JSM 2020 Online Program

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* = applied session ! = JSM meeting theme

Activity Details

6	Mon, 8/3/2020, 10:00 AM - 11:50 AM	Virtual
Learning from Permuted Data and the Analysis of Linked Files — Invited Papers
Government Statistics Section, Survey Research Methods Section, IEEE Computer Society
Organizer(s): Martin Slawski, George Mason Univ
Chair(s): Joseph Lawson, Duke University
10:05 AM	Use of Probabilistic Record Linkage in Multiple-Frame Surveys Partha Lahiri, University of Maryland, College Park; Takumi Saegusa, University of Maryland, College Park
10:35 AM	Dblink: Distributed End-to-End Bayesian Entity Resolution Rebecca C. Steorts, Duke University; Neil Marchant, Melbourne; Ben Rubinstein, Melbourne; Daniel Elzar, ABS; Andee Kaplan, Colorado State University
11:05 AM	Spherical Regression Under Mismatch Corruption with Application to Automated Knowledge Translation Xu Shi, University of Michigan; Xiaoou Li, University of Minnesota; Tianxi Cai, Harvard University
11:35 AM	Floor Discussion

17 * !	Mon, 8/3/2020, 10:00 AM - 11:50 AM	Virtual
Technology Impact on Total Survey Error — Invited Papers
Survey Research Methods Section, Social Statistics Section, Government Statistics Section, Text Analysis Interest Group
Organizer(s): Stanislav Kolenikov, Abt Associates
Chair(s): Antje Kirchner, RTI International
10:05 AM	Detecting Housing Units from Satellite Imagery Using Computer Vision Presentation Stephanie Eckman, RTI International; Qiang Qiu, Purdue University; Tien-Yu Liu, Duke University
10:25 AM	Automatic Coding of Open-Ended Questions: Does Double Coding of the Training Data Reduce the Error of Automatic Coding? Zhoushanyue He, University of Waterloo; Matthias Schonlau, University of Waterloo
10:45 AM	Total Survey Error and Geographic Information Systems Ned English, NORC; Kevin Brown, NORC ; Chang Zhao, NORC
11:05 AM	Passive Data Collection Using Smartphones Bella Struminskaya, Utrecht University
11:25 AM	Discussant: Stanislav Kolenikov, Abt Associates
11:45 AM	Floor Discussion

25 * !	Mon, 8/3/2020, 10:00 AM - 11:50 AM	Virtual
Modern Techniques in Handling Missing Data with Challenging Data Structures Including Big and Small Data Files — 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): Sixia Chen, University of Oklahoma Health Sciences Center
10:05 AM	Nearest Neighbor Multiple Imputation: Problems and Potential Solutions Presentation Rebecca Andridge, Ohio State University; Katherine Jenny Thompson, US Census Bureau
10:25 AM	Bayesian Jackknife Empirical Likelihood Based Inference for Missing Data and Causal Inference Problems Yichuan Zhao, Georgia State University; Sixia Chen, University of Oklahoma Health Sciences Center; Yuke Wang, Georgia State University
10:45 AM	A Rescaling Bootstrap Method for Imputed Survey Data Zeinab Mashreghi, University of Winnipeg; Huiqi Deng, University of Winnipeg
11:05 AM	Missing Data Analysis Using Machine Learning Chao Xu, University of Oklahoma Health Science Center; Sixia Chen, University of Oklahoma Health Sciences Center
11:25 AM	Discussant: Don Jang, National Opinion Research Center(NORC) at the University of Chicago
11:45 AM	Floor Discussion

53	Mon, 8/3/2020, 10:00 AM - 2:00 PM	Virtual
Applications of Data Linkage and Machine Learning Techniques — Contributed Papers
Survey Research Methods Section, Text Analysis Interest Group
Chair(s): Jeffrey Gonzalez, Economic Research Service
	Visualizing Text Mining Results of the Consumer Feedback Data Presentation Shankang Qu, PepsiCo
	Machine-Learning Algorithms to Improve Payment Imputation in the Medical Expenditure Panel Survey (MEPS) Presentation Emily Mitchell, Agency for Healthcare Research and Quality (AHRQ); Chandler McClellan, Agency for Healthcare Research and Quality (AHRQ); Jerrod Anderson, Agency for Healthcare Research and Quality (AHRQ); Samuel H Zuvekas, Agency for Healthcare Research and Quality (AHRQ)
	Estimating Linkage Errors Under Regularity Conditions Presentation Abel Dasylva; Arthur Goussanou, Statistics Canada
	Side Effect Reduction of Prior and Processed Information on Survey Design (Parts 1, 2 and 3) Abdellatif Demnati, Independent Researcher
	Addressing Optimization Challenges in Health Survey Research Using Multi-Objective Constrained Binary Particle Swarm Optimization Di Xiong, UCLA SPH; Honghu Liu, UCLA
	Using Data Science to Build Survey Sampling Frames from Scratch Joseph Rodhouse, National Agricultural Statistics Service; Tyler Wilson, National Agricultural Statistics Service

113	Mon, 8/3/2020, 1:00 PM - 2:50 PM	Virtual
In Memory of Chris Skinner and TMF Fred Smith — Invited Papers
Memorial, Survey Research Methods Section
Organizer(s): Stanislav Kolenikov, Abt Associates
Chair(s): Stanislav Kolenikov, Abt Associates
1:05 PM	In Memory of Chris Skinner and TMF Fred Smith Presentation Danny Pfeffermann, Israel Central Bureau of Statistics, Hebrew University of Jerusalem, Univ. of Southampton; Graham Kalton , Westat; John N. K. Rao, Carlton University; Natalie Shlomo, University of Manchester; Pedro Luis do Nascimento Silva, ENCE / Science
2:35 PM	Floor Discussion

147 !	Tue, 8/4/2020, 10:00 AM - 11:50 AM	Virtual
Private Data for the Public Good: Formal Privacy in Survey Organizations — Invited Papers
Social Statistics Section, Survey Research Methods Section, Committee on Privacy and Confidentiality
Organizer(s): Tom Krenzke, Westat
Chair(s): Tom Krenzke, Westat
10:05 AM	Will Differential Privacy Affect Social Science Research Workflow? Presentation Frauke Kreuter, University of Maryland, University of Mannheim & IAB
10:25 AM	The Effect on Data Utility of Using Differential Privacy Techniques to Produce Estimates of the Cost of Child Care Quentin Brummet, NORC at the University of Chicago
10:45 AM	How to Achieve Optimal Statistical Inference Under Formal Privacy Aleksandra Slavkovic, Pennsylvania State University
11:05 AM	The Formal Privacy Research Agenda for Complex Survey Statistics John M Abowd, U.S. Census Bureau
11:25 AM	Discussant: Jerry Reiter, Duke University
11:45 AM	Floor Discussion

