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Activity Details


9 * ! 		Sun, 8/8/2021, 1:30 PM - 3:20 PM Virtual
COVID-19 and Survey Sampling: Challenges and Opportunities — Invited Papers
Survey Research Methods Section, Section on Statistics in Epidemiology
Organizer(s): Ananda Sen, University of Michigan ; Yajuan Shi, University of Michigan
Chair(s): Ananda Sen, University of Michigan
1:35 PM Measures of Departure from Probability Sampling
Roderick Joseph Little, University of Michigan
2:00 PM Bayesian Analysis of Tests with Unknown Specificity and Sensitivity
Andrew Gelman, Columbia University; Bob Carpenter, Flatiron Institute
2:25 PM A Design for Hospital-Based Coronavirus Tracking
Yajuan Si, University of Michigan; Len Covello, Community Hospital; Andrew Gelman, Columbia University; Siquan Wang, Columbia University
2:50 PM Using the Facebook Platform to Create a Global Symptom and Pandemic Effects Monitoring Resource
Frauke Kreuter, University of Maryland and University of Mannheim; Neta Barkay, Facebook Research; Curtiss Cobb, Facebook Research; Roee Eilat, Facebook Research; Tal Galili, Facebook Research; Daniel Haimovich, Facebook Research; Sarah LaRocca, Facebook Research; Katherine Morris, Facebook Research; Tal Sarig, Facebook Research
3:15 PM Floor Discussion
 
 

14 		Sun, 8/8/2021, 1:30 PM - 3:20 PM Virtual
Remembering Lars Lyberg and His Widespread Impacts on the Survey Research Community — Invited Papers
Memorial, History of Statistics Interest Group, Survey Research Methods Section
Organizer(s): Michael R. Elliott, University of Michigan; Frauke Kreuter, University of Maryland and University of Mannheim; Brady T. West, University of Michigan
Chair(s): Brady T. West, University of Michigan
1:35 PM An International Man of Action
Paul Biemer, RTI International
1:50 PM Lars Lyberg in the Context of the Evolution of Survey Methodology
Bob Groves, Georgetown University
2:05 PM Lars, the Journal of Official Statistics, and Statistics Sweden
Ingegerd Jansson, Statistics Sweden
2:20 PM Lars Lyberg: Mentor and Editor
Edith de Leeuw, Utrecht University
2:35 PM A Fond Memory of Lars
Phillip Kott, RTI International
2:50 PM Lars Lyberg: A Leader in Survey Research
Dan Kaspryzyk, NORC
3:05 PM Lars Lyberg's Contributions
Frauke Kreuter, University of Maryland and University of Mannheim
 
 

50 * ! 		Sun, 8/8/2021, 3:30 PM - 5:20 PM Virtual
Advances in Spatial Statistics for Survey Methodology and Official Statistics — Topic-Contributed Papers
Survey Research Methods Section, Government Statistics Section, Business and Economic Statistics Section
Organizer(s): Scott Holan, University of Missouri
Chair(s): Scott Holan, University of Missouri
3:35 PM Bayesian Dasymetric Modeling
Matthew Simpson, SAS Institute; Scott Holan, University of Missouri; Christopher Wikle, University of Missouri
3:55 PM Hierarchical Bayesian Mixed Effect Models for Spatially Correlated Areal Count-Valued Data When Covariates Are Measured with Error
Saikat Nandy, University of Missouri; Scott Holan, University of Missouri
4:15 PM An Accurate Corset Methodology for Efficient Reduction of Spatial Data
Ranadeep Daw, University of Missouri; Christopher Wikle, University of Missouri
4:35 PM A Spatial Change of Support Model for Differentially Private Measurements, with Application to Estimation of Counts of Persons in AIAN Areas by Detailed Race Groups
Ryan Janicki, US Census Bureau; Andrew Raim, U. S. Census Bureau; Kyle Irimata, U.S. Census Bureau; James A Livsey, U. S. Census Bureau; Scott Holan, University of Missouri
4:55 PM A Bayesian Functional Data Model for Surveys Collected Under Informative Sampling with Application to Mortality Estimation Using NHANES
Paul Parker, University of Missouri; Scott Holan, University of Missouri
5:15 PM Floor Discussion
 
 

