Showing results (71-80 of 1,112) with videos related to

Sort By:
Pageof 112
Journal of Clinical Epidemiology|November 15, 2017
The proposed 'concordance-statistic for benefit' provided a useful metric when modeling heterogeneous treatment effectsDavid van Klaveren, Ewout W Steyerberg, Patrick W Serruys, 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.
Biometrics|July 25, 2018
Personalized schedules for surveillance of low-risk prostate cancer patientsAnirudh Tomer, Daan Nieboer, Monique J Roobol, et al.
Biostatistics (Oxford, England)|December 30, 2021
Individual participant data meta-analysis with mixed-effects transformation modelsBálint Tamási, Michael Crowther, Milo Alan Puhan, et al.
European Urology Oncology|August 22, 2019
Assessing a patient's individual risk of biopsy-detectable prostate cancer: Be aware of case mix heterogeneity and a priori likelihoodJan F M Verbeek, Daan Nieboer, Ewout W Steyerberg, et al.
Journal of Clinical Epidemiology|June 14, 2019
Models with interactions overestimated heterogeneity of treatment effects and were prone to treatment mistargetingDavid van Klaveren, Theodor A Balan, Ewout W Steyerberg, et al.
Statistics in Medicine|February 11, 2022
Shared decision making of burdensome surveillance tests using personalized schedules and their burden and benefitAnirudh Tomer, Daan Nieboer, Monique J Roobol, et al.
Medical Decision Making : an International Journal of the Society for Medical Decision Making|January 1, 2014
Sensitivity and specificity can change in opposite directions when new predictive markers are added to risk modelsBen Van Calster, Ewout W Steyerberg, Ralph B D'Agostino, et al.
Statistical Methods in Medical Research|May 14, 2020
Regression shrinkage methods for clinical prediction models do not guarantee improved performance: Simulation studyBen Van Calster, Maarten van Smeden, Bavo De Cock, et al.
Pageof 112