156 *	Tue, 8/4/2020, 10:00 AM - 11:50 AM	Virtual
Continuing to Explore New Frontiers: Research to Integrate Administrative Data into the American Community Survey — Topic Contributed Papers
Survey Research Methods Section, Government Statistics Section, Social Statistics Section
Organizer(s): Jennifer M Ortman, U.S. Census Bureau
Chair(s): Jennifer M Ortman, U.S. Census Bureau
10:05 AM	Analyzing Differences Between Survey Responses and Administrative Data for Property Value Presentation R. Chase Sawyer, U.S. Census Bureau
10:25 AM	Using Alternative Data Sources to Fill-In Missing Values for Demographic Characteristics on the American Community Survey Sandra Clark, US Census Bureau
10:45 AM	Predicting Vacant Housing Units in the American Community Survey Andrew Keller, U.S. Census Bureau
11:05 AM	Using Administrative Records to Improve Income Measurement in the American Community Survey John Voorheis, US Census Bureau
11:25 AM	Linking ACS and IRS Data to Assess Educational Attainment by Family Income Leah R. Clark, US Census Bureau
11:45 AM	Floor Discussion

184	Tue, 8/4/2020, 10:00 AM - 2:00 PM	Virtual
New Research in Small Area Estimation — Contributed Papers
Survey Research Methods Section
Chair(s): Jeffrey Gonzalez, Economic Research Service
	Preparing Estimates of Proficiency and Their Variances for PIAAC Small Area Estimation Models Presentation Lin Li, Westat; Weijia Ren, Westat; Robert Fay, Westat; Wendy Van de Kerckhove, Westat; Jianzhu Li, Westat; Tom Krenzke, Westat
	Unit-Level vs. Area-Level Small Area Estimators, Revisited Presentation Robert Fay, Westat
	A Variable Selection Method for Small Area Estimation Modeling of the Proficiency of Adult Competency Presentation Weijia Ren, Westat; Jianzhu Li, Westat; Andreea Erciulescu, Westat; Tom Krenzke, Westat; Leyla Mohadjer, Westat
	Combining Survey Data with Other Data Sources Using Small Area Estimation: A Case Study Golshid Chatrchi, Statistics Canada; Héloïse Gauvin, Statistics Canada; Allen Ding, Statistics Canada
	Implementation of Small Area Estimation Techniques in an Economic Survey: The Experience of the Monthly Survey of Manufacturing in Canada Presentation Sebastien Landry, Statistics Canada
	Comparison of Mixed Modeling Approaches to County-Level Crop Area Estimation Using Multiple Data Sources Presentation Michael Bellow, USDA/NASS
	County-Level Estimates of U.S. Cancer Screening/Risk Factors: the National Health Interview Survey (NHIS) and the Behavioral Risk Factors Surveillance Survey (BRFSS), 20112016 John Pleis, National Center for Health Statistics; Benmei Liu, National Cancer Institute; Eric Feuer, National Cancer Institute; Yulei He, National Center for Health Statistics ; Van Parsons, National Center for Health Statistics; Bill Cai, National Center for Health Statistics; Machell Town, Center for Disease Control and Prevention

