Legend:
CC = Colorado Convention Center   H = Hyatt Regency Denver at Colorado Convention Center
* = applied session       ! = JSM meeting theme

Activity Details


10 * !
Sun, 7/28/2019, 2:00 PM - 3:50 PM CC-505
Challenges and Breakthroughs in Analyzing Big Survey Data — Invited Papers
Government Statistics Section, Survey Research Methods Section, Section on Statistics in Marketing
Organizer(s): Snigdhansu Chatterjee, University of Minnesota
Chair(s): Eric Slud, University of Maryland
2:05 PM Bayesian Disaggregation of Spatio-Temporal Community Indicators Estimated via Surveys: An Application to the American Community Survey
Veronica J. Berrocal, University of Michigan
2:30 PM A Model-Based Approach to Predict Employee Compensation Components
Presentation
Andreea Erciulescu, Westat; Jean Opsomer, Westat
2:55 PM Relationship Mining in Big Data from Surveys Using Penalization and the Bag-Of-Little-Bootstraps
Snigdhansu Chatterjee, University of Minnesota; Benjamin E. Bagozzi, University of Delaware; Ujjal Kumar Mukherjee, University of Illinois; Xuetong Sun, University of Minnesota
3:20 PM Regression Composite Estimation for Current Population Survey
Presentation
Yang Cheng, US Census Bureau; Daniel Bonnery, University of Maryland and Maryland Longitudinal Data System Center ; Partha Lahiri, University of Maryland, College Park; Timothy Trudell
3:45 PM Floor Discussion
 
 

13 * !
Sun, 7/28/2019, 2:00 PM - 3:50 PM CC-504
Multinational, Multiregional, and Multicultural Surveys (3MC): a Burgeoning Sub-Discipline in Survey Research Methods — Invited Papers
Survey Research Methods Section
Organizer(s): Kristen Cibelli Hibben, University of Michigan
Chair(s): Julie de Jong, University of Michigan
2:05 PM An Introduction to 3MC Surveys, the State-Of-The-Art, and Key Challenges
Johnson Timothy, University of Illinois at Chicago; Beth-Ellen Pennell, University of Michigan, Survey Research Center; Ineke Stoop, The Netherlands Institute for Social Research; Brita Dorer, GESIS
2:25 PM Error Sources and Quality Management in 3MC Surveys
Zeina Mneimneh, University of Michigan, Survey Research Center; Julie de Jong, University of Michigan; Kristen Cibelli Hibben, University of Michigan
2:45 PM Quality Procedures to Maximize Comparability Experiences from the European Social Survey
Rory Fitzgerald, European Social Survey; Sarah Butt, European Social Survey
3:05 PM Making the Case for 3MC Surveys as a Subdiscipline in Survey Research
Lars Lyberg, Inizio; Frauke Kreuter, Joint Program in Survey Methodology
3:25 PM Discussant: Brad Edwards, Westat
3:45 PM Floor Discussion
 
 

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
 
 

41
Sun, 7/28/2019, 2:00 PM - 3:50 PM CC-506
Non-Probability Sample and Probability Sample Matters Under What Context? — Contributed Papers
Survey Research Methods Section
Chair(s): Samantha Robinson, University of Arkansas
2:05 PM The Impact of Independence Assumption Violation in Capture Recapture Estimators of Catch from Electronic Reporting Systems
Presentation
Shalima Zalsha, Southern Methodist University; S. Lynne Stokes, Southern Methodist University; Benjamin M. Williams, University of Denver; Ryan P.A. McShane, Southern Methodist University
2:20 PM Bayesian Doubly Robust Adjustment for Finite Population Inference Using Big Data: Application to Naturalistic Driving Studies
Presentation
Ali Rafei, Institute for Social Research, University of Michigan; Michael Elliott, University of Michigan; Carol A.C. Flannagan, University of Michigan, Transport Research Institute
2:35 PM A Modified Two-Stage Sampling Scheme with Integrated Second Stage Sample
Presentation
Chia-Liang Weng; Chang-Tai Chao, National Cheng Kung University
2:50 PM Optimal Sample Design for Estimation of Catch from Electronically Reported Data
Presentation
Zhaoce Liu, Southern Methodist University; Lynne Stokes, Southern Methodist University
3:05 PM Weighting Matters: a Practical Application
Diane Hindmarsh, Bureau of Health Information NSW Australia; Carol Birrell, NIASRA; David Steel, NIASRA
3:20 PM Floor Discussion
 
 

43
Sun, 7/28/2019, 2:00 PM - 3:50 PM CC-105
SPEED: Statistics in Sports; Physical Activity/Sleep Studies, and Nonparametrics Part 1 — Contributed Speed
Section on Statistics in Sports, Biometrics Section, Survey Research Methods Section, Section on Bayesian Statistical Science, Section on Nonparametric Statistics
Chair(s): Andrew Swift, University of Nebraska at Omaha
Poster Presentations for this session.
2:05 PM Preference Probability Based on Ranks a New Approach Using Logistic Regression with Zero Intercept
Presentation 1 Presentation 2
Oluwagbenga Agboola, University of Northern Colorado
2:10 PM Quantifying the Deception of an MLB Pitch
Presentation
Jason Wilson, Biola University
2:15 PM Application of Data Analytics and Visualization in NCAA Division III Men’s Basketball
Presentation
Thomas Rhomberg
2:20 PM Devaluing the Yurchenko Full: The Effect of NCAA Women’s Gymnastics Code Modifications on Event and Total Scores
Elizabeth Jewell, University of Michigan
2:25 PM Faint Galaxies Detection: An Example of Guided Follow-Up with Imbalanced Data Sets
Niccolo Dalmasso, Carnegie Mellon University; Ann B. Lee, Carnegie Mellon University; Rafael Izbicki, Federal University of Sao Carlos
2:30 PM Is There Racial Bias in NFL Roughing the Passer Calls?
Presentation
Nilesh Shah, University of Pittsburgh
2:35 PM Longevity of NFL Players
Masaru Teramoto, University of Utah; Chad Cross, University of Nevada, Las Vegas; Daniel Cushman, University of Utah; Stuart Willick, University of Utah
2:40 PM Determining Optimal Skills for Beach Volleyball Partners
Presentation
Jacob Eliason, Brigham Young University; Gil Fellingham, Brigham Young University; Matthew Oehler, Brigham Young University
2:45 PM A SHINY Markov Machine for Decision-Making in Major League Baseball
Presentation
Jason Osborne, North Carolina State University
3:00 PM Meta-Analysis to Quantify Properties of Quarterback Metrics
Presentation
Julia Stiller; Michael Lopez, Skidmore College
3:05 PM Weighted Regression with Covariates Derived from Discrepancies Between High-Dimensional Predictors
Lucia Tabacu, Old Dominion University; Andrew Leroux, JHU; Ciprian Crainiceanu, Johns Hopkins University
3:10 PM Predicting the Success of Kickstarter Campaigns: a Bayesian Semiparametric Analysis
Michael Oduro-Safo, University of Northern Colorado; Han Yu, University of Northern Colorado
3:15 PM Minute-By-Minute Sleep Data: a SAS Macro to Create Summary Sleep Variables
Presentation
Laura Grau, University of Colorado-Biostatistics; Jaron Arbet, University of Colorado; Danielle Ostendorf, University of Colorado; Edward L Melanson, University of Colorado; Jill L Kaar, University of Colorado; Victoria A Catenacci, University of Colorado; Seth A. Creasy, University of Colorado
3:20 PM Interpretable Localized Time-Frequency Analysis via Penalized Reduced Rank Regression
Presentation
Marie Tuft, University of Pittsburgh; Rob Krafty, University of Pittsburgh
3:25 PM Information Theoretic Measures of Diversity
Presentation
Nikhil S Padhye, University of Texas Health Science Center at Houston; Marcia C de Oliveira Otto, University of Texas Health Science Center at Houston
3:30 PM Bayesian Semiparametric ROC Surface Estimation Under Verification Bias
Presentation
Rui Zhu, North Carolina State University; Subhashis Ghosal, North Carolina State University
3:35 PM Statistical Inference for L-Moments of Specific, Common Distributions
Timothy Shawn Anderson, Air Force Institute of Technology; Christine Schubert Kabban, Air Force Institute of Technology; Fairul Mohd-Zaid, Air Force Research Labs
3:40 PM Floor Discussion
 
 

63 *
Sun, 7/28/2019, 4:00 PM - 5:50 PM CC-113
Cryptocurrency Surveys: Challenges and Results from Central Banks — Topic Contributed Papers
Survey Research Methods Section, Business and Economic Statistics Section, Government Statistics Section
Organizer(s): Kevin M. Foster, Federal Reserve Bank of Atlanta
Chair(s): Marcin M. Hitczenko, Federal Reserve Bank of Atlanta
4:05 PM Measuring Consumer Cryptocurrency Adoption and Use in the United States
Presentation
Kevin M. Foster, Federal Reserve Bank of Atlanta
4:25 PM Ownership and Purchase Intention of Crypto-Assets Results from an Austrian Survey
Helmut Stix, Oesterreichische Nationalbank
4:45 PM Economic Networks with Incentives: The Mobile Money Case in Ecuador
Ivan Rivadeneyra, University of Hawaii - Manoa; Daniel Suthers, University of Hawaii - Manoa; Ruben Juarez, University of Hawaii - Manoa
5:05 PM Bubbles in My Bitcoin: Results from the 2018 Bitcoin Omnibus Survey
Presentation
Gradon Nicholls, Bank of Canada; Christopher Henry, Bank of Canada; Kim Huynh, Bank of Canada; Mitchell Nicholson, Bank of Canada
5:25 PM Discussant: Kim Huynh, Bank of Canada
5:45 PM Floor Discussion
 
 

66 * !
Sun, 7/28/2019, 4:00 PM - 5:50 PM CC-301
Improving Data Collection: Challenges in Survey Practice — Topic Contributed Papers
Government Statistics Section, Social Statistics Section, Survey Research Methods Section
Organizer(s): Daniel Yang, U.S. Bureau of Labor Statistics
Chair(s): Phil Kott, RTI
4:05 PM Leveraging Auxiliary Information on Marginal Distributions in Nonignorable Models for Item and Unit Nonresponse in Surveys
Presentation
Olanrewaju Michael Akande, Duke University; Gabriel Madson, Duke University; D. Sunshine Hillygus, Duke University; Jerry Reiter, Duke University
4:25 PM Improving Employer Data Collection- the Journey to Modernization of the U.S Equal Opportunity Commission’s Employer Information EEO-1 Survey
Presentation
Rashida Dorsey, US EEOC; Margaret Noonan, U.S. Equal Employment Opportunity Commission
4:45 PM Assessing How a Household Survey Is Perceived by Respondents
Daniel Yang, U.S. Bureau of Labor Statistics
5:05 PM Identifying Data Quality Outliers with Web Survey Response Times: Evaluation and Best Practices
Y. Patrick Patrick Hsieh, RTI International; Joe Murphy, RTI International
5:25 PM Multivariate Unit-Level Models for Non-Gaussian Survey Data Under Informative Sampling Designs
Presentation
Paul Parker, University of Missouri; Scott H. Holan, University of Missouri/U.S. Census Bureau; Ryan Janicki, U.S. Census Bureau
5:45 PM Floor Discussion
 
