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Ben Van Calster

Showing results (41-50 of 224) with videos related to

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European Journal of Obstetrics, Gynecology, and Reproductive Biology|March 23, 2012
The independent effect of tumor size in predicting ovarian malignancyBen Van Calster, Laure Wynants, Jeroen Kaijser, et al.
Medical Decision Making : an International Journal of the Society for Medical Decision Making|July 17, 2009
Evaluation of imputation methods in ovarian tumor diagnostic models using generalized linear models and support vector machinesIoannis Dimou, Ben Van Calster, Sabine Van Huffel, et al.
BMC Medical Research Methodology|October 25, 2013
Screening for data clustering in multicenter studies: the residual intraclass correlationLaure Wynants, Dirk Timmerman, Tom Bourne, et al.
Journal of the American Medical Informatics Association : JAMIA|June 10, 2022
The harm of class imbalance corrections for risk prediction models: illustration and simulation using logistic regressionRuben van den Goorbergh, Maarten van Smeden, Dirk Timmerman, et al.
Journal of Clinical Epidemiology|August 4, 2021
Prediction models: stepwise development and simultaneous validation is a step backGeorg Heinze, Maarten van Smeden, Laure Wynants, et al.
The Lancet. Digital Health|August 26, 2022
A deep-learning-enabled diagnosis of ovarian cancerBen Van Calster, Stefan Timmerman, Axel Geysels, et al.
Diagnostic and Prognostic Research|April 2, 2025
Correction: Understanding overfitting in random forest for probability estimation: a visualization and simulation studyLasai Barreñada, Paula Dhiman, Dirk Timmerman, et al.
International Journal of Gynecological Cancer : Official Journal of the International Gynecological Cancer Society|May 1, 2012
Characterizing ovarian pathology: refining the performance of ultrasonographyDirk Timmerman, Tom Bourne, Sylvie De Rijdt, et al.
Journal of Clinical Epidemiology|November 28, 2017
Poor performance of clinical prediction models: the harm of commonly applied methodsEwout W Steyerberg, Hajime Uno, John P A Ioannidis, et al.
Diagnostic and Prognostic Research|September 28, 2024
Understanding overfitting in random forest for probability estimation: a visualization and simulation studyLasai Barreñada, Paula Dhiman, Dirk Timmerman, et al.
Pageof 23

Showing results (41-50 of 224) with videos related to

Sort By:
Pageof 23
European Journal of Obstetrics, Gynecology, and Reproductive Biology|March 23, 2012
The independent effect of tumor size in predicting ovarian malignancyBen Van Calster, Laure Wynants, Jeroen Kaijser, et al.
Medical Decision Making : an International Journal of the Society for Medical Decision Making|July 17, 2009
Evaluation of imputation methods in ovarian tumor diagnostic models using generalized linear models and support vector machinesIoannis Dimou, Ben Van Calster, Sabine Van Huffel, et al.
BMC Medical Research Methodology|October 25, 2013
Screening for data clustering in multicenter studies: the residual intraclass correlationLaure Wynants, Dirk Timmerman, Tom Bourne, et al.
Journal of the American Medical Informatics Association : JAMIA|June 10, 2022
The harm of class imbalance corrections for risk prediction models: illustration and simulation using logistic regressionRuben van den Goorbergh, Maarten van Smeden, Dirk Timmerman, et al.
Journal of Clinical Epidemiology|August 4, 2021
Prediction models: stepwise development and simultaneous validation is a step backGeorg Heinze, Maarten van Smeden, Laure Wynants, et al.
The Lancet. Digital Health|August 26, 2022
A deep-learning-enabled diagnosis of ovarian cancerBen Van Calster, Stefan Timmerman, Axel Geysels, et al.
Diagnostic and Prognostic Research|April 2, 2025
Correction: Understanding overfitting in random forest for probability estimation: a visualization and simulation studyLasai Barreñada, Paula Dhiman, Dirk Timmerman, et al.
International Journal of Gynecological Cancer : Official Journal of the International Gynecological Cancer Society|May 1, 2012
Characterizing ovarian pathology: refining the performance of ultrasonographyDirk Timmerman, Tom Bourne, Sylvie De Rijdt, et al.
Journal of Clinical Epidemiology|November 28, 2017
Poor performance of clinical prediction models: the harm of commonly applied methodsEwout W Steyerberg, Hajime Uno, John P A Ioannidis, et al.
Diagnostic and Prognostic Research|September 28, 2024
Understanding overfitting in random forest for probability estimation: a visualization and simulation studyLasai Barreñada, Paula Dhiman, Dirk Timmerman, et al.
Pageof 23