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522 Thu, 8/11/2022, 8:30 AM - 10:20 AM CC-144A
Life Science Applications of Data Science — Contributed Papers
Section on Statistical Learning and Data Science
Chair(s): Kellie Archer, The Ohio State University
8:35 AM Regression Trees and Ensembles for Cumulative Incidence Functions
Youngjoo Cho, Konkuk University; Annette Molinaro, University of California San Francisco; Chen Hu, Johns Hopkins University ; Robert L Strawderman, University of Rochester
8:50 AM Long-Term Survival and Second Malignant Tumor Prediction in Pediatric, Adolescent, and Young Adult Cancer Survivors Using Random Survival Forests: A SEER Analysis
Ivy Zhang, Yale University; Jun Deng, Yale University; Gregory Hart, Bill & Melinda Gates Foundation; Bo Qin, Dartmouth College
9:05 AM Assessing Time-Varying Causal Effect Moderation in the Presence of Cluster-Level Treatment Effect Heterogeneity
Jieru Shi, University of Michigan; Zhenke Wu, University of Michigan, Ann Arbor; Walter Dempsey, University of Michigan
9:20 AM Evaluating Model Diagnostics Tools for Non-Genetic Associations in Large Scale Data Sets
Christophe Toukam Tchakoute, Stanford University; Stella Aslibekyan, 23andMe, INC; Teresa Filshtein Sonmez, 23andMe, INC; Robert Gentleman, Center for Computational Biomedicine, Harvard Medical School
9:35 AM Significance Tests Based on Sieve Quasi-Likelihood Ratio Test Using Neural Networks with Application to Genetic Association Studies
Xiaoxi Shen, Texas State University; Chang Jiang , University of Florida; LYUDMILA SAKHANENKO, Michigan State University; Qing Lu, University of Florida
9:50 AM Floor Discussion