Proceedings of the Joint Statistical Meetings 2021 Survey Research Methods Section
Virtual Conference, August 8 - August 12, 2021

Session 9: COVID-19 and Survey Sampling: Challenges and Opportunities — Invited Papers
Organizer(s): Ananda Sen, University of Michigan ; Yajuan Shi, University of Michigan
Chair(s): Ananda Sen, University of Michigan

Measures of Departure from Probability Sampling — Roderick Joseph Little, University of Michigan
Keywords: Probability Sampling; Selection Bias; Pattern-Mixture Models

Bayesian Analysis of Tests with Unknown Specificity and Sensitivity — Andrew Gelman, Columbia University; Bob Carpenter, Flatiron Institute
Keywords: Bayesian inference; multilevel regression and poststratification (MRP); specificity; sensitivity; coronavirus

A Design for Hospital-Based Coronavirus Tracking — Yajuan Si, University of Michigan; Len Covello, Community Hospital; Andrew Gelman, Columbia University; Siquan Wang, Columbia University
Keywords: Coronavirus; selection bias; multilevel regression and poststratification

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
Keywords: covid-19; survey methods; health; survey weighting; survey sampling; surveys

Session 14: Remembering Lars Lyberg and His Widespread Impacts on the Survey Research Community — Invited Papers
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

An International Man of Action — Paul Biemer, RTI International
Keywords:

Lars Lyberg in the Context of the Evolution of Survey Methodology — Bob Groves, Georgetown University
Keywords:

Lars, the Journal of Official Statistics, and Statistics Sweden — Ingegerd Jansson, Statistics Sweden
Keywords:

Lars Lyberg: Mentor and Editor — Edith de Leeuw, Utrecht University
Keywords:

A Fond Memory of Lars — Phillip Kott, RTI International
Keywords:

Lars Lyberg: A Leader in Survey Research — Dan Kaspryzyk, NORC
Keywords:

Lars Lyberg's Contributions — Frauke Kreuter, University of Maryland and University of Mannheim
Keywords:

Session 50: Advances in Spatial Statistics for Survey Methodology and Official Statistics — Topic-Contributed Papers
Organizer(s): Scott Holan, University of Missouri
Chair(s): Scott Holan, University of Missouri

Bayesian Dasymetric Modeling — Matthew Simpson, SAS Institute; Scott Holan, University of Missouri; Christopher Wikle, University of Missouri
Keywords: Bayesian statistics; Survey statistics; Dasymetric modeling; Downscaling

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
Keywords: American Community Survey; Bayesian hierarchical model; Generalized Transformation Model; Markov chain Monte Carlo; Measurement error; non-Gaussian data

An Accurate Corset Methodology for Efficient Reduction of Spatial Data — Ranadeep Daw, University of Missouri; Christopher Wikle, University of Missouri
Keywords: Coreset; Accurate Coreset; Predictive Process; Gaussian Process; Data Reduction; Spatial Thinning

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
Keywords:

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
Keywords: Functional principal components; Horseshoe prior; National Health and Nutri- tion Examination Survey (NHANES); Po ´lya-Gamma; Pseudo-likelihood

Session 54: Record Linkage, Data Integration, and Improving Survey Measurement — Contributed Speed
Chair(s): Samantha Spiers, U.S. Census Bureau

Inspecting Regression Trees of Subjective Burden Perception with Objective Burden Measures in a Household Survey (View Presentation) — Daniel Yang, Bureau of Labor Statistics
Keywords: Respondent burden; Survey design; Nonparametric; Regression Tree model

A Unified Bayesian Framework for Statistical Matching — Gauri Kamat, Brown University; Roee Gutman, Brown University
Keywords: matching; likelihood; Bayesian; checkerboard Metropolis; record linkage ; missing data

Administrative Record Use in the 2020 Census for Modeling and Processing — Andrew D. Keller, US Census Bureau
Keywords: administrative data

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
Keywords: RSE; Cell suppression; Publishing guidelines; MEPS

Nonparametric Model-Assisted Estimation from Quantitative Randomized Response Models — Sayed Mostafa, North Carolina A&T State University
Keywords: randomized response model; complex surveys; model-assisted estimation; local linear regression; Horvitz-Thompson estimation

Bayesian Inference for Nonprobability Samples — Lyric Liu, Worcester Polytechnic Institute ; Nandram Balgobin, Worcester Polytechnic Insttute
Keywords: Non-probability Samples; Regression ; Bayesian Statistics ; Data Integration ; Grid Method

