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

Activity Details


25 !
Sun, 7/28/2019, 2:00 PM - 3:50 PM CC-704
What Contributes to a Successful Data Visualization Project? — Topic Contributed Panel
Section on Statistical Graphics, Social Statistics Section
Organizer(s): Nola du Toit, NORC at the University of Chicago
Chair(s): Nola du Toit, NORC at the University of Chicago
2:05 PM What Contributes to a Successful Data Visualization Project?
Presentation 1 Presentation 2 Presentation 3
Panelists: Jessica R Hullman, Northwestern University
Laura Fingerson, Institutional Insights, Strategic Education, Capella University | Strayer Univ
Michael Latterner, NORC at the University of Chicago
Naomi Robbins, NBR-Graphs
Sam Tyner, Iowa State University
3:40 PM Floor Discussion
 
 

26 * !
Sun, 7/28/2019, 2:00 PM - 3:50 PM CC-603
CANCELED: Data for Social Good: Opportunities and New Directions — Topic Contributed Panel
Social Statistics Section, Committee on Career Development, Stats. Partnerships Among Academe Indust. & Govt. Committee
Organizer(s): David Corliss, Peace-Work
Chair(s): Redouane Betrouni, U.S. Census Bureau
3:40 PM Floor Discussion
 
 

50 *
Sun, 7/28/2019, 4:00 PM - 5:50 PM CC-201
Statistical Methods Applied to Discrimination: Recent Contributions from the Journal — Invited Papers
Statistics and Public Policy, Social Statistics Section
Organizer(s): Mike L. Cohen, Committee on National Statistics
Chair(s): Jerry Reiter, Duke University
4:05 PM Salary Differentials by Gender and Discipline
Presentation
Lynne Billard, University of Georgia
4:30 PM Assessing the Impact of Voter ID Laws
Presentation
Kelly McConville, Reed College; S. Lynne Stokes, Southern Methodist University; Mary Gray, American University
4:55 PM Data Bias, Algorithmic Fairness and Evaluating Discriminatory Impacts in Predictive Policing
P. Jeffrey Brantingham, UCLA Department of Anthropology; George Mohler, Indiana University – Perdue University Indianapolis
5:20 PM Discussant: David Banks, SAMSI/Duke University
5:45 PM Floor Discussion
 
 

51 * !
Sun, 7/28/2019, 4:00 PM - 5:50 PM CC-210/212
Making Sense of Discrete Data: Challenges, Inferences and Applications — Invited Papers
Social Statistics Section, Business and Economic Statistics Section, Section on Statistics in Marketing
Organizer(s): Dungang Liu, University of Cincinnati
Chair(s): Chris Wild, University of Auckland
4:05 PM Clustering Language Features: Scaling up from Micro to Macro Variation
Presentation
Ivy Liu, Victoria University of Wellington; Richard Arnold, Victoria University of Wellington; Miriam Meyerhoff, Victoria University of Wellington; Shirley Pledger, Victoria University of Wellington; Lingyu Li, Victoria University of Wellington
4:35 PM Assessing Partial Association Between Ordinal Variables: A General Framework
Dungang Liu, University of Cincinnati; Shaobo Li, University of Kansas; Yan Yu, University of Cincinnati
5:05 PM Mediation Analysis via Copula Structural Equation Models for Variables of Mixed Types
Peter X.K. Song , School of Public Health, University of Michigan ; Wei Hao, University of Michigan
5:35 PM Floor Discussion
 
 

