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Legend:
CC = Vancouver Convention Centre   F = Fairmont Waterfront Vancouver
* = applied session       ! = JSM meeting theme

Activity Details


4 *
Sun, 7/29/2018, 2:00 PM - 3:50 PM CC-East 16
Transparency, Reproducibility and Replicability in Work with Social and Economic Data — Invited Papers
Government Statistics Section, Social Statistics Section, Survey Research Methods Section, Section on Statistical Computing
Organizer(s): Mike L. Cohen, Committee on National Statistics
Chair(s): Mike L. Cohen, Committee on National Statistics
2:05 PM Framing Reproducibility Issues in Computationally- and Data-Enabled Research?
Victoria Stodden, University of Illinois
2:30 PM Transparency, Reproducibility, and Replicability
Margaret Levenstein, Inter-university Consortium for Political and Social Research
2:55 PM Enhancement of Transparency, Reproducibility, and Replicability in the Integration of Multiple Data Sources
Presentation 1 Presentation 2
John L. Eltinge, United States Census Bureau
3:20 PM Discussant: Emilda Rivers, National Center for Science and Engineering Statistics, NSF
3:45 PM Floor Discussion
 
 

25 *
Sun, 7/29/2018, 2:00 PM - 3:50 PM CC-East 14
Recent Research on Current Population Survey — Topic Contributed Papers
Survey Research Methods Section, Government Statistics Section, Social Statistics Section
Organizer(s): Yang Cheng, US Census Bureau
Chair(s): Stephen Ash, US Census Bureau
2:05 PM Optimal AK Composite Estimators in Current Population Survey
Presentation
Yang Cheng, US Census Bureau; Jun Shao, University of Wisconsin; Yu Zhou, East China Normal University
2:25 PM Understanding Variance Estimator Bias in Stratified Two-Stage Sampling
Presentation 1 Presentation 2
Khoa Dong, U.S. Census Bureau; Timothy Trudell, US Census Bureau; Yang Cheng, US Census Bureau; Eric Slud, U.S. Census Bureau
2:45 PM Domain Estimation and Successive Difference Replication
Presentation
Timothy Trudell, US Census Bureau; Khoa Dong, U.S. Census Bureau; Yang Cheng, US Census Bureau; Eric Slud, U.S. Census Bureau
3:05 PM Current Population Survey State GVFs and Design Effects
Presentation
Tamara Zimmerman, Bureau of Labor Statistics; Edwin Robison, Bureau of Labor Statistics
3:25 PM Discussant: Snigdhansu Chatterjee, University of Minnesota
3:45 PM Floor Discussion
 
 

53
Sun, 7/29/2018, 4:00 PM - 5:50 PM CC-West 120
Statistics and the Practice of Forensics — Invited Papers
Advisory Committee on Forensic Science, Committee on Law and Justice Statistics, Government Statistics Section
Organizer(s): Guillermo Basulto-Elias, Iowa State University
Chair(s): Alicia Carriquiry, Iowa State University
4:05 PM An Absolute Certainty: The General Scientific Community's Critical Role in Ensuring Justice
Presentation
Peter Neufeld, Innocence Project
4:30 PM The Importance of Statistics in Distinguishing Opinion, Relevance, and Demonstrably Sufficient Science
Presentation
Karen Kafadar, University of Virginia
4:55 PM Validating Science in an Open-Source Approach to Forensic Statistics: Algorithms, Data and Results
Heike Hofmann, Iowa State University
5:20 PM Track Forensic Science Reform from a Journalist's Perspective
Spencer S Hsu, The Washington Post
5:45 PM Floor Discussion
 
 

54
Sun, 7/29/2018, 4:00 PM - 5:50 PM CC-West Ballroom A
The Good, the Bad, and the Ugly: The Future of Statistics and the Public — Invited Panel
International Statistical Institute, Government Statistics Section, Social Statistics Section, Survey Research Methods Section, SSC, Social Statistics Section, Caucus for Women in Statistics
Organizer(s): John Bailer, Miami University; Regina Nuzzo, Gallaudet University; Liberty Vittert, University of Glasgow
Chair(s): Liberty Vittert, University of Glasgow
4:05 PM The Good, the Bad, and the Ugly: The Future of Statistics and the Public
Presentation 1 Presentation 2
Panelists: David Spiegelhalter, Royal Statistical Society
Richard Coffin, USAFacts
Mark Hansen, Columbia University & David and Helen Gurley Brown Institute for Media Innovation
Scott Tranter, 0ptimus Consulting
Rita Ko, The Hive, data initiative of UNHCR (UN Refugee Agency)
5:40 PM Floor Discussion
 
 

58 * !
Sun, 7/29/2018, 4:00 PM - 5:50 PM CC-East 19
Leading the Dance with Dirty Data — Topic Contributed Papers
Government Statistics Section
Organizer(s): Darcy Miller, National Agricultural Statistics Service
Chair(s): Andreea Erciulescu, National Institute of Statistical Sciences
4:05 PM Dancing with the Software: Selecting Your Imputation Partner
Andrew Dau, USDA/NASS; Darcy Miller, National Agricultural Statistics Service
4:25 PM Dancing with a New Partner: Imputing New Demographic Questions on the Census of Agriculture Using COTS Software
Presentation
Darcy Miller, National Agricultural Statistics Service; Virginia Harris, National Agricultural Statistics Service; Jeff Beranek, National Agricultural Statistics Service; Steve Logan, National Agricultural Statistics Service
4:45 PM Multiple Imputation of Missing Income Data for the Redesigned National Health Interview Survey
Guangyu Zhang, National Center for Health Statistics; Yulei He, CDC/NCHS; Pavlina Rumcheva, National Center for Health Statistics ; Aaron Maitland, National Center for Health Statistics ; Suresh Srinivasan, National Center for Health Statistics ; Alain Moluh, NCHS; Matthew Bramlett, NCHS; Chris Moriarity, National Center for Health Statistics; Tina Norris, NCHS
5:05 PM Discussant: Phil Kott, RTI
5:25 PM Floor Discussion
 
 