 

87
Sun, 7/28/2019, 4:00 PM - 4:45 PM CC-Hall C
SPEED: Statistics in Sports; Physical Activity/Sleep Studies, and Nonparametrics Part 2 — Contributed Poster Presentations
Section on Statistics in Sports, Biometrics Section, Survey Research Methods Section, Section on Bayesian Statistical Science, Section on Nonparametric Statistics
Chair(s): Wendy Meiring, University of California At Santa Barbara
Oral Presentations for this session.
16: Preference Probability Based on Ranks a New Approach Using Logistic Regression with Zero Intercept
Oluwagbenga Agboola, University of Northern Colorado
17: Quantifying the Deception of an MLB Pitch
Jason Wilson, Biola University
18: Application of Data Analytics and Visualization in NCAA Division III Men’s Basketball
Thomas Rhomberg
19: Devaluing the Yurchenko Full: The Effect of NCAA Women’s Gymnastics Code Modifications on Event and Total Scores
Elizabeth Jewell, University of Michigan
20: Is There Racial Bias in NFL Roughing the Passer Calls?
Nilesh Shah, University of Pittsburgh
21: Longevity of NFL Players
Masaru Teramoto, University of Utah; Chad Cross, University of Nevada, Las Vegas; Daniel Cushman, University of Utah; Stuart Willick, University of Utah
22: Determining Optimal Skills for Beach Volleyball Partners
Jacob Eliason, Brigham Young University; Gil Fellingham, Brigham Young University; Matthew Oehler, Brigham Young University
23: A SHINY Markov Machine for Decision-Making in Major League Baseball
Jason Osborne, North Carolina State University
25: Meta-Analysis to Quantify Properties of Quarterback Metrics
Julia Stiller; Michael Lopez, Skidmore College
26: Weighted Regression with Covariates Derived from Discrepancies Between High-Dimensional Predictors
Lucia Tabacu, Old Dominion University; Andrew Leroux, JHU; Ciprian Crainiceanu, Johns Hopkins University
27: Minute-By-Minute Sleep Data: a SAS Macro to Create Summary Sleep Variables
Laura Grau, University of Colorado-Biostatistics; Jaron Arbet, University of Colorado; Danielle Ostendorf, University of Colorado; Edward L Melanson, University of Colorado; Jill L Kaar, University of Colorado; Victoria A Catenacci, University of Colorado; Seth A. Creasy, University of Colorado
28: Interpretable Localized Time-Frequency Analysis via Penalized Reduced Rank Regression
Marie Tuft, University of Pittsburgh; Rob Krafty, University of Pittsburgh
29: Information Theoretic Measures of Diversity
Nikhil S Padhye, University of Texas Health Science Center at Houston; Marcia C de Oliveira Otto, University of Texas Health Science Center at Houston
30: Bayesian Semiparametric ROC Surface Estimation Under Verification Bias
Rui Zhu, North Carolina State University; Subhashis Ghosal, North Carolina State University
31: Predicting the Success of Kickstarter Campaigns: a Bayesian Semiparametric Analysis
Michael Oduro-Safo, University of Northern Colorado; Han Yu, University of Northern Colorado
32: Statistical Inference for L-Moments of Specific, Common Distributions
Timothy Shawn Anderson, Air Force Institute of Technology; Christine Schubert Kabban, Air Force Institute of Technology; Fairul Mohd-Zaid, Air Force Research Labs
33: Faint Galaxies Detection: An Example of Guided Follow-Up with Imbalanced Data Sets
Niccolo Dalmasso, Carnegie Mellon University; Ann B. Lee, Carnegie Mellon University; Rafael Izbicki, Federal University of Sao Carlos
Oral Presentations for this session.
 
 

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.
 
 

Register 96
Mon, 7/29/2019, 7:00 AM - 8:15 AM H-Centennial Ballroom G-H
Survey Research Methods Section A.M. Roundtable Discussion (Added Fee) — Roundtables AM Roundtable Discussion
Survey Research Methods Section
Organizer(s): Yang Cheng, US Census Bureau
ML07: Using Behavioral Insights to Increase Response Rates
Victoria A Velkoff, U.S. Census Bureau
 
 

98 *
Mon, 7/29/2019, 8:30 AM - 10:20 AM CC-607
The Multiple Adaptations of Multiple Imputation — Invited Papers
Survey Research Methods Section, Government Statistics Section, Social Statistics Section
Organizer(s): Joerg Drechsler, Institute for Employment Research
Chair(s): Joerg Drechsler, Institute for Employment Research
8:35 AM Multiple Imputation for Privacy Protection: Where Are We and Where Are We Going?
Presentation
Jerry Reiter, Duke University
9:00 AM Multiple Imputation Procedure for Record Linkage and Causal Inference to Estimate the Effects of Home-Delivered Meals
Presentation
Mingyang Shan, Brown University; Kali Thomas, Brown University; Roee Gutman, Brown University
9:25 AM Application of Multiple Imputation Methodology to Address Measurement Error Problems
Presentation
Trivellore Raghunathan, University of Michigan
9:50 AM Discussant: Donald B. Rubin, Tsinghua University; Temple University; Harvard University
10:10 AM Floor Discussion
 
 

106 * !
Mon, 7/29/2019, 8:30 AM - 10:20 AM CC-705
Administrative Income Data, Survey Data and Inequality — Invited Papers
Business and Economic Statistics Section, Government Statistics Section, Survey Research Methods Section
Organizer(s): Bruce D Meyer, University of Chicago
Chair(s): Marina Gindelsky, Bureau of Economic Analysis
8:35 AM Using Survey and Tax Data to Evaluate the Distribution of Personal Income
Presentation
David S. Johnson, University of Michigan; Marina Gindelsky, Bureau of Economic Analysis; Dennis Fixler, Bureau of Economic Analysis
9:00 AM Evaluating the Success of President Johnson’s War on Poverty: Revisiting the Historical Record Using a Full-Income Poverty Measure
Richard Burkhauser, Council of Economic Advisers; Kevin Corinth, Council of Economic Advisers; James Elwell, Cornell University; Jeff Larrimore, Federal Reserve Board
9:25 AM Estimating the Extent of Individual Income Tax Filing Noncompliance
Presentation
Alan H Plumley, Internal Revenue Service; Patrck Langetieg, Internal Revenue Service; Mark Payne, Internal Revenue Service
9:50 AM New Estimates of Poverty from the Comprehensive Income Data Set
Presentation
Bruce D Meyer, University of Chicago; Derek Wu, University of Chicago
10:15 AM Floor Discussion
 
 

119 * !
Mon, 7/29/2019, 8:30 AM - 10:20 AM CC-506
Statistical Data Editing Modernisation — Topic Contributed Papers
Government Statistics Section, Survey Research Methods Section, Committee on Applied Statisticians
Organizer(s): Katie Davies, Office for National Statistics
Chair(s): Charlotte Gaughan, Office for National Statistics
8:35 AM A Generalized Framework to Evaluate Imputation Strategies: Early Results on Business Survey Data
Presentation
Darren Gray, Statistics Canada
8:55 AM Evaluating Imputation Methods for the Agricultural Resource Management Survey
Darcy Miller, National Agricultural Statistics Service; Andrew Dau, National Agricultural Statistics Service; Audra Zakzeski, National Agricultural Statistics Service
9:15 AM Improving Edit and Imputation Strategies Through Feature Selection
Presentation
Andrew Stelmack, Statistics Canada
9:35 AM Improving Efficiency of Imputation Using Machine Learning
Presentation
Katie Davies, Office for National Statistics; Vinayak Anand-Kumar, Office for National Statistics
9:55 AM Incorporating Administrative Data into Population Census 2020
Presentation 1 Presentation 2
Jeslyn Tan, Ministry of Manpower; Jeremy Heng, Ministry of Manpower
10:15 AM Floor Discussion
 
 

138
Mon, 7/29/2019, 8:30 AM - 10:20 AM CC-504
Modeling Applications for Backcasting, Nowcasting and Forecasting — Contributed Papers
Survey Research Methods Section
Chair(s): Andrew A White, National Center for Education Statistics
8:35 AM Using American Community Survey Data to Improve Estimates from Smaller Surveys Through Bivariate Small Area Estimation Models
Carolina Franco, U.S. Census Bureau; William Bell, U.S. Census Bureau
8:50 AM Small Area Estimation with Small Sample Size National Household Surveys: a Multilevel Regression and Poststratification Approach with FoodAPS
Presentation
Xingyou Zhang, Economic Research Service, USDA; Alisha Coleman-Jensen, Economic Research Service, USDA; Shelly Ver Ploeg, Economic Research Service, USDA; Mark Denbaly, Economic Research Service, USDA
9:05 AM Model-Assisted Estimation of Mixed-Effect Model Parameters in Complex Surveys
Presentation
Eric Slud, U.S. Census Bureau
9:20 AM Consideration of Unsupervised Learning in the Detection of Systemic Errors Within the Current Employment Statistics Survey
Presentation
Matthew Corrigan, Bureau of Labor Statistics
9:35 AM Model-Based Crop Yield Forecasting; Covariate Selection and Related Issues
Habtamu Benecha, NASS/USDA; Luca Sartore, National Institute of Statistical Sciences; Nathan Cruze, USDA National Agricultural Statistics Service
9:50 AM Variable Selection for Multinomial Logistic Regression Modeling to Assign One of Six Census Mindsets to Database Records
Mary H. Mulry, U.S. Census Bureau; Yazmín A. García Trejo, U.S. Census Bureau; Nancy Bates, U.S. Census Bureau
10:05 AM Mode Effect, Patient-Mix Adjustment, and Nonresponse Analysis in the Consumer Assessment of Healthcare Providers and Systems Outpatient and Ambulatory Surgery Survey (OAS CAHPS)
Presentation
Patrick Chen, RTI International; Shampa Saha, RTI International; Marjorie Hinsdale-Shouse, RTI International
 
 

153 * !
Mon, 7/29/2019, 10:30 AM - 12:20 PM CC-101
Developing Multi-Purpose Imputed or Synthetic Data for Official Statistics — Invited Papers
Government Statistics Section, Survey Research Methods Section, Business and Economic Statistics Section
Organizer(s): Katherine J Thompson, U.S. Census Bureau
Chair(s): Demetra Lytras, U.S. Census Bureau
10:35 AM Finding a Flexible Hot Deck Imputation Method for Multinomial Data
Presentation
Rebecca Andridge, The Ohio State University College of Public Health; Laura Bechtel, U.S. Census Bureau; Katherine J Thompson, U.S. Census Bureau
10:55 AM Calibrated Imputation Under Edit Restrictions
Presentation
Ton De Waal, Statistics Netherlands; Jacco Daalmans, Statistics Netherlands
11:15 AM MLDS Synthetic Data Project: An Evaulation
Presentation
Mark Lachowicz, University of Maryland, College Park; Daniel Bonnery, University of Maryland and Maryland Longitudinal Data System Center ; Yi Feng, University of Maryland, College Park; Angela Henneberger, University of Maryland, Baltimore; Tessa Johnson, University of Maryland, College Park; Bess Rose, University of Maryland, Baltimore; Terry Shaw, University of Maryland, Baltimore; Laura Stapleton, University of Maryland, College Park; Michael Woolley, University of Maryland, Baltimore; Yating Zheng, University of Maryland, College Park
11:35 AM Developing Synthetic Data from the Economic Census Under Edit and Calibration Restrictions
Presentation
Katherine J Thompson, U.S. Census Bureau; Hang Joon Kim, University of Cincinnati
11:55 AM Discussant: Jeffrey Gonzalez, Bureau of Labor Statistics
12:15 PM Floor Discussion
 