A Model-Assisted Approach for Distinguishing Two Nonresponses in Achievement Test or Survey Data — Yu-Wei Chang, National Chengchi University
Keywords: Item Response Theory tree model; non-response; Laplace-approximated maximum likelihood estimation

Web Survey Response Times: What to Do and What Not to Do — Ioannis Andreadis, Aristotle University of Thessaloniki
Keywords: web surveys; response times; data quality

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
Keywords: machine learning; mass imputation; survey methodology; non-probability sample

Assessing the Quality of Blended Statistics in a Federal Health Survey (View 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
Keywords: administrative data; survey data; blended statistics; data quality; record linkage; item nonresponse

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
Keywords: Personality Subscales/Assessment; Midpoint/Extreme Response Styles; Multi-process (IRT tree) Model; Mixture Item Response Model; Multi-dimensional Item Response model; K-means clustering

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
Keywords: Calibration; Data integration; Mass imputation; Non-probability samples

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
Keywords: Randomized response techniques; Non-randomized response techniques; Social desirability bias; Monte-Carlo simulation; Intimate partner violence

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
Keywords: neuroscience; randomized response; survey sampling; sensitive data

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
Keywords: log-linear models; disclosure risk; risk assessment

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
Keywords: machine learning ; statistical learning; intercoder disagreement; coding error

Boat-Based Fishing Surveys in the US Pacific Island Territories: Survey Design, Catch and Effort Estimation, and Sensitivity Analyses (View 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
Keywords: Boat-based fishing survey; Catch estimate; Fishing effort estimate; Survey design; Expansion algorithm; Sensitivity analysis

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
Keywords: 2020 U.S. Census; Nonresponse Followup

OptimalFisheryDesign: An R Package for Fishery Sampling Designs — Zhaoce Liu, Mathematica Inc.; Lynne Stokes, Southern Methodist University
Keywords: Non-probability sample; Data Integration; Recreational Fishing; Optimal Survey Design

Measurement and Selection Errors in Recall and Diary Responses — Gradon Nicholls, Bank of Canada; Heng Chen, Bank of Canada
Keywords: total survey error; non-response; measurement error

Session 67: Privacy in the Context of Digital Trace and Sensor Data — Invited Papers
Organizer(s): Bella Struminskaya, Utrecht University
Chair(s): Bella Struminskaya, Utrecht University

Another Invisible Threat: Unequal Privacy Cost of Tracing COVID-19 — Claire McKay Bowen, Urban Institute; Joshua Snoke, RAND Corp.
Keywords: data privacy; COVID-19; structural racism

Contextual Integrity as a Framework for Assessing Privacy Violations from Digital Trace Data — Jessica Vitak, University of Maryland
Keywords: privacy; contextual integrity; privacy paradox; trace data; factorial vignettes

Learning from the People: Responsibly Encouraging Adoption of Contact Tracing Apps — Elissa M. Redmiles, Max Planck Institute for Software Systems
Keywords:

Data Collection Using Smartphones: Concerns About Data Sharing and Framing Effects — Florian Keusch, University of Mannheim
Keywords: smartphones; sensors; log files; privacy

Session 103: Survey Research Methods Section P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion

Inference from Blended Probability and Nonprobability Samples — Marcus Berzofsky, Research Triangle Institute
Keywords: Blended data; Nonprobability Samples; Variance Estimation

The Role of Statistics in Open Science and Publicly Accessible Research Data — Sarah Nusser, Iowa State University
Keywords: FAIR principles; data reuse; data sharing; privacy; restricted data; open science

Session 126: Interpreting Nonprobability Samples: Discoveries and Challenges — Topic-Contributed Papers
Organizer(s): Michael Yang, NORC at the University of Chicago
Chair(s): Katherine Jenny Thompson, U.S. Census Bureau

Combining Data from Probability and Non-Probability Samples Using Penalized Spline of Propensity Prediction (View Presentation) — Michael R. Elliott, University of Michigan; Ali Rafei, University of Michigan; Carol Flannagan, University of Michigan
Keywords: Double robustness; Non-parametric Bayesian modeling; Augmented inverse propensity weighting

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
Keywords: nonprobability sample estimation; statistical matching; propensity weighting; small area estimation; doubly robust

Creating Statistically-Defensible Calibrated Weights for a Blended Sample and Measuring the Accuracy of the Resulting Estimates (View Presentation) — Phillip Kott, RTI International; Jamie Ridenhour, RTI International
Keywords: Selection model; Output model; calibration equation; double protection; logit function; WTADJX

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
Keywords: nonprobability sample; Monte Carlo simulation; Arts and culture