76 !
Sun, 7/29/2018, 4:00 PM - 5:50 PM CC-East 17
Paradata for Adaptive Survey Designs and Other Applications — Contributed Papers
Government Statistics Section, Survey Research Methods Section
Chair(s): Darcy Steeg Morris, U.S. Census Bureau
4:05 PM A Non-Response and Measurement Error Analysis for the National Survey of College Graduates
Presentation
Kayla Varela, U.S. Census Bureau; Allison Zotti, U.S. Census Bureau; Kevin Tolliver, U.S. Census Bureau; Amanda Nagle, U.S. Census Bureau
4:20 PM Implementation of Adaptive Design on the Medicare Current Beneficiary Survey
Christopher Ward, NORC at the University of Chicago; Felicia LeClere, NORC at the University of Chicago; Kari Carris, NORC at the University of Chicago; Stephen Cohen, NORC at the University of Chicago; Dean Resnick, NORC; Micah Sjoblom, NORC at the University of Chicago; Jennifer Vanicek, NORC at the University of Chicago; Ying Li, NORC at the University of Chicago
4:35 PM Adaptive Design in the National Immunization Survey-Teen Provider Record Check Phase
Xian Tao, NORC at the University of Chicago; Megha Revanam, NORC at the University of Chicago; Benjamin Skalland, NORC at the University of Chicago; Kirk Wolter, NORC at the University of Chicago; David Yankey, Centers for Disease Control and Prevention; Zhen Zhao, CDC; Kennon Copeland, NORC at the University of Chicago
4:50 PM Developing Seamless Tools to Support Metrics for Adaptive Survey Designs
Presentation 1 Presentation 2
Stephen Cohen, NORC at the University of Chicago; Imad Lakhal, NORC; Zachary H Seeskin, NORC at the University of Chicago; Dean Resnick, NORC
5:05 PM Side Effect Reduction of Prior and Processed Information on Survey Design
Abdellatif Demnati, Independent Researcher
5:20 PM An Approach to Predict Final Yield Among Interim Cases
Presentation
Rui Jiao, Westat; Andrea Piesse, Westat
5:35 PM They Spoke, We Listened: Reducing Respondent Burden Using Previously Reported Data
Emilola J. Abayomi, USDA National Agriculture Statistics Service
 
 

97 * !
Mon, 7/30/2018, 8:30 AM - 10:20 AM CC-West 306
Ethical Implication of the Failure of Anonymization — Invited Papers
Committee on Professional Ethics, Committee on Privacy and Confidentiality, Survey Research Methods Section, Government Statistics Section
Organizer(s): Howard Hogan, U. S. Census Bureau
Chair(s): Rochelle Tractenberg, Georgetown University
8:35 AM Staring Down the Database Reconstruction Theorem
Presentation
John M Abowd, U.S. Census Bureau
9:00 AM Statistical De-Identification: An Industry View
Presentation
Theodore Lystig, Medtronic
9:25 AM The Risk of Re-Identification: An Official Statistics Perspective
Presentation
Stephen John Penneck, International Statistical Institute
9:50 AM Discussant: Marcia Levenstein, Pfizer (ret)
10:15 AM Floor Discussion
 
 

119
Mon, 7/30/2018, 8:30 AM - 10:20 AM CC-West 213
SPEED: Government and Health Policy — Contributed Speed
Health Policy Statistics Section, Government Statistics Section, Section on Statistical Learning and Data Science, Section on Teaching of Statistics in the Health Sciences, Section for Statistical Programmers and Analysts
Chair(s): Mojca Bavdaz, University of Ljubljana
Poster Presentations for this session.
8:35 AM DataSifter: Statistical Obfuscation of Electronic Health Record and Other Sensitive Data Sets
Nina Zhou, University of Michigan; Simeone Marino, Statistics Online Computational Resource, University of Michigan; Lu Wang, University of Michigan; Yiwang Zhou, University of Michigan; Ivo Dinov, Statistics Online Computational Resource, University of Michigan
8:40 AM Deep Learning on Small Data - Experiences in Transfer Learning for Healthcare
Presentation
Dennis Murphree
8:45 AM Doing More with Less - Eliminating the Long Survey Forms from the Occupational Employment Statistics Survey
Presentation
Carrie K. Jones, US Bureau of Labor Statistics
9:00 AM Statistically Supporting Health Policy Decision-Making
Presentation
Frank Yoon, IBM Watson Health
9:05 AM Intravenous Fluid Treatments for Ebola Patients: The Risk and the Reward
Presentation
Derrick Yam, Brown University; Tao Liu, Brown University; Adam Levine, Brown University; Adam Aluisio, Brown University; Shiromi Peters, International Medical Corps; Suzanne Averill, International Medical Corps; Stephen Kennedy, Ministry of Health, Liberia; Fodey Sahr, Sierra Leone Ministry of Defence; Jillian Peters, Brown University; Daniel Cho, Brown University
9:10 AM Comparison of Methods for Predicting High-Cost Patients Captured Within the Oncology Care Model (OCM): a Simulation Study
Presentation 1 Presentation 2
Jung-Yi Lin, Icahn School of Medicine at Mount Sinai; Wei Zhang, UALR; Mark Liu, Mount Sinai Health System; Mark Sanderson, Mount Sinai Health System; Luis Isola, Mount Sinai Health System; Madhu Mazumdar, Icahn School of Medicine at Mount Sinai; Liangyuan Hu, Icahn School of Medicine at Mount Sinai
9:15 AM Intervening on the Data to Improve the Performance of Health Plan Payment Methods
Presentation
Savannah Bergquist, Harvard University; Tim Layton, Harvard Medical School; Tom McGuire, Harvard Medical School; Sherri Rose, Harvard Medical School
9:20 AM Developing and Evaluating Methods for Estimating Race/Ethnicity in an Incomplete Dataset Using Address, Surname and Family Race
Presentation
Gabriella Christine Silva, Brown University; Roee Gutman, Brown University
9:30 AM Can Post-Stratification Weighting Eliminate the Need for Additional Weights Adjustments?
Chrishelle Lawrence, U.S. Energy Information Administration
9:35 AM Open Data Sharing and Its Statistical Limitations
Presentation
Pooja Iyer, RTI International; Barbara Do, RTI International
9:40 AM Predictors of Hospitalization During a Medicare Skilled Nursing Facility Stay
Presentation
Fei Han, The Hilltop Institute; Ian Stockwell, The Hilltop Institute
9:45 AM Comparison of Treatment Policies Using Bayesian Nonparametric G-Formula
Presentation
Yizhen Xu, Brown University; Tao Liu, Brown University; Rami Kantor, Brown University; Joseph W Hogan, Brown University School of Public Health
9:50 AM Optimal Matching Approaches in Health Policy Evaluations Under Rolling Enrollment
Presentation
Jonathan Gellar, Mathematica Policy Research; Jiaqi Li, Mathematica Policy Research; Lauren Vollmer, Mathematica Policy Research
9:55 AM Assessing Health Care Interventions via an Interrupted Time Series Model: Study Power and Design Considerations
Presentation
Maricela Cruz, University of California, Irvine; Miriam Bender, University of California, Irvine; Daniel L. Gillen, University of California, Irvine; Hernando Ombao, King Abdullah University of Science and Technology
10:00 AM Absence of Evidence Is Not Evidence of Absence: a Better Parallel Trends Test
Presentation
Alyssa Bilinski, Harvard Graduate School of Arts and Sciences; Laura Hatfield, Harvard Medical School
10:05 AM New Applications of Machine Learning to Estimating Large Physician Demand Models
Presentation
Bryan Sayer, Social & Scientific Systems, Inc.; William Encinosa, Agency for Health Care Quality and Research
10:10 AM On Utilizing Published Prevalence Estimates to Perform Difference-In-Difference Tests: Testing the Impact of Recreational Marijuana Laws
Presentation
Christine Mauro, Columbia University; Chen Chen, New York State Psychiatric Institute; Silvia Martins, Columbia University; Magda Cerdá, University of California, Davis; Melanie M. Wall, Columbia University
10:15 AM Community Detection with Dependent Connectivity
Yubai Yuan, University of Illinois at Urbana-Champaign; Annie Qu, University of Illinois at Urbana-Champaign
 
