Ewout Steyerberg
@esteyerberg
Methodologist focused on prediction research from biostatistics, clinical epidemiology, and medical decision making perspectives
ID: 547407850
https://www.universiteitleiden.nl/en/staffmembers/ewout-steyerberg#tab-1 07-04-2012 07:23:51
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We need reliable validation, better reporting and involving stakeholders at all stages of model development and implementation scientificamerican.com/article/ai-in-… in Medicine Is Overhyped via Scientific American
Richard Riley (R²) Jon Huang, MPH, PhD | jonhuang.bsky.social Christopher Boyer Ewout Steyerberg Yes, I was also going to suggest this reference. Christopher Boyer 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
Good start of Biennial European Conference | Society for Medical Decision Making smdm.org/meeting/18th-b… Humans poor at understanding randomness Wolfgang Gaißmaier
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…
Good to see Maarten van Smeden talking on machine learning at the The STRATOS initiative meeting in Leiden