3 papers
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.ME2024
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…
stat.ME2022
Personalized Biopsy Schedules Using an Interval-censored Cause-specific Joint Model
Zhenwei Yang, Dimitris Rizopoulos, Eveline A. M. Heijnsdijk +2
Active surveillance (AS), where biopsies are conducted to detect cancer progression, has been acknowledged as an efficient way to reduce the overtreatment of prostate cancer. Most…