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CC = Baltimore Convention Center,    H = Hilton Baltimore
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Activity Details

530 Wed, 8/2/2017, 10:30 AM - 11:15 AM CC-Halls A&B
SPEED: Survey Research Methods — Contributed Poster Presentations
Survey Research Methods Section , Statistics Without Borders
Chair(s): Jessi Cisewski, Yale University
The Speed portion will take place during Session 214534
19: Sampling Methodology and Coverage Issue for a National School-Based Survey S. Sean Hu, CDC ; Linda Neff, Centers for Disease Control and Prevention ; Ronaldo Iachan, ICF International ; Kate Flint, ICF International ; Alice Roberts, ICF International ; Karen Cullen, Food and Drug Administration
20: Comparing Alternative Methods for the Random Selection of a Respondent Within a Household for Online Surveys Geneviève Vézina, Statistics Canada ; Pierre Caron, Statistics Canada
21: Randomized Multi-Stage Stratified Cluster Sampling Methodology to Estimate Public Transit Fare Compliance — Lori Rothenburg, North Carolina State University ; A Blanton Godfrey, North Carolina State University ; Brian Hanninen, Evaluation Café
23: The Link Between Nonresponse Bias and the Length of the Field Period in a Mixed-Mode General Population Panel Bella Struminskaya, Utrecht University ; Tobias Gummer, GESIS - Leibniz Institute for the Social Sciences
24: Highly Robust Multiple Imputation Models Using BART — Michael R. Elliott, University of Michigan ; Vincent Tan, Univerisity of Michigan ; Carol Flannagan, Univerisity of Michigan
25: Multiple Imputation in Longitudinal Studies with Circularity Elizabeth Petraglia, Westat
26: Multiple Imputation of Non-Ignorable Binary Missing Data Using a Censored Bivariate Probit Model Angelina Hammon
27: Multiple Imputation to Evaluate the Impact of an Assay Change in National Surveys Maya Sternberg, Centers for Disease Control & Prevention
28: Donor Selection for MCBS Asset Imputation Kanru Xia, NORC ; Meimeizi Zhu, NORC ; Cheryl L. Sharpless, CMS ; John C. McCormick, CMS ; Edward Mulrow, NORC
29: Imputation of Missing Data in Surveys and Studies in Dental Research Michael Larsen, George Washington University ; Charles D Larsen, Stony Brook School of Dental Medicine
30: Imputation for Longitudinal Study of Effectiveness of an Anti-Smoking Campaign Qiao Ma, NORC at the University of Chicago ; Josiane Bechara, NORC at the University of Chicago ; Edward Mulrow, NORC ; Zachary Haskell Seeskin, NORC at the University of Chicago ; Morgane Bennett, Truth Initiative ; Jennifer Cantrell, Truth Initiative ; Elizabeth Hair, Truth Initiative ; Donna Vallone, Truth Initiative
31: A Novel Approach to Developing 5-Star Ratings for Home Health Care Systems Kimberly Ault, RTI International ; Laura Smith, RTI International ; Harper Gordek, RTI International ; Wayne Anderson, RTI International
32: Imputation Classes as a Framework for Inferences From Non-random Samples Vladislav Beresovsky, National Center for Health Statistics
33: Investigating the Performance of Inverse Sampling for Model Estimation Zachary Haskell Seeskin, NORC at the University of Chicago ; Josiane Bechara, NORC at the University of Chicago ; Qiao Ma, NORC at the University of Chicago ; Edward Mulrow, NORC
34: The Heckman Selection Model with Complex Survey Data Michael Machiorlatti, University of Oklahoma Health Sciences Center ; Sixia Chen ; Dr. Sara Vesely, The University of Oklahoma Health Sciences Center
35: Analysis of Familial Aggregation with Complex Survey Data Cong Wang, George Washington University ; Zhaohai Li, George Washington University ; Barry I. Graubard, National Cancer Institute
36: Effect Modifications of Blood Lead-Cardiovascular Disease Mortality Association by Time-Related Factors Studied Using NHANES Linked Mortality Files Yutaka Aoki, National Center for Health Statistics ; Jennifer Parker, National Center for Health Statistics
37: MINIMIZING ERROR in MEGA-POLLS: LESSONS from the 2016 ELECTION Joseph Zappa, Ipsos Public Affairs ; Robert Petrin, Ipsos Public Affairs ; Kaitlyn McAuliffe, Ipsos Public Affairs
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