65 * !
Sun, 7/28/2019, 4:00 PM - 5:50 PM CC-706
New Methods for Identifying and Testing Heterogeneous Treatment Effects in One or a Pair of Studies — Topic Contributed Papers
Health Policy Statistics Section, Social Statistics Section, Section on Statistics in Epidemiology
Organizer(s): Amelia M Haviland, Carnegie Mellon University - Heinz College
Chair(s): Amelia M Haviland, Carnegie Mellon University - Heinz College
4:05 PM Inference for the Smoothed Proportion Whose Average Treatment Effect Exceeds a Threshold
Presentation
Jonathan Levy
4:25 PM Proposing and Testing Sub-Groups with Heterogeneous Treatment Effects: a Sequence of Two Studies
Presentation
Rahul Ladhania, Carnegie Mellon University; Amelia M Haviland, Carnegie Mellon University - Heinz College; Neeraj Sood, University of Southern California; Ateev Mehrotra, Harvard Medical School
4:45 PM Discovering Heterogeneous Exposure Effects in Air Pollution Studies
Presentation
Kwonsang Lee, Harvard University; Dylan Small, University of Pennsylvania; Francesca Dominici, Harvard T.H. Chan School of Public Health
5:05 PM Best Practices for Detecting Treatment Effect Heterogeneity in Multisite Trials
Presentation
Luke Miratrix, Harvard University
5:25 PM Floor Discussion
 
 

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

83
Sun, 7/28/2019, 4:00 PM - 5:50 PM CC-302
Applications in Surveys and Social Science — Contributed Papers
Government Statistics Section, Social Statistics Section
Chair(s): Ashley Clark, Indiana University
4:05 PM Measures of Variance Across CPI Populations
Presentation
Joshua Klick, U.S. Bureau of Labor Statistics; Owen Shoemaker, U.S. Bureau of Labor Statistics
4:20 PM A Multivariate Spatio-Temporal Model of Opioid Overdose Deaths in Ohio
Presentation
Staci Hepler, Wake Forest University; David Kline, The Ohio State University; Lance Waller, Emory University
4:35 PM Adaptive Log-Linear Zero-Inflated Generalized Poisson Autoregressive Model with Applications to Crime Counts Data
Presentation
Xiaofei Xu, National University of Singapore-Faculity of Science; Ying Chen, National University of Singapore; Xian-cheng Lin, University of Science and Technology of China; Cathy W. S. Chen, Feng Chia University, Taichung, Taiwan
4:50 PM Using Paradata to Inform Methodological Improvements to Survey Programs
Presentation
Jeffrey Gonzalez, Bureau of Labor Statistics
5:05 PM Causal Inference for Policy Analysis: When Programs for Some Affect Outcomes for Others
Daniel Wilmoth, U.S. Small Business Administration
5:20 PM Floor Discussion
 
 

218842
Mon, 7/29/2019, 7:00 AM - 8:30 AM H-Sandstone Boardroom
Social Statistics Executive Committee Breakfast — Other Cmte/Business
Social Statistics Section
Chair(s): Trudi Jane Renwick, U.S. Census Bureau
 
 

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

124 * !
Mon, 7/29/2019, 8:30 AM - 10:20 AM CC-503
Implementing the 2018 Standard Occupational Classification System in the Federal Statistical System — Topic Contributed Panel
Social Statistics Section, Government Statistics Section, Business and Economic Statistics Section
Organizer(s): Lynda Laughlin, U.S. Census Bureau
Chair(s): Heide Jackson, U.S. Census Bureau
8:35 AM Implementing the 2018 Standard Occupational Classification System in the Federal Statistical System
Presentation 1 Presentation 2 Presentation 3
Panelists: Lynda Laughlin, U.S. Census Bureau
Laurie Salmon, Bureau of Labor Statistics
Kerrie Leslie
Stella Fayer, Bureau of Labor Statistics
10:10 AM Floor Discussion
 
 

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

Register 207
Mon, 7/29/2019, 12:30 PM - 1:50 PM H-Centennial Ballroom G-H
Social Statistics Section P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Social Statistics Section
Organizer(s): Antje Kirchner, RTI International
ML18: Creating a Home for Social Scientists Within ASA
Paul Beatty, U.S. Census Bureau; Stephanie Eckman, RTI International
 
 

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

218843
Mon, 7/29/2019, 5:00 PM - 7:00 PM H-Agate B
Social Statistics Section Business Meeting — Other Cmte/Business
Social Statistics Section
Chair(s): Trudi Jane Renwick, U.S. Census Bureau
 