54 		Sun, 8/8/2021, 3:30 PM - 5:20 PM Virtual
Record Linkage, Data Integration, and Improving Survey Measurement — Contributed Speed
Survey Research Methods Section
Chair(s): Samantha Spiers, U.S. Census Bureau
3:35 PM A Unified Bayesian Framework for Statistical Matching
Gauri Kamat, Brown University; Roee Gutman, Brown University
3:40 PM Administrative Record Use in the 2020 Census for Modeling and Processing
Andrew D. Keller, US Census Bureau
3:45 PM Assessing the Quality of Blended Statistics in a Federal Health Survey Presentation
Liz Kantor, NORC at the University of Chicago; Ann Bisognano, NORC at the University of Chicago; Michael Trierweiler, NORC at the University of Chicago
3:50 PM Overview of Administrative Records Modeling in the 2020 Census
Mary Mulry, U.S. Census Bureau; Tom Mule, U.S. Census Bureau; Andrew D. Keller, US Census Bureau; Scott Konicki, U.S. Census Bureau
3:55 PM An Approach to Estimate the Reidentification Risk in Longitudinal Survey Microdata
Jianzhu Li, Westat; Lin Li, Westat; Tom Krenzke, Westat; Wan-Ying Chang, National Science Foundation
4:00 PM Bayesian Inference for Nonprobability Samples
Lyric Liu, Worcester Polytechnic Institute ; Nandram Balgobin, Worcester Polytechnic Insttute
4:05 PM Improving the Representativeness of Tribal BRFSS Through Data Integration
Sixia Chen, University of Oklahoma Health Sciences Center; Janis Campbell, University of Oklahoma Health Science Center; Erin Spain, Southern Tribal Health Board; Alexandra Milligan, University of Oklahoma Health Science Center; Cuyler Snider, Southern Tribal Health Board
4:10 PM Machine Learning-Based Data Integration Procedures for Handling Nonprobability Sample
James Cutler, University of Oklahoma Health Sciences Center; Sixia Chen, University of Oklahoma Health Sciences Center; Chao Xu, University of Oklahoma Health Sciences Center
4:15 PM Boat-Based Fishing Surveys in the US Pacific Island Territories: Survey Design, Catch and Effort Estimation, and Sensitivity Analyses Presentation
Hongguang Ma, NOAA Pacific Islands Fisheries Science Center; Toby Matthews, University of Hawaii ; Felipe Carvalho, NOAA Pacific Islands Fisheries Science Center; Marc Nadon, NOAA Pacific Islands Fisheries Science Center / University of Hawaii
4:20 PM OptimalFisheryDesign: An R Package for Fishery Sampling Designs
Zhaoce Liu, Mathematica Inc.; Lynne Stokes, Southern Methodist University
4:30 PM A Model-Assisted Approach for Distinguishing Two Nonresponses in Achievement Test or Survey Data
Yu-Wei Chang, National Chengchi University
4:35 PM How Can We Use Mixture, Multi-Process, and Other Multi-Dimensional Item Response Theory Models to Account for Midpoint and Extreme Response Style Use in Personality Assessment?
Michael Lucci, University of Pittsburgh at Greensburg
4:40 PM Measurement and Selection Errors in Recall and Diary Responses
Gradon Nicholls, Bank of Canada; Heng Chen, Bank of Canada
4:45 PM A Model-Assisted Approach for Finding Coding Errors in Manual Coding of Open-Ended Questions
Matthias Schonlau, University of Waterloo; Zhoushanyue He, University of Waterloo
4:50 PM Nonparametric Model-Assisted Estimation from Quantitative Randomized Response Models
Sayed Mostafa, North Carolina A&T State University
4:55 PM A Comparison of Indirect Questioning Techniques for Binary Responses
Jessica K. Fox, LSU Health Sciences Center School of Public Health Biostatistics Program; Evrim Oral, LSU Health Sciences Center School of Public Health Biostatistics Program
5:00 PM A Public Health Application of a Randomized Response Model Based on Applied Neuroscience
Augustus Jayaraj, Cornell University; Sarjinder Singh, Texas A&M University -Kingsville; Oluseun Odumade, Deloitte & Touche
5:05 PM Inspecting Regression Trees of Subjective Burden Perception with Objective Burden Measures in a Household Survey Presentation
Daniel Yang, Bureau of Labor Statistics
5:10 PM Web Survey Response Times: What to Do and What Not to Do
Ioannis Andreadis, Aristotle University of Thessaloniki
5:15 PM Relative Standard Error: A Misleading Indicator for Cell Suppression and Publishing Guidelines for Estimates of Proportions
Sadeq R Chowdhury, Agency for Healthcare Research and Quality; David K Kashihara, Agency for Healthcare Research and Quality
 
 

67 ! 		Mon, 8/9/2021, 10:00 AM - 11:50 AM Virtual
Privacy in the Context of Digital Trace and Sensor Data — Invited Papers
Survey Research Methods Section, Caucus for Women in Statistics
Organizer(s): Bella Struminskaya, Utrecht University
Chair(s): Bella Struminskaya, Utrecht University
10:05 AM Another Invisible Threat: Unequal Privacy Cost of Tracing COVID-19
Claire McKay Bowen, Urban Institute; Joshua Snoke, RAND Corp.
10:30 AM Contextual Integrity as a Framework for Assessing Privacy Violations from Digital Trace Data
Jessica Vitak, University of Maryland
10:55 AM Learning from the People: Responsibly Encouraging Adoption of Contact Tracing Apps
Elissa M. Redmiles, Max Planck Institute for Software Systems
11:20 AM Data Collection Using Smartphones: Concerns About Data Sharing and Framing Effects
Florian Keusch, University of Mannheim
11:45 AM Floor Discussion
 
