Maarten van Smeden

Calculating the sample size required for developing a clinical prediction model

Richard D Riley, Joie Ensor, Kym I E Snell et al. · BMJ · 2020 · 2.5K citations · Full text

Computing, Biostatistics, Health Informatics +17

TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods

Gary S. Collins, Karel G.M. Moons, Paula Dhiman et al. · BMJ · 2024 · 2.2K citations · Full text

Computing, Biostatistics, Health Informatics +17

Calibration: the Achilles heel of predictive analytics

Ben Van Calster, David J. McLernon, Maarten van Smeden et al. · BMC Medicine · 2019 · 1.9K citations · Full text

Computing, Biostatistics, Clinical Decision Support +16

Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence

Gary S. Collins, Paula Dhiman, Constanza L. Andaur Navarro et al. · BMJ Open · 2021 · 803 citations · Full text

Computing, Computer Science, Data Science +17

Sample size for binary logistic prediction models: Beyond events per variable criteria

Maarten van Smeden, Karel G. M. Moons, Joris A. H. de Groot et al. · Statistical Methods in Medical Research · 2018 · 753 citations · Full text

Computing, Biostatistics, Clinical Sciences +17