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Larger sample sizes are needed when developing a clinical prediction model using machine learning in oncology: methodological systematic review2025 Journal of Clinical Epidemiology review Mathematics Statistical Methods in Epidemiology Open access
Biruk Tsegaye, Kym I E Snell, Lucinda Archer, Shona Kirtley, Richard D Riley, Matthew Sperrin, +3 more
46citations -
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 -
Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic review2022 BMC Medical Research Methodology 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
138citations -
Fear, Behaviour, and the COVID-19 Pandemic: A City-Scale Agent-Based Model Using Socio-Demographic and Spatial Map Data2022 Journal of Artificial Societies and Social Simulation article Mathematics COVID-19 epidemiological studies Open access
Carl Orge Retzlaff, Laura Burbach, Lilian Kojan, Patrick Halbach, Johannes Nakayama, Martina Ziefle, +1 more
14citations -
Towards an Integrative Model of Math Cognition: Interactions between Working Memory and Emotions in Explaining Children’s Math Performance2023 Journal of Intelligence article Mathematics Cognitive and developmental aspects of mathematical skills Open access
Sanne H.G. van der Ven, Emilie J. Prast, Eva van de Weijer‐Bergsma
6citations -
Is There a Future for Stochastic Modeling in Business and Industry in the Era of Machine Learning and Artificial Intelligence?2025 Applied Stochastic Models in Business and Industry article Mathematics Statistical Methods and Applications Open access
Fabrizio Ruggeri, David L. Banks, William S. Cleveland, N. I. Fisher, Marcos Escobar‐Anel, Paolo Giudici, +13 more
8citations -
Identification of high‐dimensional omics‐derived predictors for tumor growth dynamics using machine learning and pharmacometric modeling2021 CPT Pharmacometrics & Systems Pharmacology article Mathematics Mathematical Biology Tumor Growth Open access
Laura B. Zwep, Kevin L. W. Duisters, Tingjie Guo, Jacqueline J. Meulman, Parth J. Upadhyay, J. G. Coen van Hasselt
5citations