 

121
Mon, 7/30/2018, 8:30 AM - 10:20 AM CC-West 212
SPEED: Data Expo — Contributed Speed
Section on Statistical Computing, Section on Statistical Graphics, Government Statistics Section, Section on Statistics and the Environment, Caucus for Women in Statistics
Chair(s): Wendy L Martinez, Bureau of Labor Statistics
Poster Presentations for this session.
8:35 AM Let's Talk About the Weather
Presentation
Jill Lundell, Utah State University; Brennan Bean, Utah State University; Juergen Symanzik, Utah State University
8:40 AM Modeling and Mapping Weather Forecast Accuracy
Queen Ikhelowa; Darren Keeley, CSUEB
8:45 AM Exploring Population Health with Fluctuations in Weather
Presentation
Brian Hochrein, IBM Watson Health
8:50 AM Assessing Prediction Error in Traditional Weather Forecasts vs. a Data-Centric Approach
Presentation
Robert Garrett, Miami University; Ryan Estep, Miami University; Nichole Rook, Miami University; Benjamin William Schweitzer, Miami University; Thomas Fisher, Miami University
8:55 AM Verification, Diagnosis, and Adjustment of Current Temperature Forecasting System in the United States
Han-Yueh Lee, National Tsing Hua University; Hsiao-Ting Lin, National Tsing Hua University
9:00 AM Spatial Correlation in Weather Forecast Accuracy: A Functional Time Series Approach
Phillip Alexander Jang, Cornell University
9:05 AM Should You Pay Attention to Daily Weather Forecast? An Exploration
Presentation
Dooti Roy, Boehringer Ingelheim Pharmaceuticals Inc.; Gregory Vaughan, Bentley University; Jianan Hui, Boehringer Ingelheim Pharmaceuticals Inc.; Junxian Geng, Boehringer Ingelheim Pharmaceuticals Inc.
9:10 AM The Impact of Bias and Uncertainty of Weather Forecasts on Storm Events
Presentation
Mary Frances Dorn, Los Alamos National Laboratory; Kimberly Kaufeld, Los Alamos National Laboratory
9:15 AM Uncertainty Quantification of Weather Forecasts
Yu Wang, University of British Columbia; Gong Zhang, University of British Columbia; Boyi Hu, University of British Columbia; Ho Yin Ho, University of British Columbia
9:20 AM Weather Forecasts: How Reliable Are They?
Presentation
Xuemao Zhang, East Stroudsburg University
9:30 AM An Analysis on the Accuracy of Weather Forecasts
Presentation
Benjamin William Schweitzer, Miami University; Nichole Rook, Miami University; Ryan Estep, Miami University; Robert Garrett, Miami University; Thomas Fisher, Miami University
9:35 AM Do I Really Need a Jacket?
Presentation
Joe Watson, UBC; Qiong Zhang, UBC; Daniel Dinsdale, The University of British Columbia
9:40 AM The Myths About Weather Forecasting
Presentation
Yifan Wu, Simon Fraser University; Ying (Daisy) Yu, Simon Fraser University; Chuyuan (Cherlane) Lin, Simon Fraser University
9:45 AM Do I Need to Check the Weather Forecast, or Is Yesterday's Weather a Reasonable Prediction?
Presentation
Rachel Harter, RTI International; Kayla Nowak, RTI International; Nicole Mack, RTI International
9:50 AM BENCHMARKING the EFFECTIVENESS of CATEGORICAL RESPONSE VARIABLE MODELS and THEIR VISUALIZATIONS on WEATHER DATA
Kristen Bystrom; Zhi Yuh Ou Yang, Simon Fraser University; Lei Chen, Simon Fraser University
9:55 AM Analysis of Weather Forecasting Data for Data Expo 2018
Presentation
Jordan Rodu, University of Virginia
10:00 AM Exploring Spatiotemporal Patterns in Forecast Data
Presentation
Erin Howard, Oregon State University; Matthew Higham
 
 

130 !
Mon, 7/30/2018, 8:30 AM - 10:20 AM CC-West 114
Time Series Data, Trend Analysis, and Repeated Measures — Contributed Papers
Government Statistics Section
Chair(s): Marilyn Seastrom, US Department of Education
8:35 AM Anticipating Brexit Effects; a Multivariate Approach to Detecting Change Points
Presentation
Charlotte Gaughan, Office for National Statistics
8:50 AM NCHS Guidelines for Analysis of Trends
Presentation
Xianfen Li, National Center for Health Statistics/CDC; Deborah Ingram, National Center for Health Statistics/CDC
9:05 AM Demographic Turning Points for the United States: Population Projections 2020 to 2060
Presentation
Jonathan Vespa, US Census Bureau
9:20 AM Repeated Measurement of a Criminal Risk Assessment on Individuals Over Time
Presentation
David Schwager, Multnomah County DCJ
9:35 AM Use of National Syndromic Surveillance Data to Monitor Weekly Lyme Disease Activity in Four US Regions
Hong Zhou, CDC; Michael Coletta, CDC; Howard Burkom, Johns Hopkins Applied Physics Laboratory; Aaron Kite Powell, CDC; Ruth Jajosky, CDC; Tara Strine, CDC
9:50 AM Pseduolikelihood for Clustered Time-To-Event Outcomes from Complex Surveys
Presentation
Jing Wang
10:05 AM Floor Discussion
 
