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Karel Gm Moons

Showing results (1-10 of 22) with videos related to

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Health Services Insights|August 8, 2018
Investigating Risk Adjustment Methods for Health Care Provider Profiling When Observations are Scarce or Events RareTimo B Brakenhoff, Karel Gm Moons, Jolanda Kluin, et al.
Statistical Methods in Medical Research|May 9, 2017
Meta-analysis of prediction model performance across multiple studies: Which scale helps ensure between-study normality for the C-statistic and calibration measures?Kym Ie Snell, Joie Ensor, Thomas Pa Debray, et al.
Journal of Clinical Epidemiology|March 29, 2021
Clinical prediction models: diagnosis versus prognosisMaarten van Smeden, Johannes B Reitsma, Richard D Riley, et al.
Diagnostic and Prognostic Research|December 4, 2025
Explainable AI in healthcare: to explain, to predict, or to describe?Alex Carriero, Anne de Hond, Bram Cappers, et al.
Statistical Methods in Medical Research|August 5, 2016
An overview of methods for network meta-analysis using individual participant data: when do benefits arise?Thomas Pa Debray, Ewoud Schuit, Orestis Efthimiou, et al.
The Cochrane Database of Systematic Reviews|December 21, 2021
The comparative and added prognostic value of biomarkers to the Revised Cardiac Risk Index for preoperative prediction of major adverse cardiac events and all-cause mortality in patients who undergo noncardiac surgeryLisette M Vernooij, Wilton A van Klei, Karel Gm Moons, et al.
Diagnostic and Prognostic Research|May 17, 2019
A generic nomogram for multinomial prediction models: theory and guidance for constructionMaarten van Smeden, Joris Ah de Groot, Stavros Nikolakopoulos, et al.
Statistics in Medicine|October 26, 2018
Minimum sample size for developing a multivariable prediction model: PART II - binary and time-to-event outcomesRichard D Riley, Kym Ie Snell, Joie Ensor, et al.
Statistical Methods in Medical Research|July 4, 2018
Sample size for binary logistic prediction models: Beyond events per variable criteriaMaarten van Smeden, Karel Gm Moons, Joris Ah de Groot, et al.
Statistical Methods in Medical Research|July 24, 2018
A framework for meta-analysis of prediction model studies with binary and time-to-event outcomesThomas Pa Debray, Johanna Aag Damen, Richard D Riley, et al.
Pageof 3

Showing results (1-10 of 22) with videos related to

Sort By:
Pageof 3
Health Services Insights|August 8, 2018
Investigating Risk Adjustment Methods for Health Care Provider Profiling When Observations are Scarce or Events RareTimo B Brakenhoff, Karel Gm Moons, Jolanda Kluin, et al.
Statistical Methods in Medical Research|May 9, 2017
Meta-analysis of prediction model performance across multiple studies: Which scale helps ensure between-study normality for the C-statistic and calibration measures?Kym Ie Snell, Joie Ensor, Thomas Pa Debray, et al.
Journal of Clinical Epidemiology|March 29, 2021
Clinical prediction models: diagnosis versus prognosisMaarten van Smeden, Johannes B Reitsma, Richard D Riley, et al.
Diagnostic and Prognostic Research|December 4, 2025
Explainable AI in healthcare: to explain, to predict, or to describe?Alex Carriero, Anne de Hond, Bram Cappers, et al.
Statistical Methods in Medical Research|August 5, 2016
An overview of methods for network meta-analysis using individual participant data: when do benefits arise?Thomas Pa Debray, Ewoud Schuit, Orestis Efthimiou, et al.
The Cochrane Database of Systematic Reviews|December 21, 2021
The comparative and added prognostic value of biomarkers to the Revised Cardiac Risk Index for preoperative prediction of major adverse cardiac events and all-cause mortality in patients who undergo noncardiac surgeryLisette M Vernooij, Wilton A van Klei, Karel Gm Moons, et al.
Diagnostic and Prognostic Research|May 17, 2019
A generic nomogram for multinomial prediction models: theory and guidance for constructionMaarten van Smeden, Joris Ah de Groot, Stavros Nikolakopoulos, et al.
Statistics in Medicine|October 26, 2018
Minimum sample size for developing a multivariable prediction model: PART II - binary and time-to-event outcomesRichard D Riley, Kym Ie Snell, Joie Ensor, et al.
Statistical Methods in Medical Research|July 4, 2018
Sample size for binary logistic prediction models: Beyond events per variable criteriaMaarten van Smeden, Karel Gm Moons, Joris Ah de Groot, et al.
Statistical Methods in Medical Research|July 24, 2018
A framework for meta-analysis of prediction model studies with binary and time-to-event outcomesThomas Pa Debray, Johanna Aag Damen, Richard D Riley, et al.
Pageof 3