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Activity Details

294 Tue, 8/1/2017, 8:30 AM - 10:20 AM CC-330
High-Dimensional Regression — Contributed Papers
Biometrics Section , Section on Statistics in Genomics and Genetics , Section on Statistical Learning and Data Science
Chair(s): Roberta De Vito, Princeton
8:35 AM High-Dimensional Discriminant Analysis Using Singular Wishart Distribution Samprit Banerjee, Weill Medicine College of Cornell University ; Stefano Monni, American University of Beirut, Lebanon
8:50 AM High-Dimensional Mediation Analysis with Latent Factors Andriy Derkach, NIH-National Cancer Institute ; Ting-Huei Chen, Université Laval ; Joshua Sampson, National Cancer Institute ; Ruth Pfeiffer , National Cancer Institute, NIH, HHS
9:05 AM A focused mean squared error approach for selecting tuning parameters in penalized regression Kristoffer Hellton, University of Oslo ; Nils Lid Hjort, University of Oslo
9:20 AM An Application of High-Dimensional Multiclass Classification Methods to Listeria Monocytogenes Whole Genome Multilocus Sequence Typing Data Sunkyung Kim, Centers for Disease Control and Prevention ; Gordana Derado, Centers for Disease Control and Prevention ; Anna J Blackstock, Centers for Disease Control and Prevention ; Conrad Amanda, Centers for Disease Control and Prevention ; Heather Carleton, Centers for Disease Control and Prevention
9:35 AM Honest inference for marginal treatment effects using penalised bias-reduced double-robust estimation Vahe Avagyan, Universiteit Gent-Vakgroep Toegepaste W & I ; Stijn Vansteelandt, Ghent University
9:50 AM Dynamic Predictions in Bayesian Functional Joint Models for Longitudinal and Time-To-Event Data: An Application to Alzheimer's Disease Kan Li, The University of Texas Health Science Center at Houston ; Sheng Luo, The University of Texas Health Science Center at Houston
10:05 AM Multinomial Goodness-of-Fit Statistics When the Number of Variables Is Large Maduranga Dassanayake, Arizona State University ; Mark Reiser, Arizona State University
 
 
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