Profile photo Maarten van Smeden

Maarten van Smeden

Associate Professor

Strategic program(s):

Biography

Maarten van Smeden is a medical statistician, associate professor of epidemiologic methods and head of the research program methodology at the Julius Center for Health Sciences and Primary Care, UMC Utrecht, the Netherlands. His research is focused on the development and evaluation of statistical and data science methodology, with a particular focus on methodology related to the development, validation and implementation of prediction models. 

Research groups

Methods for AI and data science

Research aim

To develop and validate methods for data science, AI, statistics and causal inference and to improve medical research and patient care through impactful applications and collaborations.

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Recent publications

The Harms of Class Imbalance Corrections for Machine Learning Based Prediction Models Alex Carriero, Kim Luijken, Anne de Hond, Karel G.M. Moons, Ben van Calster, Maarten van Smeden
Statistics in Medicine, 2025, vol. 44
Accuracy of urgency allocation in patients with shortness of breath calling out-of-hours primary care Michelle Spek, Roderick P Venekamp, Esther de Groot, Geert-Jan Geersing, Daphne C A Erkelens, Maarten van Smeden, Anna S M Dobbe, Mathé Delissen, Frans H Rutten, Dorien L Zwart
BMC Primary Care, 2024, vol. 25
Diabetes and risk of acute coronary syndrome in callers with chest discomfort Michelle Spek, Daphne C A Erkelens, Coralie van Het Goor-van Wezep, Maarten van Smeden, Hester M Den Ruijter, Loes T C M Wouters, Roderick P Venekamp, Frans H Rutten, Dorien L Zwart
Diabetes Research and Clinical Practice, 2024, vol. 212
A comparison of hyperparameter tuning procedures for clinical prediction models Zoë S. Dunias, Ben Van Calster, Dirk Timmerman, Anne Laure Boulesteix, Maarten van Smeden
Statistics in Medicine, 2024, vol. 43, p.1119-1134
Methodological quality assessment tools for diagnosis and prognosis research Tabea Kaul, Bas E. Kellerhuis, Johanna A.A. Damen, Ewoud Schuit, Kevin Jenniskens, Maarten van Smeden, Johannes B. Reitsma, Lotty Hooft, Karel G.M. Moons, Bada Yang
Journal of Clinical Epidemiology, 2024, vol. 177
Updating methods for artificial intelligence–based clinical prediction models Lotta M. Meijerink, Zoë S. Dunias, Artuur M. Leeuwenberg, Anne A.H. de Hond, David A. Jenkins, Glen P. Martin, Matthew Sperrin, Niels Peek, René Spijker, Lotty Hooft, Karel G.M. Moons, Maarten van Smeden, Ewoud Schuit
Journal of Clinical Epidemiology, 2024, vol. 178