High Dimensional Data, Causal Inference, Biostats Education, and More — Contributed Speed
ENAR
Chair(s): Wodan Ling, Fred Hutchinson Cancer Research Center
10:05 AM
Bayesian Nonparametric Models for Freely Diffusing SmFRET Data Roberto Rivera, University of Puerto Rico at Mayaguez; Jared Hidalgo, University of Puerto Rico - Mayaguez; Axel Cortes Cubero, University of Puerto Rico at Mayaguez; Roberto Reyes, University of Puerto Rico at Mayaguez
Multisite Learning with High-Dimensional Data via a Distributed Algorithm for Penalized Regression (ADAP) Xiaokang Liu, University of Pennsylvania; Rui Duan, Harvard University; Chongliang Luo, University of Pennsylvania; Alexis Ogdie, University of Pennsylvania ; Jason H. Moore, University of Pennsylvania ; Henry R. Kranzler, University of Pennsylvania ; Jiang Bian, University of Florida Health Cancer Center; Yong Chen, University of Pennsylvania
Three-Phase Generalized Raking and Multiple Imputation Estimators to Address Errors in Routinely Collected Data Gustavo Amorim, Vanderbilt University Medical Center; Ran Tao, Vanderbilt University Medical Center; Sarah Lotspeich, Vanderbilt University Medical Center; Pamela Shaw, Kaiser Permanente Washington Health Research Institute; Thomas Lumley, University of Auckland; Rena Patel, University of Washington; Bryan Shepherd, Department of Biostatistics, Vanderbilt University School of Medicine
Lossless Distributed Linear Mixed Model with Application to Integration of Heterogeneous Health Care Data Chongliang Luo, University of Pennsylvania; Md. Nazmul Islam, UnitedHealth Group; Natalie E. Sheils, UnitedHealth Group; Rui Duan, Harvard University; Jenna Reps, Janssen Research and Development LLC; Jiayi Tong, University of Pennsylvania; Mackenzie Edmonson, University of Pennsylvania; Martijn Schuemie, Janssen R&D; John Buresh, UnitedHealth Group; Yong Chen, University of Pennsylvania
