89
Sun, 7/28/2019,
5:05 PM -
5:50 PM
CC-Hall C
SPEED: Survey Methods, Transportation Studies, SocioEconomics, and General Statistical Methods Part 2 — Contributed Poster Presentations
Survey Research Methods Section , Transportation Statistics Interest Group, Quality and Productivity Section, Business and Economic Statistics Section, IMS
Chair(s): Georgiy Bobashev, Research Triangle Institute
Oral Presentations
for this session.
20:
Frame Development and Sample Design for the 2018 National Survey of Children's Health
Emilee Sizemore, US Census Bureau ; Tracy Mattingly, US Census Bureau; Antoinette Lubich, US Census Bureau
21:
A Modeling Approach to Compensate for Nonresponse and Selection Bias in Surveys
Tien-Huan Lin, Westat ; Ismael Flores Cervantes, Westat
22:
A Comparison of Clustering Criteria for Evaluating Multivariate Stratifications of Primary Sampling Units
Padraic Murphy, U.S. Census Bureau
23:
Statistical Data Integration and Inference via Multilevel Regression and Poststratification
Yajuan Si, University of Michigan
25:
Comparing the Performance of Machine Learning and Semiparametric Regression Methods for Prediction of Travel Times and Flows on Urban Mass Transit Systems
Daniel Graham, Imperial College London
26:
The Relationship Between Driver Performance and Driver Workload Using Functional Data Analysis
Jundi Liu, University of Washington ; Erika Miller, Colorado State University; Linda Ng Boyle, University of Washington
27:
Causal Impacts of New Urban Transit Provision on Air Quality: a Case Study of Jubilee Line Extension in London
Liang Ma, Imperial College London ; Marc E. J. Stettler, Imperial College London; Daniel Graham, Imperial College London
28:
Comparing the Quality of Online to Interviewer-Gathered Survey Data: Preliminary Results from the 2019 Survey of Consumer Finances Web Experiment
Richard Windle, Federal Reserve Board
29:
Cluster-Stratified Outcome-Dependent Sampling in Resource-Limited Settings: Inference and Small-Sample Considerations
Sara Sauer, Harvard School of Public Health ; Bethany Hedt-Gauthier, Harvard Medical School; Claudia Rivera-Rodriguez, University of Auckland; Sebastien Haneuse, Harvard T.H. Chan School of Public Health
30:
Bayesian Uncertainty Estimation Under Complex Sampling
Matthew Williams, National Science Foundation ; Terrance Savitsky, Bureau of Labor Statistics
31:
How Hard Is it to Remove Mode Effects in Multimode Surveys? Basic Weighting V. Three Model-Based Methods
Matt Jans ; Randy ZuWallack, ICF; Kelly Martin, ICF; Thomas Brassell, ICF; James Dayton, ICF; Stephen Immerwahr, NYC DOHMH; Amber Levanon Seligson, NYC DOHMH; Sahnah Lim, NYU
33:
Use of Matching Algorithms to Determine Unit Eligibility
Brandon Hopkins, RTI International ; Kimberly Ault, RTI International
34:
Use of an Artificial Realistic Dataset to Compare the Performance of Different Cross-Sectional Methods for Estimating Crash Modification Factors
Bo Lan, University of North Carolina ; Raghavan Srinivasan, University of North Carolina Highway Safety Research Center
35:
Does Location Matter? a Case-Study of the Influence of Geography in Measurement of Gasoline Price Inflation
David Popko, Bureau of Labor Statistics ; Ilmo Sung., U.S. Bureau of Labor Statistics
36:
DOE Optimization of Managing Trip in Europe
Charles Chen, Applied Materials ; Mason Chen, Mission San Jose High School, Stanford OHS; Brianna Zheng, Basis School
37:
Estimating Generalized Linear Models with the Pseudo-Marginal Metropolis-Hastings Algorithm
Taylor Brown, University of Virginia ; Tim McMurry, University of Virginia School of Medicine
38:
Two-Step Estimation for Time Varying ARCH Models
Yuanyuan Zhang ; Rong Liu, University of Toledo; Qin Shao, University of Toledo; Lijian Yang, Tsinghua University