210	Tue, 8/4/2020, 10:00 AM - 2:00 PM	Virtual
Contributed Poster Presentations: Survey Research Methods Section — Contributed Poster Presentations
Survey Research Methods Section
1:	Addressing Outcome-Related Nonresponse Through a Doorstep Interview Wendy Van de Kerckhove, Westat; Tom Krenzke, Westat; Leyla Mohadjer, Westat
2:	Estimating County-Level Vaccination Coverage Using Small Area Estimation with the National Immunization Survey-Child Zachary H. Seeskin, NORC at the University of Chicago; Nada Ganesh, NORC at the University of Chicago; Kirk M. Wolter, NORC at the University of Chicago; Kennon Copeland, NORC; Ned English, NORC; Peter Herman, NORC at the University of Chicago; Michael P. Chen, Centers for Disease Control and Prevention; James A. Singleton, Centers for Disease Control and Prevention; Tammy A. Santibanez, Centers for Disease Control and Prevention; Zhen Zhao, CDC; David Yankey, CDC; Laurie D. Elam-Evans, Centers for Disease Control and Prevention; Natalie Strerrett, Centers for Disease Control and Prevention; Chalanda S. Smith, Centers for Disease Control and Prevention; Shannon Stokley, Centers for Disease Control and Prevention; Poulami Maitra, NORC at the University of Chicago
3:	Using Statistical Matching to Account for Coverage Bias When Combining Probability and Nonprobability Samples Edward Mulrow, NORC at the University of Chicago; Nada Ganesh, NORC at the University of Chicago; Vicki Pineau, NORC at the University of Chicago; Michael Yang, NORC
4:	Factors associated with missed opportunities for receipt of tetanus, diphtheria, and acellular pertussis vaccine for adolescents, National Immunization Survey-Teen, U.S., 2018 Michael P. Chen, Centers for Disease Control and Prevention; David Yankey, CDC; Laurie D. Elam-Evans, Centers for Disease Control and Prevention; Zhen Zhao, CDC; Tanja Y Walker, Centers for Disease Control and Prevention; Natalie Strerrett, Centers for Disease Control and Prevention; James A. Singleton, Centers for Disease Control and Prevention
5:	Enhancing the Quality of Administrative Data for Statistical Use Dan Liao, RTI International; Marcus Berzofsky, RTI International; Alexia Cooper, Bureau of Justice Statistics
6:	Joint Small Area Estimation for Categorical and Continuous Response Variables Based on a Conditionally Specified Model Hao Sun, Iowa State University; Zhengyuan Zhu, Iowa State University; Emily Berg, Iowa State University
7:	A Comparison of Outlier Detection Methods to Detect Irregular Counts in Administrative Data: A Case Study with NIBRS Data John Bunker, RTI International
9:	A Matching Error Model for Record Linkage Ben Williams, University of Denver; Lynne Stokes, Southern Methodist University
10:	Research on Pattern Selection in Split Questionnaire Design Xiaoning Wang, Coummunication University of China; Yongjin Jin, Renmin University of China
11:	Regression-Based Oversampling for Mutual Fund Owners Abhi Jain, NORC @ the University of Chicago; Meimeizi Zhu, NORC at University of Chicago
12:	Robust Estimation of Heckman Correction in Complex Sampling Design Michael Machiorlatti; Sixia Chen, University of Oklahoma Health Sciences Center
13:	Benchmarking Nonsampled Companies’ Imputed Values of Net Metering Capacity for the Monthly Electric Power Industry Report David Kinyon, Energy Information Administration
14:	Association of Marijuana Use with Receipt of Preventive Services and Health Behaviors Meena Khare, NCIRE; Emily Lum, NCIRE; Sri Lekha Tummalapalli, NCIRE; Salomeh Lekha Keyhani, NCIRE
15:	Nonparametric Functional Calibration Estimation in Survey Sampling Hengfang Wang, Iowa State University of Science and Technology; Jae-kwang Kim, Iowa State University; Zhengyuan Zhu, Iowa State University
16:	Application of Propensity Score Matching with Complex Survey Weighted Tobacco Smoking Data Grace H Choi, University of Pennsylvania Perelman School of Medicine; Cedric H Bien-Gund , University of Pennsylvania Perelman School of Medicine; Robert Gross, University of Pennsylvania Perelman School of Medicine; Kathleen A Brady, Philadelphia Department of Public Health AIDS Activites Coordinating Office ; Pamela A Shaw , University of Pennsylvania Perelman School of Medicine
17:	Model-Based Sampling Using an Online Probability Panel Meimeizi Zhu, NORC at University of Chicago; Angela Fontes, NORC at University of Chicago; Justine Bulgar-Medina, NORC at University of Chicago
18:	Fractional Imputation for Multivariate Categorical Missing Data Lei Zhou; Jae-kwang Kim, Iowa State University
19:	Effects of Item Order Randomization in an Online National Drug Use Survey Elise Catherine Amioka, Rocky Mountain Poison & Drug Safety (RMPDS); Joshua Curtis Black, Rocky Mountain Poison & Drug Safety (RMPDS)
20:	Non-Commercial Catch Estimation for Uku in the Main Hawaiian Islands Hongguang Ma, NOAA Fisheries Pacific Islands Fisheries Science Center; Marc Nadon, NOAA Fisheries Pacific Islands Fisheries Science Center

237	Tue, 8/4/2020, 12:00 PM - 1:00 PM	Virtual
Survey Research Methods Section P.M. Roundtable Discussion — Roundtables PM Roundtable Discussion
Survey Research Methods Section
TL13:	Confidence Intervals for Proportions in Complex Sample Surveys Carolina Franco, Census Bureau

239 * !	Tue, 8/4/2020, 1:00 PM - 2:50 PM	Virtual
Synthetic Data and Differential Privacy: Data, Privacy and the Public Good — Invited Papers
Survey Research Methods Section, Korean International Statistical Society, Government Statistics Section
Organizer(s): Hang Kim, University of Cincinnati
Chair(s): Katherine Jenny Thompson, US Census Bureau
1:05 PM	Synthetic Microdata for Establishment Surveys Under Informative Sampling Presentation Hang Kim, University of Cincinnati; Joerg Drechsler, Institute for Employment Research; Katherine Jenny Thompson, US Census Bureau
1:25 PM	Bayesian Pseudo Posterior Mechanism Under Differential Privacy Terrance Savitsky, Bureau of Labor Statistics; Matthew Williams, National Center for Science and Engineering Statistics, National Science Foundation; Jingchen (Monika) Hu, Vassar College
1:45 PM	Differentially Private Data Synthesis: Challenges and Opportunities Fang Liu, University of Notre Dame
2:05 PM	On the Formally Private Use of Public Historical Data to Control Upward Bias in Small Counts Philip Leclerc, US Census Bureau
2:25 PM	Discussant: Joerg Drechsler, Institute for Employment Research
2:45 PM	Floor Discussion

267 !	Tue, 8/4/2020, 1:00 PM - 2:50 PM	Virtual
Using Multiple Sources of Data to Assess and Improve Data Quality — Topic Contributed Papers
Government Statistics Section, Health Policy Statistics Section, Survey Research Methods Section
Organizer(s): Jennifer D Parker, NCHS
Chair(s): Jennifer D Parker, NCHS
1:05 PM	Using Surveys and Administrative Data to Assess the Quality of Linked Data: National Center for Health Statistics’ Data Linkage Program Presentation Cordell Golden, National Center for Health Statistics (NCHS/CDC); Lisa B Mirel, National Center Health Statistics (NCHS/CDC)
1:25 PM	Assessing National Hospital Care Survey and National Ambulatory Medical Care Survey Data: A Comparison of Opioid and Respiratory Disease Encounters Geoffrey Jackson, National Center for Health Statistics; Carol DeFrances, National Center for Health Statistics; Jill Ashman, National Center for Health Statistics
1:45 PM	Using External Sources for Evaluating and Mitigating Nonresponse Bias and Sampling Variability Tala Fakhouri, National Center for Health Statistics; Crescent Martin, National Center for Health Statistics ; Te-Ching Chen, CDC/NCHS; Jay Clark, Westat; Minsun Riddles, Westat; Joseph Afful, Peraton; Leyla Mohadjer, Westat
2:05 PM	Propensity Score Adjusted Estimation of National Health Outcomes from Web Panels Katherine Irimata, National Center for Health Statistics
2:25 PM	Discussant: Kennon Copeland, NORC
2:45 PM	Floor Discussion

