Scholar
Ben Van Calster
Google Scholar ID: r-CHteIAAAAJ
Professor of Medical Statistics, KU Leuven
Prediction modeling
biostatistics
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Citations & Impact
All-time
Citations
37,773
H-index
93
i10-index
241
Publications
20
Co-authors
15
list available
Publications
8 items
Population-Level Decision Curve Analysis May Mislead the Evaluation of Prediction Model Usefulness under Subgroup Utility Heterogeneity
2026
Cited
0
Optimizing for the decision not the prediction: an exploration of Smooth Net Benefit as a training objective
2026
Cited
0
Collapsibility of Performance Metrics in Clinical Predictive AI
2026
Cited
0
Efficient Variance Estimation for the Polytomous Discrimination Index
2026
Cited
0
Value-of-Information Analysis for External Validation of Risk Prediction Models in Multicenter Studies and Systematic Reviews
2026
Cited
0
Sequential sample size calculations and learning curves safeguard the robust development of a clinical prediction model for individuals
2025
Cited
0
Critical Appraisal of Fairness Metrics in Clinical Predictive AI
2025
Cited
0
The fundamental problem of risk prediction for individuals: health AI, uncertainty, and personalized medicine
2025
Cited
0
Co-authors
8 total
Dirk Timmerman
Professor Gynecology, KU Leuven; Visiting Professor Imperial College London; Sacro Cuore Rome
Ewout W. Steyerberg
Professor of Clinical Biostatistics, UMC Utrecht & LUMC
Wynants L.
Assistant Professor Maastricht University; KU Leuven
Gary S. Collins
Professor of Medical Statistics, University of Birmingham
Maarten van Smeden
University Medical Center Utrecht
Richard D Riley
University of Birmingham, UK.
Andrew Vickers
Memorial Sloan Kettering Cancer Center
Michael J. Pencina, PhD
Duke University, School of Medicine
