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Ben van Calster

Showing results (161-170 of 224) with videos related to

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Transfusion Medicine (Oxford, England)|May 11, 2022
Utility of pre-operative haemoglobin concentration to guide peri-operative blood tests for hip and knee arthroplasty: A decision curve analysisPaula Dhiman, Victoria N Gibbs, Gary S Collins, et al.
Journal of Clinical Epidemiology|July 2, 2021
Reporting of prognostic clinical prediction models based on machine learning methods in oncology needs to be improvedPaula Dhiman, Jie Ma, Constanza Andaur Navarro, et al.
Journal of Clinical Epidemiology|December 17, 2022
Minimal reporting improvement after peer review in reports of COVID-19 prediction models: systematic reviewMohammed T Hudda, Lucinda Archer, Maarten van Smeden, et al.
Circulation. Cardiovascular Quality and Outcomes|March 31, 2022
Generalizability of Cardiovascular Disease Clinical Prediction Models: 158 Independent External Validations of 104 Unique ModelsGaurav Gulati, Jenica Upshaw, Benjamin S Wessler, et al.
Diagnostic and Prognostic Research|July 6, 2022
Risk of bias of prognostic models developed using machine learning: a systematic review in oncologyPaula Dhiman, Jie Ma, Constanza L Andaur Navarro, et al.
BMJ (Clinical Research Ed.)|May 24, 2022
Validation of prediction models in the presence of competing risks: a guide through modern methodsNan van Geloven, Daniele Giardiello, Edouard F Bonneville, et al.
Journal of Clinical Epidemiology|March 19, 2023
Overinterpretation of findings in machine learning prediction model studies in oncology: a systematic reviewPaula Dhiman, Jie Ma, Constanza L Andaur Navarro, et al.
BMC Medical Research Methodology|April 9, 2022
Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic reviewPaula Dhiman, Jie Ma, Constanza L Andaur Navarro, et al.
Human Reproduction (Oxford, England)|June 11, 2016
Age-related differences in the sonographic characteristics of endometriomasStefano Guerriero, Ben Van Calster, Edgardo Somigliana, et al.
Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology|May 20, 2009
Relationship between age and axillary lymph node involvement in women with breast cancerHans Wildiers, Ben Van Calster, Lonneke V van de Poll-Franse, et al.
Pageof 23

Showing results (161-170 of 224) with videos related to

Sort By:
Pageof 23
Transfusion Medicine (Oxford, England)|May 11, 2022
Utility of pre-operative haemoglobin concentration to guide peri-operative blood tests for hip and knee arthroplasty: A decision curve analysisPaula Dhiman, Victoria N Gibbs, Gary S Collins, et al.
Journal of Clinical Epidemiology|July 2, 2021
Reporting of prognostic clinical prediction models based on machine learning methods in oncology needs to be improvedPaula Dhiman, Jie Ma, Constanza Andaur Navarro, et al.
Journal of Clinical Epidemiology|December 17, 2022
Minimal reporting improvement after peer review in reports of COVID-19 prediction models: systematic reviewMohammed T Hudda, Lucinda Archer, Maarten van Smeden, et al.
Circulation. Cardiovascular Quality and Outcomes|March 31, 2022
Generalizability of Cardiovascular Disease Clinical Prediction Models: 158 Independent External Validations of 104 Unique ModelsGaurav Gulati, Jenica Upshaw, Benjamin S Wessler, et al.
Diagnostic and Prognostic Research|July 6, 2022
Risk of bias of prognostic models developed using machine learning: a systematic review in oncologyPaula Dhiman, Jie Ma, Constanza L Andaur Navarro, et al.
BMJ (Clinical Research Ed.)|May 24, 2022
Validation of prediction models in the presence of competing risks: a guide through modern methodsNan van Geloven, Daniele Giardiello, Edouard F Bonneville, et al.
Journal of Clinical Epidemiology|March 19, 2023
Overinterpretation of findings in machine learning prediction model studies in oncology: a systematic reviewPaula Dhiman, Jie Ma, Constanza L Andaur Navarro, et al.
BMC Medical Research Methodology|April 9, 2022
Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic reviewPaula Dhiman, Jie Ma, Constanza L Andaur Navarro, et al.
Human Reproduction (Oxford, England)|June 11, 2016
Age-related differences in the sonographic characteristics of endometriomasStefano Guerriero, Ben Van Calster, Edgardo Somigliana, et al.
Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology|May 20, 2009
Relationship between age and axillary lymph node involvement in women with breast cancerHans Wildiers, Ben Van Calster, Lonneke V van de Poll-Franse, et al.
Pageof 23