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This is the preliminary program for the 2009 Joint Statistical
Meetings in Washington, DC.
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The views expressed here are those of the individual authors and not necessarily those of the ASA or its board, officers, or staff. Back to main JSM 2009 Program page |
= Applied Session,
= Theme Session,
= Presenter| 250 | Tue, 8/4/09, 8:30 AM - 10:20 AM | CC-209A |
| High-Dimensional Genetic Data - Invited - Papers | ||
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IMS |
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| Organizer(s): Debashis Paul, University of California, Davis | ||
| Chair(s): Debashis Paul, University of California, Davis | ||
| 8:35 AM |
Regularized Multivariate Regression for Identifying Master Predictors —  Jie Peng, University of California, Davis; Pei Wang, Fred Hutchinson Cancer Research Center; Ji Zhu, University of Michigan; Jonathan Pollack, Stanford University
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| 9:00 AM |
Prediction of Patient Outcomes Based on High-Throughput Genetic Data Using Supervised Principal Components — Eric Bair, The University of North Carolina at Chapel Hill
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| 9:25 AM |
Estimation Methods for Multivariate Linear Time Series — Prabir Burman, University of California, Davis; Metoyer N. Candace, Pacific Northwest National Laboratory
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| 9:50 AM |
Network-Based Prediction Model for Genomics Data Analysis — Pei Wang, Fred Hutchinson Cancer Research Center; Ying Huang, Fred Hutchinson Cancer Research Center
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| 10:15 AM | Floor Discussion | |
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JSM 2009
For information, contact jsm@amstat.org
or phone (888) 231-3473. If you have questions about the Continuing Education program,
please contact the Education Department. |