 

157 *
Mon, 7/29/2019, 10:30 AM - 12:20 PM CC-102
Big Survey Meets Big Data: Integrating Administrative Data into the American Community Survey — Topic Contributed Papers
Survey Research Methods Section, Government Statistics Section, Social Statistics Section
Organizer(s): Victoria A Velkoff, U.S. Census Bureau
Chair(s): Victoria A Velkoff, U.S. Census Bureau
10:35 AM Broad Roles for Administrative and Third-Party Data in the ACS
Presentation
Jennifer Ortman, U.S. Census Bureau
10:55 AM Preliminary Research Investigating the Use of Administrative Records in the American Community Survey (ACS)
Nikolas Pharris-Ciurej, U.S. Census Bureau
11:15 AM Simulating ACS Housing Estimates Using Administrative Data
Robert Sawyer, U.S. Census Bureau
11:35 AM Measuring Income Using Administrative Data
Presentation
Jonathan L. Rothbaum, U.S. Census Bureau
11:55 AM Incorporating Administrative Data in ACS Editing and Imputation Procedures
Presentation
Sandra Clark, U.S. Census Bureau
12:15 PM Floor Discussion
 
 

158
Mon, 7/29/2019, 10:30 AM - 12:20 PM CC-104
Inference with Non-Probability Sample Through Data Integration — Topic Contributed Papers
Survey Research Methods Section, SSC, Korean International Statistical Society
Organizer(s): Sixia Chen, University of Oklahoma Health Sciences Center
Chair(s): Jae-kwang Kim, Iowa State University
10:35 AM Nonparametric Mass Imputation for Data Integration
Sixia Chen, University of Oklahoma Health Sciences Center; Jae-kwang Kim, Iowa State University; Shu Yang, North Carolina State University
10:55 AM A Data-Driven Approach to Cell Ratio Estimation for Item Nonresponse in Survey Sampling
Danhyang Lee, Iowa State University; Jae-kwang Kim, Iowa State University
11:15 AM A Kernel Weighting Approach to Improve Population Representativeness for Association Estimation
Presentation
Lingxiao Wang; Barry Graubard, National Cancer Institute; Hormuzd Katki, US National Cancer Institute; Yan Li, University of Maryland at College Park
11:35 AM General Purpose Multiply Robust Data Integration Procedure for Combining Probability and Non-Probability Samples
David Haziza, Université de Montréal; Sixia Chen, University of Oklahoma Health Sciences Center
11:55 PM Discussant: Phil Kott, RTI
12:15 PM Floor Discussion
 
 

169
Mon, 7/29/2019, 10:30 AM - 12:20 PM CC-103
SPEED:Improving Survey Data Quality with Multiple Data Sources, Administrative Data, and Nonresponse Bias Control — Contributed Speed
Survey Research Methods Section
Chair(s): Karol Krotki, RTI International
Poster Presentations for this session.
10:35 AM Accessing and Exploring NCES Survey and Administrative Data Through Self-Guided Online Training Modules
Presentation 1 Presentation 2
Andrew A White, National Center for Education Statistics
10:40 AM Hot Deck Imputation Cells for the American Housing Survey
Presentation
Chrystine Tadler, Insight Policy Research; Richard Griffiths, Insight Policy Research
10:45 AM Calibration Weighting for Nonreporting Agencies in FBI’s National Incident Based Reporting System
Presentation 1 Presentation 2
Philip Lee, RTI; Dan Liao, RTI International; Marcus Berzofsky, RTI; Alexia Cooper, Bureau of Justice Statistics
10:50 AM HIGHER ORDER CALIBRATED ESTIMATOR in TWO STAGE SAMPLING
Presentation
Veronica Salinas
10:55 AM Nurse Effects on Nonresponse to Survey-Based Biomeasures
Joseph Sakshaug, Institute for Employment Research / University of Mannheim; Alexandru Cernat, University of Manchester; Tarani Chandola, University of Manchester; James Nazroo, University of Manchester; Natalie Shlomo, University of Manchester
11:00 AM Carry Forward Imputation for Unit Non-Response After a Survey Redesign
Presentation
Kimberly Ault, RTI International
11:05 AM Effect of Monetary Incentives on Response Rates and Data Quality in a Survey of the U.S. Military
Presentation
David McGrath, Department of Defense (DOD)
11:10 AM Impact of Spatial Sampling on Survey Development and Analysis
Presentation
Atisha Amin, Ipsos; Beatrice Abiero, Ipsos
11:15 AM Comparison of Alternative Variance Estimators for Raking in the Presence of Nonresponse
Presentation
Daifeng Han, Westat; Richard Valliant, University of Maryland and University of Michigan
11:20 AM Proper Variance Estimation When Adjusting for Both Unknown Eligibility and Unit Nonresponse
Dhuly Chowdhury, RTI International; Phil Kott, RTI
11:30 AM Coverage Error in Administrative Data: An Assessment of the National Incident Based Reporting System
Presentation
Sarah Zimmermann, RTI International; Dan Liao, RTI International; Marcus Berzofsky, RTI; Alexia Cooper, Bureau of Justice Statistics
11:35 AM A Smooth Pseudo-Population Bootstrap Approach in Survey Sampling with Applications to Quantile Estimators
Christian Léger, Université de Montréal; Vanessa McNealis, Université de Montréal
11:45 AM Measures for Identifying Highly Associated Categorical Variables in Survey Data
Natalia Weil, Westat; Ismael Flores Cervantes, Westat
11:50 AM Oversampling Minority Populations in a Dual-Frame Telephone Survey
Presentation
Alexander Stubblefield, University of Oklahoma Health Sciences Center; Sixia Chen, University of Oklahoma Health Sciences Center; Julie Stoner, University of Oklahoma Health Sciences Center
11:55 AM Likelihood Based Estimation of Finite Population Mean with Post-Stratification Information Under Nonignorable Nonresponse
Presentation
Sahar Zangeneh, Fred Hutchinson Cancer Research Center; Roderick J Little, University of Michigan School of Public Health
12:00 PM Exploring Hybrid Methods for Estimation with Combined Probability and Nonprobability Samples
Presentation
Qiao Ma, NORC at University of Chicago; Edward Mulrow, NORC at the University of Chicago
12:10 PM An Evaluation of Traditional and Machine Learning Imputation Methods for Sampling Frame Construction for the American Voices Project
Cong Ye
12:15 PM Variance Estimation for Nearest Neighbor Imputed Data
Xiaofei Zhang, Iowa State Univ; Wayne Fuller, Iowa State University
 
 

Register 208
Mon, 7/29/2019, 12:30 PM - 1:50 PM H-Centennial Ballroom G-H
Survey Research Methods Section P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Survey Research Methods Section
Organizer(s): Yang Cheng, US Census Bureau
ML19: Constructing Better Coverage Intervals for Parameters Estimated from a Complex Sample Survey
Phil Kott, RTI
 
 

215 !
Mon, 7/29/2019, 2:00 PM - 3:50 PM CC-603
Evolving Survey Inference in the Big Data Era: Challenges and Opportunities — Invited Papers
Survey Research Methods Section, Government Statistics Section, IMS
Organizer(s): Yajuan Si, University of Michigan
Chair(s): Yajuan Si, University of Michigan
2:05 PM Small Area Estimation to Correct for Measurement Errors in Big Population Registers
Presentation
Dano Ben-Hur, Central Bureau of Statistics, Israel; Danny Pfeffermann, Central Bureau of Statistics and Hebrew Unversity, Israel, University of Southampton, UK
2:30 PM Revisiting Design-Based Inference
Presentation
Jean Opsomer, Westat
2:55 PM Novel Methods for Incorporating Sample Designs in Bayesian Inference
Presentation
Michael Elliott, University of Michigan; Yuqi Zhai, University of Michigan; Trivellore Raghunathan, University of Michigan
3:20 PM Combining Non-Probability and Probability Survey Samples Through Mass Imputation
Presentation
Jae-kwang Kim, Iowa State University; Seho Park , Dartmouth University ; Yilin Chen, University of Waterloo; Changbao Wu, University of Waterloo
3:45 PM Floor Discussion
 
 

236 * !
Mon, 7/29/2019, 2:00 PM - 3:50 PM CC-503
Linked Data to Advance Evidence Building in Public Policy — Topic Contributed Panel
Social Statistics Section, Survey Research Methods Section
Organizer(s): Asaph Young Chun, Statistical Research Institute of Statistics Korea; ISR Foundation
Chair(s): Justin Fisher, Government Accountability Office
2:05 PM Linked Data to Advance Evidence Building in Public Policy
Presentation 1 Presentation 2
Panelists: Paul Chun, Rowan College
Yun Seo Bae, ISR Foundation Center for Science Diplomacy
Asaph Young Chun, Statistical Research Institute of Statistics Korea; ISR Foundation
Steven Machlin, Agency for Healthcare Research and Quality
Joel Cohen, Agency for Healthcare Research and Quality
3:40 PM Floor Discussion
 
 

