14 citations · 19 across the 3 of their papers we have counts for
3 papers
Value-of-Information Analysis for External Validation of Risk Prediction Models in Multicenter Studies and Systematic Reviews
Laure Wynants, Kim Zhipei Wang, Sabine Grimm +5
External validation studies have finite sample sizes, creating uncertainty about whether a prediction model's Net Benefit (NB) exceeds default strategies' NB. The expected value of…
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…
The expected value of sample information calculations for external validation of risk prediction models
Mohsen Sadatsafavi, Andrew J Vickers, Tae Yoon Lee +2
In designing external validation studies of clinical prediction models, contemporary sample size calculation methods are based on the frequentist inferential paradigm. One of the w…