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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561 Thu, 8/6/09, 8:30 AM - 10:20 AM CC-203A
Survival Analysis Methods in Epidemiology - Contributed - Papers
Section on Statistics in Epidemiology
Chair(s): Ronald Gangnon, University of Wisconsin-Madison
    8:35 AM   Efficiency of the Maximum Partial Likelihood Estimator Under Nested Case-Control Design — Larry Goldstein, University of Southern California; Haimeng Zhang, Mississippi State University
    8:50 AM   Time-Varying Effects of Prognostic Factors Associated with Disease-Free Survival in Breast CancerKaren Messer, University of California, San Diego; Minya Pu, University of California, San Diego ; Barbara Parker, University of California, San Diego ; Cynthia Thomson, University of Arizona; Bette Caan, Kaiser Permanente Northern California; Shirley Flatt, University of California, San Diego ; Lisa Madlensky, University of California, San Diego ; Richard Hajek, The University of Texas M.D. Anderson Cancer Center; Wael Al-Delaimy, University of California, San Diego ; Nazmus Saquib, University of California, San Diego ; Ellen Gold, University of California, Davis; John Pierce, University of California, San Diego ; Loki Natarajan, University of California, San Diego
    9:05 AM   Analyzing Bivariate Survival Data with Interval Sampling and Application to Cancer EpidemiologyHong Zhu, Johns Hopkins Bloomberg School of Public Health; Mei-Cheng Wang, Johns Hopkins Bloomberg School of Public Health
    9:20 AM   Covariate Bias Induced by Length-Biased Sampling of Failure TimesPierre-Jerome Bergeron, University of Ottawa; Masoud Asgharian, McGill University; David B. Wolfson, McGill University
    9:35 AM   Survival Function with Informative Drop-Outs: Using FGM CopulaMd Monir Hossain, The University of Texas Health Science Center at Houston; Tosiya S. Sato, Kyoto University; Mohammad H. Rahbar, The University of Texas Health Science Center at Houston
    9:50 AM   Semiparametric Method for Cure Rate ModelFeifei Zhou, The University of Hong Kong
    10:05 AM   Modeling Exchangeable Binary Data with Dependence Between the Design and Outcome Success ProbabilitiesDavid Todem, Michigan State University; Karen P. Williams, Michigan State University
 

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Revised September, 2008