3 papers
stat.ME2025
Likelihood-based Modeling of Covariate-Specific Time-Dependent ROC Curves
Ainesh Sewak, Vanda Inacio, Joanne Wuu +2
Identifying reliable biomarkers for predicting clinical events in longitudinal studies is important for accurate disease prognosis and for guiding development of new treatments. Ho…
stat.ME2024
Transformation Discriminant Analysis for Constructing Optimal Biomarker Combinations
Ainesh Sewak, Sandra Siegfried, Torsten Hothorn
Accurate diagnostic tests are essential for effective screening and treatment. However, individual biomarkers often fail to provide sufficient diagnostic accuracy, as they typicall…
stat.ME2022
Transformation models for ROC analysis
Ainesh Sewak, Torsten Hothorn
Receiver operating characteristic (ROC) analysis is one of the most popular approaches for evaluating and comparing the accuracy of medical diagnostic tests. Although various metho…