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Diagnostic and Prognostic Research|January 12, 2021
Continual updating and monitoring of clinical prediction models: time for dynamic prediction systems?David A Jenkins, Glen P Martin, Matthew Sperrin, et al.Statistics in Medicine|October 26, 2018
Minimum sample size for developing a multivariable prediction model: PART II - binary and time-to-event outcomesRichard D Riley, Kym Ie Snell, Joie Ensor, et al.Sports Medicine (Auckland, N.Z.)|May 9, 2023
The Trade Secret Taboo: Open Science Methods are Required to Improve Prediction Models in Sports Medicine and PerformanceGarrett S Bullock, Patrick Ward, Franco M Impellizzeri, et al.Statistics in Medicine|May 25, 2021
Minimum sample size for external validation of a clinical prediction model with a binary outcomeRichard D Riley, Thomas P A Debray, Gary S Collins, et al.Statistical Methods in Medical Research|July 24, 2018
A framework for meta-analysis of prediction model studies with binary and time-to-event outcomesThomas Pa Debray, Johanna Aag Damen, Richard D Riley, et al.Statistics in Medicine|October 23, 2018
Minimum sample size for developing a multivariable prediction model: Part I - Continuous outcomesRichard D Riley, Kym I E Snell, Joie Ensor, et al.Journal of Clinical Epidemiology|October 28, 2023
Open science practices need substantial improvement in prognostic model studies in oncology using machine learningGary S Collins, Rebecca Whittle, Garrett S Bullock, et al.Journal of Clinical Epidemiology|January 15, 2025
Larger sample sizes are needed when developing a clinical prediction model using machine learning in oncology: methodological systematic reviewBiruk Tsegaye, Kym I E Snell, Lucinda Archer, et al.Journal of Clinical Epidemiology|February 17, 2021
External validation of clinical prediction models: simulation-based sample size calculations were more reliable than rules-of-thumbKym I E Snell, Lucinda Archer, Joie Ensor, et al.The Lancet. Digital Health|May 28, 2026
Critical appraisal of fairness metrics for artificial intelligence-based clinical prediction models: a scoping reviewJoão Matos, Ben Van Calster, Leo Anthony Celi, et al.Pageof 51