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Journal of Clinical Epidemiology
|
August 20, 2019
Statistics versus machine learning: definitions are interesting (but understanding, methodology, and reporting are more important)
Ben Van Calster, Jan Y Verbakel, Evangelia Christodoulou, et al.
Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology
|
December 4, 2013
Reply to D. Crivellari et al
Sileny N Han, Sibylle Loibl, Ben Van Calster, et al.
Plos One
|
October 11, 2016
Explaining Support Vector Machines: A Color Based Nomogram
Vanya Van Belle, Ben Van Calster, Sabine Van Huffel, et al.
Journal of Clinical Epidemiology
|
August 3, 2023
Systematic review finds risk of bias and applicability concerns for models predicting central line-associated bloodstream infection
Shan Gao, Elena Albu, Krizia Tuand, et al.
Acta Obstetricia Et Gynecologica Scandinavica
|
July 29, 2025
Burnout, wellbeing and defensive medical practice in obstetricians and gynecologists in the UK before and after the COVID pandemic: A repeated cross-sectional survey study
Nina Parker, Nora Falconieri, Harsha Shah, et al.
Journal of Biomedical Informatics
|
June 7, 2024
Understanding random resampling techniques for class imbalance correction and their consequences on calibration and discrimination of clinical risk prediction models
Marco Piccininni, Maximilian Wechsung, Ben Van Calster, et al.
Journal of Clinical Epidemiology
|
January 17, 2016
A calibration hierarchy for risk models was defined: from utopia to empirical data
Ben Van Calster, Daan Nieboer, Yvonne Vergouwe, et al.
Journal of Clinical Epidemiology
|
February 15, 2019
A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models
Evangelia Christodoulou, Jie Ma, Gary S Collins, et al.
Neuropsychopharmacology : Official Publication of the American College of Neuropsychopharmacology
|
May 18, 2007
Antenatal maternal anxiety is related to HPA-axis dysregulation and self-reported depressive symptoms in adolescence: a prospective study on the fetal origins of depressed mood
Bea R H Van den Bergh, Ben Van Calster, Tim Smits, et al.
BMC Medicine
|
October 26, 2019
Three myths about risk thresholds for prediction models
Laure Wynants, Maarten van Smeden, David J McLernon, et al.
Page
of 23
Search research articles
Search
Showing results (61-70 of 224) with videos related to
Sort By:
Page
of 23
Journal of Clinical Epidemiology
|
August 20, 2019
Statistics versus machine learning: definitions are interesting (but understanding, methodology, and reporting are more important)
Ben Van Calster, Jan Y Verbakel, Evangelia Christodoulou, et al.
Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology
|
December 4, 2013
Reply to D. Crivellari et al
Sileny N Han, Sibylle Loibl, Ben Van Calster, et al.
Plos One
|
October 11, 2016
Explaining Support Vector Machines: A Color Based Nomogram
Vanya Van Belle, Ben Van Calster, Sabine Van Huffel, et al.
Journal of Clinical Epidemiology
|
August 3, 2023
Systematic review finds risk of bias and applicability concerns for models predicting central line-associated bloodstream infection
Shan Gao, Elena Albu, Krizia Tuand, et al.
Acta Obstetricia Et Gynecologica Scandinavica
|
July 29, 2025
Burnout, wellbeing and defensive medical practice in obstetricians and gynecologists in the UK before and after the COVID pandemic: A repeated cross-sectional survey study
Nina Parker, Nora Falconieri, Harsha Shah, et al.
Journal of Biomedical Informatics
|
June 7, 2024
Understanding random resampling techniques for class imbalance correction and their consequences on calibration and discrimination of clinical risk prediction models
Marco Piccininni, Maximilian Wechsung, Ben Van Calster, et al.
Journal of Clinical Epidemiology
|
January 17, 2016
A calibration hierarchy for risk models was defined: from utopia to empirical data
Ben Van Calster, Daan Nieboer, Yvonne Vergouwe, et al.
Journal of Clinical Epidemiology
|
February 15, 2019
A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models
Evangelia Christodoulou, Jie Ma, Gary S Collins, et al.
Neuropsychopharmacology : Official Publication of the American College of Neuropsychopharmacology
|
May 18, 2007
Antenatal maternal anxiety is related to HPA-axis dysregulation and self-reported depressive symptoms in adolescence: a prospective study on the fetal origins of depressed mood
Bea R H Van den Bergh, Ben Van Calster, Tim Smits, et al.
BMC Medicine
|
October 26, 2019
Three myths about risk thresholds for prediction models
Laure Wynants, Maarten van Smeden, David J McLernon, et al.
Page
of 23