269 * !	Tue, 8/4/2020, 1:00 PM - 2:50 PM	Virtual
Combining Information from Multiple Sources for Various Purposes — Topic Contributed Papers
Survey Research Methods Section, Government Statistics Section, Section on Statistics and the Environment
Organizer(s): Andreea Erciulescu, Westat
Chair(s): Weijia Ren, Westat
1:05 PM	Data Reconciliation and Estimation in an Agricultural Survey Habtamu Benecha, USDA/NASS; Linda J Young, NASS; Denise A Abreu, NASS; Rachael Jennings, USDA/NASS
1:25 PM	Sample-Based Calibration of Two Surveys Jean Opsomer, Westat; Andreea Erciulescu, Westat
1:45 PM	A Bridging Model to Reconcile Statistics Based on Data from Multiple Surveys Presentation Andreea Erciulescu, Westat; Jean Opsomer, Westat; Jay Breidt, Colorado State University
2:05 PM	Combining Multiple Data Sources for Erosion Estimation Emily Berg, Iowa State University
2:25 PM	Discussant: Carolina Franco, Census Bureau
2:45 PM	Floor Discussion

281 * !	Wed, 8/5/2020, 10:00 AM - 11:50 AM	Virtual
The State-of-the-Art Developments with Nonignorable Nonresponse — Invited Papers
Survey Research Methods Section, International Association of Survey Statisticians, Social Statistics Section
Organizer(s): Jiwei Zhao, State University of New York at Buffalo
Chair(s): Ran Tao, Vanderbilt University
10:05 AM	An Inferential Procedure in a Linear Regression Model Under a Model-Free Missingness Mechanism: Without and with Penalization Jiwei Zhao, State University of New York at Buffalo
10:30 AM	Semiparametric Response Model with Nonignorable Nonresponse Jae-kwang Kim, Iowa State University
10:55 AM	Testing for Principal Component Directions Under Weak Identifiability Davy Paindaveine, Université libre de Bruxelles and Université Toulouse Capitole; Thomas Verdebout, Université libre de Bruxelles; Julien Remy, Université libre de Bruxelles
11:20 AM	The Role of Weights in Regression Modeling and Imputation (Including When There is Nonignorable Nonresponse) Presentation Phillip S Kott, RTI International
11:45 AM	Floor Discussion

290 * !	Wed, 8/5/2020, 10:00 AM - 11:50 AM	Virtual
How the Council of Professional Associations on Federal Statistics Advances Excellence in Federal Statistics — Invited Papers
Government Statistics Section, Social Statistics Section, Survey Research Methods Section
Organizer(s): Cynthia Z. F. Clark, Council of Professional Associations on Federal Statistics
Chair(s): William W. Beach, Bureau of Labor Statistics
10:05 AM	The Role of Policy and Advocacy Katherine Smith Evans, American Economic Association
10:30 AM	Collaboration to Enable the Federal Committee on Statistical Methodology Conferences Presentation Rochelle (Shelly) Wilkie Martinez, Office of Management and Budget
10:55 AM	Engaging Federal Statistical Agencies with Stakeholders and Users: Roles of COPAFS Quarterly Meetings, Monthly Updates, Workshops, and Seminars Cynthia Z. F. Clark, Council of Professional Associations on Federal Statistics; Paul Schroeder, COPAFS
11:20 AM	Discussant: Steven B. Cohen, RTI International
11:45 AM	Floor Discussion

303 !	Wed, 8/5/2020, 10:00 AM - 11:50 AM	Virtual
Recent Developments on Order-Related Designs and Inferences — Topic Contributed Papers
Korean International Statistical Society, Survey Research Methods Section, Section on Nonparametric Statistics
Organizer(s): Xinlei (Sherry) Wang, Southern Methodist University
Chair(s): Johan Lim, Seoul National University
10:05 AM	Robust Confidence Intervals for a Proportion Using Ranked-Set Sampling Presentation Yimin Zhang, Villanova University; Jesse Frey, Villanova University
10:25 AM	An Objective General Index and Its Generalizations Tomonari Sei, The University of Tokyo
10:45 AM	Unbalanced Ranked Set Sampling in CRDs and Its Application to Missing Data from Balanced Design Soohyun Ahn, Ajou University; Xinlei (Sherry) Wang, Southern Methodist University; Johan Lim, Seoul National University
11:05 AM	Sequential Analysis for Testing the Equality of Two Distributions Based on Early Failed Ranked Set Samples Tao Li, Shanghai University of Fianance and Economics
11:25 AM	On the Generalized Isotonic Recursive Partitioning Algorithm Joong-Ho Won, Seoul National University
11:45 AM	Floor Discussion

308 * !	Wed, 8/5/2020, 10:00 AM - 11:50 AM	Virtual
Data Integration in 21st Century Government Surveys — Topic Contributed Papers
Government Statistics Section, Survey Research Methods Section, Social Statistics Section
Organizer(s): Timothy Trudell, US Census Bureau
Chair(s): Carolina Franco, Census Bureau
10:05 AM	Robust, High-Dimensional Data Linkage for Small Area Statistics Snigdhansu Chatterjee, University of Minnesota
10:25 AM	Hierarchical Bayesian Model with Inequality Constraints for County Estimates Lu Chen, National Institute of Statistical Sciences; Bal Nandram, Worcester Polytechnic Institute; Nathan B. Cruze, NASS, USDA
10:45 AM	Statistical Integration and Inference via Multilevel Regression and Poststratification Yajuan Si, University of Michigan
11:05 AM	On a Bayesian Empirical Likelihood Based Information Integration for Complex Survey Data Sanjay Chaudhuri, National University of Singapore
11:25 AM	Adjusting Record Linkage Match Weights to Partial Levels of String Agreement Dean Resnick, National Opinion Research Center (NORC); Lisa B Mirel, National Center Health Statistics (NCHS/CDC); Marc Roemer, Agency for Healthcare Research and Quality; Scott Cambell, N.O.R.C. at the University of Chicago
11:45 AM	Floor Discussion

