #ISCB46 in Basel!
Join me, @gelovennan.bsky.social, @vanamsterdam.bsky.social, and @ruthkeogh.bsky.social for the invited session “Prediction modelling meets causal inference for clinical decision making”.
📍 Mon 25 Aug, 16:00 (Biozentrum U1.111)
Join me, @gelovennan.bsky.social, @vanamsterdam.bsky.social, and @ruthkeogh.bsky.social for the invited session “Prediction modelling meets causal inference for clinical decision making”.
📍 Mon 25 Aug, 16:00 (Biozentrum U1.111)
August 22, 2025 at 6:19 AM
Happy to present on causal dynamic predictions at #ISCB46 in Basel!
Join me, @gelovennan.bsky.social, @vanamsterdam.bsky.social, and @ruthkeogh.bsky.social for the invited session “Prediction modelling meets causal inference for clinical decision making”.
📍 Mon 25 Aug, 16:00 (Biozentrum U1.111)
Join me, @gelovennan.bsky.social, @vanamsterdam.bsky.social, and @ruthkeogh.bsky.social for the invited session “Prediction modelling meets causal inference for clinical decision making”.
📍 Mon 25 Aug, 16:00 (Biozentrum U1.111)
Reposted by Nan van Geloven
Interesting discussion in today's #JournalClub! We explored "Prediction under interventions: Evaluation of counterfactual performance using longitudinal observational data" by @ruthkeogh.bsky.social & @gelovennan.bsky.social.
Whant to learn more?
Read 👉 doi.org/10.1097/EDE....
@uni-muenster.de
Whant to learn more?
Read 👉 doi.org/10.1097/EDE....
@uni-muenster.de
August 14, 2025 at 1:29 PM
Interesting discussion in today's #JournalClub! We explored "Prediction under interventions: Evaluation of counterfactual performance using longitudinal observational data" by @ruthkeogh.bsky.social & @gelovennan.bsky.social.
Whant to learn more?
Read 👉 doi.org/10.1097/EDE....
@uni-muenster.de
Whant to learn more?
Read 👉 doi.org/10.1097/EDE....
@uni-muenster.de
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
"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
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...
www.acpjournals.org
August 11, 2025 at 2:32 PM
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
"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
Reposted by Nan van Geloven
Lees het maar eens, deze afsluitende alinea in
@standaard.be over kinderen in Gaza. Lees het dan nog eens.
@standaard.be over kinderen in Gaza. Lees het dan nog eens.
August 2, 2025 at 1:08 PM
Lees het maar eens, deze afsluitende alinea in
@standaard.be over kinderen in Gaza. Lees het dan nog eens.
@standaard.be over kinderen in Gaza. Lees het dan nog eens.
Reposted by Nan van Geloven
Should statistical software that estimates causal effects also tell you the causal assumptions under which that estimate can be interpreted as causal?
I don't know but my PhD student Maurice Korf has some thoughts (and software) to get the conversation going:
academic.oup.com/ije/article/...
I don't know but my PhD student Maurice Korf has some thoughts (and software) to get the conversation going:
academic.oup.com/ije/article/...
Causal clarity in statistical software
Imagine running a simple regression in any statistical software of choice—but this time, you only get a point estimate of the regression coefficient. There
academic.oup.com
July 29, 2025 at 7:47 AM
Should statistical software that estimates causal effects also tell you the causal assumptions under which that estimate can be interpreted as causal?
I don't know but my PhD student Maurice Korf has some thoughts (and software) to get the conversation going:
academic.oup.com/ije/article/...
I don't know but my PhD student Maurice Korf has some thoughts (and software) to get the conversation going:
academic.oup.com/ije/article/...
2 days left to apply 👇
HIRING!
2 PhD openings within the “Safe Causal Inference” consortium with experts from biostatistics, computer science, math, and epidemiology.
You'll develop new methods to evaluate prediction algorithms that take the causal effect of treatments into account.
