Maarten van Smeden

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Katkıda bulunan yazarlar

Ben Van CalsterProfessor of Medical Statistics, KU Leuvenkuleuven.be üzerinde doğrulanmış e-posta adresine sahip
Gary S. CollinsProfessor of Medical Statistics, Centre for Statistics in Medicine, University of Oxfordcsm.ox.ac.uk üzerinde doğrulanmış e-posta adresine sahip
Richard D RileyUniversity of Birmingham, UK.bham.ac.uk üzerinde doğrulanmış e-posta adresine sahip
Ewout W. SteyerbergProfessor of Clinical Biostatistics and Medical Decision Making, LUMC & Erasmus MClumc.nl üzerinde doğrulanmış e-posta adresine sahip
Rolf Groenwoldprofessor of Clinical Epidemiology, LUMC, Leiden Universitylumc.nl üzerinde doğrulanmış e-posta adresine sahip
Wynants L.Assistant Professor Maastricht University; KU Leuvenkuleuven.be üzerinde doğrulanmış e-posta adresine sahip
Kym SnellUniversity of Birminghambham.ac.uk üzerinde doğrulanmış e-posta adresine sahip
Geert-Jan GeersingProfessor, Julius Center for Health Sciences and Primary Care, University Medical Centerumcutrecht.nl üzerinde doğrulanmış e-posta adresine sahip
Joie EnsorUniversity of Birminghambham.ac.uk üzerinde doğrulanmış e-posta adresine sahip
Ewoud SchuitJulius Center for Health Sciences and Primary Care, UMC Utrechtumcutrecht.nl üzerinde doğrulanmış e-posta adresine sahip
Kim LuijkenUniversity Medical Center Utrechtumcutrecht.nl üzerinde doğrulanmış e-posta adresine sahip
Anne de HondAssistant professor Julius Centre, University Medical Centre Utrechtumcutrecht.nl üzerinde doğrulanmış e-posta adresine sahip
Frank Harrellduke university, university of virginia, vanderbilt universityvanderbilt.edu üzerinde doğrulanmış e-posta adresine sahip
Johannes B. ReitsmaAssociate professor, Julius Center, University Medical Center Utrecht, The Netherlandsumcutrecht.nl üzerinde doğrulanmış e-posta adresine sahip
Georg HeinzeBiostatistician, Medical University of Viennameduniwien.ac.at üzerinde doğrulanmış e-posta adresine sahip
Douglas G AltmanCentre for Statistics in Medicine, University of Oxfordcsm.ox.ac.uk üzerinde doğrulanmış e-posta adresine sahip
Nandini DendukuriMcGill Universitymcgill.ca üzerinde doğrulanmış e-posta adresine sahip
Darren DahlyHRB Clinical Research Facility UCC. School of Public Health, University College Cork,ucc.ie üzerinde doğrulanmış e-posta adresine sahip

Takip et

Maarten van Smeden

University Medical Center Utrecht

umcutrecht.nl üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa

Medical statistics Methods Prediction Data science Machine learning


Başlık Alıntılara göre sırala Yıla göre sırala Başlığa göre sırala	Alıntı yapanlar Alıntı yapanlar	Yıl
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	3375	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	1654	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	1246	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	618	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	574	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	499	2016
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods GS Collins, KGM Moons, P Dhiman, RD Riley, AL Beam, B Van Calster, ... bmj 385, 2024	352	2024
Metrics reloaded: recommendations for image analysis validation L Maier-Hein, A Reinke, P Godau, MD Tizabi, F Buettner, E Christodoulou, ... Nature methods 21 (2), 195-212, 2024	326*	2024
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	320	2022
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	240	2014
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	237	2021
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	233	2021
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	233	2020
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	232	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	214	2021
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	189	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	172	2020
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	159	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	159	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	156	2019

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