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83 * ! Mon, 8/9/2021, 10:00 AM - 11:50 AM Virtual
Recent Methodological Developments and Applications in Statistical and Machine Learning Approaches for Predictive Modeling Using Competing Risk Data — Topic-Contributed Papers
Section on Risk Analysis, Section on Statistical Consulting, Section on Statistics in Epidemiology
Organizer(s): Nilotpal Sanyal, Stanford University School of Medicine
Chair(s): Maya Mathur, Stanford University
10:05 AM Scalable Algorithms for Large-Scale Competing Risks Data
Eric Kawaguchi, University of Southern California; Jenny Shen, University of California Los Angeles; Gang Li, University of California Los Angeles; Marc Suchard, University of California Los Angeles
10:25 AM Dynamic Prediction with Longitudinal Biomarkers in Competing Risks
Hein Putter, Leiden University Medical Center; Walter Dempsey, University of Michigan
10:45 AM Assessing the Predictive Performance of Biomarkers in the Presence of Competing Risks Due to Transplantation
Cuihong Zhang, The University of Texas Health Science Center at Houston; Jing Ning, The University of Texas MD Anderson Cancer Center; Steven Belle, University of Pittsburgh; Robert Squires, University of Pittsburgh; Jianwen Cai, The University of North Carolina at Chapel Hill; Ruosha Li, The University of Texas Health Science Center at Houston
11:05 AM Boosting for Mixture Cure Models Using Survival Data Under Competing Risks for High-Dimensional Data: Application to Second Primary Lung Cancer Data
Nilotpal Sanyal, Stanford University School of Medicine; Summer S. Han, Stanford University School of Medicine
11:25 AM Floor Discussion