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Calster, B. van
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Steyerberg, E.W.
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Smeden, M. van
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Wynants, L.
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Perspectives on validation of clinical predictive algorithms
There is no such thing as a validated prediction model
Assessing performance and clinical usefulness in prediction models with survival outcomes
Validation of prediction models in the presence of competing risks: a guide through modern methods
Generalizability of cardiovascular disease clinical prediction models
Prediction models: stepwise development and simultaneous validation is a step back
Validation of prediction models in the presence of competing risks
External validations of cardiovascular clinical prediction models: a large-scale review of the literature
ROC curves for clinical prediction models part 1. ROC plots showed no added value above the AUC when evaluating the performance of clinical prediction models
ROC curves for clinical prediction models part 3. The ROC plot
Machine learning algorithms performed no better than regression models for prognostication in traumatic brain injury
Regression shrinkage methods for clinical prediction models do not guarantee improved performance
Redefining significance and reproducibility for medical research: A plea for higher P-value thresholds for diagnostic and prognostic models
Prediction models for diagnosis and prognosis of covid-19 infection: systematic review and critical appraisal
Changing predictor measurement procedures affected the performance of prediction models in clinical examples
Statistics versus machine learning: definitions are interesting (but understanding, methodology, and reporting are more important)
Calibration: the Achilles heel of predictive analytics
Three myths about risk thresholds for prediction models
Impact of predictor measurement heterogeneity across settings on the performance of prediction models: A measurement error perspective
A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models
Trebananib or placebo plus carboplatin and paclitaxel as first-line treatment for advanced ovarian cancer (TRINOVA-3/ENGOT-ov2/GOG-3001): a randomised, double-blind, phase 3 trial
Artificial Intelligence Algorithms for Medical Prediction Should Be Nonproprietary and Readily Available
Sample size considerations and predictive performance of multinomial logistic prediction models
Reporting and Interpreting Decision Curve Analysis: A Guide for Investigators
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