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.

Go to group

Recent publications

Importance of sample size on the quality and utility of AI-based prediction models for healthcare Richard D. Riley, Joie Ensor, Kym I.E. Snell, Lucinda Archer, Rebecca Whittle, Paula Dhiman, Joseph Alderman, Xiaoxuan Liu, Laura Kirton, Jay Manson-Whitton, Maarten van Smeden, Karel G. Moons, Krishnarajah Nirantharakumar, Jean Baptiste Cazier, Alastair K. Denniston, Ben Van Calster, Gary S. Collins
The Lancet Digital Health, 2025, vol. 7
Predicting the Risk of Intensive Care Unit Admission in Patients With COVID-19 Presenting in the Emergency Room Weiwei Xiang, Fridolin Steinbeis, Kiret Dhindsa, Florian Kurth, Tilman Lingscheid, Charlotte Thibeault, Hans Jakob Meyer, Norbert Suttorp, Mirja Mittermaier, Melanie Stecher, Margarete Scherer, Marina Hagen, Lazar Mitrov, Ramsia Geisler, Katharina S. Appel, Sina M. Hopff, Carolin Koll, Susana M. Nunes De Miranda, Christina Weismantel, Jens Peter Reese, Peter Heuschmann, Olga Miljukov, Carolin Nürnberger, Leif Erik Sander, Jörg Janne Vehreschild, Martin Witzenrath, Maarten Van Smeden, Thomas Zoller
Clinical Infectious Diseases, 2025, vol. 80, p.1022-1031
Gender-stratified analyses of symptoms associated with life-threatening events in patients calling out-of-hours primary care for shortness of breath Michelle Spek, Dorien L Zwart, Gerardus J H M Reijers, Esther de Groot, Geert-Jan Geersing, Maarten van Smeden, Hester M den Ruijter, Anna S M Dobbe, Mathé Delissen, Frans H Rutten, Roderick P Venekamp
BMC Primary Care, 2025, vol. 26
Assessing the quality of prediction models in health care using the Prediction model Risk Of Bias ASsessment Tool (PROBAST) Tabea Kaul, Johanna A A Damen, Laure Wynants, Ben Van Calster, Maarten van Smeden, Lotty Hooft, Karel G M Moons
Journal of Clinical Epidemiology, 2025, vol. 181
Probast+ai Karel G M Moons, Johanna A A Damen, Tabea Kaul, Lotty Hooft, Constanza Andaur Navarro, Paula Dhiman, Andrew L Beam, Ben Van Calster, Leo Anthony Celi, Spiros Denaxas, Alastair K Denniston, Marzyeh Ghassemi, Georg Heinze, André Pascal Kengne, Lena Maier-Hein, Xiaoxuan Liu, Patricia Logullo, Melissa D McCradden, Nan Liu, Lauren Oakden-Rayner, Karandeep Singh, Daniel S Ting, Laure Wynants, Bada Yang, Johannes B Reitsma, Richard D Riley, Gary S Collins, Maarten van Smeden
BMJ (Clinical research ed.), 2025, vol. 388
Uncertainty of risk estimates from clinical prediction models Richard D. Riley, Gary S. Collins, Laura Kirton, Kym I.E. Snell, Joie Ensor, Rebecca Whittle, Paula Dhiman, Maarten Van Smeden, Xiaoxuan Liu, Joseph Alderman, Krishnarajah Nirantharakumar, Jay Manson-Whitton, Andrew J. Westwood, Jean Baptiste Cazier, Karel G.M. Moons, Glen P. Martin, Matthew Sperrin, Alastair K. Denniston, Frank E. Harrell, Lucinda Archer
BMJ, 2025, vol. 388