 

275 * !
Tue, 7/30/2019, 8:30 AM - 10:20 AM CC-106
Improvements to the Current Population Survey Annual Social and Economic Supplement and Implications for Estimates of Income, Poverty, and Health Insurance Coverage — Invited Papers
Social Statistics Section
Organizer(s): Laryssa Mykyta, U.S. Census Bureau
Chair(s): Jonathan L. Rothbaum, U.S. Census Bureau
8:35 AM Processing Changes to the Current Population Survey Annual Social and Economic Supplement
Presentation
Jonathan L. Rothbaum, U.S. Census Bureau; Trudi Jane Renwick, U.S. Census Bureau
8:55 AM Changes to the Household Relationship Data in the Current Population Survey
Presentation
Rose Kreider, U.S. Census Bureau; Benjamin Gurrentz, U.S. Census Bureau
9:15 AM Updating the Current Population Survey Processing System and Bridging Differences in the Measurement of Poverty
Presentation
Ashley Edwards, U.S. Census Bureau; John Creamer, U.S. Census Bureau
9:35 AM Health Insurance in the United States: Evaluating the Effects of Changes
Edward Berchick, U.S. Census Bureau; Heide Jackson, U.S. Census Bureau
9:55 AM Discussant: John Czajka, Mathematica Policy Research
10:15 AM Floor Discussion
 
 

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

320 * !
Tue, 7/30/2019, 10:30 AM - 12:20 PM CC-703
Statistical Approaches for Modeling Social Unrests — Invited Papers
Section on Statistics in Defense and National Security, Social Statistics Section, Business and Economic Statistics Section
Organizer(s): Snigdhansu Chatterjee, University of Minnesota
Chair(s): Michael Baron, American University
10:35 AM Predicting Anti-Government Violence in Mexico with Big Data on Citizen-Government Interactions
Presentation
Benjamin E. Bagozzi, University of Delaware; Snigdhansu Chatterjee, University of Minnesota; Ujjal Kumar Mukherjee, University of Illinois
11:00 AM Forecasting Political Instability Using Heterogeneous Data Streams
Presentation
Chrysm Watson Ross, Los Alamos National Laboratory ; Ashlynn Daughton, Los Alamos National Laboratory; Geoffrey Fairchild, Los Alamos National Laboratory ; Sara Del Valle, Los Alamos National Laboratory
11:25 AM Model Fusion with Spatial Partitioning for Forecasting Civil Unrest
Presentation
Andrew Hoegh, Montana State University
11:50 AM Predicting the Supply Chain Impact of National Level Conflicts: a Recursive Neural Network Based Approach
Presentation
Ujjal Kumar Mukherjee, University of Illinois; Benjamin E. Bagozzi, University of Delaware; Snigdhansu Chatterjee, University of Minnesota
12:15 PM Floor Discussion
 
 

