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European Journal of Obstetrics, Gynecology, and Reproductive Biology
|
March 23, 2012
The independent effect of tumor size in predicting ovarian malignancy
Ben 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 machines
Ioannis 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 correlation
Laure 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 regression
Ruben 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 back
Georg Heinze, Maarten van Smeden, Laure Wynants, et al.
The Lancet. Digital Health
|
August 26, 2022
A deep-learning-enabled diagnosis of ovarian cancer
Ben 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 study
Lasai 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 ultrasonography
Dirk 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 methods
Ewout 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 study
Lasai Barreñada, Paula Dhiman, Dirk Timmerman, et al.
Page
of 23
Search research articles
Search
Showing results (41-50 of 224) with videos related to
Sort By:
Page
of 23
European Journal of Obstetrics, Gynecology, and Reproductive Biology
|
March 23, 2012
The independent effect of tumor size in predicting ovarian malignancy
Ben 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 machines
Ioannis 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 correlation
Laure 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 regression
Ruben 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 back
Georg Heinze, Maarten van Smeden, Laure Wynants, et al.
The Lancet. Digital Health
|
August 26, 2022
A deep-learning-enabled diagnosis of ovarian cancer
Ben 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 study
Lasai 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 ultrasonography
Dirk 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 methods
Ewout 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 study
Lasai Barreñada, Paula Dhiman, Dirk Timmerman, et al.
Page
of 23