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483 Thu, 8/6/2020, 10:00 AM - 2:00 PM Virtual
Statistical Approaches in Precision Medicine — Contributed Papers
Biometrics Section
Chair(s): Lisa Bramer, National Security Directorate
On Validation and Planning of An Optimal Decision Rule with Application in Healthcare Studies
Hengrui Cai, Department of Statistics, North Carolina State University; Wenbin Lu, North Carolina State University; Rui Song, NC State University
Multicategory Angle-Based Learning for Estimating Optimal Dynamic Treatment Regimes with Censored Data
Fei Xue; Yanqing Zhang, Yunnan University; Wenzhuo Zhou, University of Illinois at Urbana-Champaign; Haoda Fu, Eli Lilly and Company; Annie Qu, University of California Irvine
Selection of the Optimal Personalized Treatment from Multiple Treatments with Right-Censored Multivariate Outcome Measures
Chathura Siriwardhana, University of Hawaii; Somnath Datta, University of Florida; KB Kulasekera, University of Louisville
Mean-Weighted Case Specific Random Forests for Estimating Causal Effects
Michael Higgins, Kansas State University; Linus Addae, Kansas State University
Application of Mixture Model on Loess Approximation at Common Time Points to Classify Longitudinal Data with Irregular Spaced Intervals
Mosammat Tanbin; Md Hossain, Nemours Biomedical Research, A.I. DuPont Children's Hospital
Estimating the Treatment Effect on Medical Cost Trajectory Using Inverse Probability of Treatment Weighting Method and I-Splines
Indranil Ghosh, University of Louisville