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

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

337
Tue, 7/30/2019, 10:30 AM - 12:20 PM CC-502
SPEED: Methodological Developments in Social Statistics, Part 1 — Contributed Speed
Social Statistics Section, Text Analysis Interest Group
Chair(s): Melissa Kovacs, FirstEval, LLC
Poster Presentations for this session.
10:35 AM A Partial Simulation Study of Phantom Effects in Multilevel Analysis of School Effects: The Case of School Socioeconomic Composition
Presentation
Xin Ma, University of Kentucky; Hao Zhou, University of Kentucky
10:40 AM Measuring Impact of Tax Law Changes on CPS ASEC Tax Model
Bruce Webster, US Census Bureau; Kathryn Shantz, U.S. Census Bureau
10:50 AM The Impact of Vocational Rehabilitation Services and Demographic Factors Towards the Successful Employment Outcomes Among Hard-of-Hearing Individuals
Presentation 1 Presentation 2 Presentation 3
Hansapani Rodrigo, University of Texas Rio Grande Valley; Shawn Saladin, Uniuversity of Texas Rio Grande Valley; Sergio Cuevas, Uniuversity of Texas Rio Grande Valley
10:55 AM Implementing Empirical Results of Panel Models with Lagged Dependent Variables and Random Intercepts into Microsimulation
Presentation
Dawid Bekalarczyk; Petra Stein, University of Duisburg-Essen
11:00 AM A Spatial Microsimulation Model of Labor Market Integration in Germany
Presentation
Monika Obersneider, University of Duisburg-Essen; Petra Stein, University of Duisburg-Essen
11:05 AM Patterns of Effects and Sensitivity Analysis for Differences-In-Differences
Presentation
Luke Keele, University of Pennsylvania; Dylan Small, University of Pennsylvania; Colin B. Fogarty, Massachusetts Institute of Technology
11:10 AM Using Statistical and Machine Learning Methods to Analyze Response Time Data from Computer-Based Educational Assessments
Bingchen Liu, Educational Testing Service
11:15 AM Finding the Strength in a Weak Instrument in a Study of Cognitive Outcomes Produced by Catholic High Schools
Presentation
Siyu Heng, University of Pennsylvania; Dylan Small, University of Pennsylvania; Paul Rosenbaum, University of Pennsylvania
11:20 AM Predicting Poverty Using Remote Sensing Vegetation Indices
Grace Deng, Cornell University
11:35 AM Presenting Uncertainty in Graphical Format
Nola du Toit, NORC at the University of Chicago; Edward Mulrow, NORC at the University of Chicago; Christopher du Sousa-Nieves, NORC at the University of Chicago
11:45 AM Framing of Culture War Issues in Congressional Campaign Websites
Presentation
Jack Wolf, St. Olaf College; Christopher Chapp, St. Olaf College; My Khe Nguyen, St. Olaf College; Paul Roback, St. Olaf College; Jessica Whittenburg, St. Olaf College
11:50 AM Data-Driven Community Based Programming: a Statistical Analysis of Heart Disease Prevention Initiatives in Oklahoma City-County
Presentation
Mary Nevener
11:55 AM Confidence Intervals for Marginal Effects and Predictive Margins in Logit Models
Chaitra Nagaraja, Fordham University; Benjamin Cole, Fordham University
12:00 PM Making Data-Driven Decisions About Serving Homeless Populations Using Machine Learning Tools
Austin Lampros
12:05 PM Getting a Clear Picture of Students’ Writing Performance
Ya Mo, Boise State University; NELL Sedransk, NISS
12:10 PM Floor Discussion
 
 

391 * !
Tue, 7/30/2019, 2:00 PM - 3:50 PM CC-106
Leveraging Disparate Sources of Data and Machine Learning to Improve Causal Inference — Topic Contributed Papers
ENAR, Section on Statistical Learning and Data Science, Social Statistics Section
Organizer(s): Johann A Gagnon-Bartsch, University of Michigan; Jann Spiess, Postdoctoral Research, Microsoft Research
Chair(s): Johann A Gagnon-Bartsch, University of Michigan
2:05 PM Transfer Learning for Estimating Causal Effects Using Neural Networks
Soeren Kuenzel; Jasjeet Sekhon, UC Berkeley; Bradly Reinhold Stadie, UC Berkeley; Nikita Vemuri, UC Berkeley
2:25 PM ReLOOP: Precise Unbiased Estimation in Randomized Experiments Using Observational Auxilliary Data
Presentation
Adam Sales, University of Texas At Austin; Johann A Gagnon-Bartsch, University of Michigan; Anthony Botelho, Worcester Polytechnic Institute; Neil T Heffernan, Worcester Polytechnic Institute; Edward Wu, University of Michigan; Luke Miratrix, Harvard University
2:45 PM Machine Learning for Estimating Causal Effects from High-Dimensional Observational Data
Presentation
Fredrik Johansson, MIT
3:05 PM Bayesian Inference for Sample Surveys in the Presence of High-Dimensional Auxiliary Information
Presentation
Yutao Liu, Columbia University; Andrew Gelman, Columbia University; Qixuan Chen, Columbia University
3:25 PM Manipulation Proof Machine Learning
Daniel Bjorkegren, Brown University; Joshua Blumenstock, University of California Berkeley
3:45 PM Floor Discussion
 
