π₯³ Registration for abstracts for EuroCIM 2026 (Oxford) is now OPEN and the deadline for submissions is 9 January 2026: eurocim.org/oxford-2026/...
π Theme? βCausal inference in health, economic and social scienceβ
π When? April 14-17
π Where? Oxford
π Register? eurocim.org/oxford-2026/...
11.11.2025 10:55 β π 14 π 7 π¬ 0 π 0
EuroCIM2025 came to an end! Thank you to all speakers, participants, and partners who made this year's conference a success. See you next year in Oxford!
11.04.2025 20:01 β π 14 π 3 π¬ 0 π 1
Another #EuroCIM2025 poster for #episky:
Elise Dumas presented "Inference on sustained treatment strategies, with a case study on young women with breast cancer" on behalf of colleagues from EPFL and France. Lots of interesting stuff to unpack here!...
10.04.2025 13:52 β π 4 π 2 π¬ 2 π 0
You know Pearl's causal ladder, but Julia introduced a different type of ladder : how can we get cutting edge causal inference methods into applications? #EuroCIM2025 so important!
10.04.2025 15:06 β π 13 π 3 π¬ 1 π 0
I really agree... Especially because domain subject-matter knowledge is so critical for causal inference. There is often little awareness of what's out there and making "first contact" with a field is so important. #EuroCIM2025
10.04.2025 15:08 β π 3 π 1 π¬ 0 π 0
Tutorials are most useful when they also address substantive questions of interest. I think #episky also has some good sneak tutorial examples (which often serve as what Julia calls "template articles")! You can find her whole slide deck at osf.io/ujpsq (extra points for openness π)
#EuroCIM2025
10.04.2025 15:13 β π 18 π 3 π¬ 1 π 0
This was a tour de force and a rallying cry for translational methodology. A hugely refreshing and thought provoking talk for the #EuroCIM2025 audience. Thank you @dingdingpeng.the100.ci!
The slides are available online at: osf.io/ujpsq
10.04.2025 15:25 β π 7 π 1 π¬ 1 π 0
Time for @dingdingpeng.the100.ci's invited talk on "How Can We Make Rigorous Causal Inference More Mainstream?" πππ
#EuroCIM2025 #CausalSky
10.04.2025 14:52 β π 43 π 10 π¬ 1 π 0
There are some very interesting posters #EuroCIM2025! Sharing a handful here I thought might be of interest to #episky: #1 - "Confounding of the competing event in time-to-event analyses" by Jost Viebrock, Bianca Kollhorst & Vanessa Didelez.
This poster looks at "competing confounding", that is...
10.04.2025 12:04 β π 9 π 5 π¬ 1 π 0
Georgi Baklicharov asks: can treatment effect testing in trials with intercurrent events be nearly assumption-free? #EuroCIM2025
09.04.2025 13:21 β π 5 π 3 π¬ 1 π 0
Finally! The one and only Ellen Hamaker will talk about the average causal effect across people, time and disciplines #EuroCIM2025
09.04.2025 13:41 β π 27 π 3 π¬ 1 π 0
Razieh Nabi talks about fairness and statistical learning #EuroCIM2025
10.04.2025 09:06 β π 3 π 1 π¬ 1 π 0
Excited about this talk by Youmi Suk β SWIGs for item fairness!!! #EuroCIM2025
10.04.2025 09:25 β π 5 π 1 π¬ 1 π 0
Noo! :-( Get well soon!
10.04.2025 10:32 β π 1 π 0 π¬ 0 π 0
Looking forward to another exciting day of #EuroCIM2025. I'll give a talk today! 16:15 session, Auditorium 1 (be there or be π¦).
I hereby pre-register that this will be the talk with the lowest number of equations at this conference, maybe even in all of EuroCIM history. Slides: osf.io/ujpsq
10.04.2025 04:55 β π 58 π 5 π¬ 5 π 1
Gonna have to start seriously considering attending EuroCIM based on all these skeets of amazing talks #EuroCIM2025
09.04.2025 12:32 β π 2 π 1 π¬ 0 π 0
Next up, Erin Gabriel talks about symbolic partial identification bounds. Never heard of that before, sounds intriguing! #EuroCIM2025
09.04.2025 08:20 β π 3 π 1 π¬ 1 π 0
Wenxin Zhang will talk about efficient statistical inference in adaptive experiments, in which the treatment probability is dynamically adjusted throughout the trial #EuroCIM2025
09.04.2025 12:40 β π 3 π 1 π¬ 0 π 0
Alissa Gordon talks about hybrid control trials, risk of bias and leveraging covariates for sensitivity analyses #EuroCIM2025
09.04.2025 09:22 β π 2 π 1 π¬ 0 π 0
Next session is on randomized studies! Lin Liu will talk about covariance adjustment in RCTs #EuroCIM2025
09.04.2025 12:19 β π 8 π 1 π¬ 2 π 0
Mathieu Even talks about quantifying treatment effects for hierarchical outcomes. Never heard of the Win Ratio, that sounds ratherβ¦like something! #EuroCIM2025
09.04.2025 13:04 β π 9 π 1 π¬ 1 π 0
@ellievanvogt.bsky.social is at #EuroCIM2025 this week presenting their poster βEstablishing when to use causal machine learning for conditional average treatment effect estimation in randomised controlled trials using simulationβ!
