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Activity Details

504 Wed, 8/2/2017, 10:30 AM - 12:20 PM CC-317
Model/Variable Selection — Contributed Papers
Biometrics Section
Chair(s): Scott Bruce, Department of Statistical Science, Temple University
10:35 AM Sparse Concordance-Assisted Learning for Optimal Treatment Decision Shuhan Liang, North Carolina State University ; Wenbin Lu, North Carolina State University ; Rui Song, NC State University ; Lan Wang, University of Minnesota
10:50 AM Model Selection in Latent Class Analysis Zhaoyin Zhu, NYU ; Yongzhao Shao, New York University School of Medicine
11:05 AM Discriminative Power and Variable Selection in Logistic Regression Models under Outcome Misspecification Jia Bao, NYU Langone Medical Center ; Yongzhao Shao, New York University-School of Medicine
11:20 AM Variable Selection for highly correlated predictors Fei Xue, University of Illinois at Urbana-Champaign ; Annie Qu, University of Illinois at Urbana-Champaign
11:35 AM A Score Test for Over-Dispersion in Marginalized Zero-Inflated Poisson Regression Models Gul Inan, Middle East Technical University ; John Preisser, University of North Carolina-Chapel Hill ; Kalyan Das, University of Calcutta
11:50 AM Comparing Cross Validation Methods for Penalized Cox Regression Biyue Dai, University of Iowa ; Patrick Breheny, University of Iowa
12:05 PM Empirical Bayes Methods for Penalized Regression: Estimation for Noisy Matrices/Tensors Without Replicates and Penalized Regression with Unknown Norm Penalty Maryclare Griffin ; Peter Hoff, Duke University
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