 

417
Tue, 7/30/2019, 2:00 PM - 2:45 PM CC-Hall C
SPEED: Methodological Developments in Social Statistics, Part 2 — Contributed Poster Presentations
Social Statistics Section, Text Analysis Interest Group
Chair(s): Wendy Meiring, University of California At Santa Barbara
Oral Presentations for this session.
1: A Partial Simulation Study of Phantom Effects in Multilevel Analysis of School Effects: The Case of School Socioeconomic Composition
Xin Ma, University of Kentucky; Hao Zhou, University of Kentucky
2: Predicting Poverty Using Remote Sensing Vegetation Indices
Grace Deng, Cornell University
4: Presenting Uncertainty in Graphical Format
Nola du Toit, NORC at the University of Chicago; Edward Mulrow, NORC at the University of Chicago; Christopher du Sousa-Nieves, NORC at the University of Chicago
6: Framing of Culture War Issues in Congressional Campaign Websites
Jack Wolf, St. Olaf College; Christopher Chapp, St. Olaf College; My Khe Nguyen, St. Olaf College; Paul Roback, St. Olaf College; Jessica Whittenburg, St. Olaf College
7: Data-Driven Community Based Programming: a Statistical Analysis of Heart Disease Prevention Initiatives in Oklahoma City-County
Mary Nevener
8: Confidence Intervals for Marginal Effects and Predictive Margins in Logit Models
Chaitra Nagaraja, Fordham University; Benjamin Cole, Fordham University
9: Making Data-Driven Decisions About Serving Homeless Populations Using Machine Learning Tools
Austin Lampros
11: Measuring Impact of Tax Law Changes on CPS ASEC Tax Model
Bruce Webster, US Census Bureau; Kathryn Shantz, U.S. Census Bureau
12: Getting a Clear Picture of Students’ Writing Performance
Ya Mo, Boise State University; NELL Sedransk, NISS
14: The Impact of Vocational Rehabilitation Services and Demographic Factors Towards the Successful Employment Outcomes Among Hard-of-Hearing Individuals
Hansapani Rodrigo, University of Texas Rio Grande Valley; Shawn Saladin, Uniuversity of Texas Rio Grande Valley; Sergio Cuevas, Uniuversity of Texas Rio Grande Valley
15: Implementing Empirical Results of Panel Models with Lagged Dependent Variables and Random Intercepts into Microsimulation
Dawid Bekalarczyk; Petra Stein, University of Duisburg-Essen
16: A Spatial Microsimulation Model of Labor Market Integration in Germany
Monika Obersneider, University of Duisburg-Essen; Petra Stein, University of Duisburg-Essen
17: Patterns of Effects and Sensitivity Analysis for Differences-In-Differences
Luke Keele, University of Pennsylvania; Dylan Small, University of Pennsylvania; Colin B. Fogarty, Massachusetts Institute of Technology
18: Using Statistical and Machine Learning Methods to Analyze Response Time Data from Computer-Based Educational Assessments
Bingchen Liu, Educational Testing Service
19: Finding the Strength in a Weak Instrument in a Study of Cognitive Outcomes Produced by Catholic High Schools
Siyu Heng, University of Pennsylvania; Dylan Small, University of Pennsylvania; Paul Rosenbaum, University of Pennsylvania
Oral Presentations for this session.
 