Session 147: Producing Official Statistics During a Pandemic: Advances Under Adversity — Invited Papers
Organizer(s): Linda J Young, USDA National Agricultural Statistics Service
Chair(s): Yang Cheng, USDA National Agricultural Statistics Service

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
Keywords: COVID-19; BLS; estimation; imputation; data collection; business

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
Keywords: Household Pulse Survey; COVID; Census; Rapid response; Online; Self response

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
Keywords: COVID-19; NCHS; NHIS; NHANES; RANDS

Session 154: Some New Innovations in Survey Sampling and Missing Data Problems — Topic-Contributed Papers
Organizer(s): Sixia Chen, University of Oklahoma Health Sciences Center
Chair(s): David Haziza, University of Ottawa

General-Purpose Multiply Robust Estimation Procedure for Handling Missing Data — Sixia Chen, University of Oklahoma Health Sciences Center; David Haziza, University of Ottawa
Keywords: Estimating equation; Imputation; Nonresponse adjustment; Variance estimation

Random Forests Imputation in Surveys — Mehdi Dagdoug, Université de Bourgogne Franche Comté; Camelia Goga, Université de Bourgogne Franche Comté; David Haziza, University of Ottawa
Keywords: survey; missing data; random forest; imputation

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
Keywords: Item Nonresponse; Multiply Robustness Property; Variance Estimation ; Complex Survey

Session 180: Survey Research Methods Section P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion

Use of Administrative Data for Surveys — Michael D Larsen, St. Michael's College
Keywords: Administrative Records; Survey Methodology; Sample Design; Record Linkage

The Conditions of America’s Learners During COVID-19: What Do Federal Statistics Tell Us? — Marilyn Seastrom, National Center for Education Statistics
Keywords: COVID-19; Household Pulse Survey; Education Statistics

Session 185: The Missing Puzzle Piece: Estimating Survey Data Collection Costs — Invited Papers
Organizer(s): Stephanie Coffey, U.S. Census Bureau
Chair(s): Stephanie Coffey, U.S. Census Bureau

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
Keywords: Responsive survey design; Nonresponse error; Survey costs

Is the Price Right? Predicting Future Survey Costs Using Previous Cycles (View Presentation) — Kayla Marie Varela, US Census Bureau
Keywords: Cost Modeling; Survey Costs

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
Keywords: survey costs; mixed mode surveys; self-administered surveys

Session 230: Biased Data, Biased Models? Bridging Advances in Survey Research and Computer Science for Improving Fairness in Algorithmic Decision-Making — Invited Panel
Organizer(s): Ruben Bach, University of Mannheim; Christoph Kern, University of Mannheim
Chair(s): Frauke Kreuter, University of Maryland and University of Mannheim

Biased Data, Biased Models? Bridging Advances in Survey Research and Computer Science for Improving Fairness in Algorithmic Decision-Making —
Keywords: Algorithmic decision-making; Fair ML; Data Bias

Session 239: The 2020 FCSM Data Quality Framework: Future Directions — Topic-Contributed Papers
Organizer(s): Jennifer D Parker, NCHS
Chair(s): Linda J Young, USDA National Agricultural Statistics Service

Visual and Interactive Tools for Assessing Data Quality (View Presentation) — Zachary H. Seeskin, NORC at the University of Chicago; Kiegan Rice, NORC at the University of Chicago
Keywords: Exploratory data analysis; Integrating data from multiple sources; Administrative data; Interactive data visualization; R

Transportation Data for Decision-Making During the COVID-19 Pandemic (View Presentation) — Rolf Schmitt, Bureau of Transportation Statistics
Keywords: trasnportation; covid

Expanding Data Linkage Opportunities and Measuring Quality — Lisa B. Mirel, CDC/NCHS/DAE; Dean Resnick, NORC; Christine Cox, NORC; Jonathan Aram, CDC/NCHS/DAE
Keywords: National Center for Health Statstics; Data Linkage Program; privacy preserving record linkage

'Ask US' About Coverage Error: An Investigation from a New Inter-Agency Online Panel — Emilia Peytcheva, RTI International; Jennifer Hunter Childs, US Census Bureau
Keywords: online panel; pilot; coverage error

Session 258: Survey Research Methods Section P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion

Evaluation and Performance of Privacy Preserving Record Linkage (PPRL) — Dean Resnick, NORC
Keywords: Administrative Records; Record Linkage; Privacy-Preserving Record Linkage

Machine Learning with Complex Survey Data — Jerzy Wieczorek, Colby College
Keywords: Complex Sample Design; Machine Learning; Survey Methodology; Cross-Validation