Make sure to check it out tomorrow if youβre there! βοΈ
09.04.2025 10:08 β π 5 π 2 π¬ 0 π 0
Sensitivity analysis for diff-in-diff! #EuroCIM2025
09.04.2025 10:12 β π 11 π 1 π¬ 1 π 0
Unexpectedly excited about the first keynote at #EuroCIM2025 β Jonas Peters will talk about hidden confounders in dynamical systems π
09.04.2025 07:18 β π 33 π 8 π¬ 4 π 3
Sam Pimentel presents an intriguing idea: using sensitivity analysis to determine an estimand which is less sensitive to unobserved confounding #EuroCIM2025
09.04.2025 09:47 β π 14 π 3 π¬ 2 π 0
An interesting talk by Fabrizia Mealli kicks off the #EuroCIM2025 "Interference and continuous exposuresβ session. I'll actually start with the conclusions slide to give you an idea of the content. π§΅...
09.04.2025 09:54 β π 5 π 2 π¬ 1 π 0
Me and Jessica Rohmann posing with ice cream in a random square in Ghent
#CausalIceCream with @jlrohmann.bsky.social at #EuroCIM2025!
08.04.2025 14:31 β π 7 π 2 π¬ 2 π 0
Dag = day or hello
09.04.2025 10:32 β π 3 π 0 π¬ 1 π 0
Me, pointing at a sign that says 'CHEFDAG'
Me, pointing at a sign that says 'opendag'
Me, pointing at a sign that says 'DAG WINKEL'
Loving the directed acyclic graph signage here in Ghent!
#ChefDAG
#OpenDAG
#DAGWinkel
#EuroCIM2025
08.04.2025 20:32 β π 19 π 2 π¬ 3 π 0
Lecturer at the Department of Statistical Science of UCL. All opinions my own. π²π½π¬π§
https://sites.google.com/site/fjavierrubio67/
#rstats #JuliaLang #Bayesian #Statistics #Biostatistics
italian, born in brussels, educated in the uk, european at heart | PhD student @KCLBHI @KingsIoPPN | interested in mental health research and causal inference
PhD in mathematics. Author of "Causal Inference for Data Science"
Assistant professor in Biostatistics. School of Public Health, University of Montreal. Causal inference - Casual chess. π«π·πͺπΊ living in lovely π¨π¦
Prof of Biostatistics, UCL
Professor of Biostatistics and Epidemiology at the London School of Hygiene & Tropical Medicine.
Associate Professor @ Utrecht University, NLP & Computational Linguistics.
ELLIS Member. Utrecht Young Academy Board Member. CUCo Board Member.
Natural Language Processing @ NLTP nlp.sites.uu.nl π±πΊ
FWO postdoc | Experimental and theoretical psychologist. Interested in behaviour change, causal inference, and research reproducibility.
PhD student @ Julius Center, UMC Utrecht | causal inference π€clinical prediction
Machine learning researcher, working on causal inference and healthcare applications
research fellow @clscohorts.bsky.social
epidemiology, causal inference, methods
Assistant Professor of Statistics at WU Vienna | Before: Postdoc at the University of Copenhagen | PhD from the University of Zurich | Interested in causal inference with complex data structures and statistical software
Assistant Professor of "Data Science in Economics" at Uni TΓΌbingen. Interested in the intersection of causal inference and so-called machine learning.
Teaching material: https://github.com/MCKnaus/causalML-teaching
Homepage: mcknaus.github.io
Professor of biostatistics at UniversitΓ© Laval, causal inference enthusiast, dog-lover
Associate Professor of Statistics and of Biostatistics & Medical Informatics at UW-Madison β’ Semiparametrics, Domain Adaptation, Machine Learning, Causal Inference, Patient Reported Outcome, Aging, Mental Health
Professor of biostatistics at the University of Oslo. Causal inference, survival/event history analysis, jmgran.github.io
Biostatistician, London School of Hygiene & Tropical Medicine. Blogging at thestatsgeek.com