 

148 *
Mon, 7/30/2018, 10:30 AM - 12:20 PM CC-West 118
Administrative Records for Survey Methodology and Evidence Building — Invited Panel
Survey Research Methods Section, Government Statistics Section, Social Statistics Section
Organizer(s): Asaph Young Chun, US Census Bureau
Chair(s): Rochelle Martinez, Office of Management and Budget
10:35 AM Administrative Records for Survey Methodology and Evidence Building
Presentation 1 Presentation 2 Presentation 3
Panelists: Asaph Young Chun, US Census Bureau
Bruce Meyer, University of Chicago
Paul Biemer, RTI Internatinoal
12:10 PM Floor Discussion
 
 

155 * !
Mon, 7/30/2018, 10:30 AM - 12:20 PM CC-West 203
Implementing Research-Based Recommendations in Ongoing Programs — Topic Contributed Papers
Government Statistics Section, Survey Research Methods Section
Organizer(s): Katherine J Thompson, U.S. Census Bureau
Chair(s): Brian Monsell, U.S. Census Bureau
10:35 AM Challenges in Implementing a New Imputation Method into Production in the 2017 Economic Census or What to Do When the Research Approach Oversimplifies the Problem
Presentation
Katherine J Thompson, U.S. Census Bureau; Willam Davie Jr., U.S. Census Bureau; Matthew Thompson, U.S. Census Bureau; Scot Dahl, U.S. Census Bureau
10:55 AM Variance Estimation for Product Sales in the 2017 Economic Census: Challenges in Implementing Multiple Imputation-Based Variance Estimation
Matthew Thompson, U.S. Census Bureau; Katherine J Thompson, U.S. Census Bureau
11:15 AM Statistically Integrated Publication System for the Economic Census Synthetic Microdata
Presentation
Hang Joon Kim, University of Cincinnati; Katherine J Thompson, U.S. Census Bureau
11:35 AM Model-Assisted Regression Tree Estimator in the Occupational Employment Statistics Survey
Presentation
Daniell Toth, Bureau of Labor Statistics; Kelly McConville, Swarthmore College
11:55 AM Discussant: Wesley Yung, Statistics Canada
12:15 PM Floor Discussion
 
 

197
Mon, 7/30/2018, 10:30 AM - 11:15 AM CC-West Hall B
SPEED: Government and Health Policy — Contributed Poster Presentations
Health Policy Statistics Section, Government Statistics Section, Section on Statistical Learning and Data Science, Section on Teaching of Statistics in the Health Sciences, Section for Statistical Programmers and Analysts
Chair(s): Paul McNicholas, McMaster University
Oral Presentations for this session.
21: DataSifter: Statistical Obfuscation of Electronic Health Record and Other Sensitive Data Sets
Nina Zhou, University of Michigan; Simeone Marino, Statistics Online Computational Resource, University of Michigan; Lu Wang, University of Michigan; Yiwang Zhou, University of Michigan; Ivo Dinov, Statistics Online Computational Resource, University of Michigan
22: Deep Learning on Small Data - Experiences in Transfer Learning for Healthcare
Dennis Murphree
23: Doing More with Less - Eliminating the Long Survey Forms from the Occupational Employment Statistics Survey
Carrie K. Jones, US Bureau of Labor Statistics
26: Statistically Supporting Health Policy Decision-Making
Frank Yoon, IBM Watson Health
27: Intravenous Fluid Treatments for Ebola Patients: The Risk and the Reward
Derrick Yam, Brown University; Tao Liu, Brown University; Adam Levine, Brown University; Adam Aluisio, Brown University; Shiromi Peters, International Medical Corps; Suzanne Averill, International Medical Corps; Stephen Kennedy, Ministry of Health, Liberia; Fodey Sahr, Sierra Leone Ministry of Defence; Jillian Peters, Brown University; Daniel Cho, Brown University
28: Comparison of Methods for Predicting High-Cost Patients Captured Within the Oncology Care Model (OCM): a Simulation Study
Jung-Yi Lin, Icahn School of Medicine at Mount Sinai; Wei Zhang, UALR; Mark Liu, Mount Sinai Health System; Mark Sanderson, Mount Sinai Health System; Luis Isola, Mount Sinai Health System; Madhu Mazumdar, Icahn School of Medicine at Mount Sinai; Liangyuan Hu, Icahn School of Medicine at Mount Sinai
29: Intervening on the Data to Improve the Performance of Health Plan Payment Methods
Savannah Bergquist, Harvard University; Tim Layton, Harvard Medical School; Tom McGuire, Harvard Medical School; Sherri Rose, Harvard Medical School
30: Developing and Evaluating Methods for Estimating Race/Ethnicity in an Incomplete Dataset Using Address, Surname and Family Race
Gabriella Christine Silva, Brown University; Roee Gutman, Brown University
31: Can Post-Stratification Weighting Eliminate the Need for Additional Weights Adjustments?
Chrishelle Lawrence, U.S. Energy Information Administration
32: Open Data Sharing and Its Statistical Limitations
Pooja Iyer, RTI International; Barbara Do, RTI International
33: Predictors of Hospitalization During a Medicare Skilled Nursing Facility Stay
Fei Han, The Hilltop Institute; Ian Stockwell, The Hilltop Institute
34: Comparison of Treatment Policies Using Bayesian Nonparametric G-Formula
Yizhen Xu, Brown University; Tao Liu, Brown University; Rami Kantor, Brown University; Joseph W Hogan, Brown University School of Public Health
35: Optimal Matching Approaches in Health Policy Evaluations Under Rolling Enrollment
Jonathan Gellar, Mathematica Policy Research; Jiaqi Li, Mathematica Policy Research; Lauren Vollmer, Mathematica Policy Research
36: Assessing Health Care Interventions via an Interrupted Time Series Model: Study Power and Design Considerations
Maricela Cruz, University of California, Irvine; Miriam Bender, University of California, Irvine; Daniel L. Gillen, University of California, Irvine; Hernando Ombao, King Abdullah University of Science and Technology
37: Absence of Evidence Is Not Evidence of Absence: a Better Parallel Trends Test
Alyssa Bilinski, Harvard Graduate School of Arts and Sciences; Laura Hatfield, Harvard Medical School
38: New Applications of Machine Learning to Estimating Large Physician Demand Models
Bryan Sayer, Social & Scientific Systems, Inc.; William Encinosa, Agency for Health Care Quality and Research
39: On Utilizing Published Prevalence Estimates to Perform Difference-In-Difference Tests: Testing the Impact of Recreational Marijuana Laws
Christine Mauro, Columbia University; Chen Chen, New York State Psychiatric Institute; Silvia Martins, Columbia University; Magda Cerdá, University of California, Davis; Melanie M. Wall, Columbia University
40: Community Detection with Dependent Connectivity
Yubai Yuan, University of Illinois at Urbana-Champaign; Annie Qu, University of Illinois at Urbana-Champaign
Oral Presentations for this session.
 
