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

The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.


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

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607 Thu, 8/6/09, 10:30 AM - 12:20 PM CC-153
FDR and Classification - Contributed - Papers
Biometrics Section
Chair(s): Renee Moore, University of Pennsylvania
    10:35 AM   Adjusting for Matched Samples in Discriminant Analysis of Schizophrenia Biomarkers for Post-Mortem Tissue StudiesJosephine Asafu-Adjei, University of Pittsburgh; Allan Sampson, University of Pittsburgh; Robert Sweet, University of Pittsburgh
    10:50 AM   Estimating the number of true null hypotheses in multiple hypothesis testingHsun-Chih Kuo, National Chengchi University; Shu-Yu Liao, National Taipei University; Yi-Ting Hwang, National Taipei University
    11:05 AM   Optimal Nearest Shrunken Centroids Method for High-Dimensional ClassificationTiejun Tong, University of Colorado; Herbert Pang, Duke University
    11:20 AM   A General Framework for Multiple Testing DependenceJeffrey Leek, Johns Hopkins University; John Storey, Princeton University
    11:35 AM   Estimating the Cumulative Risk of a False-Positive Test in a Repeated Screening Program with Multiple ModalitiesJian-Lun Xu, National Cancer Institute; Richard M. Fagerstrom, National Cancer Institute; Philip C. Prorok, National Cancer Institute; Barnett S. Kramer, Office of Disease Prevention
    11:50 AM   Classification Analysis with a Twist: Identification of the Writership of Handwritten Documents by Pairwise Application of Linear Discriminant AnalysisJohn J. Miller, George Mason University; Amanda B. Hepler, George Mason University; Donald T. Gantz, George Mason University; Daniel B. Carr, George Mason University; Clifton Sutton, George Mason University; Robert Patterson, George Mason University
    12:05 PM   Pairwise Likelihood for Binary DataZi Jin, University of Toronto; Nancy Reid, University of Toronto
 

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.
Revised September, 2008