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Estimation of required sample size for external validation of risk models for binary outcomes2021 Statistical Methods in Medical Research article Mathematics Statistical Methods in Epidemiology Open access
Menelaos Pavlou, Qu Chen, Rumana Omar, Shaun R. Seaman, Ewout Willem Steyerberg, Ian R. White, +1 more
60citations -
Construction and assessment of prediction rules for binary outcome in the presence of missing predictor data using multiple imputation and cross‐validation: Methodological approach and data‐based evaluation20citations
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A weighting method for simultaneous adjustment for confounding and joint exposure-outcome misclassifications2020 Statistical Methods in Medical Research article Mathematics Advanced Causal Inference Techniques Open access
Bas B. L. Penning de Vries, Maarten van Smeden, Rolf H. H. Groenwold
2citations -
Regression shrinkage methods for clinical prediction models do not guarantee improved performance: Simulation study2020 Statistical Methods in Medical Research article Mathematics Statistical Methods and Inference Open access
Ben Van Calster, Maarten van Smeden, B. De Cock, Ewout Willem Steyerberg
124citations -
Recent criteria and simple rules agreed often on required sample size for developed clinical prediction models2026 Journal of Clinical Epidemiology article Mathematics Statistical Methods in Epidemiology Open access
Ewout Willem Steyerberg, Toby Hackmann, Ben Van Calster, Maarten van Smeden, Laure Wynants
0citations -
How to interpret the number needed to treat for clinicians2025 Nephrology Dialysis Transplantation article Mathematics Statistical Methods in Clinical Trials Open access
Nicholas C Chesnaye, Alberto Ortíz, Merel van Diepen, Friedo Wilhelm Dekker, Carmine Zoccali, Giovanni Luigi Tripepi, +2 more
5citations -
Ordinal outcome analysis improves the detection of between-hospital differences in outcome2021 BMC Medical Research Methodology article Mathematics Statistical Methods in Clinical Trials Open access
Iris E. Ceyisakar, Nikki van Leeuwen, Diederik W.J. Dippel, Ewout Willem Steyerberg, Hester Floor Lingsma
23citations -
How to develop, validate, and update clinical prediction models using multinomial logistic regression2024 Journal of Clinical Epidemiology article Mathematics Statistical Methods in Epidemiology Open access
Celina K Gehringer, Glen Philip Martin, Ben Van Calster, Kimme Leanne Hyrich, Suzanne M. M. Verstappen, Jamie C. Sergeant
20citations -
Minimum sample size for developing a multivariable prediction model using multinomial logistic regression2023 Statistical Methods in Medical Research article Mathematics Statistical Methods in Epidemiology Open access
Alexander Pate, Richard D Riley, Professor Gary S. Collins, Maarten van Smeden, Ben Van Calster, Joie Ensor, +1 more
170citations -
Minimum Sample Size for Developing a Multivariable Prediction Model using Multinomial Logistic Regression2022 Research Explorer (The University of Manchester) article Mathematics Statistical Methods in Epidemiology Open access
Alexander Pate, Richard D Riley, Professor Gary S. Collins, Maarten van Smeden, Ben Van Calster, Joie Ensor, +1 more
11citations -
Understanding overfitting in random forest for probability estimation: a visualization and simulation study2024 Diagnostic and Prognostic Research article Mathematics Statistical Methods and Inference Open access
Lasai Barreñada, Paula Dhiman, Dirk Timmerman, Anne‐Laure Boulesteix, Ben Van Calster
149citations