 

Register 103 		Mon, 8/9/2021, 12:00 PM - 1:20 PM Virtual
Survey Research Methods Section P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Survey Research Methods Section
ML14: Inference from Blended Probability and Nonprobability Samples
Marcus Berzofsky, Research Triangle Institute
ML15: The Role of Statistics in Open Science and Publicly Accessible Research Data
Sarah Nusser, Iowa State University
 
 

126 * ! 		Mon, 8/9/2021, 1:30 PM - 3:20 PM Virtual
Interpreting Nonprobability Samples: Discoveries and Challenges — Topic-Contributed Papers
Survey Research Methods Section, Government Statistics Section, Social Statistics Section
Organizer(s): Michael Yang, NORC at the University of Chicago
Chair(s): Katherine Jenny Thompson, U.S. Census Bureau
1:35 PM Exploring Nonprobability Methods with Simulations from a Common Data Source: Culture and Community in a Time of Crisis
Jennifer Benoit-Bryan, Slover Linett Audience Research
1:55 PM Combining Data from Probability and Non-Probability Samples Using Penalized Spline of Propensity Prediction Presentation
Michael R. Elliott, University of Michigan; Ali Rafei, University of Michigan; Carol Flannagan, University of Michigan
2:15 PM Estimators with Combined Probability and Nonprobability Samples Using Small Area Models
Michael Yang, NORC at the University of Chicago; Nada Ganesh, NORC at the University of Chicago; Evan Herring-Nathan, NORC at the University of Chicago; Vicki Pineau, NORC at the University of Chicago
2:35 PM Creating Statistically-Defensible Calibrated Weights for a Blended Sample and Measuring the Accuracy of the Resulting Estimates Presentation
Phillip Kott, RTI International; Jamie Ridenhour, RTI International
2:55 PM Discussant: Edward Mulrow, NORC at the University of Chicago
3:15 PM Floor Discussion
 
 

147 * ! 		Tue, 8/10/2021, 10:00 AM - 11:50 AM Virtual
Producing Official Statistics During a Pandemic: Advances Under Adversity — Invited Papers
Government Statistics Section, Survey Research Methods Section, Social Statistics Section
Organizer(s): Linda J Young, USDA National Agricultural Statistics Service
Chair(s): Yang Cheng, USDA National Agricultural Statistics Service
10:05 AM Methodological Innovations Behind the COVID-19 Household Pulse Survey
Jason Fields, U.S. Census Bureau; Jennifer Hunter Childs, US Census Bureau; Anthony Tersine, U.S. Census Bureau
10:30 AM Producing National Health Estimates During a Pandemic
Morgan Earp, National Center for Health Statistics; Stephen Blumberg, National Center for Health Statistics; Carol DeFrances, National Center for Health Statistics; Ryne Paulose, National Center for Health Statistics
10:55 AM BLS Business Surveys in the Wake of COVID-19: Changes to Data Collection, Imputation, and Estimation
Kenneth W Robertson, U.S. Bureau of Labor Statistics
11:20 AM Discussant: Linda J Young, USDA National Agricultural Statistics Service
11:40 AM Floor Discussion
 
 

154 * ! 		Tue, 8/10/2021, 10:00 AM - 11:50 AM Virtual
Some New Innovations in Survey Sampling and Missing Data Problems — Topic-Contributed Papers
Survey Research Methods Section, SSC (Statistical Society of Canada), Korean International Statistical Society
Organizer(s): Sixia Chen, University of Oklahoma Health Sciences Center
Chair(s): David Haziza, University of Ottawa
10:05 AM General-Purpose Multiply Robust Estimation Procedure for Handling Missing Data
Sixia Chen, University of Oklahoma Health Sciences Center; David Haziza, University of Ottawa
10:25 AM Random Forests Imputation in Surveys
Mehdi Dagdoug, Université de Bourgogne Franche Comté; Camelia Goga, Université de Bourgogne Franche Comté; David Haziza, University of Ottawa
10:45 AM Multiply robust bootstrap procedure in the presence of imputed survey data
Zeinab Mashreghi, University of Winnipeg; Sixia Chen, University of Oklahoma Health Sciences Center; David Haziza, University of Ottawa
11:05 AM Discussant: Don Jang, National Opinion Research Center(NORC) at the University of Chicago
11:20 AM Floor Discussion
 
 

Register 180 		Tue, 8/10/2021, 12:00 PM - 1:20 PM Virtual
Survey Research Methods Section P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Survey Research Methods Section
TL14: The Conditions of America’s Learners During COVID-19: What Do Federal Statistics Tell Us?
Marilyn Seastrom, National Center for Education Statistics
TL15: Use of Administrative Data for Surveys
Michael D Larsen, St. Michael's College
 
 