 

422
Tue, 7/30/2019, 2:00 PM - 3:50 PM CC-Hall C
Contributed Poster Presentations: Social Statistics Section — Contributed Poster Presentations
Social Statistics Section
Chair(s): Wendy Meiring, University of California At Santa Barbara
69: Network Models with Unspecified Higher Order Dependence
Stone Chen, University of Auckland
70: Evaluating the Effects of Misspecification in the Symbolic Linear Regression for Interval-Valued Data
Natalia Costa Araujo, University of Georgia; Lynne Billard, University of Georgia
71: Modeling the Occurrence of Terrorist Attacks
Earl Hur, Iowa State Univ; Mark Steven Kaiser, Iowa State University
72: Fear of Death and Its Association with Religion-Related Beliefs
Joshua Kerr, CSU East Bay
73: Sequence Distance Regression for Estimating Covariate Effects on Activity Sequences with an Application to Mobile Sensor Data
Roland Brown, University of Minnesota; Julian Wolfson, University of Minnesota
74: Measuring Polarity from News Sources: a Topic Modeling Approach
Shane Bookhultz, Virginia Tech; Nathan Wycoff, Virginia Tech
 
 

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

475
Wed, 7/31/2019, 8:30 AM - 10:20 AM CC-706
Understanding Threats to People, Data, and Privacy — Contributed Papers
Social Statistics Section, Caucus for Women in Statistics
Chair(s): Lynda Laughlin, U.S. Census Bureau
8:35 AM US Mass Shootings as a Non-Homogeneous Poisson Process
Yew-Meng Koh, Hope College
8:50 AM Classification of US Mass Shooting Incidents
Tyler Gast; Yew-Meng Koh, Hope College
9:05 AM A Study of Spatial Misalignment with an Application to Urban Crime
Claire Kelling; Murali Haran, Penn State University; Corina Graif, Penn State; Aleksandra Slavkovic, Penn State University; Gizem Korkmaz, Social & Decision Analytics Division, BII, UVA
9:20 AM Mapping Opioid Use Trajectories in Vetrans Undergoing Thoracic Surgery via Latent Classes
Michael Bishop, University of Iowa, College of Public Health; Emine Bayman, University of Iowa, Carver College of Medicine
9:35 AM Do Economists Experience the Sense of Justice?
Guillermina Jasso, New York University
9:50 AM Protecting Privacy of Household Panel Data
Shaobo Li, University of Kansas; Matthew Schneider, Drexel University; Yan Yu, University of Cincinnati; Sachin Gupta, Cornell University
10:05 AM A Curious Variation on the Warner Device for Use in Randomized Response
Stephen Sedory, Texas A & M University-Kingsville; Zakry Zapata, Texas A&M University-Kingsville; Sarjinder Singh, Texas A&M University-Kingsville
 
 

486 * !
Wed, 7/31/2019, 10:30 AM - 12:20 PM CC-301
Developing the Methodological Foundations for Replication Sciences — Invited Papers
Social Statistics Section, American Educational Research Association, Statistics and Public Policy
Organizer(s): Vivian Wong, University of Virginia
Chair(s): Vivian Wong, University of Virginia
10:35 AM A Six-Arm Design Replication Study: Design, Results, and Implications
Presentation
Bryan Keller, Columbia
10:55 AM A Causal Replication Framework for Designing and Assessing Replication Efforts
Presentation
Peter Steiner, University of Wisconsin; Vivian Wong, University of Virginia
11:15 AM Studying Replication: Lessons from Applied Statistics and Empirical Research
Presentation
Jacob Schauer, Northwestern University
11:35 AM Discussant: Larry Hedges, Northwestern University
11:55 AM Discussant: Jennifer L Hill, New York University
12:15 PM Floor Discussion
 
 