252
Mon, 7/29/2019, 2:00 PM - 2:45 PM CC-Hall C
SPEED:Improving Survey Data Quality with Multiple Data Sources, Administrative Data, and Nonresponse Bias Control, Part 2 — Contributed Poster Presentations
Survey Research Methods Section, Section on Teaching of Statistics in the Health Sciences
Chair(s): Karol Krotki, RTI International
Oral Presentations for this session.
21: Accessing and Exploring NCES Survey and Administrative Data Through Self-Guided Online Training Modules
Andrew A White, National Center for Education Statistics
22: Hot Deck Imputation Cells for the American Housing Survey
Chrystine Tadler, Insight Policy Research; Richard Griffiths, Insight Policy Research
23: Calibration Weighting for Nonreporting Agencies in FBI’s National Incident Based Reporting System
Philip Lee, RTI; Dan Liao, RTI International; Marcus Berzofsky, RTI; Alexia Cooper, Bureau of Justice Statistics
24: HIGHER ORDER CALIBRATED ESTIMATOR in TWO STAGE SAMPLING
Veronica Salinas
25: Nurse Effects on Nonresponse to Survey-Based Biomeasures
Joseph Sakshaug, Institute for Employment Research / University of Mannheim; Alexandru Cernat, University of Manchester; Tarani Chandola, University of Manchester; James Nazroo, University of Manchester; Natalie Shlomo, University of Manchester
26: Carry Forward Imputation for Unit Non-Response After a Survey Redesign
Kimberly Ault, RTI International
27: Effect of Monetary Incentives on Response Rates and Data Quality in a Survey of the U.S. Military
David McGrath, Department of Defense (DOD)
28: Impact of Spatial Sampling on Survey Development and Analysis
Atisha Amin, Ipsos; Beatrice Abiero, Ipsos
29: Comparison of Alternative Variance Estimators for Raking in the Presence of Nonresponse
Daifeng Han, Westat; Richard Valliant, University of Maryland and University of Michigan
30: Proper Variance Estimation When Adjusting for Both Unknown Eligibility and Unit Nonresponse
Dhuly Chowdhury, RTI International; Phil Kott, RTI
31: Coverage Error in Administrative Data: An Assessment of the National Incident Based Reporting System
Sarah Zimmermann, RTI International; Dan Liao, RTI International; Marcus Berzofsky, RTI; Alexia Cooper, Bureau of Justice Statistics
32: A Smooth Pseudo-Population Bootstrap Approach in Survey Sampling with Applications to Quantile Estimators
Christian Léger, Université de Montréal; Vanessa McNealis, Université de Montréal
34: Measures for Identifying Highly Associated Categorical Variables in Survey Data
Natalia Weil, Westat; Ismael Flores Cervantes, Westat
35: Oversampling Minority Populations in a Dual-Frame Telephone Survey
Alexander Stubblefield, University of Oklahoma Health Sciences Center; Sixia Chen, University of Oklahoma Health Sciences Center; Julie Stoner, University of Oklahoma Health Sciences Center
36: Likelihood Based Estimation of Finite Population Mean with Post-Stratification Information Under Nonignorable Nonresponse
Sahar Zangeneh, Fred Hutchinson Cancer Research Center; Roderick J Little, University of Michigan School of Public Health
37: Exploring Hybrid Methods for Estimation with Combined Probability and Nonprobability Samples
Qiao Ma, NORC at University of Chicago; Edward Mulrow, NORC at the University of Chicago
39: An Evaluation of Traditional and Machine Learning Imputation Methods for Sampling Frame Construction for the American Voices Project
Cong Ye
40: Variance Estimation for Nearest Neighbor Imputed Data
Xiaofei Zhang, Iowa State Univ; Wayne Fuller, Iowa State University
Oral Presentations for this session.
 
 

219171
Tue, 7/30/2019, 8:00 AM - 9:30 AM H-Mineral Hall F
SRMS Executive Committee Meeting (Closed) — Other Cmte/Business
Survey Research Methods Section
Chair(s): Kennon Copeland, NORC at the University of Chicago
 
 

285 *
Tue, 7/30/2019, 8:30 AM - 10:20 AM CC-112
Probabilistic Record Linkage and Inference with Merged Data — Topic Contributed Papers
Section on Statistics in Epidemiology, Social Statistics Section, Survey Research Methods Section
Organizer(s): Mauricio Sadinle, University of Washington
Chair(s): Mauricio Sadinle, University of Washington
8:35 AM Record Linkage for Public Health Action: a Comparison of Matching Algorithms
Presentation
Tigran Avoundjian, University of Washington Department of Epidemiology; Julia C Dombrowski, University of Washington; Mauricio Sadinle, University of Washington
8:55 AM Active Learning for Probabilistic Record Linkage
Presentation 1 Presentation 2 Presentation 3
Ted Enamorado, Princeton University
9:15 AM A Structured Prior for Sequential Bayesian Record Linkage
Presentation 1 Presentation 2
Brendan McVeigh, Carnegie Mellon University; Jared S Murray, University of Texas at Austin
9:35 AM Joint Record Linkage and Duplicate Detection via a Generative Prior on Partitions
Presentation
Serge Aleshin-Guendel, University of Washington; Mauricio Sadinle, University of Washington
9:55 AM Semiparametric Inference for Merged Data from Multiple Overlapping Sources
Takumi Saegusa, University of Maryland
10:15 AM Floor Discussion
 
 

289 * !
Tue, 7/30/2019, 8:30 AM - 10:20 AM CC-708
Assessing the Quality of Integrated Data — Topic Contributed Papers
Government Statistics Section, Survey Research Methods Section, Section on Statistical Learning and Data Science
Organizer(s): Lisa Mirel, CDC/NCHS
Chair(s): Jeffrey Gonzalez, Bureau of Labor Statistics
8:35 AM Practical Diagnostic Tools for Data Linkage Method
Presentation
MoonJung Cho, U.S. Bureau of Labor Statistics; Justin McIllece, U.S. Bureau of Labor Statistics
8:55 AM Balancing Data Confidentiality and Research Needs: NCHS Linked Mortality Files
Lisa Mirel, CDC/NCHS; Cordell Golden, CDC/NCHS/OAE/SPB; Cindy Zhang, CDC/NCHS/OAE/SPB
9:15 AM Tools for Evaluating Quality of State and Local Administrative Data
Presentation
Zachary H Seeskin, NORC at the University of Chicago; Gabriel Ugarte, NORC at the University of Chicago; Rupa Datta, NORC at the University of Chicago
9:35 AM The Implications of Misreporting for Longitudinal Studies of SNAP
Erik Scherpf, USDA Economic Research Service; Brian Stacy , USDA Economic Research Service
9:55 AM Discussant: Jennifer Parker, CDC/NCHS/OAE/SPB
10:15 AM Floor Discussion
 
 

292 * !
Tue, 7/30/2019, 8:30 AM - 10:20 AM CC-709
Providing Access to Useful Data While Preserving Confidentiality — Topic Contributed Papers
Survey Research Methods Section, Government Statistics Section, Stats. Partnerships Among Academe Indust. & Govt. Committee
Organizer(s): Daniell Toth, U.S. Bureau of Labor Statistics
Chair(s): Daniell Toth, U.S. Bureau of Labor Statistics
8:35 AM Statistical Disclosure Issues Involving Digital Images of ROC Curves
Ofer Harel, Dept of Statistics, U of Connecticut; Gregory Matthews
8:55 AM Pseudonymisation to Anonymisation: Addressing the GDPR in Survey Microdata
Presentation
Jane Li, Westat; Tom Krenzke, Westat; Lin Li, Westat
9:15 AM Bayesian Pseudo Posterior Synthesis for Data Privacy Protection
Presentation
Jingchen Hu, Vassar College; Terrance Savitsky, Bureau of Labor Statistics; Matthew Williams, National Science Foundation
9:35 AM PMSE Mechanism: Differentially Private Synthetic Data with Maximal Distributional Similarity
Joshua Snoke, RAND Corporation; Aleksandra Slavkovic, Penn State University
9:55 AM Floor Discussion
 
 

295
Tue, 7/30/2019, 8:30 AM - 10:20 AM CC-103
SPEED: Big Data, Small Area Estimation, and Methodological Innovations Under Development, Part 1 — Contributed Speed
Survey Research Methods Section, Quality and Productivity Section
Chair(s): Katherine McLaughlin, Oregon State University
Poster Presentations for this session.
8:35 AM Using Paradata to Explore Users Pathways Through Web Surveys
Presentation
Renee Ellis, U.S. Census Bureau
8:40 AM Why Machines Matter for Survey and Social Science Researchers: Exploring How Machine Learning Methods Can Be Applied to the Design, Collection and Analysis of Social Science Data
Antje Kirchner, RTI International; Trent Burskirk, Bowling Green State University
8:45 AM A Computationally Efficient Method for Selecting a Split Questionnaire Design
Presentation
Matthew Stuart; Cindy Yu, Iowa State University
8:50 AM Assessing the Relationship Between Balanced Sample and Sample Representativity
Presentation 1 Presentation 2
Yonil Park, US Census Bureau; Thomas John Chesnut, US Census Bureau
8:55 AM Trend Analysis for Complex Survey Data with Bayesian Approach
Presentation
Yi Mu, Centers for Disease Control and Prevention
9:00 AM Applications of R Shiny to Evaluate and Improve Total Survey Quality
Presentation 1 Presentation 2
Xiaodan Lyu, Iowa State University; Heike Hofmann, Iowa State University; Emily Berg, Iowa State University; Jie Li, Iowa State University; Xin Zhang, Iowa State University
9:05 AM Modifying State Sample Sizes for the National Crime Victimization Survey
Presentation
Samantha Spiers, U.S. Census Bureau; Sandra Peterson, U.S. Census Bureau; David Hornick, U.S. Census Bureau
9:10 AM Small Area Estimates of the Child Population and Poverty in School Districts Using Dirichlet-Multinomial Models
Presentation
Jerry Maples, U.S. Census Bureau
9:15 AM Re-Examining File-Level Re-Identification Risk Assessment
Presentation 1 Presentation 2
Lin Li, Westat; Jane Li, Westat; Tom Krenzke, Westat; Natalie Shlomo, University of Manchester
9:20 AM Small Area Estimation on Fatalistic Beliefs About Cancer Using the Health Information National Trends Survey
Benmei Liu, National Cancer Institute; Elise Rice, National Institute of Dental and Craniofacial Research; Richard Moser, National Cancer Institute
9:30 AM Multilevel Models for Assessing the Impact of the Presidential Youth Fitness Program
Presentation
Ronaldo Iachan, ICF Macro, Inc.
9:35 AM ADDRESSING DESIGN and ESTIMATION CHALLENGES WHEN USING MRP in PUBLIC HEALTH and BEHAVIORAL SCIENCE APPLICATIONS
Presentation 1 Presentation 2
Robert Petrin, Ipsos Public Affairs; Alexa DiBenedetto, Ipsos; Luke Vaicunas, Ipsos Public Affairs
9:40 AM Tracking Public Opinion with Twitter: a Critical Comparison of Cross-Sectional and Longitudinal Analyzes
Presentation 1 Presentation 2
Robyn Ferg; Johann A Gagnon-Bartsch, University of Michigan; Fred Conrad, University of Michigan
9:45 AM Recommendations for Assessing and Evaluating Variable Crosswalks
Presentation
Mitch Sevigny, Craig Hospital; Jessica Ketchum, Craig Hospital; David Mellick, Craig Hospital
9:50 AM A Practical Guide to Small Area Estimation, Illustrated Using the Ohio Medicaid Assessment Survey
Presentation
Rachel Harter, RTI International; Amang Sukasih, RTI International; Jeniffer Iriondo-Perez, RTI International; Akhil Vaish, RTI International
9:55 AM Benchmarking Mobile App Geofenced Samples: Adjusting for National Coverage and Selection Bias
Presentation
Davia Moyse, ICF; YangYang Deng, ICF Macro, Inc.; Matt Jans, ICF; Ronaldo Iachan, ICF Macro, Inc.; Richard (Lee) Harding, ICF; Kristie Healey, ICF; James Dayton, ICF; Scott Worthge, MFour Mobile Research; Laura O'Campo, MFour Mobile Research
10:00 AM Investigating the Value of Appending New Types of Big Data to Address-Based Survey Frames and Samples
Presentation
Paul John Lavrakas, Independent Consultant
10:05 AM Identity Disclosure Control in Microdata Release by Post-Randomization
Xiaoyu Zhai; Tapan Nayak, George Washington University
10:10 AM Entrepreneurship Environmental Success Factors in the Textiles and Apparel Industries
Presentation
Samaneh Pourmojib, North Carolina State University; Blanton Godfrey, North Carolina State University
10:15 AM Floor Discussion
 