185 * 		Tue, 8/10/2021, 1:30 PM - 3:20 PM Virtual
The Missing Puzzle Piece: Estimating Survey Data Collection Costs — Invited Papers
Survey Research Methods Section, Government Statistics Section, Social Statistics Section
Organizer(s): Stephanie Coffey, U.S. Census Bureau
Chair(s): Stephanie Coffey, U.S. Census Bureau
1:35 PM Examining Variation in Survey Costs Across Surveys
Kristen Olson, University of Nebraska-Lincoln; Jennifer Dykema, University of Wisconsin Survey Center; John Stevenson, University of Wisconsin Survey Center; Lindsey Witt-Swanson, Bureau of Sociological Research
2:00 PM Is the Price Right? Predicting Future Survey Costs Using Previous Cycles Presentation
Kayla Marie Varela, US Census Bureau
2:25 PM Using Machine Learning and Statistical Models to Predict Survey Costs
James Wagner, University of Michigan; Brady T. West, University of Michigan; Michael R. Elliott, University of Michigan; Stephanie Coffey, U.S. Census Bureau
2:50 PM Discussant: John L Eltinge, U.S. Census Bureau
3:10 PM Floor Discussion
 
 

230 		Wed, 8/11/2021, 10:00 AM - 11:50 AM Virtual
Biased Data, Biased Models? Bridging Advances in Survey Research and Computer Science for Improving Fairness in Algorithmic Decision-Making — Invited Panel
Survey Research Methods Section, Section on Statistical Learning and Data Science
Organizer(s): Ruben Bach, University of Mannheim; Christoph Kern, University of Mannheim
Chair(s): Frauke Kreuter, University of Maryland and University of Mannheim
10:05 AM Biased Data, Biased Models? Bridging Advances in Survey Research and Computer Science for Improving Fairness in Algorithmic Decision-Making
Panelists: Trent Buskirk, Bowling Green State University
Rayid Ghani, Carnegie Mellon University
Daniel Oberski, Utrecht University
Omer Reingold, Stanford University
11:45 AM Floor Discussion
 
 

239 * 		Wed, 8/11/2021, 10:00 AM - 11:50 AM Virtual
The 2020 FCSM Data Quality Framework: Future Directions — Topic-Contributed Papers
Government Statistics Section, Survey Research Methods Section
Organizer(s): Jennifer D Parker, NCHS
Chair(s): Linda J Young, USDA National Agricultural Statistics Service
10:05 AM 'Ask US' About Coverage Error: An Investigation from a New Inter-Agency Online Panel
Emilia Peytcheva, RTI International; Jennifer Hunter Childs, US Census Bureau
10:25 AM Expanding Data Linkage Opportunities and Measuring Quality
Lisa B. Mirel, CDC/NCHS/DAE; Dean Resnick, NORC; Christine Cox, NORC; Jonathan Aram, CDC/NCHS/DAE
10:45 AM Visual and Interactive Tools for Assessing Data Quality Presentation
Zachary H. Seeskin, NORC at the University of Chicago; Kiegan Rice, NORC at the University of Chicago
11:05 AM Transportation Data for Decision-Making During the COVID-19 Pandemic Presentation
Rolf Schmitt, Bureau of Transportation Statistics
11:25 AM Discussant: Jennifer D Parker, NCHS
11:45 AM Floor Discussion
 
 

Register 258 		Wed, 8/11/2021, 12:00 PM - 1:20 PM Virtual
Survey Research Methods Section P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Survey Research Methods Section
WL13: Evaluation and Performance of Privacy Preserving Record Linkage (PPRL)
Dean Resnick, NORC
WL14: Machine Learning with Complex Survey Data
Jerzy Wieczorek, Colby College
 
 

277 		Wed, 8/11/2021, 1:30 PM - 3:20 PM Virtual
ASA Student Paper Competition Winners — Topic-Contributed Papers
Government Statistics Section, Survey Research Methods Section, Social Statistics Section
Organizer(s): Stephen Campbell, NIST
Chair(s): Elizabeth Petraglia, Westat
1:35 PM Inference from Non-Random Samples Using Bayesian Machine Learning
Yutao Liu, Vertex Pharmaceuticals, Inc.; Andrew Gelman, Columbia University; Qixuan Chen, Columbia University
1:55 PM Individual and Community-Level Risks for COVID-19 Mortality in the US
Neha Agarwala, University of Maryland, Baltimore County; Prosenjit Kundu, Bloomberg School of Public Health, Johns Hopkins University; Jin Jin, Bloomberg School of Public Health, Johns Hopkins University; Nilanjan Chatterjee, Johns Hopkins University; Yuqi Zhang, Johns Hopkins University; Benjamin Harvey, Bloomberg School of Public Health, Johns Hopkins University; Eliza Wallace, 4PolicyMap, Inc.
2:15 PM A Two-Stage Cox Process Model with Spatial and Nonspatial Covariates
Claire Kelling, Penn State; Murali Haran, Pennsylvania State University
2:35 PM Varying Impacts of Letters of Recommendation on College Admissions: Approximate Balancing Weights for Subgroup Effects in Observational Studies
Eli Ben-Michael, Harvard University; Avi Feller, UC Berkeley; Jesse Rothstein, UC Berkeley
2:55 PM Refinement: Measuring Informativeness of Ratings in the Absence of a Gold Standard
Sheridan Lloyd Grant, University of Washington; Marina Meila, University of Washington; Elena Erosheva, University of Washington; Carole Lee, University of Washington
Discussant: Michael Messner, retired
3:15 PM Floor Discussion
 