 

199
Mon, 7/30/2018, 11:35 AM - 12:20 PM CC-West Hall B
SPEED: Data Expo — Contributed Poster Presentations
Section on Statistical Computing, Section on Statistical Graphics, Government Statistics Section, Section on Statistics and the Environment
Chair(s): Paul McNicholas, McMaster University
Oral Presentations for this session.
21: Let's Talk About the Weather
Jill Lundell, Utah State University; Brennan Bean, Utah State University; Juergen Symanzik, Utah State University
22: Modeling and Mapping Weather Forecast Accuracy
Queen Ikhelowa; Darren Keeley, CSUEB
23: Exploring Population Health with Fluctuations in Weather
Brian Hochrein, IBM Watson Health
24: Assessing Prediction Error in Traditional Weather Forecasts vs. a Data-Centric Approach
Robert Garrett, Miami University; Ryan Estep, Miami University; Nichole Rook, Miami University; Benjamin William Schweitzer, Miami University; Thomas Fisher, Miami University
25: Verification, Diagnosis, and Adjustment of Current Temperature Forecasting System in the United States
Han-Yueh Lee, National Tsing Hua University; Hsiao-Ting Lin, National Tsing Hua University
26: Spatial Correlation in Weather Forecast Accuracy: A Functional Time Series Approach
Phillip Alexander Jang, Cornell University
27: Should You Pay Attention to Daily Weather Forecast? An Exploration
Dooti Roy, Boehringer Ingelheim Pharmaceuticals Inc.; Gregory Vaughan, Bentley University; Jianan Hui, Boehringer Ingelheim Pharmaceuticals Inc.; Junxian Geng, Boehringer Ingelheim Pharmaceuticals Inc.
28: The Impact of Bias and Uncertainty of Weather Forecasts on Storm Events
Mary Frances Dorn, Los Alamos National Laboratory; Kimberly Kaufeld, Los Alamos National Laboratory
29: Uncertainty Quantification of Weather Forecasts
Yu Wang, University of British Columbia; Gong Zhang, University of British Columbia; Boyi Hu, University of British Columbia; Ho Yin Ho, University of British Columbia
30: Weather Forecasts: How Reliable Are They?
Xuemao Zhang, East Stroudsburg University
31: An Analysis on the Accuracy of Weather Forecasts
Benjamin William Schweitzer, Miami University; Nichole Rook, Miami University; Ryan Estep, Miami University; Robert Garrett, Miami University; Thomas Fisher, Miami University
32: Do I Really Need a Jacket?
Joe Watson, UBC; Qiong Zhang, UBC; Daniel Dinsdale, The University of British Columbia
33: Applying functional data analysis and clustering methods on weather forecast data in the U.S.
Yifan Wu, Simon Fraser University; Ying (Daisy) Yu, Simon Fraser University; Chuyuan (Cherlane) Lin, Simon Fraser University
34: Do I Need to Check the Weather Forecast, or Is Yesterday's Weather a Reasonable Prediction?
Rachel Harter, RTI International; Kayla Nowak, RTI International; Nicole Mack, RTI International
35: BENCHMARKING the EFFECTIVENESS of CATEGORICAL RESPONSE VARIABLE MODELS and THEIR VISUALIZATIONS on WEATHER DATA
Kristen Bystrom; Zhi Yuh Ou Yang, Simon Fraser University; Lei Chen, Simon Fraser University
36: Analysis of Weather Forecasting Data for Data Expo 2018
Jordan Rodu, University of Virginia
37: Exploring Spatiotemporal Patterns in Forecast Data
Erin Howard, Oregon State University; Matthew Higham
Oral Presentations for this session.
 
 

Register 203
Mon, 7/30/2018, 12:30 PM - 1:50 PM CC-West Ballroom D
Government Statistics Section P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Government Statistics Section
Organizer(s): Jeffrey Gonzalez, Bureau of Labor Statistics
ML15: What If We Get a Break in Series? Risk Management in the Integration of Multiple Data Sources
John L. Eltinge, United States Census Bureau
 
 

231 *
Mon, 7/30/2018, 2:00 PM - 3:50 PM CC-West 114
Uses of Alternative Data Sources for Federal Statistics — Topic Contributed Papers
Government Statistics Section, Social Statistics Section
Organizer(s): Zachary H Seeskin, NORC at the University of Chicago
Chair(s): Felicia LeClere, NORC at the University of Chicago
2:05 PM Current Challenges in Linking Federal and State Data for Evidence-Building
Presentation
Robert Goerge, Chapin Hall at the University of Chicago; Leah Gjertson, Chapin Hall at the University of Chicago
2:25 PM Uses of Alternative Data Sources for Public Health Statistics and Policymaking: Challenges and Opportunities
Zachary H Seeskin, NORC at the University of Chicago; Felicia LeClere, NORC at the University of Chicago; Jaehoon Ahn, NORC at the University of Chicago; Joshua Williams, Office of the Assistant Secretary for Planning and Evaluation
2:45 PM Things Fall Apart: Creating Robust Nowcasters for Shifting Ground Truth
Presentation
Margaret Levenstein, Inter-university Consortium for Political and Social Research
3:05 PM Discussant: Yoonsang Kim, NORC at the University of Chicago
3:25 PM Discussant: Mike L. Cohen, Committee on National Statistics
3:45 PM Floor Discussion
 
