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Risk of bias of prognostic models developed using machine learning: a systematic review in oncology2022 Diagnostic and Prognostic Research review Mathematics Statistical Methods in Epidemiology Open access
Paula Dhiman, Jie Ma, Constanza L. Andaur Navarro, Benjamin Speich, Garrett Scott Bullock, Johanna AAG Damen, +6 more
80citations -
A new inverse probability of selection weighted Cox model to deal with outcome-dependent sampling in survival analysis2023 bioRxiv (Cold Spring Harbor Laboratory) preprint Mathematics Statistical Methods in Epidemiology Open access
Vera H. Arntzen, Marta F. Fiocco, Inge M. M. Lakeman, Maartje Nielsen, Mar Rodríguez‐Girondo
1citations -
Predictive averaging and Rubin’s rule-based model pooling to predict survival risk with imputations in the presence of missing patient data: methodology and verification using two case studies and simulations2026 BMC Medical Research Methodology article Mathematics Statistical Methods and Bayesian Inference Open access
Bart J.A. Mertens, Lars L. J. van der Burg, Erwan Donal, Nina Ajmone Marsan, Liesbeth C. de Wreede
1citations -
The impact of allocation bias on test decisions in clinical trials with multiple endpoints using multiple testing strategies2024 BMC Medical Research Methodology article Mathematics Statistical Methods in Clinical Trials Open access
Stefanie Schoenen, Nicole Maria Heussen, Johan Verbeeck, R.-D Hilgers
6citations -
Application of quantitative bias analysis for unmeasured confounding in cost–effectiveness modelling2022 Journal of Comparative Effectiveness Research article Mathematics Advanced Causal Inference Techniques Open access
Thomas P. Leahy, Stephen J. Duffield, Seamus Kent, Cormac Sammon, Dimitrios Tzelis, Joshua A. Ray, +4 more
6citations -
Risk prediction models for discrete ordinal outcomes: calibration and the impact of the proportional odds assumption2021 arXiv (Cornell University) preprint Mathematics Statistical Methods in Epidemiology Open access
Michael Edlinger, Maarten van Smeden, Hannes Franz Alber, Maria M. Wanitschek, Ben Van Calster
0citations -
The Risks of Risk Assessment: Causal Blind Spots When Using Prediction Models for Treatment Decisions2025 Annals of Internal Medicine article Mathematics Advanced Causal Inference Techniques Open access
Nan van Geloven, Ruth H. Keogh, Wouter A. C. van Amsterdam, Giovanni Cinà, Jesse H. Krijthe, Niels B. Peek, +9 more
24citations -
The risks of risk assessment: causal blind spots when using prediction models for treatment decisions2024 arXiv (Cornell University) preprint Mathematics Advanced Causal Inference Techniques Open access
Nan van Geloven, Ruth H. Keogh, Wouter van Amsterdam, Giovanni Cinà, Jesse H. Krijthe, Niels B. Peek, +9 more
1citations