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22 * ! Sun, 8/7/2022, 2:00 PM - 3:50 PM CC-149AB
Statistical Learning in Cancer Medicine: From Early-Phase Trials to Preclinical Systems — Topic Contributed Papers
International Chinese Statistical Association, Biometrics Section, Section on Statistical Learning and Data Science
Organizer(s): Li-Xuan Qin, Memorial Sloan Kettering Cancer Center
Chair(s): Li-Xuan Qin, Memorial Sloan Kettering Cancer Center
2:05 PM Hybrid Designs Using Concurrent Randomized Controls and Historical Evidence
Mithat Gonen, Memorial Sloan Kettering Cancer Center
2:25 PM A Review of Bayesian Early-Phase Clinical Trials in Cancer Research
Hao Liu, Rutgers University
2:45 PM Treatment Response Data for Patient-Derived Xenografts
Michael Lloyd, The Jackson Laboratory; Soner Koc, Seven Bridges Genomics; Anuj Srivastava, The Jackson Laboratory; Vivek Philip, The Jackson Laboratory; Tim Stearns, The Jackson Laboratory; Carol Bult, The Jackson Laboratory; Yvonne Evrard, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research; Jeffrey Moscow, Investigational Drug Branch, National Cancer Institute; Funda Meric-Bernstam, The University of Texas MD Anderson Cancer Center; Dennis Dean, Seven Bridges Genomics; Jeffrey H. Chuang, The Jackson Laboratory for Genomic Medicine
3:05 PM Probabilistic Learning of Treatment Trees in Cancer
Veera Baladandayuthapani, University of Michigan; Tsung-Hung Yao, University of Michigan; Zhenke Wu, University of Michigan, Ann Arbor; Karthik Bharath, University of Nottingham
3:25 PM Discussant: Lisa McShane, National Cancer Institute
3:45 PM Floor Discussion