 

235 *
Mon, 7/30/2018, 2:00 PM - 3:50 PM CC-West 115
Best Student Papers Awarded by the ASA Consortium of GSS/SSS/SRMS — Topic Contributed Papers
Survey Research Methods Section, Government Statistics Section, Social Statistics Section
Organizer(s): Asaph Young Chun, US Census Bureau
Chair(s): Stephanie Ewert Galvin, US Census Bureau
2:05 PM A Classical Regression Framework for Mediation Analysis with Applications to Behavioral Science
Presentation
Christina Saunders
2:25 PM Stochastic Interventions on Continuous Instruments:Estimating the Effects of Visitation on Recidivism
Presentation
Jacqueline A Mauro, Carnegie Mellon University; Edward Kennedy, Carnegie Mellon University; Daniel Nagin, Carnegie Mellon University
2:45 PM Practical Bayesian Inference for Record Linkage
Presentation
Brendan McVeigh, Carnegie Mellon University; Jared S Murray, University of Texas at Austin
3:05 PM Constructing Independent Evidence from Regression and Instrumental Variables with an Application to the Effect of Violent Conflict on Altruism and Risk Preference
Presentation
Bikram Karmakar, University of Pennsylvania; Dylan Small, University of Pennsylvania
3:25 PM Bayesian Model-Assisted Estimation for Functional Data in Survey Sampling
Presentation
Luis Fernando Campos, Harvard University
3:45 PM Floor Discussion
 
 

237
Mon, 7/30/2018, 2:00 PM - 3:50 PM CC-West 208
SPEED: Missing Survey Data: Analysis, Imputation, Design, and Prevention — Contributed Speed
Survey Research Methods Section, Government Statistics Section, Section on Statistics in Defense and National Security
Chair(s): Stas Kolenikov, Abt Associates
Poster Presentations for this session.
2:05 PM Estimating Survey Attrition Phases Using Change-Point Models
Presentation
Camille Hochheimer, Virginia Commonwealth University; Roy T Sabo, Virginia Commonwealth University; Alex H Krist, Virginia Commonwealth University
2:10 PM Census Efforts to Reduce the Undercount of Young Children
Presentation
Gina Walejko, U.S. Census Bureau; Scott Konicki, U.S. Census Bureau
2:15 PM Is There a 'safe Area' Where the Nonresponse Rate Has Only a Modest Effect on Bias Despite Non-Ignorable Nonresponse?
Presentation
Dan Hedlin, Stockholm university
2:20 PM Design-Based Alternative Calibration Weighting Under Nonresponse in Survey Sampling
Presentation
Per Andersson, Stockholm University
2:25 PM A Simulation Study to Evaluate How Sample Weight Adjustment with Prevalence Calibration for the National Health and Nutrition Examination Survey (NHANES) Affects Nonresponse Bias
Te-Ching Chen, CDC/NCHS; Jennifer Parker, CDC/NCHS; Tala Fakhouri, CDC/NCHS
2:30 PM Degrees of Freedom in Multiple Imputation: The Original vs. The Adjusted in 2015 National Hospital Ambulatory Medical Care Survey
Presentation
Qiyuan Pan, CDC/NCHS/DHCS; Rong Wei, National Center for Health Statistics
2:35 PM Nonresponse Bias Studies for Department of Defense Surveys
Presentation
Eric Falk, Department of Defense/Office of People Analytics
2:40 PM Exploring Reminder Calls Intended to Increase Interviewer Compliance with Data Collection Protocols
Presentation
Amanda Nagle, U.S. Census Bureau; Kevin Tolliver, U.S. Census Bureau
2:45 PM Effect of the Survey Name on Response Rates and Survey Estimates
David McGrath, Department of Defense Office of People Analytics
2:50 PM Early Bird Gets the Worm? Effects of Differential Incentives on Mode Choice and Response Rates
Presentation
Patricia LeBaron, RTI International; Nathaniel Taylor, RTI International; Leah Fiacco, RTI International; Melissa Helton, RTI International; Amy Henes, RTI International; Stephen King, RTI International
3:00 PM Nonresponse Bias Analysis for the Medicare Current Beneficiary Survey
Kirk Wolter, NORC at the University of Chicago; Ying Li, NORC at the University of Chicago; Whitney Murphy, NORC at the University of Chicago
3:05 PM Using Predictive Modeling in Survey Methodology to Identify Panel Nonresponse
Presentation
Bernd Weiss, GESIS - Leibniz-Institute for the Social Sciences; Jan-Philipp Kolb, GESIS - Leibniz-Institute for the Social Sciences; Christoph Kern, University of Mannheim
3:10 PM Does Sequence of Imputed Variables Matter in Hot Deck Imputation for Large-Scale Complex Survey Data?
Presentation
Amang Sukasih, RTI International; Peter Frechtel, RTI International; Karol Krotki, RTI International
3:15 PM Tree-Based Doubly-Robust Nonparametric Multiple Imputation
Presentation
Darryl Creel
3:20 PM Multiple Imputation Methods Addressing Planned Missingness in a Multi-Phase Survey
Irina Bondarenko, University of Michigan; Yun Li, University of Michigan; Paul Imbriano, University of Michigan
3:25 PM Outcomes of Suicide Risk Assessment and Safety Planning in a Longitudinal Mixed Mode Survey of Patients with Complex Psychiatric Disorders
Presentation
Danna Moore, Washington State University-Social & Economic Science Research Center; John Fortney, University of Washington, School of Medicine; Dan Vakoch, Washington State Univesity-Social and Economic Sciences Research Center
3:30 PM "You're Not from Around Here, Are You?": How Regional Accent Affects Survey Cooperation
Matt Jans, ICF; James Dayton, ICF; Matt McDonough, ICF
3:35 PM Imputation of Small Number of New Questions in the Large Survey
Di Xiong, UCLA SPH; Yan Wang, Field School of Public Health, UCLA; Honghu Liu, UCLA
 
 

216589
Tue, 7/31/2018, 7:00 AM - 8:30 AM CC-West 113
Government Statistics Section Executive Committee (Closed) — Other Cmte/Business
Government Statistics Section
Chair(s): Marilyn Seastrom, US Department of Education
 
