collaborators

5 papers

stat.CO2026

Efficient Variance Estimation for the Polytomous Discrimination Index

Qunqiang Feng, Taozheng Jia, Pan Liu +2

Evaluating diagnostic accuracy for multi-category outcomes remains a significant challenge, primarily due to computational limitations in existing performance metrics. The Polytomo…

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.ME2026

The fundamental problem of risk prediction for individuals: health AI, uncertainty, and personalized medicine

Lasai Barreñada, Ewout W Steyerberg, Dirk Timmerman +3

Background and Objective: Clinical prediction models are commonly evaluated regarding performance for a population, although decisions are made for individuals. The classic view re…

cs.LG2025

Critical Appraisal of Fairness Metrics in Clinical Predictive AI

João Matos, Ben Van Calster, Leo Anthony Celi +6

Predictive artificial intelligence (AI) offers an opportunity to improve clinical practice and patient outcomes, but risks perpetuating biases if fairness is inadequately addressed…

cs.LG2025

Challenges and recommendations for Electronic Health Records data extraction and preparation for dynamic prediction modelling in hospitalized patients -- a practical guide

Elena Albu, Shan Gao, Pieter Stijnen +6

Dynamic predictive modelling using electronic health record (EHR) data has gained significant attention in recent years. The reliability and trustworthiness of such models depend h…