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Ben van Calster

Showing results (131-140 of 224) with videos related to

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BMJ Open|July 6, 2016
Doctors' experiences and their perception of the most stressful aspects of complaints processes in the UK: an analysis of qualitative survey dataTom Bourne, Joke Vanderhaegen, Renilt Vranken, et al.
European Urology|September 23, 2018
Reporting and Interpreting Decision Curve Analysis: A Guide for InvestigatorsBen Van Calster, Laure Wynants, Jan F M Verbeek, et al.
BMJ Open|March 2, 2022
Prognostic factors for post-traumatic stress, anxiety and depression in women after early pregnancy loss: a multi-centre prospective cohort studyJessica Farren, Maria Jalmbrant, Nora Falconieri, et al.
Journal of Medical Internet Research|October 17, 2025
Challenges and Recommendations for Electronic Health Records Data Extraction and Preparation for Dynamic Prediction Modeling in Hospitalized Patients: Practical Guide and TutorialElena Albu, Shan Gao, Pieter Stijnen, et al.
The Lancet. Digital Health|May 28, 2026
Critical appraisal of fairness metrics for artificial intelligence-based clinical prediction models: a scoping reviewJoão Matos, Ben Van Calster, Leo Anthony Celi, et al.
BMJ (Clinical Research Ed.)|February 7, 2023
Transparent reporting of multivariable prediction models developed or validated using clustered data (TRIPOD-Cluster): explanation and elaborationThomas P A Debray, Gary S Collins, Richard D Riley, et al.
Statistics in Medicine|January 8, 2019
Sample size considerations and predictive performance of multinomial logistic prediction modelsValentijn M T de Jong, Marinus J C Eijkemans, Ben van Calster, et al.
BMJ (Clinical Research Ed.)|January 22, 2024
Evaluation of clinical prediction models (part 3): calculating the sample size required for an external validation studyRichard D Riley, Kym I E Snell, Lucinda Archer, et al.
Journal of the National Cancer Institute|November 15, 2007
Discrimination between benign and malignant adnexal masses by specialist ultrasound examination versus serum CA-125Ben Van Calster, Dirk Timmerman, Tom Bourne, et al.
BMJ (Clinical Research Ed.)|February 7, 2023
Transparent reporting of multivariable prediction models developed or validated using clustered data: TRIPOD-Cluster checklistThomas P A Debray, Gary S Collins, Richard D Riley, et al.
Pageof 23

Showing results (131-140 of 224) with videos related to

Sort By:
Pageof 23
BMJ Open|July 6, 2016
Doctors' experiences and their perception of the most stressful aspects of complaints processes in the UK: an analysis of qualitative survey dataTom Bourne, Joke Vanderhaegen, Renilt Vranken, et al.
European Urology|September 23, 2018
Reporting and Interpreting Decision Curve Analysis: A Guide for InvestigatorsBen Van Calster, Laure Wynants, Jan F M Verbeek, et al.
BMJ Open|March 2, 2022
Prognostic factors for post-traumatic stress, anxiety and depression in women after early pregnancy loss: a multi-centre prospective cohort studyJessica Farren, Maria Jalmbrant, Nora Falconieri, et al.
Journal of Medical Internet Research|October 17, 2025
Challenges and Recommendations for Electronic Health Records Data Extraction and Preparation for Dynamic Prediction Modeling in Hospitalized Patients: Practical Guide and TutorialElena Albu, Shan Gao, Pieter Stijnen, et al.
The Lancet. Digital Health|May 28, 2026
Critical appraisal of fairness metrics for artificial intelligence-based clinical prediction models: a scoping reviewJoão Matos, Ben Van Calster, Leo Anthony Celi, et al.
BMJ (Clinical Research Ed.)|February 7, 2023
Transparent reporting of multivariable prediction models developed or validated using clustered data (TRIPOD-Cluster): explanation and elaborationThomas P A Debray, Gary S Collins, Richard D Riley, et al.
Statistics in Medicine|January 8, 2019
Sample size considerations and predictive performance of multinomial logistic prediction modelsValentijn M T de Jong, Marinus J C Eijkemans, Ben van Calster, et al.
BMJ (Clinical Research Ed.)|January 22, 2024
Evaluation of clinical prediction models (part 3): calculating the sample size required for an external validation studyRichard D Riley, Kym I E Snell, Lucinda Archer, et al.
Journal of the National Cancer Institute|November 15, 2007
Discrimination between benign and malignant adnexal masses by specialist ultrasound examination versus serum CA-125Ben Van Calster, Dirk Timmerman, Tom Bourne, et al.
BMJ (Clinical Research Ed.)|February 7, 2023
Transparent reporting of multivariable prediction models developed or validated using clustered data: TRIPOD-Cluster checklistThomas P A Debray, Gary S Collins, Richard D Riley, et al.
Pageof 23