 

282 !
Tue, 7/31/2018, 8:30 AM - 10:20 AM CC-West 211
The Commission on Evidence-Based Policy Making - One Year Later — Invited Panel
Government Statistics Section, Scientific and Public Affairs Advisory Committee, Committee on National Statistics, NAS
Organizer(s): Michael Hawes, U.S. Department of Education
Chair(s): Michael Hawes, U.S. Department of Education
8:35 AM The Commission on Evidence-Based Policy Making - One Year Later
Panelists: Katharine Abraham, University of Maryland
Nancy Potok, Office of Management and Budget
Amy O'Hara, Stanford University
Julia Lane, New York University
10:10 AM Floor Discussion
 
 

298
Tue, 7/31/2018, 8:30 AM - 10:20 AM CC-West 208
SPEED: Innovations in Survey Sampling Designs: Administrative Data, Record Linkage, Non-Probability Samples, and More — Contributed Speed
Survey Research Methods Section, Government Statistics Section, International Statistical Institute
Chair(s): Erin Tanenbaum, NORC at the University of Chicago
Poster Presentations for this session.
8:35 AM Using 100% Medicare Claims Data for Diabetes Surveillance: a Novel Framework
Presentation
Linda Andes, Centers for Disease Control & Prevention
8:40 AM Variance Estimation Under Model-Implied Randomization of Nonrandom Samples
Presentation
Vladislav Beresovsky, National Center for Health Statistics
8:45 AM Addressing Challenges in an International Study with Propensity Scores: a Case Study from Indonesia
Presentation
Susan Edwards, RTI International; Marissa Gargano, RTI International
8:50 AM Bayesian Methods for Stratified Sample Allocation Using Imperfect Information
Presentation
Jonathan Mendelson, University of Maryland; Joe Sedransk, University of Maryland
8:55 AM Are Shoppers Representative of the Population? Using Geofenced Grocery and Convenience Stores to Represent the Population
Davia Moyse, ICF; Matt Jans, ICF; Ronaldo Iachan, ICF; Lee Harding, ICF; Scott Worthge, MFour; James Dayton, ICF; Yangyang Deng, ICF; Tracy Visconti, MFour
9:00 AM NAICS 2017: a New Process Yields Interesting Results
Sania Khan, US Bureau of Labor Statitics; Emily Thomas, US Bureau of Labor Statistics; Sharon S Stang, US Bureau of Labor Statitsics
9:05 AM Combining Probability and Nonprobability Samples for Population Inference
Presentation
Jill A Dever, RTI International
9:10 AM Willingness to Collect Smartphone Sensor Measurements in a Dutch Probability-Based General Population Panel
Presentation
Bella Struminskaya; Vera Toepoel, Utrecht University; Peter Lugtig, Utrecht University; Barry Schouten, CBS
9:15 AM Different Linkage Methods, Same Results? Linking National Center for Health Statistics Survey Data to Centers for Medicare and Medicaid Administrative Records
Cordell Golden, National Center for Health Statistics (NCHS); Adam Fedorowicz, National Center for Health Statistics (NCHS); Lisa B Mirel, National Center for Health Statistics (NCHS)
9:20 AM Sampling from Twitter: Can a Probability Sample Be Drawn to Target Hard to Reach Populations?
Presentation
Marcus Berzofsky, RTI International; Tasseli McKay, RTI International; Patrick Hsieh, RTI International; Amanda Smith, RTI Internatinal; Natasha Latzman, RTI International
9:30 AM Can We Increase Contact Rates and Reduce Costs in a Longitudinal Survey by Including an SMS in the Contact Protocol? Results from an Embedded Experiment
Anton Johansson, Statistics Sweden; Dan Hedlin, Stockholm university
9:35 AM Record Linkage as a Decision Problem
Presentation
Alan Karr, RTI International
9:45 AM Re-Engineered Address Canvassing for the 2018 End-to-End Census Test
Presentation
Matthew Herbstritt
9:50 AM When to Use Commercial Data for Improved Efficiency
Presentation
Edward English, NORC At the University of Chicago; Colm O'Muircheartaigh, NORC at the University of Chicago
9:55 AM Samples, Unite! Understanding the Consequences of Combining Probability and Non-Probability Samples When Linking Records Is Difficult
Presentation
Benjamin Williams, Southern Methodist University
 
 

