Maarten van Smeden
Maarten van Smeden
University Medical Center Utrecht
Geverifieerd e-mailadres voor umcutrecht.nl - Homepage
Geciteerd door
Geciteerd door
Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal
L Wynants, B Van Calster, GS Collins, RD Riley, G Heinze, E Schuit, ...
BMJ, 2020
Calculating the sample size required for developing a clinical prediction model
RD Riley, J Ensor, KIE Snell, FE Harrell, GP Martin, JB Reitsma, ...
BMJ, 2020
Calibration: the Achilles heel of predictive analytics
B Van Calster, DJ McLernon, M van Smeden, L Wynants, EW Steyerberg
BMC medicine 17 (1), 1-7, 2019
Sample size for binary logistic prediction models: beyond events per variable criteria
M van Smeden, KGM Moons, JAH de Groot, GS Collins, DG Altman, ...
Statistical methods in medical research 28 (8), 2455-2474, 2019
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 …
GS Collins, P Dhiman, CLA Navarro, J Ma, L Hooft, JB Reitsma, P Logullo, ...
BMJ open 11 (7), e048008, 2021
No rationale for 1 variable per 10 events criterion for binary logistic regression analysis
M van Smeden, JAH de Groot, KGM Moons, GS Collins, DG Altman, ...
BMC medical research methodology 16 (1), 1-12, 2016
Development and validation of the ISARIC 4C Deterioration model for adults hospitalised with COVID-19: a prospective cohort study
RK Gupta, EM Harrison, A Ho, AB Docherty, SR Knight, M van Smeden, ...
The Lancet respiratory medicine, 2021
Latent class models in diagnostic studies when there is no reference standard—a systematic review
M van Smeden, CA Naaktgeboren, JB Reitsma, KGM Moons, ...
American journal of epidemiology 179 (4), 423-431, 2014
Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review
AAH de Hond, AM Leeuwenberg, L Hooft, IMJ Kant, SWJ Nijman, ...
npj Digital medicine 5 (1), 1-13, 2022
Systematic evaluation and external validation of 22 prognostic models among hospitalised adults with COVID-19: An observational cohort study
RK Gupta, M Marks, THA Samuels, A Luintel, T Rampling, H Chowdhury, ...
European respiratory journal, 2020
Time to reality check the promises of machine learning-powered precision medicine
J Wilkinson, KF Arnold, EJ Murray, M van Smeden, K Carr, R Sippy, ...
The Lancet digital health, 2020
Minimum sample size for external validation of a clinical prediction model with a binary outcome
RD Riley, TPA Debray, GS Collins, L Archer, J Ensor, M van Smeden, ...
Statistics in medicine, 2021
Metrics reloaded: Pitfalls and recommendations for image analysis validation
L Maier-Hein, B Menze
arXiv. org, 2022
Cardiac complications in patients hospitalised with COVID-19
M Linschoten, S Peters, M van Smeden, LS Jewbali, J Schaap, ...
European heart journal: acute cardiovascular care 9 (8), 817-823, 2020
Common limitations of image processing metrics: A picture story
A Reinke, MD Tizabi, CH Sudre, M Eisenmann, T Rädsch, M Baumgartner, ...
arXiv preprint arXiv:2104.05642, 2021
Reflection on modern methods: five myths about measurement error in epidemiological research
M van Smeden, TL Lash, RHH Groenwold
International journal of epidemiology 49 (1), 338-347, 2020
Three myths about risk thresholds for prediction models
L Wynants, M Van Smeden, DJ McLernon, D Timmerman, EW Steyerberg, ...
BMC medicine 17, 1-7, 2019
Sample size considerations and predictive performance of multinomial logistic prediction models
VMT de Jong, MJC Eijkemans, B van Calster, D Timmerman, KGM Moons, ...
Statistics in medicine 38 (9), 1601-1619, 2019
The harm of class imbalance corrections for risk prediction models: illustration and simulation using logistic regression
R Goorbergh, M van Smeden, D Timmerman, B Van Calster
Journal of the American medical informatics association, 2022
Value of composite reference standards in diagnostic research
CA Naaktgeboren, LCM Bertens, M van Smeden, JAH de Groot, ...
BMJ, 2013
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