activity
20222026
most citedPerformance evaluation of predictive AI models to support medical decisions: Overview and guidance

14 citations · 36 across the 5 of their papers we have counts for

collaborators

6 papers

stat.ME2026

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…

stat.AP2026

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…

stat.AP2025★ 3 cited

Bayesian sample size calculations for external validation studies of risk prediction models

Mohsen Sadatsafavi, Paul Gustafson, Solmaz Setayeshgar +2

Contemporary sample size calculations for external validation of risk prediction models require users to specify fixed values of assumed model performance metrics alongside target…

cs.LG2024★ 14 cited

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…

stat.AP2024★ 5 cited

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…

stat.AP2022★ 14 cited

Value of Information Analysis for External Validation of Risk Prediction Models

Mohsen Sadatsafavi, Tae Yoon Lee, Laure Wynants +2

Background: Before being used to inform patient care, a risk prediction model needs to be validated in a representative sample from the target population. The finite size of the va…