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.

Nederland warmt nog iets sneller op dan in hoge scenario's KNMI: 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...

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

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.

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.

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)

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

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

Lees het maar eens, deze afsluitende alinea in @standaard.be over kinderen in Gaza. Lees het dan nog eens.

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/...

2 days left to apply 👇

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...

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....

Very proud of this new paper by @ilariaprosepe.bsky.social showing how you can draw causal inferences from multistate models. 👇

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/...

On the other hand Roses are red Violets have blue tints You shouldn’t use euphemisms If your goal is causal inference

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...

Excited to speak in the CAUSALab Methods Series tomorrow

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...

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...

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

NEW PAPER Paper excellently led by Kim Luijken on dealing with interventions/treatments when developing a clinical prediction model Open access 👉 onlinelibrary.wiley.com/doi/10.1002/...

Extremely happy that our 'Safe Causal Inference' consortium was granted! We will be hiring 8 PhD students to tackle causal assumption violations, triangulation and causal model selection. With Jesse Krijthe, @jeremylabrecque.bsky.social, Aad vd Vaart & Stephanie vd Pas www.nwo.nl/en/news/64-m...