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Richard Riley (R²) @jon_y_huang @chrisbboyer Ewout Steyerberg Yes, I was also going to suggest this reference. @chrisbboyer There is a quite a bit of literature on internal validation strategies. In general, the advice is to refrain from single random training-test splits

Additive hazards model: ever wondered what to do about negative hazards and why the default method is ordinary least squares and not maximum likelihood? Then this will be of interest! Biomedical Data Sciences LUMC Maximum likelihood estimation in the additive hazards model onlinelibrary.wiley.com/doi/10.1111/bi…

Great start of symposium in honor of Hester Lingsma her inaugural lecture by David M Kent on heterogeneity of treatment effect from a simple country doctor's perspective 😂Erasmus MC Public Health

Proud of my humble friend (he would probably not announce this himself) and collaborator Ben Van Calster for becoming an Editor in Chief for the prestigious Statistics in Medicine journal

Polemic title, sensible content?Biomedical Data Sciences LUMC

Don't miss the third CORE-MD free webinar on Objective Performance Criteria on Monday 3rd April 2023 from 17.00 until 18.15 CET. Register here: bit.ly/core-md3

"The generalizability of [clinical predictive] algorithms often goes untested, leaving the community in the dark on their accuracy & safety when applied to a specific medical setting." This commentary aims to provide clarity on generalizability objectives. nature.com/articles/s4174…

Good start of Biennial European Conference | Society for Medical Decision Making smdm.org/meeting/18th-b… Humans poor at understanding randomness Wolfgang Gaißmaier

We sometimes communicate risk as “we expect that out of 100 patients like you 5 will get disease X, but how do we communicate uncertainty?what if we said we base this prediction in the model on34 patients like you” #ESMDM23

Should you use confidence intervals and p-values for net benefit and decision curve analysis? (now with correct link!) diagnprognres.biomedcentral.com/articles/10.11…

Enthusiastic start on an update of activities related to #AI at LUMC Leiden #CAIRELab and Leiden Computer Science

Proud of Isabel Retel Helmrich defending her thesis on methods and applications of prognosis research. Great collaboration with Hester Lingsma, David van Klaveren, CENTER-TBI

New OA paper with Lu Tian and rob tibshirani. We show how to use the thousands of trials from the Cochrane database to improve the statistical inference for any given trial. We may expect gains that are roughly equivalent to doubling the sample size! onlinelibrary.wiley.com/doi/10.1002/si…

Applications welcome, looking for two PhD candidates from outside of 🇳🇱 project 1: multidimensional statistical disease modeling of traumatic brain injury; project 2: acute stroke and subarachnoid hemorrhage. kuleuven.be/soprani/network lumc.nl/en/about-lumc/…

Good to see Maarten van Smeden talking on machine learning at the The STRATOS initiative meeting in Leiden

It has been claimed that there is no such thing as a validated prediction model. We provide empirical evidence for that claim in our new paper here onlinelibrary.wiley.com/doi/10.1002/si… with ao Ewout Steyerberg David van Klaveren see also Maarten van Smeden Ben Van Calster Laure Wynants @laurewynants.bsky.social