 

333 *
Tue, 7/30/2019, 10:30 AM - 12:20 PM CC-505
Adaptive Survey Design: Recent Advances and New Potential — Topic Contributed Papers
Survey Research Methods Section, Government Statistics Section, Social Statistics Section
Organizer(s): Stephanie M Coffey, U.S. Census Bureau
Chair(s): Thomas Louis, Johns Hopkins Bloomberg SPH
10:35 AM Adapting Data Collection Activities Using Survey Fielding Metrics
A. Elizabeth Ormson, NORC at the University of Chicago; Rupa Datta, NORC at the University of Chicago; Weihuang Wong, NORC at the University of Chicago
10:55 AM Responsive and Adaptive Survey Design: Use of Bias Propensity During Data Collection to Reduce Nonresponse Bias
Presentation
Daniel Pratt, RTI International; Andrey Peytchev, RTI International; Michael Duprey, RTI International
11:15 AM Dynamic Interventions for Outcome Improvement: Minimizing Cost for a Fixed RMSE
Presentation
Stephanie M Coffey, U.S. Census Bureau
11:35 AM Using Cost-Calibration Trade-Offs in Establishment Surveys to Allocate Cases by Mode
Benjamin Martin Reist, USDA, NASS; Gavin Corral, National Agricultural Statistics Service (NASS); Andrew Dau, National Agricultural Statistics Service; Tyler Wilson, USDA, NASS; Audra Zakzeski, National Agricultural Statistics Service
11:55 AM Use of Adaptive and Responsive Design Concepts and Methods in the Integration of Multiple Data Sources
Presentation
John L. Eltinge, United States Census Bureau
12:15 PM Floor Discussion
 
 

335
Tue, 7/30/2019, 10:30 AM - 12:20 PM CC-504
SRMS/SSS/GSS Student Paper Competition — Topic Contributed Papers
Social Statistics Section, Survey Research Methods Section, Government Statistics Section
Organizer(s): Jeffrey Gonzalez, Bureau of Labor Statistics
Chair(s): Amanda Rae Ellis, Eastern Kentucky University
10:35 AM Polling Bias from Undecided Voters in Recent US Presidential Elections
Presentation
Joshua Bon, Queensland University of Technology; Timothy Ballard, University of Queesland; Bernard Baffour, Australian National University
10:55 AM Complementing the Power of Deep Learning with Statistical Model Fusion: Probabilistic Forecasting of Influenza in Dallas County, Texas, USA
Presentation
Marwah Soliman, University of Texas At Dallas; Yulia Gel, University of Texas at Dallas; Vyacheslav Lyubchich, University of Maryland Center for Environmental Science
11:15 AM Predicting Interviewer Effects Using Paradata
Presentation
Sharan Sharma, University of Michigan; Michael Elliott, University of Michigan
11:35 AM Reinforced Designs for Observational Studies of Treatment Effects: Multiple Instruments Plus Control Groups as Evidence Factors
Bikram Karmakar, University of Pennsylvania; Dylan Small, University of Pennsylvania; Paul Rosenbaum, University of Pennsylvania
11:55 AM Accounting for Survey Design in Bayesian Disaggregation of Survey-Based Areal Estimates of Proportions
Presentation
Marco Benedetti, University of Michigan; Veronica J. Berrocal, University of Michigan
12:15 PM Floor Discussion
 
 

354
Tue, 7/30/2019, 10:30 AM - 11:15 AM CC-Hall C
SPEED: Big Data, Small Area Estimation, and Methodological Innovations Under Development, Part 2 — Contributed Poster Presentations
Survey Research Methods Section, Quality and Productivity Section
Chair(s): Katherine McLaughlin, Oregon State University
Oral Presentations for this session.
17: Using Paradata to Explore Users Pathways Through Web Surveys
Renee Ellis, U.S. Census Bureau
18: Why Machines Matter for Survey and Social Science Researchers: Exploring How Machine Learning Methods Can Be Applied to the Design, Collection and Analysis of Social Science Data
Antje Kirchner, RTI International; Trent Burskirk, Bowling Green State University
19: A Computationally Efficient Method for Selecting a Split Questionnaire Design
Matthew Stuart; Cindy Yu, Iowa State University
20: Assessing the Relationship Between Balanced Sample and Sample Representativity
Yonil Park, US Census Bureau; Thomas John Chesnut, US Census Bureau
21: Trend Analysis for Complex Survey Data with Bayesian Approach
Yi Mu, Centers for Disease Control and Prevention
22: Applications of R Shiny to Evaluate and Improve Total Survey Quality
Xiaodan Lyu, Iowa State University; Heike Hofmann, Iowa State University; Emily Berg, Iowa State University; Jie Li, Iowa State University; Xin Zhang, Iowa State University
23: Modifying State Sample Sizes for the National Crime Victimization Survey
Samantha Spiers, U.S. Census Bureau; Sandra Peterson, U.S. Census Bureau; David Hornick, U.S. Census Bureau
24: Small Area Estimates of the Child Population and Poverty in School Districts Using Dirichlet-Multinomial Models
Jerry Maples, U.S. Census Bureau
25: Re-Examining File-Level Re-Identification Risk Assessment
Lin Li, Westat; Jane Li, Westat; Tom Krenzke, Westat; Natalie Shlomo, University of Manchester
26: Small Area Estimation on Fatalistic Beliefs About Cancer Using the Health Information National Trends Survey
Benmei Liu, National Cancer Institute; Elise Rice, National Institute of Dental and Craniofacial Research; Richard Moser, National Cancer Institute
27: Multilevel Models for Assessing the Impact of the Presidential Youth Fitness Program
Ronaldo Iachan, ICF Macro, Inc.
28: ADDRESSING DESIGN and ESTIMATION CHALLENGES WHEN USING MRP in PUBLIC HEALTH and BEHAVIORAL SCIENCE APPLICATIONS
Robert Petrin, Ipsos Public Affairs; Alexa DiBenedetto, Ipsos; Luke Vaicunas, Ipsos Public Affairs
29: Tracking Public Opinion with Twitter: a Critical Comparison of Cross-Sectional and Longitudinal Analyzes
Robyn Ferg; Johann A Gagnon-Bartsch, University of Michigan; Fred Conrad, University of Michigan
30: Recommendations for Assessing and Evaluating Variable Crosswalks
Mitch Sevigny, Craig Hospital; Jessica Ketchum, Craig Hospital; David Mellick, Craig Hospital
31: A Practical Guide to Small Area Estimation, Illustrated Using the Ohio Medicaid Assessment Survey
Rachel Harter, RTI International; Amang Sukasih, RTI International; Jeniffer Iriondo-Perez, RTI International; Akhil Vaish, RTI International
32: Benchmarking Mobile App Geofenced Samples: Adjusting for National Coverage and Selection Bias
Davia Moyse, ICF; YangYang Deng, ICF Macro, Inc.; Matt Jans, ICF; Ronaldo Iachan, ICF Macro, Inc.; Richard (Lee) Harding, ICF; Kristie Healey, ICF; James Dayton, ICF; Scott Worthge, MFour Mobile Research; Laura O'Campo, MFour Mobile Research
33: Investigating the Value of Appending New Types of Big Data to Address-Based Survey Frames and Samples
Paul John Lavrakas, Independent Consultant
34: Identity Disclosure Control in Microdata Release by Post-Randomization
Xiaoyu Zhai; Tapan Nayak, George Washington University
35: Entrepreneurship Environmental Success Factors in the Textiles and Apparel Industries
Samaneh Pourmojib, North Carolina State University; Blanton Godfrey, North Carolina State University
Oral Presentations for this session.
 
 

Register 373
Tue, 7/30/2019, 12:30 PM - 1:50 PM H-Centennial Ballroom G-H
Survey Research Methods Section P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Survey Research Methods Section
Organizer(s): Yang Cheng, US Census Bureau
TL17: Two Americas Now? What Polling Tells Us About Where We Stand
Mark Schulman, SSRS Research
 
 

379 * !
Tue, 7/30/2019, 2:00 PM - 3:50 PM CC-501
Achieving Adequate Representation When Surveying Rare Populations — Invited Papers
Journal of Survey Statistics and Methodology, Survey Research Methods Section, Government Statistics Section
Organizer(s): Tom Krenzke, Westat
Chair(s): Leyla Mohadjer, Westat
2:05 PM Application of Non-Probability and Probability-Based Link-Tracing Approaches to Sampling Out-Of-School Youth in Developing Countries
Presentation
Tom Krenzke, Westat; Leyla Mohadjer, Westat
2:30 PM Hybrid Estimates for Rare Populations: Probability Surveys Augmented with Targeted Nonprobability Samples
Presentation
Jill A Dever, RTI International
2:55 PM Exploring Mechanisms of Recruitment and Recruitment Cooperation in Respondent-Driven Sampling
Sunghee Lee, University of Michigan; Ai Rene Ong, University of Michigan; Michael Elliott, University of Michigan
3:20 PM Discussant: Jae-kwang Kim, Iowa State University
3:45 PM Floor Discussion
 
 

395 * !
Tue, 7/30/2019, 2:00 PM - 3:50 PM CC-702
Connecting Parallel Universes — Topic Contributed Papers
Survey Research Methods Section, Government Statistics Section, Business and Economic Statistics Section
Organizer(s): Arthur B Kennickell, Self
Chair(s): Barry W Johnson, Statistics of Income, IRS
2:05 PM HFCS Micro Simulation Model
Presentation
Miguel Ampudia, European Central Bank; Johannes Fleck, European Central Bank
2:25 PM Are Survey Data Underestimating the Inequality of Net Wealth?
Presentation
Tairi Room, Bank of Estonia; Jaanika Merikull, Bank of Estonia
2:45 PM Pooling (Data) Assets to Learn About Debts
Brian Bucks, Consumer Financial Protection Bureau
3:05 PM Labour Income Uncertainty During a Crisis
Presentation
Reamonn Lydon, Central Bank of Ireland; Julia Le Blanc, Deutsche Bundesbank
3:25 PM Machine Learning European Household Wealth
Johannes Fleck, European University Institute
3:45 PM Floor Discussion
 
 