 

285 		Wed, 8/11/2021, 1:30 PM - 3:20 PM Virtual
New Advances in Sample Design and Adjusting for Survey Nonresponse — Contributed Speed
Survey Research Methods Section
Chair(s): Phillip Kott, RTI International
1:35 PM Multi-Objective Sample Allocation in a US Veteran Health Survey
Michael D Larsen, St. Michael's College
1:40 PM Sample Design with Operational Constraints for Zero-Inflated Response Data
Chauncey M Dayton, BDS Data Analytics, LLC; Mary Batcher, BDS Data Analytics, LLC; NJ Scheers, BDS Data Analytics, LLC
1:45 PM WITHDRANW: Rejective Sampling, Rerandomization, and Regression Adjustment in Survey Experiments
Zihao Yang, University of Illinois at Urbana-Champaign; Tianyi Qu, University of Illinois at Urbana-Champaign; Xinran Li, University of Illinois
1:50 PM Designing and Implementing Multi-Wave Sampling Surveys in R Presentation
Jasper Yang, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania; Bryan Shepherd, Department of Biostatistics, Vanderbilt University School of Medicine; Thomas Lumley, University of Auckland; Pamela Shaw, Kaiser Permanente Washington Health Research Institute
1:55 PM Evaluation of Methods to Form Segments from Census Blocks in Area Sample Designs Presentation
Jennifer Kali, Westat; Tom Krenzke, Westat; Ying Chen, Westat; Jianru Angela Chen, WESTAT; Jim Green, Westat
2:00 PM Evaluation and Utility of Address-Level Predictive Models for Address-Based Sampling (ABS) Sample Designs
Joseph McMichael, RTI International; Stephanie Zimmer, RTI International
2:05 PM Creating Base Weights and Replicate Weights for a PPS Sample with a Supplemental Sample When the Eligibility Frame Information Is Available After Sampling
Ismael Flores Cervantes, Westat; Mike Kwanisai, Westat; Jianru Angela Chen, WESTAT
2:10 PM Part 2: Construction of Strata Boundaries in Tax Auditing
Zac Rhyne, Ryan, LLC.
2:15 PM A Bayesian Approach to Differential Recruitment with Respondent-Driven Sampling Data
Isabelle Beaudry, Pontificia Universidad Católica de Chile
2:20 PM The spsurvey R Package: New Options for Selecting and Analyzing Spatially Balanced Probability Samples
Michael Dumelle, Environmental Protection Agency ; Anthony R. Olsen, Environmental Protection Agency; Tom Kincaid, Environmental Protection Agency; Marc Weber, Environmental Protection Agency
2:30 PM Applying Cluster Analysis to Improve the American Housing Survey Hot Deck
Brian Shaffer, U.S. Census Bureau; Stephen Ash, Bureau of Labor Statistics; Kathy Zha, U.S. Census Bureau
2:35 PM Coverage and Nonresponse Bias in the 2016 American Community Survey Content Follow-Up Reinterview Presentation
Samantha Spiers, U.S. Census Bureau
2:40 PM Variational Bayesian Multiple Imputation for Clustered High-Dimensional Data
Qiushuang Li, University at Albany SUNY; Recai Yucel, Temple University
2:45 PM Imputation of Missing Values by Low Rank Matrix Approximation
MoonJung Cho, U.S. Bureau of Labor Statistics
2:50 PM Association of National Health and Nutrition Examination Survey (NHANES) Screener Health Questions Responses to Survey Participation Propensity
Te-Ching Chen, CDC/NCHS; Jay Clark, Westat; Chia-Yih Wang, CDC/NCHS; Steven Fink, CDC\NCHS; Allan Uribe, CDC/NCHS; Orlando Davy, CDC/NCHS
2:55 PM Basic Imputing Design Explored Now (BIDEN) in 2020 with TRUMP Cuts
Sarjinder Singh, Texas A&M University -Kingsville; Stephen A. Sedory, Texas A&M University-Kingsville
3:00 PM Methodological Development of Person-Day Level Nonresponse Adjusted Weights for the FoodAPS-1
Jeffrey Gonzalez, Economic Research Service
3:05 PM A Comparison of Two CHAID Packages for Modeling Survey Nonresponse
Tien-Huan Lin, Westat; Carlos Arieira, Westat; Ismael Flores Cervantes, Westat; Mike Kwanisai, Westat; Jennifer Kali, Westat
3:10 PM Modeling Survey Nonresponse Under a Cluster Sample Design: Classification and Regression Tree Methodologies Compared
Michael Jones, Westat; William Everett Cecere, Westat; Tien-Huan Lin, Westat; Jennifer Kali, Westat; Ismael Flores Cervantes, Westat
 
