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From a paper I found today: "The c-index of the model is .794, a value that is only decimals away from what is commonly taken as a good predictive capability" Close but no 🍾!

Also methodology work is often done ‘on the side’ and so can be hard to find dedicated time This is why we desperately need much more funding for methodology research, which after all underpins health research 4/n

New update of the TRIPOD+AI statement promotes best practice in reporting clinical prediction models, TRIPODStatement #AI bmj.com/content/385/bm…

TRIPOD now includes reporting standards for machine learning for clinical applications

In case you missed it, already forgot about it or if you are desperately looking for reading material for the weekend: TRIPOD+AI came out this week 👇 bmj.com/content/385/bm…

We looked at dynamic random forest prediction models for central line-associated bloodstream infections on EHR from UZ Leuven. We compared binary, multiclass, time-to-event, and competing risk outcome definitions. With elena albu Laure Wynants @laurewynants.bsky.social arxiv.org/abs/2404.16127

Preprint from elena albu on random forests for dynamic prediction

👉New paper with guidance for performance evaluation of predictive AI models. With The STRATOS initiative Ewout Steyerberg Maarten van Smeden Laure Wynants @laurewynants.bsky.social Gary Collins Andrew Vickers Gael Varoquaux 🦋 Karandeep Singh Lasai Barreñada Carl Moons Tina Hernandez-Boussard David McLernon arxiv.org/abs/2412.10288

Are you a statistician or health-economist who wants to develop new methods and who is interested in evaluating the role of diagnostic & prognostic prediction models and AI? We have an opening for a PhD position at Maastricht University! academictransfer.com/nl/jobs/350390…