403
Tue, 7/30/2019, 2:00 PM - 3:50 PM CC-Hall C
SPAAC Poster Competition — Topic Contributed Poster Presentations
Scientific and Public Affairs Advisory Committee, Survey Research Methods Section
Chair(s): Michael Messner, U.S. Environmental Protection Agency
1: Statistical Downscaling with Spatial Misalignment: Application to Wildland Fire PM2.5 Emissions Forecasting
Suman Majumder, North Carolina State University; Yawen Guan, North Carolina State University; Brian Reich, North Carolina State University; Ana Rappold, US Environmental Protection Agency
2: Estimation of Semiparametric Functional Coefficients Panel Data Model
Shaymal Halder, Auburn University; Emir Malikov, Auburn University
3: Bootstrap-Based Inference Method for Time-Dependent Dual-Frequency Coherence
Kamila Kazimierska, KAUST, Saudi Arabia; Ania Dudek, AGH, Poland; Hernando Ombao, King Abdullah University of Science and Technology (KAUST)
4: Wavelet Variances for Heavy-Tailed Time Series
Rodney Fonseca, University of Campinas; Debashis Mondal, Oregon State University; Lingjiao Zhang, University of Pennsylvania
5: A Causal Model to Estimate the Effect of Distance-Weighted Built Environment Exposures from Longitudinal Data
Adam Peterson; Brisa Sanchez, Drexel University
6: Poll-Based Bayesian Models to Predict United States Presidential Elections
Brittany Alexander; Leif Ellingson, Texas Tech University
7: Implementation Science and the Opportunity of Probabilistic Programming Languages
Patrick Wilson, Mayo Clinic; Curtis Storlie, Mayo Clinic
8: Estimation and Model Selection Methods for Polygenic Scores on Summary Statistics
Jack Pattee, University of Minnesota-Div of Biostatistics; Wei Pan, University of Minnesota
9: A Comparison of Missing Data Imputation Methods for Longitudinal Data
Meghan Sealey; Lan Zhu, Oklahoma State University
10: Using Black-Box Machine Learning Techniques to Identify Spatial Dependence in Occupancy Data
Narmadha Mohankumar, Kansas State University; Trevor Hefley, Kansas State University
11: Propensity Score Analysis to Reduce Bias in Comparing Gender Difference in Takotsubo Cardiomyopathy Using National Inpatient Sample
Hsin-Fang Li, Providence Health and Services
12: The Use of Bayesian Methods to Detect Test Fraud
Sandip Sinharay, Educational Testing Service; Matthew Johnson, Educational Testing Service
13: RWE for Lorazepam IV Regulatory Approval in Japan
Richard B. Chambers, Pfizer Inc; Kelly H Zou, Pfizer Inc; Yoshiomi Nakazuru, Pfizer R&D Japan; Shintaro Hiro, Pfizer R&D Japan; Michinori Terada, Pfizer R&D Japan; Alexa Parliyan, Pfizer Inc; Ahmed Shelbaya, Pfizer Inc; Patricia Schepman, Pfizer Inc
14: Power and Sample Size Considerations for the Test Negative Design
Yanan Huo; Natalie E Dean, University of Florida
15: Statistical Monitoring of Causal Treatment Effect on the Incidence and Severity of Adverse Events in Clinical Trials
Jiawei Duan, University of Kansas Medical Center; Jo Wick, University of Kansas Medical Center; Byron Gajewski, University of Kansas Medical Center, The University of Kansas Cancer; Matthew Mayo, University of Kansas Medical Center; Scott Weir, University of Kansas Medical Center
16: Deep Learning with GWAS to Predict AMD Progression
Tao Sun, University of Pittsburgh; Wei Chen, Children's Hospital of Pittsburgh of UPMC; Ying Ding, University of Pittsburgh
17: Sample Sizes Associated with a Choice of Normalization and Test Statistical Methods for Differential Gene Expression Analysis in RNA-Seq Studies
Xiaohong Li, University of Louisville; Nigel G.F. Cooper, University of Louisville; Timothy E O'Toole, University of Louisville; Eric C. Rouchka, University of Louisville
18: Using Surrogate Endpoints for Trials with Delayed Treatment Effect
Qing Li, Takeda; Jianchang Lin, Takeda Pharmaceuticals
19: Estimation of Speciation Times Under the Multispecies Coalescent
Jing Peng, The Ohio State University; Laura Kubatko, The Ohio State University; David Swofford, Duke University
20: Functional Change Detection for Mapping Annual Urban Dynamics Using Landsat Data
Xinyue Chang, Iowa State University ; Xiongtao Dai, Iowa State University ; Zhengyuan Zhu, Iowa State University
21: Detecting Participant Noncompliance Across Multiple Time Points: The CATCH ‘EM Method
Ross Peterson; David Michael Vock, University of Minnesota; Joseph Koopmeiners, University of Minnesota
22: Integrative Modeling of Multi-Omic Data Using a Mediation Framework
Ilana Trumble, University of Colorado Denver; Daniel Frank, University of Colorado Anschutz Medical Campus, Department of Medicine; Vijay Ramakrishnan, University of Colorado Anschutz Medical Campus, Department of Otolaryngology; Miranda Kroehl, Colorado School of Public Health
23: Utilizing the Internet as a Public Health Surveillance Medium: Outcomes from the RADARS® System Web Monitoring Program
Zachary R Margolin, Rocky Mountain Poison and Drug Center, Denver Health and Hospital Authority; Kevin W Wogenstahl, Rocky Mountain Poison and Drug Center, Denver Health and Hospital Authority; Joshua Curtis Black, Rocky Mountain Poison and Drug Center; Richard A Olson, Rocky Mountain Poison and Drug Center, Denver Health and Hospital Authority; Richard C Dart, Rocky Mountain Poison and Drug Center, Denver Health and Hospital Authority
24: The Use of BOIN Design in Practice: What We Have Learned
Suyu Liu, University Of Texas M.D. Anderson Cancer Center; Heather Lin, MD Anderson Cancer Center; Lei Feng, MD Anderson Cancer Center; Xuemei Wang, MD Anderson Cancer Center
25: Sample Size Evaluation for Oncology Phase II Trial Design
Jun Sun, ICON plc; Jill Stankowski, ICON plc
26: Testing Exchangeability in Spatiotemporal Random Processes
Trevor Harris, University of Illinois Urbana Champaign; Bo Li, University of Illinois at Urbana-Champaign; Nathan Steiger, Lamont-Doherty Earth Observatory; Jason Smerdon, Lamont-Doherty Earth Observatory; Naveen Naidu Narisetty, University of Illinois at Urbana Champaign; Derek Tucker, Sandia National Laboratories
27: An Analysis of Motorcyclist's Injury Severity in Florida Work Zones: a Random Parameter Approach with Heterogeneity in Means and Variances
Mouyid Islam, Center for Urban Transportation Research; Rahul Deshmukh, Center for Urban Transportation Research
28: Shape Constrained Function Estimation
Sutanoy Dasgupta, Florida State University
29: The Nonparametric Behrens-Fisher Problem with Dependent Replicates
Akash Roy, University of Texas At Dallas; FRANK KONIETSCHKE, Institut für Biometrie und Klinische Epidemiologie , Charité Universitätsmedizin Berlin; Solomon W. Harrar, University of Kentucky
30: Use of Quadratic Inference Function for Estimation of Marginal Intervention Effects in Cluster Randomized Trials
Hengshi Yu, University of Michigan, Ann Arbor; Fan Li, Duke University; Elizabeth L Turner, Duke University
31: Mixed Effects Models for Sequential, Multiple Assignment Randomized Trials (SMARTs)
Brook Luers, University of Michigan; Daniel Almirall, University of Michigan
32: Higher Significance with Smaller Samples: a Modified Sequential Probability Ratio Test
Sandipan Pramanik, Texas A&M University (College Station); Valen Johnson, Texas A&M University; Anirban Bhattacharya, TAMU
33: Bayesian Inference on Multivariate Medians and Quantiles
Indrabati Bhattacharya, North Carolina State University; Subhashis Ghosal, North Carolina State University
34: Obtain a Confidence Interval for Relative Treatment Difference Without Bootstrap
Ruji Yao, Merck; Amarjot Kaur, Merck & Co.; Qing Li, Merck Research Labs; Anjela Tzontcheva , Merck & Co., Inc.
35: Estimating Uncertainty of Small Area Estimates via Multilevel Regression and Post-Stratification: a Comparison of Bayesian, Bootstrapping and Monte Carlo Simulation Methods
Yan Wang, CDC; Xingyou Zhang, Economic Research Service, USDA; James B. Holt, CDC; Hua Lu, CDC; Janet B. Croft, CDC; Kurt J. Greenlund, CDC
36: Identifying the Optimal Timing of Surgery from Observational Data
Xiaofei Chen, Southern Methodist University/UT Southwestern; Daniel Heitjan, Southern Methodist University; Haekyung Jeon-Slaughter, UT Southwestern
37: Strategies for Pooling in Array Testing Configurations with Multiplex Assays
Christopher Bilder, University of Nebraska-Lincoln; Joshua Tebbs, University of South Carolina; Christopher McMahan, Clemson University
38: A Data-Driven Fallback Procedure for Multiple Comparisons
Jared Wolf, J.B. Hunt Transport Inc.; Hong Zhou, Arkansas State University
 
 

416
Tue, 7/30/2019, 2:00 PM - 3:50 PM CC-701
Nonresponse Errors and Fixes — Contributed Papers
Survey Research Methods Section
Chair(s): Barbara Robles, Federal Reserve Board
2:05 PM Exploring the Relationship Between Burden Factors and Survey Response
Morgan Earp, Bureau of Labor Statistics; Brandon Kopp, Bureau of Labor Statistics; John Dixon, Bureau of Labor Statistics
2:20 PM Using Survey Contact History to Study the Effect of Interviewer Strategies on Respondent Behavior
John Dixon, Bureau of Labor Statistics
2:35 PM A Comparison of Selective Versus Automatic Editing for Estimating Totals
Chin-Fang Weng, U.S. Census Bureau; Joanna Fane Lineback, U.S. Census Bureau
2:50 PM Assessment of an Imputation Process for the 2017 Census of Agriculture
Tara Murphy, USDA National Agricultural Statistics Service; Habtamu Benecha, NASS/USDA; Denise A. Abreu, USDA National Agricultural Statistics Service; Darcy Miller, National Agricultural Statistics Service
3:05 PM Visibility Imputation for Population Size Estimation Using Respondent-Driven Sampling
Presentation
Katherine McLaughlin, Oregon State University; Mark Handcock, University of California, Los Angles
3:20 PM Imputation in a National Health Survey: Balancing Data Quality with Respondent Burden in the Medical Expenditure Panel Survey (MEPS)
Presentation
Emily Mitchell, Agency for Healthcare Research and Quality; Jerrod Anderson, Agency for Healthcare Research and Quality; Samuel H Zuvekas, Agency for Healthcare Research and Quality
3:35 PM Population Size Estimation Using Multiple Respondent-Driven Sampling Surveys
Presentation
Brian Kim, University of Maryland, College Park; Mark Handcock, University of California, Los Angles
 
 