 

303 * 		Wed, 8/11/2021, 3:30 PM - 5:20 PM Virtual
Imputation Vis-a-Vis Research Standards in Clearinghouses — Invited Panel
Social Statistics Section, Government Statistics Section, Survey Research Methods Section
Organizer(s): David Ross Judkins, Abt Associates
Chair(s): David Ross Judkins, Abt Associates
3:35 PM Imputation Vis-a-Vis Research Standards in Clearinghouses
Panelists: Rebecca R Andridge, The Ohio State University College of Public Health
Elias Walsh, Mathematica
Joshua Polanin, American Institutes for Research
Paul T von Hippel, University of Texas, Austin
Joerg Drechsler, Institute for Employment Research (Germany)
Ryan Williams
5:15 PM Floor Discussion
 
 

310 * ! 		Wed, 8/11/2021, 3:30 PM - 5:20 PM Virtual
Making Finite Population Inferences from Nonprobability Samples — Topic-Contributed Papers
Survey Research Methods Section, Biometrics Section, Section on Statistics in Epidemiology
Organizer(s): Lingxiao Wang, National Cancer Institute, DCEG, Biostatistics Branch
Chair(s): Hormuzd Katki, National Cancer Institute
3:35 PM Variable Selection Strategies for Effective Quota Sampling and Propensity Weighting: An Application to SARS-Cov-2 Infection Prevalence Estimation
Yan Li, University of Maryland, College Park; Barry Graubard, National Cancer Institute, DCEG, Biostatistics Branch; Michael Fay, Biostatistics Research Branch, Division of Clinical Research, NIAID; Sally Hunsberger, NIAID
3:55 PM Measures of Selection Bias in Regression Coefficients Estimated from Nonprobability Samples
Brady T. West, University of Michigan; Roderick Joseph Little, University of Michigan; Rebecca R Andridge, The Ohio State University College of Public Health; Philip Boonstra, University of Michigan; Erin Ware, Institute for Social Research, University of Michigan-Ann Arbor; Anita Pandit, University of Michigan; Fernanda Alvarado-Leiton, Institute for Social Research, University of Michigan-Ann Arbor
4:15 PM Robust Bayesian Inference for Non-Probability Samples Using Gaussian Process of Propensity Prediction
Ali Rafei, University of Michigan; Michael R. Elliott, University of Michigan; Carol Flannagan, University of Michigan
4:35 PM Efficient and Robust Propensity-Score-Based Methods for Finite Population Inference with Nonprobability Epidemiologic Cohorts
Lingxiao Wang, National Cancer Institute, DCEG, Biostatistics Branch; Yan Li, University of Maryland, College Park; Barry Graubard, National Cancer Institute, DCEG, Biostatistics Branch; Hormuzd Katki, National Cancer Institute
4:55 PM Discussant: Barry Graubard, National Cancer Institute, DCEG, Biostatistics Branch
5:15 PM Floor Discussion
 
 

220754 		Wed, 8/11/2021, 5:00 PM - 6:30 PM
Survey Research Methods Section Business Meeting and Mixer — Other Cmte/Business
Survey Research Methods Section
Chair(s): Tony An, SAS Institute, Inc.
 
 

326 * ! 		Thu, 8/12/2021, 10:00 AM - 11:50 AM Virtual
Recent Developments in Probabilistic Record Linkage, Multiple Systems Estimation, and Entity Resolution — Invited Papers
Survey Research Methods Section, Social Statistics Section, Government Statistics Section
Organizer(s): Ansu Chatterjee, University of Minnesota
Chair(s): Yang Cheng, USDA National Agricultural Statistics Service
10:05 AM High-Dimensional, Robust, Unsupervised Record Linkage
Ansu Chatterjee, University of Minnesota; Sabyasachi Bera, University of Minnesota
10:30 AM Multiple Systems Estimation for the Quantification of Modern Slavery: A Comparative Study Regarding the Accuracy of Current Methods
Olivier Binette, Duke University ; Rebecca C. Steorts, Duke University
10:55 AM Bayesian one-inflated models for population size estimation
Tiziana Tuoto, Italian National Institute for Statistics; Davide Di Cecco, Sapienza University of Rome; Andrea Tancredi, Sapienza University of Rome
11:20 AM A Theoretical Framework for Probabilistic Record Linkage in Multiple-Frame Surveys
Takumi Saegusa, University of Maryland, College Park; Partha Lahiri, University of Maryland, College Park
11:45 AM Floor Discussion
 
 

