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Wonder how IV and Difference-in-Differences can be combined to strengthen #causalinference under unmeasured confounding? Read our new preprint on the so-called IDID method :-). Joint work with Ting Ye, Stijn Vansteelandt, Sean Hennessy, Dylan Small and others.

🚨 Call for papers: Workshop on ‘Machine Learning in Program Evaluation, High-dimensionality and Visualization Techniques’ June 20-21, 2023 in Belval, Luxembourg Keynote speakers: G. Imbens (guido imbens), M. Huber (Martin Huber), S. Vansteelandt (Stijn Vansteelandt) 1/2

Professors & students self-censor for fear of mob-rule punishment. We need a critical mass, enough people daring to confront the yelling thought police. University bosses, stop your cowardice. Do your job. Back free speech. Protect academic freedom. bostonglobe.com/2023/04/12/opi…

Very excited about this new paper! We study if one can improve popular semiparametric / doubly robust / DML causal effect estimators -- without adding structural assumptions... Short answer: nope! Turns out these methods are minimax optimal here Lots of Qs left to explore...

An afternoon of talks on estimands in Ghent (and online), 23rd June - see here for more details hegemichiels.github.io/index.html Kelly Van Lancker Stijn Vansteelandt

We're recruiting a new Prof. of Medical Statistics London School of Hygiene & Tropical Medicine Details here: jobs.lshtm.ac.uk/vacancy.aspx?r…

Should you use projection estimands or derivative effects for continuous exposures? It turns out that they are the same thing* (along with ATEs) + you can use the R-learner for estimation. New preprint with Karla DO Stijn Vansteelandt arxiv.org/abs/2308.05456

Moral controversies and academic public health: Notes on navigating and surviving academic freedom challenges. A very important article for all who care about both academic freedom and public health. sciencedirect.com/science/articl…

Vier nieuwe ERC Advanced grants voor UGent'ers! Proficiat Tijl De Bie, Kevin Van Geem, Peter Van Nuffelen en Stijn Vansteelandt. 👏 Ontdek hier hun onderzoeksplannen: 👇ugent.be/nl/actueel/erc… Faculty of Engineering and Architecture UGent UGent Wetenschappen UGent LW

I am deeply honored and humbled to be recipient of an advanced ERC award #ERCAdG to spearhead research on Assumption-lean (Causal) Modeling and Estimation. @DassGhent @UGent_fwe Ghent University Research @UGent European Research Council (ERC) 1/2

A big thanks goes to my mentors, long-time collaborators and the fantastic causal inference team at #UGent for inspiration and encouragement. 2/2

Riesznet (Victor Chernozhukov #peace 🇺🇦 et al.) has propelled Riesz representers into the causal inference limelight, but can we say more about the representers for similar looking estimands? Answer: Yes arxiv.org/abs/2308.05456 Karla DO Stijn Vansteelandt

I have several exciting openings for PhD students and postdocs in the context of my advanced ERC grant #ERCAdG on Assumption-lean (Causal) Modeling and Estimation. Please spread the news! users.ugent.be/~svsteela/ @DassGhent @UGent_fwe Ghent University Research @UGent European Research Council (ERC)

When selecting a causal estimand, it’s crucial to balance asking the right question with the feasibility of answering it under realistic assumptions. Ignoring this in clinical trials risks chasing shadows. arxiv.org/abs/2409.11162 1/2 #CausalInference #PharmaStats #Estimands

Our paper shows this by giving examples on the use of causal assumptions that are inevitably violated. We call for a more balanced approach to estimand formulation, and causal analyses that go beyond merely stating assumptions. 2/2 #CausalInference #PharmaStats #Estimands