423
Tue, 7/30/2019, 2:00 PM - 3:50 PM CC-Hall C
Contributed Poster Presentations: Survey Research Methods Section — Contributed Poster Presentations
Survey Research Methods Section
Chair(s): Wendy Meiring, University of California At Santa Barbara
76: Evaluating Estimation Methods for Combining Probability and Nonprobability Samples Through a Simulation Study
Michael Yang, NORC at the University of Chicago; Nadarajasundaram Ganesh, NORC at the University of Chicago; Edward Mulrow, NORC at the University of Chicago; Vicki Pineau, NORC at the University of Chicago
77: Simulation Evaluation of Adaptive Survey Designs for a Community Health Survey
David Brown, Colorado State University; F Jay Breidt, Colorado State University
78: Impact of Survey Administation Mode on Educational Surveys
Yue Jia, Educational Testing Service
79: Methodological Considerations for Sampling in the Influenza Hospitalization Surveillance Network
Alissa O'Halloran, Centers for Disease Control and Prevention; Shikha Garg, CDC; Lauren Beacham, CDC; Charisse Cummings, CDC; Carrie Reed, CDC
80: The Impact of Adding a Survey Supplement on Response Rates
Holly Shulman, Centers for Disease Control
81: Assessment of Nonresponse in the 2016 National Hospital Care Survey
Iris Shimizu, National Center for Health Statistics; Geoffrey Jackson, National Cener for Health Statistics; Vladislav Beresovsky, National Center for Health Statistics
82: Methods for Incorporating Weighting Adjustments into a Replicate Weighting Strategy for the Public-Use NHIS
Van Parsons, National Center for Health Statistics
83: Internet Self-Response Projections for the 2020 Census
Megan Parker, Census Bureau
84: Method for Selecting Calibration Weights in a Non-Probability Epidemiological Survey
Joshua Curtis Black, Rocky Mountain Poison and Drug Center; Karilynn Rockhill, Rocky Mountain Poison and Drug Center; Alyssa Forber, Rocky Mountain Poison and Drug Center; Elise Amioka, Rocky Mountain Poison and Drug Center; K. Patrick May, Rocky Mountain Poison and Drug Center
85: Methods for Identifying Careless Responders in Online Survey Data
Elise Amioka, Rocky Mountain Poison and Drug Center; Joshua Curtis Black, Rocky Mountain Poison and Drug Center; Alyssa Forber, Rocky Mountain Poison and Drug Center; Karilynn Rockhill, Rocky Mountain Poison and Drug Center
86: Functional Covariate Adjustment in Survey Sampling
Hengfang Wang, Iowa State University of Science and Technology; Zhengyuan Zhu, Iowa State University; Jae-kwang Kim, Iowa State University
87: Evaluating the Contribution Acoustic Monitors Have in Predicting Bat Mist Netting Success
I'Yanna Scott; Patrick Zollner, Purdue University; Nerisa Taua, Purdue University; Cheyenne Gerdes, Purdue University; Laura D'Acunto, Purdue University
88: Statistical Disclosure Control with Machine Learning
Allshine Chen; Sixia Chen, University of Oklahoma Health Sciences Center; Yan Daniel Zhao, University of Oklahoma Health Sciences Center
 
 

Register 434
Wed, 7/31/2019, 7:00 AM - 8:15 AM H-Centennial Ballroom G-H
Survey Research Methods Section A.M. Roundtable Discussion (Added Fee) — Roundtables AM Roundtable Discussion
Survey Research Methods Section
Organizer(s): Yang Cheng, US Census Bureau
WL06: Planning and Developing Methods for the Proliferation of Non-Probability Data Sources
Kennon Copeland, NORC at the University of Chicago
 
 

438 * !
Wed, 7/31/2019, 8:30 AM - 10:20 AM CC-106
Missing Data Issues in Public Health Studies and Survey Sampling in the Era of Data Science — Invited Papers
Section on Statistics in Epidemiology, ENAR, Survey Research Methods Section
Organizer(s): Peisong Han, University of Michigan
Chair(s): Peisong Han, University of Michigan
8:35 AM Multilevel Multiple Imputation for Electronic Health Record and Survey Data: Your Flexible Friend
Presentation
James Robert Carpenter, London School of Hygiene & Tropcial Medicine; Matteo Quartagno, London School of Hygiene & Tropcial Medicine
9:00 AM New Predictive Mean Matching Imputation Methods for Cluster Randomized Trials
Presentation
Brittney Bailey, Amherst College; Rebecca Andridge, The Ohio State University College of Public Health
9:25 AM IT's NOT ALL ABOUT BIG DATA, but SOME of it IS
Presentation
Thomas Louis, Johns Hopkins Bloomberg SPH
9:50 AM Robust 'Squared' Estimators to Account for Selection Bias Due to Death in Estimating the Effect of Wealth Shock on Cognition for the Health Retirement Study
Presentation
Yaoyuan Vincent Tan, Rutgers University; Michael Elliott, University of Michigan; Carol A.C. Flannagan, University of Michigan, Transport Research Institute; Lindsay Pool, Northwestern University
10:15 AM Floor Discussion
 
 

442 * !
Wed, 7/31/2019, 8:30 AM - 10:20 AM CC-605
State-Of-The-Art Inferential Approaches for Non-Probability Samples — Invited Papers
Survey Research Methods Section
Organizer(s): Brady T. West, University of Michigan
Chair(s): Brady T. West, University of Michigan
8:35 AM Measures of the Degree of Departure from Ignorable Sample Selection
Presentation
Phil Boonstra, University of Michigan; Brady T. West, University of Michigan; Roderick J Little, University of Michigan School of Public Health; Rebecca Andridge, The Ohio State University College of Public Health
8:55 AM Decomposing Selection Bias in Nonprobability Surveys
Andrew Mercer, Pew Research Center
9:15 AM Sample Matching and Double Robust Estimation with Non-Probability Samples
Changbao Wu, University of Waterloo
9:35 AM On Application of a Response Propensity Model to Estimation from Web Samples
Presentation
Vladislav Beresovsky, National Center for Health Statistics
9:55 AM Discussant: Richard Valliant, University of Maryland - Emeritus Professor Retired
10:15 AM Floor Discussion
 
 

458 * !
Wed, 7/31/2019, 8:30 AM - 10:20 AM CC-708
Differential Privacy Research and Applications at the U.S. Census Bureau — Topic Contributed Papers
Government Statistics Section, Social Statistics Section, Survey Research Methods Section
Organizer(s): Robert Ashmead, Ohio Colleges of Medicine Government Resource Center
Chair(s): Nathan Cruze, USDA National Agricultural Statistics Service
8:35 AM Census Barriers Attitudes and Motivators Study: a Case Study in Differential Privacy at the U.S. Census Bureau
Presentation
Caleb Floyd, U.S. Census Bureau; Rolondo Rodríguez, U.S. Census Bureau
8:55 AM Rationing Out Privacy-Loss: Proportional Budget Expenditure in the 2020 Decennial Census Disclosure Avoidance System
Presentation
William Sexton, U.S. Census Bureau
9:15 AM Ensuring Output: Complex Constraints and Feasible Microdata Under Differential Privacy
Presentation
Philip Leclerc, US Census Bureau
9:35 AM Estimating the Variance of Complex Differentially Private Algorithms
Presentation
Robert Ashmead, Ohio Colleges of Medicine Government Resource Center
9:55 AM Floor Discussion
 
 

474
Wed, 7/31/2019, 8:30 AM - 10:20 AM CC-701
Survey Sampling and Variance Estimation: Recent Innovations — Contributed Papers
Survey Research Methods Section
Chair(s): Craig A. Hill, RTI International
8:35 AM Deriving Asymptotic Properties of Survey Sampling Estimators
Ismael Flores Cervantes, Westat
8:50 AM Expanding Variance Function Coverage in the Current Population Survey
Justin McIllece, U.S. Bureau of Labor Statistics
9:05 AM Fully Bayesian Estimation Under Informative Sampling
Presentation
Luis Leon Novelo, University of Texas-Health Science Center At Houston-School of Public Health; Terrance Savitsky, Bureau of Labor Statistics
9:20 AM Comparing Alternative Estimation Methods When Using Multi-Hit Approach to PSU Selection
Presentation
Sadeq R Chowdhury, Agency for Healthcare Research and Quality
9:35 AM Overview of the 2016-2025 National Health Interview Survey Sample Design
Chris Moriarity, National Center for Health Statistics; Van Parsons, National Center for Health Statistics; Kim Jonas, U.S. Census Bureau
9:50 AM Targeted Data Collection: Statistical Sampling to Enable Collection of Variables Not in the Surveillance, Epidemiology, and End Results (SEER) Database
Sarah Michalak, Los Alamos National Labs; Tanmoy Battacharya, Los Alamos National Laboratory; Nick Hengartner, Los Alamos National Laboratory; Donna Rivera, National Cancer Institute; Xiao-Cheng Wu, Louisiana Tumor Registry; Lynne Penberthy, National Cancer Institute
10:05 AM An Elementary Derivation of Kadane's Optimal Dynamic Sampling Plan
Presentation
Tommy Wright, US Census Bureau/Center for Statistical Research & Methodology
 
 

492 * !
Wed, 7/31/2019, 10:30 AM - 12:20 PM CC-205
Data Fabrication and Falsification: Protecting the Credibility and Impacts of Surveys — Invited Panel
Government Statistics Section, Survey Research Methods Section, ENAR
Organizer(s): Linda J Young, USDA National Agricultural Statistics Service
Chair(s): Kerrie Leslie
8:35 AM Data Fabrication and Falsification: Protecting the Credibility and Impacts of Surveys
Presentation 1 Presentation 2 Presentation 3 Presentation 4
Panelists: James Dahlhamer, US Centers for Disease Control and Prevention
Jill DeMatteis , Westat
Linda J Young, USDA National Agricultural Statistics Service
12:15 PM Floor Discussion
 
 

502 !
Wed, 7/31/2019, 10:30 AM - 12:20 PM CC-108
Propensity Score Methods to Conduct Observational Studies Using Complex Survey Data — Topic Contributed Papers
Survey Research Methods Section, Biometrics Section, Social Statistics Section
Organizer(s): Hyunshik James Lee, Westat
Chair(s): Natalia Weil, Westat
10:35 AM Estimating Generalized Propensity Scores with Survey and Nonresponse Weighted Data
Beth Ann Griffin, RAND Corporation; Michael Robbins, RAND Corporation; Brian G. Vegetabile, RAND Corporation; Daniel F. McCaffrey, Educational Testing Service
10:55 AM Causal Inference Using Propensity Score Methods with Clustered Survey Data
Presentation
Hyunshik James Lee, Westat; Duck-He Yang, Westat; Ning Rui, Westat
11:15 AM Assessing the Causal Effect of Cumulative Load for Recurrent Injury Events in Professional Tennis Using a Flexible Cox Marginal Structural Model
Presentation
Stephanie Kovalchik, Tennis Australia/Victoria University
11:35 AM Robust Estimation of the Causal Effect of Time-Varying Neighborhood Factors on Health Outcomes
Presentation
Michael Robbins, RAND Corporation; Beth Ann Griffin, RAND Corporation; Regina Shih, RAND Corporation; Mary Slaughter, RAND Corporation
11:55 PM Discussant: Eva Hisako DuGoff, University of Maryland
12:15 PM Floor Discussion
 
 