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

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

580
Wed, 7/31/2019, 2:00 PM - 3:50 PM CC-707
Methodological Developments and Implications for Social Scientists — Contributed Papers
Social Statistics Section
Chair(s): Anthony G. Tersine, U.S. Census Bureau
2:05 PM Did You Conduct a Sensitivity Analysis? a New Weighting-Based Approach for Evaluations of the Average Treatment Effect for the Treated
Presentation
Guanglei Hong, University of Chicago; Fan Yang, University of Colorado Denver; Xu Qin, University of Pittsburgh
2:20 PM The P-LOOP Estimator: Covariate Adjustment in Paired Experiments
Presentation 1 Presentation 2
Edward Wu, University of Michigan; Johann A Gagnon-Bartsch, University of Michigan
2:35 PM Covariate Selection in Small Randomized Studies
Presentation
David Judkins, Abt Associates, Inc.
2:50 PM LOWERING the CRAMER-RAO LOWER BOUND of VARIANCE in RANDOMIZED RESPONSE SAMPLING
Tonghui Xu, Texas A&M University -kingsville; Stephen Sedory, Texas A & M University-Kingsville; Sarjinder Singh, Texas A&M University-Kingsville
3:05 PM Sensitivity Analysis for Causal Mediation Analysis in the Presence of Unmeasured Pretreatment Confounding
Xu Qin, University of Pittsburgh; Fan Yang, University of Colorado Denver
3:20 PM A Review and Update of the Two-Decks of Cards Method in Randomized Response Sampling
Augustus Jayaraj, Cornell University; Oluseun Odumade, Deloitte & Touche LLP; Sarjinder Singh, Texas A&M University-Kingsville
3:35 PM Causal Mediation Analysis Under Partial Compliance in Randomized Trials
Fan Yang, University of Colorado Denver; Guanglei Hong, University of Chicago
 
 

642 * !
Thu, 8/1/2019, 10:30 AM - 12:20 PM CC-106
Advanced Statistical Methods for Large Data Sets — Topic Contributed Papers
Social Statistics Section, International Chinese Statistical Association, Lifetime Data Science Section, Section on Statistical Learning and Data Science
Organizer(s): Xingqiu Zhao, The Hong Kong Polytechnic University
Chair(s): Jianguo Sun, University of Missouri
10:35 AM Distributed Learning with Minimum Error Entropy Principle
Xin Guo, The Hong Kong Polytechnic University; Ting Hu, Wuhan University; Qiang Wu, Middle Tennessee State University
10:55 AM Entropy Learning for Dynamic Treatment Regimes
Presentation
Binyan Jiang
11:15 AM Efficient Fused Learning for Distributed Imbalanced Data
Yuanyuan Lin
11:35 AM Penalized Interaction Estimation for Ultrahigh Dimensional Quadratic Regression
Cheng Wang, Shanghai Jiao Tong University
11:55 AM Penalized Generalized Empirical Likelihood with a Diverging Number of General Estimating Equations for Censored Data
Presentation
Xingqiu Zhao, The Hong Kong Polytechnic University; Niansheng Tang, Yunnan University; Xiaodong Yan, Shandong University
12:15 PM Floor Discussion
 
 

647 * !
Thu, 8/1/2019, 10:30 AM - 12:20 PM CC-507
Statistical Advances in Population Research in the Developing World — Topic Contributed Papers
Government Statistics Section, Section on Statistics in Epidemiology, Social Statistics Section
Organizer(s): Zehang Richard Li, Yale University
Chair(s): Zehang Richard Li, Yale University
10:35 AM Assessing Data Contribution for Estimation of HIV Epidemics
Presentation
Le Bao, Pennsylvania State University; Xiaoyue Niu, Penn State University; Jacob Parsons, Penn State University
10:55 AM Using Social Networks to Estimate Adult Mortality in the Developing World
Dennis Feehan, Univ of California - Berkeley; Matthew J. Salganik, Princeton University
11:15 AM The Learn as You Go Design for Rigorous Quantitative Adaptation of Multi-Component Intervention Packages in Global Public Health
Donna Spiegelman, Yale School of Public Health; Judith Lok, Boston University, Dept of Mathematics and Statistics; Daniel Nevo, Tel Aviv University
11:35 AM The Convergence of Data Science and Data Poverty
Rumi Chunara, New York University
11:55 AM Floor Discussion