310 !	Wed, 8/5/2020, 10:00 AM - 11:50 AM	Virtual
Modern Approaches to Small Area Estimation with Spatial Modeling and Machine Learning — Topic Contributed Papers
Survey Research Methods Section, Government Statistics Section, Section on Bayesian Statistical Science
Organizer(s): Scott H. Holan, University of Missouri
Chair(s): Scott H. Holan, University of Missouri
10:05 AM	Bayesian Nonparametric Multivariate Spatial Mixture Mixed Effects Models with Application to American Community Survey Special Tabulations Ryan Janicki, U.S. Census Bureau ; Andrew M. Raim, U.S. Census Bureau; Scott H. Holan, University of Missouri; Jerry Maples, U.S. Census Bureau
10:25 AM	A Bivariate Dirichlet-Multinomial Small Area Share Model with Application to Joint Estimation of School District Population and Poverty Jerry Maples, U.S. Census Bureau
10:45 AM	Computationally Efficient Deep Bayesian Unit-Level Modeling of Survey Data Under Informative Sampling for Small Area Estimation Paul A. Parker, University of Missouri; Scott H. Holan, University of Missouri
11:05 AM	Interpolating Population Distributions using Public-use Data with Application to the American Community Survey Matthew Simpson, SAS Institute; Scott H. Holan, University of Missouri; Christopher Wikle, University of Missouri; Jonathan Bradley, Florida State University
11:25 AM	Bayesian Analysis of Areal Data with Unknown Adjacencies Using the Stochastic Edge Mixed Effects Model Jonathan Bradley, Florida State University
11:45 AM	Floor Discussion

332	Wed, 8/5/2020, 10:00 AM - 2:00 PM	Virtual
Recent Advances in Analysis with Missing Data — Contributed Papers
Survey Research Methods Section
Chair(s): Yajuan Si, University of Michigan
	Examining Multiple Imputation Techniques to Correct for Measurement Error in Count Data with Excess Zeros Shalima Zalsha, Southern Methodist University
	General and Feasible Multiple Imputation Tests Kin Wai Chan, The Chinese University of Hong Kong
	A Review of Methods in Testing Missingness Mechanisms and Their Applications to Social Survey Data Presentation Mack Shelley, Iowa State University; Peiyi Lu, Iowa State University
	A Flexible and Efficient Algorithm for Joint Imputation of General Data Michael Robbins, RAND Corporation
	Imputation for Non-Normal Multivariate Continuous Data Using Copula Transformation Zhixin Lun, Oakland University; Ravindra Khattree, Oakland University

334	Wed, 8/5/2020, 10:00 AM - 2:00 PM	Virtual
New Methods for Survey Weighting and Variance Estimation — Contributed Papers
Survey Research Methods Section
Chair(s): Joseph Rodhouse, National Agricultural Statistics Service
	Enhancing Sampling Weights Using Raking Method Yan Wang, University of California, Los Angles; Di Xiong, UCLA; Kathy Phipps, Los Angeles County; Steve Lee, UCLA; Jie Shen, UCLA; Abrey Danial, Los Angeles County; Maritza Cabezas, Los Angeles County; James Crall, UCLA; Honghu Liu, UCLA
	Creating Proper Weights with Few PSUs: A Comparison of a GREG Adjustment to Calibration for National Health and Nutrition Examination Survey (NHANES) 2017-2018 Weights Te-Ching Chen, CDC/NCHS; Jay Clark, Westat; Minsun Riddles, Westat
	Creating Sampling Weights Through an Iterative Raking Procedure Mitch Sevigny, Craig Hospital
	Assessment of Respondent-Driven Sampling Bootstrap Variance Estimators Isabelle Beaudry, Pontificia Universidad Católica de Chile; Miles Q. Ott, Smith College
	Challenges Related to Regression Composite Estimation in Statistics Canada's Labour Force Survey Presentation Martin Pantel, Statistics Canada; Jack Gambino, Statistics Canada; Wisner Jocelyn, Statistics Canada; Emmanuel Benhin, Statistics Canada; Dany Faucher, Statistics Canada

379	Wed, 8/5/2020, 12:00 PM - 1:00 PM	Virtual
Survey Research Methods Section P.M. Roundtable Discussion — Roundtables PM Roundtable Discussion
Survey Research Methods Section
WL13:	Weighting Methods in Surveys David Haziza, Université de Montréal

415 * !	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
Massive Administrative Data to Advance the Public Good — Topic Contributed Panel
Social Statistics Section, Government Statistics Section, Survey Research Methods Section
Organizer(s): Asaph Young Chun, Statistics Research Institute - Statistics Korea
Chair(s): Justin Fisher, Government Accountability Office
1:05 PM	Massive Administrative Data to Advance the Public Good: Nudging Data-Based Exit Policy - Nearcasting Lessons from the Crucible of Pandemic Crisis
Panelists:	Asaph Young Chun, Statistics Research Institute - Statistics Korea Bruce Meyer, University of Chicago, Harris School of Public Policy
2:45 PM	Floor Discussion

220177	Wed, 8/5/2020, 5:00 PM - 6:00 PM	Virtual
SRMS Business Meeting — Other Cmte/Business
Survey Research Methods Section
Chair(s): Morgan Earp, National Center for Health Statistics

426 * !	Thu, 8/6/2020, 10:00 AM - 11:50 AM	Virtual
SESSION CANCELLED — Invited Papers
Survey Research Methods Section, Government Statistics Section, Social Statistics Section

434 * !	Thu, 8/6/2020, 10:00 AM - 11:50 AM	Virtual
Robust and Efficient Inferences in Observational Studies and from Nonrandom Samples — Invited Papers
Government Statistics Section, Survey Research Methods Section, Section on Statistics in Epidemiology
Organizer(s): Vladislav Beresovsky, National Center for Health Statistics
Chair(s): Katherine Irimata, National Center for Health Statistics
10:05 AM	Semiparametric Inference for Non-Monotone Missing-Not-At-Random Data: The No Self-Censoring Model Daniel Malinsky, Johns Hopkins University; Ilya Shpitser, Johns Hopkins University; Eric Tchetgen Tchetgen, University of Pennsylvania
10:30 AM	Robust Inference for Non-Probability Samples When a Benchmark Survey with a Complex Design Is Present: A Synthetic Population Approach with Non-Parametric Bayesian Modeling Ali Rafei, University of Michigan; Michael R Elliott, University of Michigan; Carol Flannagan, Transportation Research Institute, University of Michigan
10:55 AM	Variable Selection in Causal Inference with a Binary Outcome Brandon Koch, University of Nevada, Reno; Laura Johnson, University of Nevada, Reno; Hank Green, Indiana University ; Erin Pullen, Indiana University; Karla Wagner, University of Nevada, Reno
11:20 AM	Having a Cake and Eating it Too Robust and Efficient Estimation by Benchmarking Web Samples to Probability Survey Samples Presentation Vladislav Beresovsky, National Center for Health Statistics
11:45 AM	Floor Discussion

