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Sessions Were Renumbered as of May 19.

CC-W = McCormick Place Convention Center, West Building,   CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago,   UC= Conference Chicago at University Center
* = applied session       ! = JSM meeting theme

Activity Details

381 Tue, 8/2/2016, 10:30 AM - 11:15 AM CC-Hall F1 West
SPEED: Epidemiological Research, Part 2A — Contributed Poster Presentations
Section on Statistics in Epidemiology
Chair(s): Genevera Allen, Rice University
The oral portion will take place during Session 213154
11: Confidence Intervals Construction of Difference of Proportions Based on Correlated Bilateral Data Zhengyu Yang, SUNY Buffalo ; Xiaobin Liu, SUNY Buffalo ; Chang-Xing Ma, SUNY Buffalo
12: Validation of Sudden Cardiac Death Algorithm Zoe Bider-Canfield, Kaiser Permanente Southern California ; Shuhua Liang, Kaiser Permanente Southern California ; T. Craig Cheetham, Kaiser Permanente Southern California
13: Trends in Cardiovascular Disease Risk Factors by Obesity Level in Adults in the U.S. Reena Gitanjali Singh, York University
14: Effect of Birth Weight on Childhood Allergy with Repeatedly Measured Confounder Using Joint and Marginal Modeling Ayano Takeuchi, Keio University ; Mari Oba, Toho University ; Ikuko Funatogawa, The Institute of Statistical Mathematics
15: Adaptive Distributed Lag Models Alastair Rushworth, University of Strathclyde
16: Two-Level Joint Model for Imputing Subject-Level Variables of Mixed Type David Kline, The Ohio State University ; Rebecca Andridge, The Ohio State University ; Eloise Kaizar, The Ohio State University
17: Mediation Analysis for Longitudinal Data Using Regression Calibration When the Mediator Is Measured with Error John M. Ssenkusu, University of Minnesota ; David Vock, University of Minnesota School of Public Health
18: Optimal Point Estimates and Credible Intervals for Ranking County Health Indices Ronald Gangnon, University of Wisconsin ; Patricia Jewett, University of Wisconsin - Madison
20: Childhood Obesity Modeling with a Semi-Markov Process Richard Seymour, U.S. Air Force
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