Sample size is so very neglected in most prediction model research Here is a paper from our team that guides researchers toward sample sizes for precise performance estimates in validation studies And pmvalsampsize is your one line of code to implement it! By @joie_ensor

How should researchers undertake an external validation study? This article guides readers through the steps involved @Richard_D_Riley bmj.com/content/384/bmj-2023…

Very excited to share a new work on AUPRC, AUROC, and class imbalance: arxiv.org/abs/2401.06091 The short of it? Despite widespread belief, AUPRC is not superior to AUROC under general class imbalance and it can exacerbate biases towards subpopulations with higher prevalence.

Reminded today about how important this paper is by @laure_wynants @BenVanCalster @ESteyerberg @MaartenvSmeden et al "Three myths about risk thresholds for prediction models" Highly recommended reading bmcmedicine.biomedcentral.co…

NEW PAPER in @bmj_latest (with @Richard_D_Riley) - 1st in a 3 part series on the ‘Evaluation of clinical prediction models’. Part 1 is ‘from development to external validation’. —> tinyurl.com/n8fy5xvj

⭐️NEW paper “Clinical prediction models and the multiverse of madness” For any model created, a multiverse of other potential models exists & an individual’s prediction may vary greatly across this multiverse Avengers endgame: examine this instability🙏 bmcmedicine.biomedcentral.co…

What an amazing experience at #RSNA23! Four radiology residents from @SNU_Rad.

In a new Perspective, Walia, Tuia & @VPrasadMDMPH discuss the adoption of composite end points in oncology, their pro and cons, and advocate for separate reporting of component events to enable a better understanding of cancer biology and trial results: nature.com/articles/s41571-0…