Legend: CC = Colorado Convention Center H = Hyatt Regency Denver at Colorado Convention Center
Activity Details
29
Sun, 7/28/2019,
2:00 PM -
3:50 PM
CC-502
SPEED: Survey Methods, Transportation Studies, SocioEconomics, and General Statistical Methods Part 1 — Contributed Speed
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
Poster Presentations
for this session.
2:05 PM
Frame Development and Sample Design for the 2018 National Survey of Children's Health
Presentation
Emilee Sizemore, US Census Bureau ; Tracy Mattingly, US Census Bureau; Antoinette Lubich, US Census Bureau
2:10 PM
A Modeling Approach to Compensate for Nonresponse and Selection Bias in Surveys
Presentation
Tien-Huan Lin, Westat ; Ismael Flores Cervantes, Westat
2:15 PM
A Comparison of Clustering Criteria for Evaluating Multivariate Stratifications of Primary Sampling Units
Presentation
Padraic Murphy, U.S. Census Bureau
2:20 PM
Statistical Data Integration and Inference via Multilevel Regression and Poststratification
Presentation
Yajuan Si, University of Michigan
2:30 PM
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
2:35 PM
The Relationship Between Driver Performance and Driver Workload Using Functional Data Analysis
Presentation
Jundi Liu, University of Washington ; Erika Miller, Colorado State University; Linda Ng Boyle, University of Washington
2:40 PM
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
2:45 PM
Comparing the Quality of Online to Interviewer-Gathered Survey Data: Preliminary Results from the 2019 Survey of Consumer Finances Web Experiment
Presentation
Richard Windle, Federal Reserve Board
2:50 PM
Cluster-Stratified Outcome-Dependent Sampling in Resource-Limited Settings: Inference and Small-Sample Considerations
Presentation
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
3:00 PM
Bayesian Uncertainty Estimation Under Complex Sampling
Presentation
Matthew Williams, National Science Foundation ; Terrance Savitsky, Bureau of Labor Statistics
3:05 PM
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
3:15 PM
Use of an Artificial Realistic Dataset to Compare the Performance of Different Cross-Sectional Methods for Estimating Crash Modification Factors
Presentation
Bo Lan, University of North Carolina ; Raghavan Srinivasan, University of North Carolina Highway Safety Research Center
3:20 PM
Use of Matching Algorithms to Determine Unit Eligibility
Presentation 1
Presentation 2
Brandon Hopkins, RTI International ; Kimberly Ault, RTI International
3:25 PM
DOE Optimization of Managing Trip in Europe
Presentation 1
Presentation 2
Charles Chen, Applied Materials ; Mason Chen, Mission San Jose High School, Stanford OHS; Brianna Zheng, Basis School
3:30 PM
Does Location Matter? a Case-Study of the Influence of Geography in Measurement of Gasoline Price Inflation
Presentation
David Popko, Bureau of Labor Statistics ; Ilmo Sung., U.S. Bureau of Labor Statistics
3:35 PM
Estimating Generalized Linear Models with the Pseudo-Marginal Metropolis-Hastings Algorithm
Presentation
Taylor Brown, University of Virginia ; Tim McMurry, University of Virginia School of Medicine
3:40 PM
Two-Step Estimation for Time Varying ARCH Models
Presentation
Yuanyuan Zhang ; Rong Liu, University of Toledo; Qin Shao, University of Toledo; Lijian Yang, Tsinghua University
3:45 PM
Floor Discussion
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
Oral Presentations
for this session.
476
Wed, 7/31/2019,
8:30 AM -
10:20 AM
CC-210/212
Distracted Driving and Other Transportation Considerations — Contributed Papers
Transportation Statistics Interest Group
Chair(s): Yuqi Gu, University of Michigan
8:35 AM
The Evaluation of Cellphone Distraction Related Crash Risk Using Case-Crossover Design
Danni Lu, Virginia Tech ; Feng Guo, Virginia Tech
8:50 AM
A Bayesian Approach to Quantify Risky Driving Behavior
Presentation
Huizhong Guo ; Linda Ng Boyle, University of Washington; John Lenneman, Toyota CSRC
9:05 AM
Bayesian Multinomial Latent Variable Model to Detect Driver Distraction at Intersections
Presentation
Ning Li, University of Washington ; Linda Ng Boyle, University of Washington
9:20 AM
Safety Effects of Wet-Weather Pavement Markings
Eun Sug Park, Texas A&M Transportation Institute ; Paul J. Carlson, Road infrastructure, Inc.; Adam Pike, Texas A&M Transportation Institute
9:35 AM
Predictive Modeling of Errors in Child Restraint System Use
Presentation
Elizabeth Petraglia, Westat ; Doreen De Leonardis, Westat; Amy Benedick, Westat
9:50 AM
Charging Behavior Modeling of Battery Electric Vehicles on Long-Distance Trips
Presentation
Yanbo Ge, University of Washington ; Don MacKenzie, University of Washington
10:05 AM
Floor Discussion
