3 papers
stat.ML2026
Ensemble Machine Learning and Statistical Procedures for Dynamic Predictions of Time-to-Event Outcomes
Nina van Gerwen, Sten Willemsen, Bettina E. Hansen +9
Dynamic predictions for longitudinal and time-to-event outcomes have become a versatile tool in precision medicine. Our work is motivated by the application of dynamic predictions…
stat.ME2025
Time-dependent Predictive Accuracy Metrics in the Context of Interval Censoring and Competing Risks
Zhenwei Yang, Dimitris Rizopoulos, Lisa F. Newcomb +1
Evaluating the performance of a prediction model is a common task in medical statistics. Standard accuracy metrics require the observation of the true outcomes. This is typically n…
stat.ME2025
A Bayesian Joint Modelling for Misclassified Interval-censoring and Competing Risks
Zhenwei Yang, Dimitris Rizopoulos, Eveline A. M. Heijnsdijk +2
In active surveillance of prostate cancer, cancer progression is interval-censored and the examination to detect progression is subject to misclassification, usually false negative…