👉 www.lumc.nl/en/about-lum....
2 PhD openings within the “Safe Causal Inference” consortium with experts from biostatistics, computer science, math, and epidemiology.
You'll develop new methods to evaluate prediction algorithms that take the causal effect of treatments into account.
👉 www.lumc.nl/en/about-lum....
PhD Candidates Causal machine learning – Performance assessment of causal predictive algorithms | LUMC
Do you want to work on challenging problems within causal inference and contribute to algorithms that support treatment decisions for individual patients? As PhD candidate causal machine learning at t...
www.lumc.nl
July 14, 2025 at 6:52 PM
2 days left to apply 👇
Reposted by Nan van Geloven
We are hiring! We have an exciting PhD opportunity to improve trustworthiness of causal inference at TU Delft, in collaboration with @jeremylabrecque.bsky.social, in the Safe Causal Inference consortium. Apply now!
#PhD #CausalInference #MachineLearning #Statistics
careers.tudelft.nl/job/Delft-Ph...
#PhD #CausalInference #MachineLearning #Statistics
careers.tudelft.nl/job/Delft-Ph...
PhD Position Causal Inference & Machine Learning
PhD Position Causal Inference & Machine Learning
careers.tudelft.nl
June 23, 2025 at 10:30 AM
We are hiring! We have an exciting PhD opportunity to improve trustworthiness of causal inference at TU Delft, in collaboration with @jeremylabrecque.bsky.social, in the Safe Causal Inference consortium. Apply now!
#PhD #CausalInference #MachineLearning #Statistics
careers.tudelft.nl/job/Delft-Ph...
#PhD #CausalInference #MachineLearning #Statistics
careers.tudelft.nl/job/Delft-Ph...
HIRING!
2 PhD openings within the “Safe Causal Inference” consortium with experts from biostatistics, computer science, math, and epidemiology.
You'll develop new methods to evaluate prediction algorithms that take the causal effect of treatments into account.
👉 www.lumc.nl/en/about-lum....
2 PhD openings within the “Safe Causal Inference” consortium with experts from biostatistics, computer science, math, and epidemiology.
You'll develop new methods to evaluate prediction algorithms that take the causal effect of treatments into account.
👉 www.lumc.nl/en/about-lum....
PhD Candidates Causal machine learning – Performance assessment of causal predictive algorithms | LUMC
Do you want to work on challenging problems within causal inference and contribute to algorithms that support treatment decisions for individual patients? As PhD candidate causal machine learning at t...
www.lumc.nl
May 19, 2025 at 8:39 AM
HIRING!
2 PhD openings within the “Safe Causal Inference” consortium with experts from biostatistics, computer science, math, and epidemiology.
You'll develop new methods to evaluate prediction algorithms that take the causal effect of treatments into account.
👉 www.lumc.nl/en/about-lum....
2 PhD openings within the “Safe Causal Inference” consortium with experts from biostatistics, computer science, math, and epidemiology.
You'll develop new methods to evaluate prediction algorithms that take the causal effect of treatments into account.
👉 www.lumc.nl/en/about-lum....
Very proud of this new paper by @ilariaprosepe.bsky.social showing how you can draw causal inferences from multistate models. 👇
New paper! We propose an estimator that combines multistate model with g-computation to estimate the causal effect of treatment delay strategies.
📄 Check out the full paper here: dx.doi.org/10.1002/sim....
Thanks to my coauthors S le Cessie, H Putter and N van Geloven (@gelovennan.bsky.social)!
📄 Check out the full paper here: dx.doi.org/10.1002/sim....
Thanks to my coauthors S le Cessie, H Putter and N van Geloven (@gelovennan.bsky.social)!