352 		Thu, 8/12/2021, 10:00 AM - 11:50 AM Virtual
Small Area Estimation, Analysis of Complex Sample Survey Data, and New Advances for Health Surveys — Contributed Speed
Survey Research Methods Section
Chair(s): Lu Chen, National Institute of Statistical Sciences/USDA, NASS
10:05 AM WITHDRAWN Changes at the Margins: Evaluating MRP Performance for Data Sets with Clustered Sparsity
Robert Petrin, Ipsos Public Affairs; Kevin Fenton, Ipsos Public Affairs; Meng Li, Ipsos Public Affairs
10:10 AM Utilizing Occupational Employment Statistics (OES) Survey to Improve Small Domain Estimation (SDE) in the Occupational Requirements Survey (ORS)
Xingyou Zhang, Bureau Of Labor Statistics; Erin McNulty, Bureau of Labor Statistics; Ellen Galantucci, Bureau of Labor Statistics; Patrick Kim, Bureau of Labor Statistics; Joan Coleman, Bureau of Labor Statistics; Tom Kelly, Bureau of Labor Statistics
10:15 AM A Bayesian Model for Inference on Multiple Panel Public Opinion Surveys
Brittany Alexander, Texas A&M University
10:20 AM Calculating Confidence Limits and the Application of Reliability Standards for Proportions Estimated from Complex Survey Data
Crescent B Martin, National Center for Health Statistics; Margaret D Carroll, National Center for Health Statistics
10:25 AM Unadjusted and Adjusted Receiver Operating Characteristic Curve and Precision Recall Curve Analyses for Complex Survey Data
Alok Kumar Dwivedi, Texas Tech University Health Sciences Center El Paso
10:30 AM Joinpoint Regression Methods of Aggregated Outcomes for Complex Survey Data
Benmei Liu, National Cancer Institute; Hyune-Ju Kim, Syracuse University ; Eric J. Feuer, National Cancer Institute; Barry Graubard, National Cancer Institute, DCEG, Biostatistics Branch
10:35 AM Constructing UpSet Plot for Survey Data with Weights Using SAS Survey Package and R UpSetR Package
Julia Soulakova, College of Medicine at Universtity of Central Florida; Camilo Gomez, Graduate Student, UCF; Alexander Goponenko, Graduate Student, UCF
10:40 AM Linear Quantile Mixed Models Under Informative Cluster Sampling
Sixia Chen, University of Oklahoma Health Sciences Center; Daniel E Zhao, OUHSC Hudson College of Public Health; Chao Xu, University of Oklahoma Health Sciences Center
10:45 AM A New Approach to Composite Estimation for Repeated Surveys with Rotating Panels
Takis Merkouris, Athens University of Economics and Business
10:50 AM An Overview of the 2019 Research and Development Survey (RANDS)
Li-Yen Rebecca Hu, NCHS; Yulei He, US Centers for Disease Control and Prevention; Paul Scanlon, National Center for Health Statistics, CDC; Kristen Miller, NCHS; Katherine Irimata, NCHS; Guangyu Zhang, CDC; Kristen Cibelli Hibben, NCHS
11:00 AM Assessing differences of mean estimates from longitudinal surveys, with an application to Research and Development Survey
Rong Wei, National Center for Health Statistics, CDC; Yulei He, US Centers for Disease Control and Prevention; Van Parsons, CDC; Paul Scanlon, National Center for Health Statistics, CDC
11:05 AM Calibration of RANDS During COVID-19: A Web-Based Panel Survey
Katherine Irimata, NCHS; Yulei He, US Centers for Disease Control and Prevention; Van Parsons, CDC; Hee-Choon Shin, National Center for Health Statistics; Guangyu Zhang, CDC
11:10 AM COVID-19 Vaccine Effects on Seroprevalence
Richard Lee Harding, ICF; Ronaldo Iachan, ICF; Adam Lee, ICF; Yangyang Deng, ICF; Tonja Kyle, ICF; Myrna Charles, CDC; Ryan Wiegand, CDC
11:15 AM Statistical Improvements in Weekly-Updated Cumulative Estimates of Flu Vaccination Coverage for Children in the United States
Kennon Copeland, NORC at the University of Chicago; Nada Ganesh, NORC at the University of Chicago; Lin Liu, NORC at the University of Chicago; Tammy Santibanez, CDC; James Singleton, CDC
11:20 AM Modeling and Computation of Multi-Step Batch Testing for Infectious Diseases
Haoran Jiang, Stony Brook University; Hongshik Ahn, Stony Brook University; Xiaolin Li, Stony Brook University
11:25 AM Machine Learning Methods: A Case Study Using Online Web-Based Panel Surveys Presentation
Yulei He, US Centers for Disease Control and Prevention; Guangyu Zhang, CDC; Van Parsons, CDC
11:30 AM Response Rates in the Consumer Assessment of Health Care Providers and Systems Outpatient and Ambulatory Surgery Survey (OAS-CAHPS) Mode Experiment
Kathryn Spagnola, RTI; Elizabeth Goldstein, CMS; Memuna Ifedirah, CMS; Christine Payne, CMS; Patrick Chen, RTI; Shampa Saha, RTI; Marjorie Hinsdale-Shouse, RTI
11:35 AM A General Stopping Rule for Survey Data Collection
Xinyu Zhang, University of Michigan - Ann Anbor; James Wagner, University of Michigan; Michael R. Elliott, University of Michigan; Brady T. West, University of Michigan; Stephanie Coffey, U.S. Census Bureau
 
