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This is the preliminary program for the 2007 Joint Statistical
Meetings in Salt Lake City, Utah.
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The views expressed here are those of the individual authors and not necessarily those of the ASA or its board, officers, or staff. Back to main JSM 2007 Program page |
= Applied Session,
= Theme Session,
= Presenter
151
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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 | ||
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Section on Statistics in Epidemiology, Section on Health Policy Statistics |
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| Chair(s): Mari Palta, University of Wisconsin-Madison | ||
| 10:35 AM |
A Method To Assess Bias Reduction in Observational Studies of Influenza Vaccine Effectiveness — Jennifer 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
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| 10:50 AM |
Multiple Imputation To Control for Unmeasured Confounding Using an Internal Validation Study — Robert Glynn, Brigham and Women's Hospital; Til Stürmer, Brigham and Women's Hospital
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| 11:05 AM |
Estimation of Causal Effects in Studies with Outcome-Dependent, Two-Phase Sampling — Weiwei 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
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| 11:20 AM |
Analysis of Epidemiological Studies with an Outcome-Dependent Sampling Design — Haibo Zhou, The University of North Carolina at Chapel Hill
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| 11:35 AM |
Estimates of Causal Effects of a Continuous Exposure Using Multiple Imputation — Sundar 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
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| 11:50 AM |
Nonparametric Regression with Missing Data Using Kernel-Estimating Equations — Lu Wang, Harvard University; Xihong Lin, Harvard School of Public Health; Andrea Rotnitzky, Universidad Torcuato Di Tella
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| 12:05 PM |
Semiparametric Efficient Causal Inference with Missing Data — Yue Shentu, Merck & Co., Inc.; Minge Xie, Rutgers University
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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. |