JSM2026
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Topic-Contributed Paper Session

Dynamic Prediction Based on Longitudinal and Time-to-Event Data

Sun, Aug 2, 4:00 PM - 5:50 PM Room CC-258A Thomas M. Menino Convention & Exhibition Center
Xuelin HuangOrganizerYisheng LiChair
Biometrics Section co: Biopharmaceutical Sectionco: Lifetime Data Science Section Applied

5 Presentations

Covariate- and Measurement Time-Specific ROC Analysis for Longitudinal Biomarkers with Survival Outcome
4:05 PM - 4:25 PM
Ruosha Li (University of Texas School of Public Health)
Survival outcomeLongitudinal BiomarkerROC evaluation
Dynamic prediction of terminal clinical events using longitudinal continuous, categorical and recurrent event data
4:25 PM - 4:45 PM
Liang Li (University of Texas MD Anderson Cancer Center)
Dynamic predictionRecurrent eventsLandmark analysisMachine learningLongitudinal data analysisSurvival analysis
Extended Backward Joint Model Framework for Dynamic Prediction of Clinical Events with Multivariate Longitudinal Predictors
4:45 PM - 5:05 PM
Wenhao Li (Edwards Lifesciences)
Dynamic predictionJoint modelMultivariate longitudinal dataCategorical biomarkerSurvival analysis
Flexible hazards and cure models for dynamic prediction based on longitudinal biomarker measurements
5:05 PM - 5:25 PM
Xuelin Huang (University of Texas MD Anderson Cancer Center)
Co-authors: Can Xie (The University of Texas MD Anderson Cancer Center), Ruosha Li (University of Texas School of Public Health)
biomarkercuredynamic predictionlongitudinal datasurvival analysistreatment decision-making
Joint Dynamic Models and Statistical Inference for Recurrent Competing Risks, Longitudinal Marker, and Health Status
5:25 PM - 5:45 PM
Taeho Kim (Lehigh University)
Co-authors: Edsel Pena (University of South Carolina)
concordance correlation coefficientright-censored datasurvival analysis
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