Session 277: ASA Student Paper Competition Winners — Topic-Contributed Papers
Organizer(s): Stephen Campbell, NIST
Chair(s): Elizabeth Petraglia, Westat

Inference from Non-Random Samples Using Bayesian Machine Learning — Yutao Liu, Vertex Pharmaceuticals, Inc.; Andrew Gelman, Columbia University; Qixuan Chen, Columbia University
Keywords: Bayesian machine learning; High-dimensional auxiliary variables; Non-random samples; Probability and non-probability surveys; Propensity score; Soft Bayesian additive regression trees

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.
Keywords:

A Two-Stage Cox Process Model with Spatial and Nonspatial Covariates — Claire Kelling, Penn State; Murali Haran, Pennsylvania State University
Keywords: spatial statistics; point process; policing; crime

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
Keywords: Causal Inference; Observational Studies

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
Keywords: Ratings; Entropy; Peer Review; Decision-Making

Session 285: New Advances in Sample Design and Adjusting for Survey Nonresponse — Contributed Speed
Chair(s): Phillip Kott, RTI International

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
Keywords: imputation; cluster analysis

Coverage and Nonresponse Bias in the 2016 American Community Survey Content Follow-Up Reinterview (View Presentation) — Samantha Spiers, U.S. Census Bureau
Keywords: Nonresponse Bias; Coverage Error; Reinterview

Variational Bayesian Multiple Imputation for Clustered High-Dimensional Data — Qiushuang Li, University at Albany SUNY; Recai Yucel, Temple University
Keywords: Clustered data; variational inference; multiple imputation; sequential hierarchical regression imputation; calibration-based imputation; spike-and-slab variable selection

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
Keywords: Survey weighting adjustments; Weighting class; Nonresponse; CHAID; SAS; HPSPLIT

Imputation of Missing Values by Low Rank Matrix Approximation — MoonJung Cho, U.S. Bureau of Labor Statistics
Keywords: Auxiliary variables; Correlation; Rank estimation; Singular value decomposition

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
Keywords: classification trees; clustering; nonresponse bias; response propensities; survey weights; weighting class adjustments

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
Keywords: Design-Based; Estimation; GRTS; Geometry; Selection Probability; Stratification

Multi-Objective Sample Allocation in a US Veteran Health Survey — Michael D Larsen, St. Michael's College
Keywords: Oversampling; Poststratification; Response rates; Sample Design; Stratification; Two-phase sampling

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
Keywords: systematic PPS sample design; eligibility; weighting; supplemental sample for PPS designs; simulation

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
Keywords: Sample design; Zero-inflated data

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
Keywords: NHANES; response propensity; survey screening

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
Keywords: causal inference; potential outcome; randomization-based inference; covariate balance; Mahalanobis distance; randomization test

Designing and Implementing Multi-Wave Sampling Surveys in R (View 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
Keywords: multi-wave sampling; Neyman allocation; optimal design; R

Evaluation of Methods to Form Segments from Census Blocks in Area Sample Designs (View Presentation) — Jennifer Kali, Westat; Tom Krenzke, Westat; Ying Chen, Westat; Jianru Angela Chen, WESTAT; Jim Green, Westat
Keywords: area sampling; multi-stage sampling; segments; in-person surveys

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
Keywords: Imputation; Jackknifing; Auxiliary information; Ratio type estimators; TRUMP Cuts; Non response

Methodological Development of Person-Day Level Nonresponse Adjusted Weights for the FoodAPS-1 — Jeffrey Gonzalez, Economic Research Service
Keywords:

Evaluation and Utility of Address-Level Predictive Models for Address-Based Sampling (ABS) Sample Designs — Joseph McMichael, RTI International; Stephanie Zimmer, RTI International
Keywords: ABS; stratification; sample design; auxiliary data

Part 2: Construction of Strata Boundaries in Tax Auditing — Zac Rhyne, Ryan, LLC.
Keywords: Sampling; Audit; Estimation; Tax Sampling

A Bayesian Approach to Differential Recruitment with Respondent-Driven Sampling Data — Isabelle Beaudry, Pontificia Universidad Católica de Chile
Keywords: Respondent-Driven sampling; Survey Sampling methodology; Hard-to-reach populations; Model-Based inference; Non-response bias; Network inference

Session 303: Imputation Vis-a-Vis Research Standards in Clearinghouses — Invited Panel
Organizer(s): David Ross Judkins, Abt Associates
Chair(s): David Ross Judkins, Abt Associates