503 * !
Wed, 7/31/2019, 10:30 AM - 12:20 PM CC-106
Small Area Estimation with Relaxed Modeling Assumptions — Topic Contributed Papers
Survey Research Methods Section, Government Statistics Section, International Statistical Institute
Organizer(s): Andreea Erciulescu, Westat
Chair(s): Jane Li, Westat
10:35 AM Small Area Estimation of Entropy Inequality Measures: a Comparison Between Alternative Distribution Models
Silvia Pacei, University of Bologna; Maria Rosaria Ferrante, University of Bologna
10:55 AM Small Area Models for Skewed Brazilian Business Survey Data
Fernando Moura, IM-UFRJ; Denise Britz Nascimento Silva, ENCE-IBGE; Andre Felipe Neves, IBGE
11:15 AM Clustering Model for Estimation of Idiosyncratic Domains
Presentation
Julie Gershunskaya, U.S. Bureau of Labor Statistics; Terrance Savitsky, Bureau of Labor Statistics
11:35 AM Bayesian Monte Carlo Method for Estimating Small Area Complex Parameters Under Unit-Level Models with Skew-Normal Errors
Presentation
Mamadou Diallo
11:55 AM Hierarchical Bayesian Models for Small Areas with Dirichlet Processes
Balgobin Nandram, Worcester Polytechnic Institute
12:15 PM Floor Discussion
 
 

Register 540
Wed, 7/31/2019, 12:30 PM - 1:50 PM H-Centennial Ballroom G-H
Survey Research Methods Section P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Survey Research Methods Section
Organizer(s): Yang Cheng, US Census Bureau
WL16: What Do We Know About the Value of High-Quality Statistical Information? How Can We Learn More?
John L. Eltinge, United States Census Bureau
 
 

548 * !
Wed, 7/31/2019, 2:00 PM - 3:50 PM CC-603
Total Survey Errors in the Combination of Probability and Nonprobability Samples — Invited Papers
Survey Research Methods Section, Government Statistics Section, Social Statistics Section
Organizer(s): Michael Yang, NORC at the University of Chicago
Chair(s): Michael Yang, NORC at the University of Chicago
2:05 PM Combining Data from a Probability and Nonprobability Sample Using a Composite Estimator
Presentation
Burton Levine, RTI International
2:25 PM Total Survey Error: Approaches for Measuring Bias and Variance Components When Combining Probability and Non-Probability Samples
Nadarajasundaram Ganesh, NORC at the University of Chicago; Edward Mulrow, NORC at the University of Chicago; Vicki Pineau, NORC at the University of Chicago; Michael Yang, NORC at the University of Chicago
2:45 PM Multilevel Regression and Post-Stratification with Misreporting and Selection Bias
Presentation
Douglas Rivers, Stanford University
3:05 PM Discussant: Jill DeMatteis , Westat
3:25 PM Discussant: Andrew Mercer, Pew Research Center
3:45 PM Floor Discussion
 
 

555 * !
Wed, 7/31/2019, 2:00 PM - 3:50 PM CC-704
A Historical Perspective on the Application of Sampling Theory and Methods to Statistical — Invited Panel
Statistical Auditing Interest Group, History of Statistics Interest Group, Survey Research Methods Section
Organizer(s): John Hilton, Office of the Auditor General of Canada; Roger C. Pfaffenberger, Ryan, LLC
Chair(s): John Hilton, Office of the Auditor General of Canada
2:05 PM A Historical Perspective on the Application of Sampling Theory and Methods to Statistical Auditing
Presentation 1 Presentation 2
Panelists: Donald Roberts, University of Illinois - Emeritus Professor Retired
Wendy Rotz, Grant Thornton
Richard Valliant, University of Maryland - Emeritus Professor Retired
Ron Bartyczak, Internal Revenue Service - Retired
Alan H. Kvanli, University of North Texas
3:45 PM Floor Discussion
 
 

565 * !
Wed, 7/31/2019, 2:00 PM - 3:50 PM CC-705
Time Series in Government and National Statistics — Topic Contributed Papers
Government Statistics Section, Business and Economic Statistics Section, Survey Research Methods Section
Organizer(s): James Livsey, U.S. Census Bureau
Chair(s): James Livsey, U.S. Census Bureau
2:05 PM Trend-Cycle Filters Comparison for Real Time Macroeconomic Data
Presentation
Estella Dagum, University of Bologna; Silvia Bianconcini, University of Bologna
2:25 PM Using Daily Payment Processor Data to Determine Existence and Length of Retail Shopping Event Effects
Rebecca Hutchinson, US Census Bureau; Nicole Czaplicki, U.S. Census Bureau
2:45 PM Estimating the Variance of Seasonally Adjusted Series of Monthly Statistics Canada Surveys
Francois Verret, Statistics Canada; Catalin Dochitoiu, Statistics Canada
3:05 PM Assessing Residual Seasonality in the U.S. National Income and Product Accounts (NIPA) Aggregates
Baoline Chen, Bureau of Economic Analysis; Tucker McElroy, US Census Bureau; Osbert Pang, U.S. Census Bureau
3:25 PM Dealing with Discontinuities in Survey Reporting Periods and Their Impact on Seasonal Adjustment of Time Series
Presentation
Charlotte Gaughan, Office for National Statistics; Atanaska Nikolova, Office for National Statistics
3:45 PM Floor Discussion
 
 

579
Wed, 7/31/2019, 2:00 PM - 3:50 PM CC-702
Sampling, Variance Estimation, and Advancements with Auxiliary Data — Contributed Papers
Survey Research Methods Section
Chair(s): Maria Cuellar, University of Pennsylvania
2:20 PM Alternative Optimization Techniques for Sample Allocation in Surveys with National and Sub-National Precision Requirements
Presentation
Thomas John Chesnut, US Census Bureau; Shawn Baker, U.S. Census Bureau
2:35 PM TRUMP: Tuned Regression Unbiased Mean Predictor
Sarjinder Singh, Texas A&M University-Kingsville; Stephen Sedory, Texas A & M University-Kingsville
2:50 PM Generalized Variance Functions for Longitudinal Survey Data
Yan Lu, University of New Mexico; Guoyi Zhang, University of New Mexico; Yang Cheng, US Census Bureau
3:05 PM Benefit of Probability-Proportional-To-Size Sampling in Cluster Randomized Experiments
Presentation
Yeng Xiong; Michael Higgins, Kansas State University
3:20 PM New Methodology of Calibration in Stratified Random Sampling
Shameem Alam; Sarjinder Singh, Texas A & M University-Kingsville; Javid Shabbir, Quaid-e-Azam University Islamabad
3:35 PM Assessing the Utility of 2015 Medicare Advantage Encounter Data to Improve MCBS Estimates
Presentation
Holly Hagerty, NORC at the University of Chicago; Nicholas Davis, NORC at the University of Chicago; Michael Trierweiler, NORC at the University of Chicago
 
 

219012
Wed, 7/31/2019, 6:00 PM - 8:00 PM H-Centennial Ballroom A
SRMS Business Meeting — Other Cmte/Business
Survey Research Methods Section
Chair(s): Kennon Copeland, NORC at the University of Chicago
 
 

606 *
Thu, 8/1/2019, 8:30 AM - 10:20 AM CC-301
Address-Based Frame Enhancement: Recent Experience and Developments — Topic Contributed Papers
Survey Research Methods Section
Organizer(s): Michael Jones, Westat
Chair(s): Rachel Harter, RTI International
8:35 AM A Review of the Address Coverage Enhancement Scheme for In-Person Household Surveys
Presentation
Michael Jones, Westat; Sylvia M Dohrmann, Westat; Graham Kalton, Westat
8:55 AM Evaluation of Dwelling Unit Frame Coverage Enhancement: Case Study of the 2017 PIAAC Survey
Presentation
Wendy Van de Kerckhove, Westat; Tom Krenzke, Westat; Leyla Mohadjer, Westat; Weijia Ren, Westat
9:15 AM Enhanced Listing for Improving Address Frame Coverage: a Review
Ned English, NORC at the University of Chicago; Colm O'Muircheartaigh, NORC at the University of Chicago; Katie Archambeau, NORC at the University of Chicago
9:35 AM Developing and Evaluating a New Metric for Address-Based Sampling Frame Quality Assessment
Stephanie Zimmer, RTI International; Ashely Amaya, RTI International
11:55 AM Discussant: Jay Breidt, Colorade State University
10:15 AM Floor Discussion
 
 

623
Thu, 8/1/2019, 8:30 AM - 10:20 AM CC-302
Statistical Modeling: Benefits and Drawbacks — Contributed Papers
Survey Research Methods Section
Chair(s): Asaph Young Chun, Statistical Research Institute of Statistics Korea; ISR Foundation
8:35 AM A Reconsideration of the Gibbs Sampler for Small Area Estimation Models
William Bell, U.S. Census Bureau
8:50 AM Assessing the Relationship of Multiple Metrics in Consumer Tests
Jason Parcon, PepsiCo; Lisa Handrick, PepsiCo
9:05 AM Analysis of Familial Aggregation Using Recurrence Risk for Complex Survey Data
Cong Wang, FDA, Center for Biologics Evaluation and Research (CBER); Barry Graubard, National Cancer Institute; Zhaohai Li, The George Washington University
9:20 AM Statistical Learning for Complex Survey Data: Using Cross-Validation for Model Selection in Generalized Linear Models
Presentation
Darryl Creel
9:35 AM Estimating Means of Two Sensitive Quantitative Variables Simultaneously by Using Two Scrambled Responses
Maryam Murtaza; Sarjinder Singh, Texas A & M University-Kingsville; Zawar Hussain, Quaid-i-Azam University, Islamabad
9:50 AM Utilizing Paradata to Examine and Improve the Web Data Collection Process in Agricultural Census and Survey Programs
Robyn Sirkis, USDA National Agricultural Statistics Service (NASS); Pamela McGovern, U.S. Department of Agriculture
10:05 AM Estimations Based on Nonprobability Samples: a Simulation Study
Christian Bruch, GESIS; Barbara Felderer, University of Mannheim
 
 

631
Thu, 8/1/2019, 10:30 AM - 12:20 PM CC-603
Small Area Estimation: “Producing Estimates for Small Areas from Sampled Data” — Invited Papers
Survey Research Methods Section, Government Statistics Section
Organizer(s): Kelly McConville, Reed College
Chair(s): Kelly McConville, Reed College
10:35 AM Two-Fold and Three-Fold Subarea Models for Small-Area Estimation: Some Theory and Model Checking
Presentation
J. N. K. Rao, Carleton University
11:00 AM Small Area Estimation for an Informative Sample Design
Presentation
Emily Berg, Iowa State University
11:25 AM Small Area Estimates Using Tree Based Models
Presentation
Daniell Toth, U.S. Bureau of Labor Statistics; Kelly McConville, Reed College
11:50 AM Interpolating Distributions for Populations in Nested Geographies Using Public-Use Data with Application to the American Community Survey
Scott H. Holan, University of Missouri/U.S. Census Bureau; Matthew Simpson, SAS; Christopher K. Wikle, University of Missouri; Jonathan R. Bradley, Florida State University
12:15 PM Floor Discussion