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Legend: Palais des congrès de Montréal = CC, Le Westin Montréal = W, Intercontinental Montréal = I
A * preceding a session name means that the session is an applied session.
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Activity Details

377 Tue, 8/6/2013, 10:30 AM - 12:20 PM CC-220bc
Contributed Oral Poster Presentations: Section on Statistical Learning and Data Mining — Contributed Poster Presentations
Section on Statistical Learning and Data Mining
Chair(s): Joyee Ghosh, The University of Iowa
52: Prediction of Future Cost for Congestive Heart Failure Patients Using Heavy-Tailed Data Jun Han, MEDai, a LexisNexis Company ; Krassimir Latinski, Elsevier/MEDai
54: The Super Learner for Estimating Nonlinear Associations in the Cox Regression Model Elizabeth Malloy, American University ; Philip Gautier, Purdue University ; Cynthia Cook, American University ; Melissa K. Bergeron, Freddie Mac
55: Insight Discovery for Decision Tree Models Jane Chu, IBM ; Jing Shyr, IBM ; Weicai Zhong, IBM
57: Variable Selection for Optimal Treatment Regime Na Zhang, North Carolina State University ; Howard Bondell, NC State University ; Eric Laber, NC State University
58: A Robust Variable Selection Method for Grouped Data Kristin Lilly, Auburn University ; Nedret Billor, Auburn University
59: Use of Non-Negative Matrix Factorization to Understand Exercise Effects on Metabolites Douglas A. Marsteller, PepsiCo ; S. Stanley Young, National Institute of Statistical Sciences ; K. Eric Milgram, PepsiCo ; John V. St. Peter, PepsiCo ; Mark A. Pirner, PepsiCo
60: Group Lasso in Functional Logistic Regression Jessica Godwin, Auburn University ; Nedret Billor, Auburn University
61: Longitudinal Trajectory Cluster Analysis: How Many Groups Are There? Alyssa B. Dufour, Hebrew SeniorLife & Harvard Medical School ; L. Adrienne Cupples, Boston University ; Timothy Heeren, Boston University ; David R. Gagnon, Boston University
62: Model-Based Classifications of High-Throughput Data Review, Design, and Application to a Cancer Clinical Study AC Cambon, Department of Bioinformatics and Biostatistics, University of Louisville ; Shesh Nath Rai, University of Louisville
63: Inference for Supervised Learning: Regression Trees and CLTs Lucas Mentch, Cornell University ; Giles Hooker, Cornell University
64: Survival Trees for Discrete Failure Times Matthias Schmid, University of Erlangen-Nuremberg ; Helmut Küchenhoff, University of Munich ; Gerhard Tutz, University of Munich
65: A New Graphic Method for Data from Human Drug Abuse Potential Studies Ling Chen, U.S. Food and Drug Administration ; Yang Wang, U.S. Food and Drug Administration
66: A review of the Integrated Nested Laplace Approximation with Application to the Spatial Analysis of Gestational Age in British Columbia
67: An application of a joint model for interval-censored disease progression data with informative observation times. Veronica Sabelnykova, University of Victoria

2013 JSM Online Program Home

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