Causal Multistate Models to Evaluate Treatment Delay
Multistate models allow for the study of scenarios where individuals experience different events over time. While effective for descriptive and predictive purposes, multistate models are not typicall...
dx.doi.org
April 14, 2025 at 3:42 PM
Very proud of this new paper by @ilariaprosepe.bsky.social showing how you can draw causal inferences from multistate models. 👇
Reposted by Nan van Geloven
New paper in @bmj.com. Ever been told ‘what does your DAG say?” or “show me your DAG”, or “ok draw a DAG” and not sure what that means or how to get started? Well buckle up, because Fernando Hartwig, @neilmdavies.bsky.social and I wrote an RMR on just this topic. www.bmj.com/content/388/...
Dags Yda Like Dags Mickey Oniel GIF
ALT: Dags Yda Like Dags Mickey Oniel GIF
media.tenor.com
March 26, 2025 at 3:47 PM
New paper in @bmj.com. Ever been told ‘what does your DAG say?” or “show me your DAG”, or “ok draw a DAG” and not sure what that means or how to get started? Well buckle up, because Fernando Hartwig, @neilmdavies.bsky.social and I wrote an RMR on just this topic. www.bmj.com/content/388/...
Reposted by Nan van Geloven
On the other hand
Roses are red
Violets have blue tints
You shouldn’t use euphemisms
If your goal is causal inference
Roses are red
Violets have blue tints
You shouldn’t use euphemisms
If your goal is causal inference
roses are red
you are devine
avoid use of causal language not justified by this study design
you are devine
avoid use of causal language not justified by this study design
February 14, 2025 at 8:11 PM
On the other hand
Roses are red
Violets have blue tints
You shouldn’t use euphemisms
If your goal is causal inference
Roses are red
Violets have blue tints
You shouldn’t use euphemisms
If your goal is causal inference
Reposted by Nan van Geloven
Rdatasets is a collection of 2300 free and documented datasets in CSV format. It's a great resource for teaching and exploration!
The new `get_dataset()` function from the {marginaleffects} 📦 allows you to search and load them directly in #Rstats.
vincentarelbundock.github.io/Rdatasets/ar...
The new `get_dataset()` function from the {marginaleffects} 📦 allows you to search and load them directly in #Rstats.
vincentarelbundock.github.io/Rdatasets/ar...
February 14, 2025 at 12:54 PM
Rdatasets is a collection of 2300 free and documented datasets in CSV format. It's a great resource for teaching and exploration!
The new `get_dataset()` function from the {marginaleffects} 📦 allows you to search and load them directly in #Rstats.
vincentarelbundock.github.io/Rdatasets/ar...
The new `get_dataset()` function from the {marginaleffects} 📦 allows you to search and load them directly in #Rstats.
vincentarelbundock.github.io/Rdatasets/ar...
Excited to speak in the CAUSALab Methods Series tomorrow
January 27, 2025 at 2:06 PM
Excited to speak in the CAUSALab Methods Series tomorrow
Reposted by Nan van Geloven
We're still seeking candidates interested in causal inference and/or survival analysis for a postdoc position in Oslo. Deadline January 31.
Please apply or forward this to anyone who might be interested!
www.jobbnorge.no/en/available...
Please apply or forward this to anyone who might be interested!
www.jobbnorge.no/en/available...
Four year postdoc position at the Oslo Centre for Biostatistics and Epidemiology (OCBE) (272144) | University of Oslo
Job title: Four year postdoc position at the Oslo Centre for Biostatistics and Epidemiology (OCBE) (272144), Employer: University of Oslo, Deadline: Friday, January 31, 2025
www.jobbnorge.no
January 20, 2025 at 8:47 AM
We're still seeking candidates interested in causal inference and/or survival analysis for a postdoc position in Oslo. Deadline January 31.
Please apply or forward this to anyone who might be interested!
www.jobbnorge.no/en/available...
Please apply or forward this to anyone who might be interested!
www.jobbnorge.no/en/available...
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...
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...
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 ...
www.lumc.nl
December 30, 2024 at 2:56 PM
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...
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...
Reposted by Nan van Geloven
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