 

399 * ! 		Thu, 8/12/2021, 2:00 PM - 3:50 PM Virtual
Collecting, Protecting, and Sharing COVID-19 Data and the Stories They Tell — Invited Papers
Government Statistics Section, Survey Research Methods Section, Committee on Privacy and Confidentiality
Organizer(s): Lars Vilhuber, Cornell University
Chair(s): Lars Vilhuber, Cornell University
2:05 PM Using Anonymized Data to Help Public Health Officials Combat COVID-19
Damien Desfontaines, Google
2:20 PM Protecting Privacy in Facebook Mobility Data During the COVID-19 Response
Amaç Herda?delen, Facebook; P. Alex Dow, Facebook; Payman Mohassel, Facebook; Alex Pompe, Facebook; Bogdan State, Victoria University of Wellington
2:35 PM Privacy by Design When Launching a Global COVID Symptom Survey
Frauke Kreuter, University of Maryland and University of Mannheim; Sarah LaRocca, Facebook Research; Katherine Morris, Facebook Research; Adrianne Bradford, University of Maryland; Samantha Lee-Ming Chiu, University of Maryland
2:50 PM Privacy Attitudes in Times of Crisis: Acceptance of Data Sharing for Public Health?
Frederic Gerdon, University of Mannheim; Helen Nissenbaum, Cornell Tech; Ruben Bach, University of Mannheim; Frauke Kreuter, University of Maryland and University of Mannheim; Stefan Zins, Institute for Employment Research (IAB) Nuremberg
3:05 PM Privacy and Confidentiality Views Toward Surveys Collected in the Era of COVID-19
Jennifer Hunter Childs, US Census Bureau; Aleia Clark Fobia, US Census Bureau; Casey Eggleston, US Census Bureau; Yazmin Garcia Trejo, US Census Bureau; Shaun S. Genter, U.S. Census Bureau
3:20 PM Discussant: Alan F Karr, AFK Analytics
3:35 PM Discussant: Aleksandra Slavkovic, Penn State University
 
 

403 * ! 		Thu, 8/12/2021, 2:00 PM - 3:50 PM Virtual
Recent Advances in Small Area Estimation — Topic-Contributed Papers
Survey Research Methods Section
Organizer(s): Mahmoud Torabi, University of Manitoba
Chair(s): Mahmoud Torabi, University of Manitoba
2:05 PM Bayesian Hierarchical Spatial Models for Small Area Estimation
Gauri Sankar Datta, US Census Bureau/University of Georgia; Hee Cheol Chung, Texas A&M University
2:25 PM A Bayesian Approach for Integrating a Small Probability Sample with a Non-Probability Sample
Nandram Balgobin, Worcester Polytechnic Insttute
2:45 PM Transformation-Based Variable Selection for Three-Fold Sub-Sub-Area-Level Models in Small Area Estimation
Song Cai, Carleton University; J.N.K. Rao, Carleton University
3:05 PM Construction of a Database for Small Area Estimation
Emily Berg, Iowa State University
3:25 PM Model-Based Estimates for Farm Labor Quantities
Lu Chen, National Institute of Statistical Sciences/USDA, NASS; Nathan B. Cruze, NASS, USDA; Linda J Young, USDA National Agricultural Statistics Service
3:45 PM Floor Discussion
 
 

420 		Thu, 8/12/2021, 4:00 PM - 5:50 PM Virtual
Modern Modeling Approaches for Imputation Using Survey Data — Invited Papers
Survey Research Methods Section
Organizer(s): Morgan Earp, National Center for Health Statistics
Chair(s): Morgan Earp, National Center for Health Statistics
4:05 PM Imputation Procedures in Surveys Using Nonparametric and Machine Learning Methods: An Empirical Comparison
David Haziza, University of Ottawa; Mehdi Dagdoug, Université de Bourgogne Franche Comté; Camelia Goga, Université de Bourgogne Franche Comté
4:30 PM Computationally Efficient Bayesian Unit-Level Models for Non-Gaussian Data Under Informative Sampling
Scott Holan, University of Missouri; Paul Parker, University of Missouri; Ryan Janicki, US Census Bureau
4:55 PM Comparing the Performance of Alternative Imputation Methods for the Advance Monthly Retail Trade Survey
Katherine Jenny Thompson, U.S. Census Bureau; Stephen Kaputa, U.S. Census Bureau; Nicole Czaplicki, U.S. Census Bureau; Brian Dumbacher, U.S. Census Bureau
5:20 PM Design Consistent Random Forest Models for Survey Data
daniell toth, US Bureau of Labor Statistics; Kelly McConville, Reed College
5:45 PM Floor Discussion
 
 
 
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