JSM Preliminary Online Program
This is the preliminary program for the 2007 Joint Statistical Meetings in Salt Lake City, Utah.

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Legend: = Applied Session, = Theme Session, = Presenter
Salt Palace Convention Center = “CC”, Grand America = “GA”

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151 Applied Session Mon, 7/30/07, 10:30 AM - 12:20 PM CC-155 E
Reducing Bias in Epidemiological Studies: Two-phase Sampling and Missing Data Methods - Contributed - Papers
Section on Statistics in Epidemiology, Section on Health Policy Statistics
Chair(s): Mari Palta, University of Wisconsin-Madison
     10:35 AM   A Method To Assess Bias Reduction in Observational Studies of Influenza Vaccine EffectivenessJennifer Nelson, Group Health Center for Health Studies; Michael Jackson, Group Health Center for Health Studies; Noel Weiss, University of Washington; Lisa Jackson, Group Health Center for Health Studies
     10:50 AM   Multiple Imputation To Control for Unmeasured Confounding Using an Internal Validation StudyRobert Glynn, Brigham and Women's Hospital; Til Stürmer, Brigham and Women's Hospital
     11:05 AM   Estimation of Causal Effects in Studies with Outcome-Dependent, Two-Phase SamplingWeiwei Wang, Johns Hopkins Bloomberg School of Public Health; Daniel Scharfstein, Johns Hopkins Bloomberg School of Public Health; Zhiqiang Tan, Johns Hopkins Bloomberg School of Public Health; Ellen MacKenzie, Johns Hopkins Bloomberg School of Public Health
     11:20 AM   Analysis of Epidemiological Studies with an Outcome-Dependent Sampling DesignHaibo Zhou, The University of North Carolina at Chapel Hill
     11:35 AM   Estimates of Causal Effects of a Continuous Exposure Using Multiple ImputationSundar Natarajan, Veterans Affairs New York Harbor Healthcare System/New York University; Stuart R. Lipsitz, Brigham and Women's Hospital; Garrett Fitzmaurice, Harvard University; Scott Regenbogen, Harvard School of Public Health
     11:50 AM   Nonparametric Regression with Missing Data Using Kernel-Estimating EquationsLu Wang, Harvard University; Xihong Lin, Harvard School of Public Health; Andrea Rotnitzky, Universidad Torcuato Di Tella
     12:05 PM   Semiparametric Efficient Causal Inference with Missing DataYue Shentu, Merck & Co., Inc.; Minge Xie, Rutgers University
 

JSM 2007 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, 2007