Propensity score estimation using classification and regression trees in the presence of missing covariate data. - Bas B. L. Penning de Vries; Maarten van Smeden; Rolf H. H. Groenwold (CoRR, 2018)

Mecor: An R package for measurement error correction in linear regression models with a continuous outcome. - Linda Nab; Maarten van Smeden; Ruth H. Keogh; Rolf H. H. Groenwold (Comput. Methods Programs Biomed., 2021)

Metrics reloaded: Pitfalls and recommendations for image analysis validation. - Lena Maier-Hein; Annika Reinke; Evangelia Christodoulou; Ben Glocker; Patrick Godau; Fabian Isensee; Jens Kleesiek; Michal Kozubek 001; Mauricio Reyes 001; Michael A. Riegler; Manuel Wiesenfarth; Michael Baumgartner 001; et al. (CoRR, 2022)

Artificial Intelligence and Statistics: Just the Old Wine in New Wineskins? - Livia Faes; Dawn A. Sim; Maarten van Smeden; Ulrike Held; Patrick M. Bossuyt; Lucas M. Bachmann (Frontiers Digit. Health, 2022)

The harm of class imbalance corrections for risk prediction models: illustration and simulation using logistic regression. - Ruben van den Goorbergh; Maarten van Smeden; Dirk Timmerman; Ben Van Calster (J. Am. Medical Informatics Assoc., 2022)

Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review. - Anne A. H. de Hond; Artuur M. Leeuwenberg; Lotty Hooft; Ilse M. J. Kant; Steven W. J. Nijman; Hendrikus J. A. van Os; Jiska J. Aardoom; Thomas P. A. Debray; Ewoud Schuit; Maarten van Smeden; Johannes B. Reitsma; Ewout W. Steyerberg; et al. (npj Digit. Medicine, 2022)

Cross-institution text mining to uncover clinical associations: a case study relating social factors and code status in intensive care medicine. - Madhumita Sushil; Atul J. Butte; Ewoud Schuit; Maarten van Smeden; Artuur M. Leeuwenberg (CoRR, 2023)

Understanding metric-related pitfalls in image analysis validation. - Annika Reinke; Minu Tizabi; Michael Baumgartner 001; Matthias Eisenmann; Doreen Heckmann-Nötzel; A. Emre Kavur; Tim Rädsch; Carole H. Sudre; Laura Ación; Michela Antonelli; Tal Arbel; Spyridon Bakas; et al. (CoRR, 2023)

Performance evaluation of predictive AI models to support medical decisions: Overview and guidance. - Ben Van Calster; Gary S. Collins; Andrew J. Vickers; Laure Wynants; Kathleen F. Kerr; Lasai Barreñada; Gaël Varoquaux; Karandeep Singh; Karel G. M. Moons; Tina Hernandez-Boussard; Dirk Timmerman; David J. Mclernon; et al. (CoRR, 2024)

Understanding random resampling techniques for class imbalance correction and their consequences on calibration and discrimination of clinical risk prediction models. - Marco Piccininni; Maximilian Wechsung; Ben Van Calster; Jessica L. Rohmann; Stefan Konigorski; Maarten van Smeden (J. Biomed. Informatics, 2024)

Early detection of ICU-acquired infections using high-frequency electronic health record data. - Meri Varkila; Giacomo Lancia; Maarten van Smeden; Marc J. M. Bonten; Cristian Spitoni; Olaf L. Cremer (BMC Medical Informatics Decis. Mak., 2025)