JSM Preliminary Online Program
This is the preliminary program for the 2009 Joint Statistical Meetings in Washington, DC.

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Legend: = Applied Session, = Theme Session, = Presenter
Washington Convention Center = “CC”, Renaissance Washington, DC Hotel = “RH”

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379 Applied Session Tue, 8/4/09, 2:00 PM - 3:50 PM CC-Hall D
Topic-Contributed Oral Poster Presentations: Microarray Data - Topic Contributed - Poster Presentations
Biometrics Section, ENAR, WNAR
Organizer(s): Ji Zhu, University of Michigan
Chair(s): Lara Schmidt, RAND Corporation
Poster Topic: Biometrics, bioinformatics, computational biology:
08: Cost-Efficient Designs Based on Linearly Associated BiomarkersChangxing Ma, State University of New York at Buffalo; Albert Vexler, New York State University at Buffalo; Lili Tian, State University of New York at Buffalo; Enrique Schisterman, National Institutes of Health
09: Randomized P-Values with Applications in Multiple TestingJosh Habiger, University of South Carolina; Edsel A. Pena, University of South Carolina
10: Identifying Important Predictors Using L1 Penalized Models and Random ForestsKellie J. Archer, Virginia Commonwealth University
12: Analysis of MicroRNA DataAndre A.A. Williams, Virginia Commonwealth University; Kellie J. Archer, Virginia Commonwealth University
13: Statistical Modeling for Oligonucleotide Arrays Using PCA with Likelihood Approach Mehdi Maadooliat, Texas A&M University; Jianhua Hu, The University of Texas M.D. Anderson Cancer Center; Jianhua Huang, Texas A&M University
14: Normalization of Microarray Data Using Multivariate MethodsMark Reimers, Virginia Commonwealth University
15: Biomarker Detection Methods When Combining Multiple Multi-Class Microarray StudiesShu-Ya Lu, University of Pittsburgh
16: Multivariate Analysis of Variance Test for Gene Set AnalysisChen-An Tsai, China Medical University; James Chen, National Center for Toxicological Research
17: Using Exon Microarrays to Predict Breast Cancer OccurrenceWilliam E. Johnson, Brigham Young University; Ying Sun, The University of Utah; Andrea Bild, The University of Utah
18: A Detection Method for Identifying the Shared Targets of Multiple DNA-Binding Proteins from ChIP-chip Tiling Array DataNancy N. Wang, University of California, Berkeley
19: Support Vector Machines with Disease-Gene-Centric Network Penalty for High-Dimensional Microarray DataYanni Zhu, The University of Minnesota; Wei Pan, The University of Minnesota; Xiaotong Shen, The University of Minnesota
20: A Distribution for p-ValuesDaniel Zelterman, Yale University; Chang Yu, Vanderbilt University School of Medicine
21: Composite Likelihood Modeling of Neighboring Site Correlations of DNA Sequence Substitution RatesDirk F. Moore, University of Medicine and Dentistry of New Jersey; Ling Deng, Johnson & Johnson
22: Using Distributions for p-Values in the Two-Component Mixture Models to Estimate the Proportion from NullChang Yu, Vanderbilt University School of Medicine; Daniel Zelterman, Yale University
23: Bayesian Analysis of Microarray Experiments with Multiple Sources of Variation: A Mixed Model ApproachCumhur Y. Demirkale, Iowa State University; Dan Nettleton, Iowa State University; Tapabrata Maiti, Michigan State University
 

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Revised September, 2008