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
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