Imputation Vis-a-Vis Research Standards in Clearinghouses —
Keywords: WWC; Randomized trials; Evaluation research; Sensitivity analysis

Session 306: SPEED: SPAAC SESSION II — Topic-Contributed Speed

Chair(s): Joseph Cappelleri, Pfizer Inc

Extending the Mann-Whitney-Wilcoxon Rank Sum Test to Survey Data for Comparing Mean Ranks — Tuo Lin, University of California, San Diego
Keywords: inverse probability weighting; median; NHANES; rank; sampling weights; U-statistics

Utilizing Stability Criteria in Choosing Feature Selection Methods Yields Reproducible Results in Microbiome Data — Lingjing Jiang, Johnson & Johnson
Keywords: classification; prediction; reproducible; feature selection; microbiome; stability

Short-Term Transition Impact on Change Point Detection and Monitoring Existing State — Turkan Kumbaraci Gardenier, Teka Trends, Inc.
Keywords: Moniotoring; Change point identificationnt; Cumulative Transitional State Score (CTSS)TSS; Trnasitional Score (TS) ; Cumulative Sums (CUSUM); Control charts

A Sparse Negative Binomial Mixture Model for Clustering RNA-Seq Count Data — YUJIA LI, Department of Biostatistics, University of Pittsburgh; Tanbin Rahman, Department of Biostatistics, MD Anderson Cancer Center; Tianzhou Ma, Department of Epidemiology and Biostatistics, University of Maryland; Lu Tang, University of Pittsburgh; George Tseng, Department of Biostatistics, University of Pittsburgh
Keywords: cluster analysis; Gaussian mixture model; sparse K-means; feature selection

Prediction of Dispositional Dialectical Thinking from Resting-State Electroencephalography — Kun Huang, Tsinghua University; Dian Chen, Tsinghua University; Fei Wang, Tsinghua University; Lijian Yang, Tsinghua University
Keywords: FDA; resting-EEG; machine learning; alpha wave; dialectical thinking

Evaluation of the Impact of Correlation Between Competing/Semi-Competing Event and Event of Interest in Trials with Heterogeneity Population — Ran Liao, Eli Lilly; Junjing Lin, Takeda Pharmaceuticals; Margaret Gamalo-Siebers, Pfizer Inc.
Keywords: competing risk; semi-competing risk; correlation ; heterogeneity population ; Subgroup

Data Analysis for International Investments into Territories: Assessment of International Entrepreneurs' Decision-Making as the Generalized Erlang(N)Risk Stand as a Brownian Particle — VALERY MFONDOUM, Toulouse 1 Capitol University / CNAM of Pays de la Loire
Keywords: Decision-making; International entrepreneurs; Territories; Brownian particle; information’s atom; Erlang(n) risk

A General Adaptive Framework for Testing a Multivariate Point Null Hypothesis — Adam Elder, University of Washington; Alex Luedtke, University of Washington; Marco Carone, University of Washington
Keywords: Hypothesis testing; nonparametric; multivariate point null; asymptotic linearity

Nonconstant Error Variance in Generalized Propensity Score Model — Doyoung Kim, Sungkyunkwan University; Chanmin Kim, Sungkyunkwan University
Keywords: Causal Inference; Continuous Treatment; Covariate Balance; Heteroskedasticity; Observational Study

Testing Microbiome Association Using Integrated Quantile Regression Models — Tianying Wang, Center for Statistical Science, Tsinghua University; Wodan Ling, Fred Hutchinson Cancer Research Center; Michael C Wu, Fred Hutchinson Cancer Research Center; Anna Plantinga, Williams College; Xiang Zhan , Penn State University
Keywords: quantile regression; microbiome association; kernel machine; integrated quantile

Pathfinder: A parallel quasi-Newton algorithm for reaching regions of high probability mass — Lu Zhang, Columbia University; Bob Carpenter, Flatiron Institute; Aki Vehtari, Aalto University; Andrew Gelman, Columbia University
Keywords: Quasi-Newton Optimization; Laplace Approximation; Variational Inference; Markov chain Monte Carlo; Importance Resampling; Wasserstein Distance

ASCEND for Veteran Suicide Prevention: Evaluating Sample Design and Response Characteristics of a National Veteran Survey Surveillance System — Evan Herring-Nathan, NORC at the University of Chicago; Christopher Johnson, NORC; Claire Hoffmire, Department of Veterans Affairs; Lindsey Monteith, Department of Veterans Affairs; Alexandra Schneider, Department of Veterans Affairs
Keywords: Sample Design; Administrative Data; Complex Surveys; Stratified Sample