451 * !	Thu, 8/6/2020, 10:00 AM - 11:50 AM	Virtual
125 Years of Representative Sampling: Important Contributions in the History of Survey Statistics — Topic Contributed Papers
Survey Research Methods Section, History of Statistics Interest Group
Organizer(s): Hans Kiesl, Regensburg University of Applied Sciences
Chair(s): Joerg Drechsler, Institute for Employment Research
10:05 AM	Probability vs. Nonprobability Sampling? From the Birth of Survey Sampling to the Present Day Graham Kalton , Westat
10:25 AM	Leslie Kish's Contributions to Survey Sampling Raphael Nishimura, University of Michigan; James Lepkowski, University of Michigan; Steve Heeringa, University of Michigan; James Wagner, University of Michigan
10:45 AM	Important Contributions to the Theory of Representative Sampling After the 1960s Presentation John N. K. Rao, Carlton University
11:05 AM	Ralph Folsom’s 1991 Social Statistics Proceedings Paper: A Seminal Contribution to Calibration Weighting for Nonresponse You Likely Never Heard Of Presentation Jeremy Aldworth, RTI International; Phillip S Kott, RTI International
11:25 AM	Discussant: Hans Kiesl, Regensburg University of Applied Sciences
11:45 PM	Floor Discussion

453	Thu, 8/6/2020, 10:00 AM - 11:50 AM	Virtual
Recursive Partitioning for Modeling Survey Data and Randomized Trials — Topic Contributed Papers
Survey Research Methods Section, Government Statistics Section, Social Statistics Section
Organizer(s): Morgan Earp, National Center for Health Statistics
Chair(s): Brady T West, University of Michigan
10:05 AM	Assessing the Relationship Between Proxy Burden Measures and Survey Response in a Longitudinal Household Survey Using Regression Trees Morgan Earp, National Center for Health Statistics; Brandon Kopp, Bureau of Labor Statistics; John Dixon, Bureau of Labor Statistics
10:25 AM	A Comparison of Classification and Regression Tree Methodologies When Modeling Survey Nonresponse William Cecere, Westat; Amy Lin, Westat; Jennifer Kali, Westat; Michael Jones, Westat
10:45 AM	Identifying Cluster-Level Predictors While Controlling for Unit-Level Characteristics in Clustered Data Presentation Elizabeth Petraglia, Westat
11:05 AM	Fitting Classification Trees Accounting for Complex Survey Design Minsun Riddles, Westat; Jean Opsomer, Westat; Elizabeth Petraglia, Westat
11:25 AM	Exploring R {Rpms} to Predict Perceived Respondents Burden in the Consumer Expenditure Interview Survey Daniel Yang, Bureau of Labor Statistics
11:45 AM	Floor Discussion

472 *	Thu, 8/6/2020, 10:00 AM - 2:00 PM	Virtual
Paradata and Responsive Survey Design — Contributed Papers
Survey Research Methods Section
Chair(s): James Wagner, University of Michigan
	Evaluation of Key Performance Indicators for Interviewer Falsification Suspicion from Paradata and Interview Data Tom Krenzke, Westat; Weijia Ren, Westat; Wendy Van de Kerckhove, Westat; Stephanie Mendoza, Westat
	Eliciting Priors for Bayesian Prediction of Daily Response Propensity in Responsive Survey Design: Historical Data Analysis vs. Literature Review Presentation Brady T West, University of Michigan; Michael R Elliott, University of Michigan; James Wagner, University of Michigan; Stephanie Coffey, University of Maryland - JPSM; Xinyu Zhang, University of Michigan
	A Bayesian Model-Based Decision Rule in Responsive Survey Design Xinyu Zhang, University of Michigan; James Wagner, University of Michigan; Michael R Elliott, University of Michigan; Brady T West, University of Michigan; Stephanie Coffey, University of Maryland - JPSM
	Tell Me the Truth How Burdensome Was This Online Survey? a Look at Self-Reported vs. Interviewer Collected Feedback on an Online Expenditure Diary Presentation Laura Erhard, Bureau of Labor Statistics; Parvati Krishnamurty, Bureau of Labor Statistics
	Visualizing Respondent Paths in Web Surveys to Improve Survey Design Renee Ellis, U.S. Census Bureau
	Evaluating the Impact of the Loss of Telephone Follow-Up (TFU) Operations on the Service Monthly and Annual Sample Maintenance (SMASM) Quarterly Birth Sampling Micah Tyler, U.S. Census Bureau; Michael Owen, U.S. Census Bureau; Franklin Sell, U.S. Census Bureau

474	Thu, 8/6/2020, 10:00 AM - 2:00 PM	Virtual
New Advances in Modeling Survey Data — Contributed Papers
Survey Research Methods Section
Chair(s): Sunghee Lee, University of Michigan
	Hierarchical Bayesian Models for Areal Count-Valued Data with Measurement Error Presentation Saikat Nandy, University of Missouri; Scott H. Holan, University of Missouri
	Comparative Study of MSE Estimates for Small Area Models Under Different Sampling Variances Kyle Irimata, U.S. Census Bureau; Gauri Datta, U.S. Census Bureau/University of Georgia; Jerry Maples, U.S. Census Bureau
	Multivariate Beta-Binomial Models for the Analysis of Food Security Surveys Michelle Lacey, Tulane University; Aleksandra Gorzycka-Sikora, University of Miami; Nancy Mock, Tulane University
	Evaluation of Multi-Class Classification Models for Census Mindsets Mary H. Mulry, U.S. Census Bureau; Steven Scheid, U.S. Census Bureau; Darcy Steeg Morris, U.S. Census Bureau
	Multilevel Matching in Natural Experimental Studies: Application to Stepping up Counties Niloofar Ramezani, George Mason University; Alex Breno, George Mason University; Benjamin Mackey, George Mason University; Alison Evans Cuellar, George Mason University; Jill Viglione, University of Central Florida; April Chase, University of Central Florida; Jennifer Johnson, Michigan State University; Faye Taxman, George Mason University
	Variable Selection in Sequential Hierarchical Regression Imputation Qiushuang Li, University At Albany; Recai Yucel, STATE UNIVERSITY OF NEW YORK AT ALBANY, School of Public Health
	Applying Bayesian Methods to Estimate Human Papillomavirus (HPV) Vaccination by Public Health Districts (PHD) in Georgia Presentation David Yankey, CDC; Michael P. Chen, Centers for Disease Control and Prevention; Laurie D. Elam-Evans, Centers for Disease Control and Prevention; Benjamin Fredua, Leidos Health Incorporated ; Cassandra S. Pingali, Centers for Disease Control and Prevention; Mary Ann K. Hall, Eagle Global Scientific; James A. Singleton, Centers for Disease Control and Prevention; Shannon Stokley, Centers for Disease Control and Prevention

