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The EuroCIM @eurocim.bsky.social · Apr 11

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!

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Reposted by The EuroCIM

Jess Rohmann @jlrohmann.bsky.social · Apr 10

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!...

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Reposted by The EuroCIM

Jess Rohmann @jlrohmann.bsky.social · Apr 10

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!

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Jess Rohmann @jlrohmann.bsky.social · Apr 10

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

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Jess Rohmann @jlrohmann.bsky.social · Apr 10

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 🏆)
#EuroCIM2025

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Peter Tennant @pwgtennant.bsky.social · Apr 10

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

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Reposted by The EuroCIM

Peter Tennant @pwgtennant.bsky.social · Apr 10

Time for @dingdingpeng.the100.ci's invited talk on "How Can We Make Rigorous Causal Inference More Mainstream?" 🎉🎉🎉

#EuroCIM2025 #CausalSky

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Reposted by The EuroCIM

Jess Rohmann @jlrohmann.bsky.social · Apr 10

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...

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Reposted by The EuroCIM

Julia M. Rohrer @dingdingpeng.the100.ci · Apr 9

Georgi Baklicharov asks: can treatment effect testing in trials with intercurrent events be nearly assumption-free? #EuroCIM2025

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Reposted by The EuroCIM

Julia M. Rohrer @dingdingpeng.the100.ci · Apr 9

Finally! The one and only Ellen Hamaker will talk about the average causal effect across people, time and disciplines #EuroCIM2025

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Reposted by The EuroCIM

Julia M. Rohrer @dingdingpeng.the100.ci · Apr 10

Razieh Nabi talks about fairness and statistical learning #EuroCIM2025

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Julia M. Rohrer @dingdingpeng.the100.ci · Apr 10

Excited about this talk by Youmi Suk — SWIGs for item fairness!!! #EuroCIM2025

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The EuroCIM @eurocim.bsky.social · Apr 10

Noo! :-( Get well soon!

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Julia M. Rohrer @dingdingpeng.the100.ci · Apr 10

Looking forward to another exciting day of #EuroCIM2025. I'll give a talk today! 16:15 session, Auditorium 1 (be there or be 🟦).

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

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Tim Feeney @tfeend.bsky.social · Apr 9

Gonna have to start seriously considering attending EuroCIM based on all these skeets of amazing talks #EuroCIM2025

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Julia M. Rohrer @dingdingpeng.the100.ci · Apr 9

Next up, Erin Gabriel talks about symbolic partial identification bounds. Never heard of that before, sounds intriguing! #EuroCIM2025

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Reposted by The EuroCIM

Julia M. Rohrer @dingdingpeng.the100.ci · Apr 9

Wenxin Zhang will talk about efficient statistical inference in adaptive experiments, in which the treatment probability is dynamically adjusted throughout the trial #EuroCIM2025

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Julia M. Rohrer @dingdingpeng.the100.ci · Apr 9

Alissa Gordon talks about hybrid control trials, risk of bias and leveraging covariates for sensitivity analyses #EuroCIM2025

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Julia M. Rohrer @dingdingpeng.the100.ci · Apr 9

Next session is on randomized studies! Lin Liu will talk about covariance adjustment in RCTs #EuroCIM2025

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Julia M. Rohrer @dingdingpeng.the100.ci · Apr 9

Mathieu Even talks about quantifying treatment effects for hierarchical outcomes. Never heard of the Win Ratio, that sounds rather…like something! #EuroCIM2025

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StatsCI @statsci.bsky.social · Apr 9

@ellievanvogt.bsky.social is at #EuroCIM2025 this week presenting their poster ‘Establishing when to use causal machine learning for conditional average treatment effect estimation in randomised controlled trials using simulation’!

Make sure to check it out tomorrow if you’re there! ⭐️

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Julia M. Rohrer @dingdingpeng.the100.ci · Apr 9

Sensitivity analysis for diff-in-diff! #EuroCIM2025

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Julia M. Rohrer @dingdingpeng.the100.ci · Apr 9

Unexpectedly excited about the first keynote at #EuroCIM2025 — Jonas Peters will talk about hidden confounders in dynamical systems 👀

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Reposted by The EuroCIM

Wouter van Amsterdam @vanamsterdam.bsky.social · Apr 9

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

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...

bit.ly

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Reposted by The EuroCIM

Julia M. Rohrer @dingdingpeng.the100.ci · Apr 9

Sam Pimentel presents an intriguing idea: using sensitivity analysis to determine an estimand which is less sensitive to unobserved confounding #EuroCIM2025

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