JSM 2004 - Toronto

JSM Activity #384

This is the preliminary program for the 2004 Joint Statistical Meetings in Toronto, Canada. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2004); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Legend: = Applied Session, = Theme Session, = Presenter
FRY = Fairmont Royal York, ICH = InterContinental Hotel, TCC = Metro Toronto Convention Center
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384 Applied Session Theme Session Wed, 8/11/04, 2:00 PM - 3:50 PM TCC-712
Statistics and Cancer - Contributed - Papers
Biometrics Section, ENAR
Chair(s): Jingchen Liu, Harvard University
     2:05 PM   Feature Selection with SVM Reformulation and Expression-array-based Cancer Classification — Sunhee K. Ro, Roche Molecular Systems, Inc.; Wei-min Liu, Roche Molecular Systems, Inc.
     2:20 PM   Kolmogorov-Smirnov Test for Image Comparison — Eugene Demidenko, Dartmouth College
     2:35 PM   Cluster Analysis for Continuous Data with an Excess of Zeros — Kimberly Siegmund, University of Southern California
     2:50 PM   A Mixed Effects Model for Serial PSA Following Surgery in Men with Prostate Cancer — Mousumi Banerjee, University of Michigan; Julie George, Wayne State University
     3:05 PM   A Nonparametric Measure to Detect Interactive Information in Discriminant Analysis of Gene Expression — Xin Yan, Columbia University; Tian Zheng, Columbia University; Shaw-Hwa Lo, Columbia University
     3:20 PM   A Parametric Model for the Times to Cessation and Recovery of Menses in Breast Cancer Patients Undergoing Adjuvant Treatment — Suzanne E. Szwarc, Harvard University; Marco Bonetti, Harvard University
     3:35 PM   Predicting U.S. Cancer Mortality Counts Using Semiparametric Bayesian Techniques — Kaushik Ghosh, George Washington University; Ram C. Tiwari, National Cancer Institute
 

JSM 2004 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 March 2004