475	Thu, 8/6/2020, 10:00 AM - 2:00 PM	Virtual
Recent Advances in Sample and Survey Design — Contributed Papers
Survey Research Methods Section
Chair(s): Minsun Riddles, Westat
	Methodological Challenges in Estimating the Size of the Jewish Population in Greater Philadelphia David Marker, Westat; Shelley Brock Roth, Westat; Darby Steiger, Westat; Jill DeMatteis, Westat
	Sample Improvement for the Quarterly Financial Report Forest Krueger
	Predicting Recruitment Success in Respondent Driven Sampling Sunghee Lee, University of Michigan
	Going Online: Results from the Consumer Expenditure Survey’s Large Scale Online Diary Feasibility Test Parvati Krishnamurty, Bureau of Labor Statistics
	Designing a National Suicide Risk Surveillance System Among Veterans: Assessing Social and Community Environments with National Data (ASCEND) for Veteran Suicide Prevention Christopher Johnson, NORC at the University of Chicago; Evan Nathan-Herring, NORC at the University of Chicago; Claire Hoffmire, U.S. Department of Veterans Affairs; Eileen Peng, Minuteman Technology Services; Vincent Welch, NORC at the University of Chicago; Nathaniel Mohatt, Rocky Mountain MIRECC, Denver VAMC
	Surveying by One of Canada’s Self-Governing Indigenous Governments: Sampling Lessons Learned from the Nisga’a Lisims Government Adam Perry, Nisga’a Lisims Government; Michelle Vanchu-Orosco, Independent Consultant; Hannes Edinger, Big River Analytics ; Shannon West-Johnson, Nisga’a Lisims Government
	Effects of Misclassification in Sampling Stratification on Survey Estimates Tiandong Li, Health Resources and Services Administration; Tracy Mattingly, the Census Bureau
2:	Applying Performance Criteria to Audit Sample Designs: Reliability, Innovation and Design Turner Bond, HUD - Office of Inspector General

476	Thu, 8/6/2020, 10:00 AM - 2:00 PM	Virtual
Innovations in Analytic Approaches for Survey Data — Contributed Papers
Survey Research Methods Section
Chair(s): Terrance Savitsky, Bureau of Labor Statistics
	Bayesian Hierarchical Models for the Prediction of American Elections Brittany Alexander, Texas A&M University; Jeffrey Hart, Texas A&M University
	Comparing Results Between Survey Analysis Software and NCI’s Joinpoint Software for Trend Analyses of Survey Data Jennifer Rammon, National Center for Health Statistics/CDC; Kate Hubbard, National Center for Health Statistics/CDC; Deanna Kruszon-Moran, National Center for Health Statistics; Robin Cohen, National Center for Health Statistics/CDC; Margaret Carroll, National Center for Health Statistics/CDC
	Adherence and Reliability of Mobile Health App-Based Surveys in the Electronic Framingham Heart Study Chathurangi H Pathiravasan, Department of Biostatistics, School of Public Health, Boston University; Yuankai Zhang, Boston University School of Public Health; Ludovic Trinquart, Boston University School of Public Health; David McManus, University of Massachusetts; Emelia J. Benjamin, Department of Medicine, and Department of Epidemiology, Boston University ; Belinda Borrelli, Department of Health Policy & Health Services Research, Boston University; Honghuang Lin, Section of Computational Biomedicine, Department of Medicine, Boston University ; Amy Dunn, School of Medicine, Framingham Heart Study; Eric Schramm, CareEvolution; Chunyu Liu, Department of Biostatistics, Boston University School of Public Health, Boston; Joanne M. Murabito, Section of General Internal Medicine, Department of Medicine, Boston University
	Quasi-Generalized Score Tests for Complex Samples Yan Liu, FDA/CDRH
	Efficient and Robust Propensity-Score-Based Methods for Finite Population Inference with Non-Probability Epidemiologic Cohorts Lingxiao Wang, University of Maryland, College Park; Yan Li, University of Maryland, College Park; Barry Graubard, National Cancer Institute ; Hormuzd Katki, US National Cancer Institute
	Hybrid of Crossed Model and a New Unrelated Question Model for Two Sensitive Characteristics Stephen Sedory, Texas A&M University-Kingsville; Renhua Zheng, Texas A&M University-Kingsville; Sarjinder Singh, Texas A&M Kingsville

508	Thu, 8/6/2020, 12:00 PM - 1:00 PM	Virtual
SPAIG Committee Lunchtime Speaker — Roundtables Speaker with Lunch
Stats. Partnerships Among Academe Indust. & Govt. Committee, Government Statistics Section, Survey Research Methods Section
Chair(s): John Kolassa, Rutgers University
12:05 PM	Trying to Be a Good Data Steward in the 21st Century John M Abowd, U.S. Census Bureau

517	Thu, 8/6/2020, 12:00 PM - 1:00 PM	Virtual
Survey Research Methods Section P.M. Roundtable Discussion — Roundtables PM Roundtable Discussion
Survey Research Methods Section
RL11:	Bridging Data Science and Survey Methodology in Research and Educational Programs Yajuan Si, University of Michigan
RL12:	Scaling up Smartphone Data Collection: Can it Work? Christopher Antoun, University of Mayland; Florian Keusch, University of Mannheim; Frauke Kreuter, University of Maryland, University of Mannheim & IAB
RL13:	Developments in Address Based Sampling Jill DeMatteis, Westat

