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.ME2019
JointAI: Joint Analysis and Imputation of Incomplete Data in R
Nicole S. Erler, Dimitris Rizopoulos, Emmanuel M. E. H. Lesaffre
Missing data occur in many types of studies and typically complicate the analysis. Multiple imputation, either using joint modelling or the more flexible fully conditional specific…