Network-Based Differential Co-Expression Analysis Using Breast Cancer Data Set — Yonghui Ni, University of Kansas-Medical Center,Department of Biostatistics & Data Science; Prabhakar Chalise, University of Kansas Medical Center; Jianghua He, University of Kansas Medical Center
Keywords: differential co-expression; differential network

A Reinforcement Learning Algorithm for Online Personalized Tutor Recommendation — Mohamad Kazem Shirani Faradonbeh, University of Georgia
Keywords: reinforcement learning; computerized education; intelligent tutoring; data-driven recommendation; statistical machine learning; decision-making algorithms

Data Fusion of Distance Sampling and Spatial Capture-Recapture Data — Narmadha Meenabhashini Mohankumar, Kansas State University; Trevor Hefley, Kansas State University, Department of Statistics; Katy Silber, Kansas State University; W. Alice Boyle, Kansas State University
Keywords: Data fusion; Integrated population models; Ecological statistics; Spatial statistics; Distance sampling; Spatial capture-recapture

Storytelling with Receiver Operating Characteristic (ROC) Curves for Environmental Remediation of Unexploded Ordnance (UXO) — Shelley Cazares, Institute for Defense Analyses; Jacob Bartel, Institute for Defense Analyses
Keywords: Environmental Remediation; Unexploded Ordnance (UXO); Receiver Operating Characteristic Curve (ROC Curve); Probability of Detection; Probability of False Alarm; False Alarm Rate

A Comparative Study of Time Series Forecasting Using Deep Learning Methods — Simachew Endale Ashebir, North Carolina A&T State University; Seong-Tae Kim, North Carolina A&T State University
Keywords: Time Series; Forecasting; ARIMA- GARCH; Deep learning ; Artificial neural network

Robust Online Linear Discriminant Analysis for Data with Outliers — Soshi Kawarai, Doshisha University; Ippei Takasawa, Doshisha University; Hiroshi Yadohisa, Doshisha University
Keywords: Online learning; Linear discriminant analysis; Averaged stochastic gradient descent; Median covariance matrix; Incremental learning

Gene Clustering Method for Multi-Omics Data: A Canonical Correlation and Weighted Correlation Network Analysis Approach — Ulrich Kemmo Tsafack, Medical College of Wisconsin; Kwang Woo Ahn, Medical College of Wisconsin; Chien-Wei Lin, Medical College of Wisconsin
Keywords: Canonical correlation; Gene Clustering; Multi-omics data; Multi-view clustering; Weighted correlation network analysis

Online Registration and Inference for Functional Data — Yoonji Kim, The Ohio State University; Oksana Chkrebtii, The Ohio State University; Sebastian Kurtek, The Ohio State University
Keywords: Bayesian Registration; Functional Data; Online Inference; Sequential Monte Carlo; Square-Root Velocity Function

Session 310: Making Finite Population Inferences from Nonprobability Samples — Topic-Contributed Papers
Organizer(s): Lingxiao Wang, National Cancer Institute, DCEG, Biostatistics Branch
Chair(s): Hormuzd Katki, National Cancer Institute

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
Keywords: Selection Bias; Non-Probability Samples; Linear Regression; Probit Regression; Non-Ignorable Selection; Polygenic Scores

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
Keywords: Non-probability sample; double robustness; Gaussian processes; prediction model; Bayesian inference

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
Keywords: Epidemiologic cohort; Non-Probability sample; Propensity score weighting; Survey Sampling; Taylor series linearization variance

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
Keywords: balanced distribution; propensity score; quota variable

Session 326: Recent Developments in Probabilistic Record Linkage, Multiple Systems Estimation, and Entity Resolution — Invited Papers
Organizer(s): Ansu Chatterjee, University of Minnesota
Chair(s): Yang Cheng, USDA National Agricultural Statistics Service

High-Dimensional, Robust, Unsupervised Record Linkage — Ansu Chatterjee, University of Minnesota; Sabyasachi Bera, University of Minnesota
Keywords: Record Linkage; High Dimensional; Unsupervised; Robust

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
Keywords: multiple systems estimation; modern slavery ; human trafficking

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
Keywords: record linkage; capture-recapture; zero-truncated one-inflated count data; population size estimation

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
Keywords: domain membership; multiple-frame survey; record linkage

Session 352: Small Area Estimation, Analysis of Complex Sample Survey Data, and New Advances for Health Surveys — Contributed Speed
Chair(s): Lu Chen, National Institute of Statistical Sciences/USDA, NASS

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
Keywords: multi-stage sampling; exploratory analysis; data visualization; software development

