55 citations · 157 across the 14 of their papers we have counts for
16 papers
Population-Level Decision Curve Analysis May Mislead the Evaluation of Prediction Model Usefulness under Subgroup Utility Heterogeneity
Junfeng Wang, Kim Zhipei Wang, Ben Van Calster +3
Background Decision curve analysis (DCA) evaluates prediction model usefulness using net benefit (NB). Population-level NB is often interpreted as a proxy for population-level expe…
Optimizing for the decision not the prediction: an exploration of Smooth Net Benefit as a training objective
Koen M. F. Gorgels, Lasai Barreñada, Maarten van Smeden +3
Objective Prediction models are commonly trained using objectives such as Bernoulli negative log-likelihood (NLL), although downstream clinical decisions may depend on specific ris…
Performance evaluation of predictive AI models to support medical decisions: Overview and guidance
Ben Van Calster, Gary S. Collins, Andrew J. Vickers +11
A myriad of measures to illustrate performance of predictive artificial intelligence (AI) models have been proposed in the literature. Selecting appropriate performance measures is…
Empirical Evidence That There Is No Such Thing As A Validated Prediction Model
Florian D. van Leeuwen, Ewout W. Steyerberg, David van Klaveren +3
Background: External validations are essential to assess clinical prediction models (CPMs) before deployment. Apart from model misspecification, differences in patient population a…
Mining the contribution of intensive care clinical course to outcome after traumatic brain injury
Shubhayu Bhattacharyay, Pier Francesco Caruso, Cecilia Åkerlund +7
Existing methods to characterise the evolving condition of traumatic brain injury (TBI) patients in the intensive care unit (ICU) do not capture the context necessary for individua…
Individualized treatment effect was predicted best by modeling baseline risk in interaction with treatment assignment
Alexandros Rekkas, Peter R. Rijnbeek, David M. Kent +2
Objective: To compare different risk-based methods for optimal prediction of treatment effects. Methods: We simulated RCT data using diverse assumptions for the average treatment e…