According to my pooled analysis, this joke is average [95% CI meh, 🤣]

✨ New open-access book✨ I’ve seen how powerful prediction models can be, but also how often they fall short. We wrote a book, covering not just development, but also when models are needed, and how to ensure real-world impact. www.maastrichtuniversitypress.nl/cpm

Happy to see this in print! doi 10.1146/annurev-statistics-042324-123749 @maartenvsmeden.bsky.social @laurewynants.bsky.social @vanamsterdam.bsky.social and Ewout Steyerberg

Our team quantified how often clinical prediction models are evaluated or used. Spoiler alert: we found more self-reported clinical use in patient care than evidence of thorough evaluation. www.jclinepi.com/article/S089...

Thanks to collaborators @joieensor.bsky.social @gscollins.bsky.social Rebecca Whittle, Kym Snell, Lucinda Archer, Amardeep Legha, @pauladhiman.bsky.social, Laura Kirton, @xiaoliu.bsky.social, AlastairDenniston, @glenmartin.bsky.social @f2harrell.bsky.social @laurewynants.bsky.social

What a great day yesterday! 🎉 Dr. Shan Gao and Dr. Elena Albu successfully defended their PhDs on the dynamic prediction of CLABSI using EHR data. A huge milestone after four years of dedicated research!

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! www.academictransfer.com/nl/jobs/3503...

recommended!

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 PREPRINT A detailed overview of 32 popular predictive performance metrics for prediction models arxiv.org/abs/2412.10288

Bye-bye Brisbane and #AIMOS2023. Arrived in Melbourne for the second leg of my trip visiting vicbiostat centre.