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
Keywords: Cumulative vaccination coverage; Composite estimation; Variance reduction; Estimates revisions; Surveys and questionnaires

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
Keywords: Stopping rule; Responsive survey design; Nonresponse bias

A Bayesian Model for Inference on Multiple Panel Public Opinion Surveys — Brittany Alexander, Texas A&M University
Keywords: political polling; bayesian modelling; hierarchical models; mrp; panel survey

Machine Learning Methods: A Case Study Using Online Web-Based Panel Surveys (View Presentation) — Yulei He, US Centers for Disease Control and Prevention; Guangyu Zhang, CDC; Van Parsons, CDC
Keywords: probability panel; online survey; machine learning; prediction; performance; statistical estimates

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
Keywords: Cluster sample; Informative sampling; Mixed model; Quantile regression

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
Keywords: Mode Experiment; Mode Effect; Response Rates; CAHPS; Mixed Mode

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
Keywords: US population health; RANDS; COVID-19 Pandemic; on-line surveys; longitudinal design; partial overlapping samples

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
Keywords: RANDS; questionnaire design; web survey; probability panel

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
Keywords: National Health and Nutrition Evaluation Survey; NHANES; National Health Interview Survey; NHIS; confidence intervals

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
Keywords: calibration; National Health Interview Survey; Research and Development Survey; web surveys

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
Keywords: Receiver operating characteristic curve ; Precision-recall curve ; Survey data analysis; Adjusted area under the curve; Predictive study ; Diagnostic study

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
Keywords: Joinpoint regression; variance-covariance matrix; complex survey data

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
Keywords: optimal batch size sample pooling ; coronavirus ; specificity; sensitivity; hierarchical batch testing

A New Approach to Composite Estimation for Repeated Surveys with Rotating Panels — Takis Merkouris, Athens University of Economics and Business
Keywords: composite calibration; composite regression estimator; AK-composite estimator; MR-composite estimator; sample overlap

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
Keywords: COVID-19; Seroprevalence Rate; Vaccination Data

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
Keywords: MRP; Sparsity; Design; Health; Polling

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
Keywords: small domain estimation; multilevel statistical models; Standard Occupational Classification (SOC); Occupational Requirements Survey (ORS); Occupational Employment Statistics (OES) survey; establishment survey

Session 399: Collecting, Protecting, and Sharing COVID-19 Data and the Stories They Tell — Invited Papers
Organizer(s): Lars Vilhuber, Cornell University
Chair(s): Lars Vilhuber, Cornell University

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
Keywords: privacy; confidentiality; trust; covid-19; public opinion

Using Anonymized Data to Help Public Health Officials Combat COVID-19 — Damien Desfontaines, Google
Keywords: differential privacy

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
Keywords: privacy; Covid-19; health data; survey experiment; data sharing; public good

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
Keywords: covid-19; survey methods; privacy

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
Keywords:

Session 403: Recent Advances in Small Area Estimation — Topic-Contributed Papers
Organizer(s): Mahmoud Torabi, University of Manitoba
Chair(s): Mahmoud Torabi, University of Manitoba

Bayesian Hierarchical Spatial Models for Small Area Estimation — Gauri Sankar Datta, US Census Bureau/University of Georgia; Hee Cheol Chung, Texas A&M University
Keywords: Conditional autoregression; Intrinsic autoregression; Simultaneous autoregression; Fay-Herriot model; Unsampled small areas; Current Population Survey

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
Keywords:

A Bayesian Approach for Integrating a Small Probability Sample with a Non-Probability Sample — Nandram Balgobin, Worcester Polytechnic Insttute
Keywords: Big data; Covariates; Inverse probability weighting; Power prior; Small area; Surrogate sampling

Construction of a Database for Small Area Estimation — Emily Berg, Iowa State University
Keywords: Imputation; Bootstrap; Informative Sampling

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
Keywords: Auxiliary Information; Agricultural Statistics; Hierarchical Bayes; Small Area Estimation

Session 420: Modern Modeling Approaches for Imputation Using Survey Data — Invited Papers
Organizer(s): Morgan Earp, National Center for Health Statistics
Chair(s): Morgan Earp, National Center for Health Statistics

Design Consistent Random Forest Models for Survey Data — daniell toth, US Bureau of Labor Statistics; Kelly McConville, Reed College
Keywords: desgin consistent; sample design; tree models; machine learning; small area; official statistics

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
Keywords: regression trees; RegARIMA forecasts; Bayesian hierarchical models; link relative estimator

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
Keywords: American Community Survey; Bayesian analysis; Informative sampling; Polya-Gamma; Pseudo-likelihood; Variational Bayes

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
Keywords: Additive models; Boosting; Random forests; Neareast-neighbour imputation; Cubist; BART

Session 220754: Survey Research Methods Section Business Meeting and Mixer — Other Cmte/Business
Chair(s): Tony An, SAS Institute, Inc.