527	Thu, 8/6/2020, 1:00 PM - 2:50 PM	Virtual
New Approaches to Model-Assisted Survey Estimation with Informative Weights — Invited Papers
Survey Research Methods Section, Government Statistics Section
Organizer(s): Eric V Slud, US Census Bureau
Chair(s): Barry Graubard, National Cancer Institute
1:05 PM	A Pairwise Likelihood Method for Survey Data with Sampling Weights Incorporated Under Two-Level Models Grace Yi, Unievrsity of Western Ontario; John N. K. Rao, Carlton University; Haocheng Li, Roche Canada
1:30 PM	Bayesian Mixed Models Under Informative Sampling Presentation Terrance Savitsky, Bureau of Labor Statistics; Matthew Williams, National Center for Science and Engineering Statistics, National Science Foundation
1:55 PM	Nonidentifiability of Mixed-Model Parameters under Informative Sampling using only Single-Inclusion Weights Presentation Eric V Slud, US Census Bureau
2:20 PM	Discussant: Roderick J Little, University of Michigan
2:40 PM	Floor Discussion

548 * !	Thu, 8/6/2020, 1:00 PM - 2:50 PM	Virtual
Using Artificial Intelligence and Advanced Statistical Methods to Improve Official Statistics — Topic Contributed Papers
Government Statistics Section, Section on Statistical Learning and Data Science, Survey Research Methods Section
Organizer(s): Barry W Johnson, Statistics of Income, Internal Revenue Service
Chair(s): Barry W Johnson, Statistics of Income, Internal Revenue Service
1:05 PM	Recommender Algorithms for Form Anomaly Detection William Roberts, Deloitte; Anne Parker, Internal Revenue Service; Danielle Gewurz, Deloitte
1:25 PM	Statistically Robust Estimation of Unprotected Identity Theft in Individual Tax Returns: A Non-Parametric Simulation Based Approach Sabyasachi Guharay, US Internal Revenue Service
1:45 PM	NAICS Code Prediction Using Supervised Methods Presentation Anne Parker, Internal Revenue Service; Evan Schulz, Internal Revenue Service; Christine Oehlert, Internal Revenue Service
2:05 PM	An Active Learning Approach for Collecting Tax Revenue Kristen Altenburger, Stanford University; Brandon Anderson, Stanford University; Ben Chugg, Stanford University; Jacob Goldin, Stanford University; Daniel En-Wenn Ho, Stanford Law School; Ahmad Qadri, Internal Revenue Service; Evelyn Smith, University of Michigan
2:25 PM	Discussant: Karl Branting, MITRE Corporation
2:45 PM	Floor Discussion

557	Thu, 8/6/2020, 3:00 PM - 4:50 PM	Virtual
Current Trends in Bayesian Survey Sampling: A Celebration of Glen Meeden's 80th Birthday — Invited Papers
Survey Research Methods Section, International Association of Survey Statisticians, International Society for Bayesian Analysis (ISBA)
Organizer(s): Malay Ghosh, University of Florida
Chair(s): Malay Ghosh, University of Florida
3:05 PM	Bayesian inference using survey sampling data when sampling is informative Presentation Joseph Sedransk, University of Maryland and Case Western Reserve University
3:30 PM	A Hierarchical Bayes Unit-Level Small Area Estimation Model for Normal Mixture Populations Gauri Datta, U.S. Census Bureau/University of Georgia
3:55 PM	A Bayesian Approach to Linking a Survey and a Census Bal Nandram, Worcester Polytechnic Institute
4:20 PM	On the use of estimated Bayes factors in latent-class regression modeling Joseph L. Schafer, U.S. Census Bureau
4:45 PM	Floor Discussion

574 !	Thu, 8/6/2020, 3:00 PM - 4:50 PM	Virtual
Survey and Administrative Data Linkage in a European Survey of Wealth — Topic Contributed Papers
Survey Research Methods Section, Government Statistics Section, Business and Economic Statistics Section
Organizer(s): Arthur B Kennickell, Stone Center, CUNY Graduate Center
Chair(s): Anne Parker, Internal Revenue Service
3:05 PM	Household Indebtedness in the Survey of Household Finances and the Central Credit Register: A Comparative Analysis for Spain Sandra García-Uribe, Banco De Espana; Olympia Bover, Banco de España; Laura Crespo, Banco de España
3:25 PM	Debt Affordability After Retirement, an Investigation of Survey Data and Administrative Databases Mauro Mastrogiacomo, Dutch National Bank
3:45 PM	Modifying the Sampling Design of the Panel on Household Finances in Wave 4: Aims and Challenges Presentation Panagiota Tzamourani, Deutsche Bundesbank; Rene Bernard, Deutsche Bundesbank; Tobias Schmidt, Deutsche Bundesbank
4:05 PM	Optimal Sampling Design with Administrative Sources for Household Finance Surveys Andrea Neri, Banca d'Italia
4:25 PM	Who's Asking? Interviewer Effects on Unit Nonresponse in the Household Finance and Consumption Survey Presentation Nicolas Albacete, Oesterreichische Nationalbank; Pirmin Fessler, Oesterreichische Nationalbank; Peter Lindner, Oesterreichische Nationalbank
4:45 PM	Floor Discussion

588	Thu, 8/6/2020, 3:00 PM - 4:50 PM	Virtual
GSS/SRMS/SSS Student Paper Award Winners — Topic Contributed Papers
Government Statistics Section, Survey Research Methods Section, Social Statistics Section
Organizer(s): William Cecere, Westat
Chair(s): Jean Opsomer, Westat
3:05 PM	Multifile Record Linkage and Duplicate Detection via a Structured Prior for Partitions Serge Aleshin-Guendel, University of Washington; Mauricio Sadinle, University of Washington
3:25 PM	Privacy for Spatial Point Process Data Adam Walder, Pennsylvania State Unversity
3:45 PM	Transformed Fay-Herriot Model with Measurement Error in Covariates Sepideh Mosaferi, Iowa State University; Rebecca C. Steorts, Duke University
4:05 PM	Robust Bayesian Non-Parametric Inference for Non-Probability Samples: An Attempt to Combine Sensor-Based Records with Traditional Survey Data Presentation Ali Rafei, University of Michigan; Michael R Elliott, University of Michigan; Carol Flannagan, Transportation Research Institute, University of Michigan
4:25 PM	An Overlooked Bias-Variance Tradeoff for Average Treatment Effects in Multisite Randomized Trials Daniel Schwartz, University of Chicago; Stephen Raudenbush, University of Chicago
4:45 PM	Floor Discussion

JSM 2020 Online Program

Activity Details

American Statistical Association