American Association for Public Opinion Research 2021
Virtual Conference, May 11 - May 14, 2021

Changing Modes on the Fly: Transitioning a Complex Longitudinal Survey from In-Person to Phone Due to COVID-19 — Becky Reimer; NORC at the University of Chicago; Kylie Carpenter, NORC at the University of Chicago; Ann Bisognano, NORC at the University of Chicago; Liz Kantor, NORC at the University of Chicago
Keywords: survey mode, mode analysis, in-person interviewing, telephone interviewing, data quality, COVID-19

Assessing Reproducibility of Analytic Findings Derived Through National Survey Data Integration Efforts: A Case Study Linking Patient-Level Clinical Trial Data with Medical Expenditure Panel Survey Data — Steven B. Cohen, RTI International; Jennifer Unangst, RTI International; Feng Yu, RTI International
Keywords: Project Data Sphere, Data Integration, Health Disparities, MEPS, Reproducibility

Hello ... Good-Bye. Hang-Ups and Breakoffs by Mode, Topic, and Geography in Oregon — Debbie Krug Mangipudi, ICF; Samantha McCoy, Oregon Criminal Justice Commission; Kelly Officer, Oregon Criminal Justice Commission; Ken Sanshagrin, Oregon Criminal Justice Commission; Michael Weinerman, Oregon Criminal Justice Commission; Zoe Padgett, ICF; Melinda Scott, ICF; Matt Jans, ICF; Robynne Locke, ICF; Stephen Haas, ICF; John Boyle, ICF; Randy ZuWallack, ICF; Lizzie Remrey, ICF; Heather Driscoll. ICF; Siobhan McAlister, Oregon Criminal Justice Commission
Keywords: nonresponse, paradata, hang-ups, breakoffs, web survey, phone survey

LGBTQ Disparities in Health and Social Determinants of Health in a National Monitoring Survey of Americans During the COVID-19 Pandemic — Rachel Kinder, ICF; Matt Jans, ICF; Dierdre Middleton, ICF; John Boyle, ICF; Thomas Brassell, ICF; James Dayton, ICF
Keywords: LGBTQ, COVID-19, survey, health, employment, income

Pilot Testing the Shift from In-Person to Phone Data Collection on the Medicare Current Beneficiary Survey (MCBS) — Shena Patel, NORC at the University of Chicago; Samantha Rosner, NORC at the University of Chicago; Andrea Mayfield, NORC at the University of Chicago; Jennifer Vanicek, Survey Director, NORC at the University of Chicago, Chicago, IL
Keywords: Medicare Current Beneficiary Survey, Phone Pilot Test, COVID-19, Data Collection, Interviewer

The Impact of COVID-19 on Large-Scale Phone Survey (Sample) Productivity and Response Rates — Matt Jans, ICF; Zoe Padgett, ICF; James Dayton, ICF; Randy ZuWallack, ICF; Don Allen, ICF; Josh Duell, ICF; Andy Dyer, ICF; Thomas Brassell, ICF; Sam Collins, ICF; Traci Creller, ICF
Keywords: response rates, COVID-19, RDD survey, survey productivity

The Impact of the COVID-19 Pandemic on RDD Cell Phone Response in the National Immunization Surveys — Jason Boim, NORC at the University of Chicago; Benjamin Skalland, NORC at the University of Chicago, Chicago, IL; Holly A. Hill, US Centers for Disease Control and Prevention; Michael Chen, US Centers for Disease Control and Prevention; Natalie Sterrett, US Centers for Disease Control and Prevention; David Yankey, US Centers for Disease Control and Prevention; Laurie Elam-Evans, National Center for Immunization and Respiratory Diseases, CDC
Keywords: National Immunization Surveys, COVID-19, Response Rates

Using R-Indicators to Make Case-Level Decisions for GSS 2020 — Steven Pedlow, NORC at the University of Chicago
Keywords: General Social Survey, Representativity Indicators

An Innovative Approach to Cognitive Testing: Using Cognitive Probes in Production CATI Interviews — Samantha Collins, ICF; Georgette Lavetsky, MD Department of Health; Matt Jans, ICF
Keywords: cognitive testing, questionnaire pretesting, BRFSS