314
Tue, 7/31/2018, 9:25 AM - 10:10 AM CC-West Hall B
SPEED: Missing Survey Data: Analysis, Imputation, Design, and Prevention — Contributed Poster Presentations
Survey Research Methods Section, Government Statistics Section
Chair(s): Paul McNicholas, McMaster University
Oral Presentations for this session.
1: Estimating Survey Attrition Phases Using Change-Point Models
Camille Hochheimer, Virginia Commonwealth University; Roy T Sabo, Virginia Commonwealth University; Alex H Krist, Virginia Commonwealth University
2: Census Efforts to Reduce the Undercount of Young Children
Gina Walejko, U.S. Census Bureau; Scott Konicki, U.S. Census Bureau
3: Is There a 'safe Area' Where the Nonresponse Rate Has Only a Modest Effect on Bias Despite Non-Ignorable Nonresponse?
Dan Hedlin, Stockholm university
4: Design-Based Alternative Calibration Weighting Under Nonresponse in Survey Sampling
Per Andersson, Stockholm University
5: A Simulation Study to Evaluate How Sample Weight Adjustment with Prevalence Calibration for the National Health and Nutrition Examination Survey (NHANES) Affects Nonresponse Bias
Te-Ching Chen, CDC/NCHS; Jennifer Parker, CDC/NCHS; Tala Fakhouri, CDC/NCHS
6: Degrees of Freedom in Multiple Imputation: The Original vs. The Adjusted in 2015 National Hospital Ambulatory Medical Care Survey
Qiyuan Pan, CDC/NCHS/DHCS; Rong Wei, National Center for Health Statistics
7: Nonresponse Bias Studies for Department of Defense Surveys
Eric Falk, Department of Defense/Office of People Analytics
8: Exploring Reminder Calls Intended to Increase Interviewer Compliance with Data Collection Protocols
Amanda Nagle, U.S. Census Bureau; Kevin Tolliver, U.S. Census Bureau
9: Effect of the Survey Name on Response Rates and Survey Estimates
David McGrath, Department of Defense Office of People Analytics
10: Early Bird Gets the Worm? Effects of Differential Incentives on Mode Choice and Response Rates
Patricia LeBaron, RTI International; Nathaniel Taylor, RTI International; Leah Fiacco, RTI International; Melissa Helton, RTI International; Amy Henes, RTI International; Stephen King, RTI International
11: Nonresponse Bias Analysis for the Medicare Current Beneficiary Survey
Kirk Wolter, NORC at the University of Chicago; Ying Li, NORC at the University of Chicago; Whitney Murphy, NORC at the University of Chicago
12: Using Predictive Modeling in Survey Methodology to Identify Panel Nonresponse
Bernd Weiss, GESIS - Leibniz-Institute for the Social Sciences; Jan-Philipp Kolb, GESIS - Leibniz-Institute for the Social Sciences; Christoph Kern, University of Mannheim
13: Does Sequence of Imputed Variables Matter in Hot Deck Imputation for Large-Scale Complex Survey Data?
Amang Sukasih, RTI International; Peter Frechtel, RTI International; Karol Krotki, RTI International
14: Tree-Based Doubly-Robust Nonparametric Multiple Imputation
Darryl Creel
15: Multiple Imputation Methods Addressing Planned Missingness in a Multi-Phase Survey
Irina Bondarenko, University of Michigan; Yun Li, University of Michigan; Paul Imbriano, University of Michigan
16: Outcomes of Suicide Risk Assessment and Safety Planning in a Longitudinal Mixed Mode Survey of Patients with Complex Psychiatric Disorders
Danna Moore, Washington State University-Social & Economic Science Research Center; John Fortney, University of Washington, School of Medicine; Dan Vakoch, Washington State Univesity-Social and Economic Sciences Research Center
17: "You're Not From Around Here, Are You?" How Regional Accent Affects Survey Cooperation
Matt Jans, ICF; James Dayton, ICF; Matt McDonough, ICF
18: Imputation of Small Number of New Questions in the Large Survey
Di Xiong, UCLA SPH; Yan Wang, Field School of Public Health, UCLA; Honghu Liu, UCLA
Oral Presentations for this session.
 
 

326 * !
Tue, 7/31/2018, 10:30 AM - 12:20 PM CC-West 210
Will Administrative Data Save Government Surveys? — Invited Panel
Social Statistics Section, Government Statistics Section, Survey Research Methods Section
Organizer(s): Jonathan Auerbach, Columbia University
Chair(s): Joseph Salvo, New York City Department of City Planning
10:35 AM Will Administrative Data Save Government Surveys?
Presentation 1 Presentation 2 Presentation 3 Presentation 4
Panelists: John Czajka, Mathematica Policy Research
George C Hough, WA State Office of Financial Management
Eddie Hunsinger, AK Department of Labor and Workforce Development
Quentin Brummet, NORC at the University of Chicago
12:10 PM Floor Discussion
 
 

332 *
Tue, 7/31/2018, 10:30 AM - 12:20 PM CC-West 114
Power of Adaptive Design in Controlling Survey Errors and Costs — Topic Contributed Papers
Government Statistics Section, Survey Research Methods Section
Organizer(s): Asaph Young Chun, US Census Bureau
Chair(s): Asaph Young Chun, US Census Bureau
10:35 AM Fieldwork Monitoring for the European Social Survey: An Illustration with Belgium and the Czech Republic in Round 7
Presentation
Caroline Vandenplas, KU Leuven; Geert Loosveldt, KU Leuven
10:55 AM Dynamic Question Ordering in Online Surveys
Presentation
Kirstin Early, Oath; Jennifer Mankoff, University of Washington; Stephen E. Fienberg, Carnegie Mellon University
11:15 AM A Distance Method for Administrative Record Modeling in the 2020 Census
Presentation
Vincent Mule, U.S. Census Bureau; Andrew Keller, U.S. Census Bureau; Scott Konicki, U.S. Census Bureau; Darcy Steeg Morris, U.S. Census Bureau
11:35 AM Inconsistent Regression and Nonresponse Bias
Peter Lundquist, Statistics Sweden; Carl-Erik Särndal, Statistics Sweden
11:55 AM Floor Discussion
 
 

365
Tue, 7/31/2018, 10:30 AM - 11:15 AM CC-West Hall B
SPEED: Innovations in Survey Sampling Designs: Administrative Data, Record Linkage, Non-Probability Samples, and More — Contributed Poster Presentations
Survey Research Methods Section, Government Statistics Section, International Statistical Institute
Chair(s): Paul McNicholas, McMaster University
Oral Presentations for this session.
1: Using 100% Medicare Claims Data for Diabetes Surveillance: a Novel Framework
Linda Andes, Centers for Disease Control & Prevention
2: Variance Estimation Under Model-Implied Randomization of Nonrandom Samples
Vladislav Beresovsky, National Center for Health Statistics
3: Addressing Challenges in an International Study with Propensity Scores: a Case Study from Indonesia
Susan Edwards, RTI International; Marissa Gargano, RTI International
4: Bayesian Methods for Stratified Sample Allocation Using Imperfect Information
Jonathan Mendelson, University of Maryland; Joe Sedransk, University of Maryland
5: Are Shoppers Representative of the Population? Using Geofenced Grocery and Convenience Stores to Represent the Population
Davia Moyse, ICF; Matt Jans, ICF; Ronaldo Iachan, ICF; Lee Harding, ICF; Scott Worthge, MFour; James Dayton, ICF; Yangyang Deng, ICF; Tracy Visconti, MFour
6: NAICS 2017: a New Process Yields Interesting Results
Sania Khan, US Bureau of Labor Statitics; Emily Thomas, US Bureau of Labor Statistics; Sharon S Stang, US Bureau of Labor Statitsics
7: Combining Probability and Nonprobability Samples for Population Inference
Jill A Dever, RTI International
8: Willingness to Collect Smartphone Sensor Measurements in a Dutch Probability-Based General Population Panel
Bella Struminskaya; Vera Toepoel, Utrecht University; Peter Lugtig, Utrecht University; Barry Schouten, CBS
9: Different Linkage Methods, Same Results? Linking National Center for Health Statistics Survey Data to Centers for Medicare and Medicaid Administrative Records
Cordell Golden, National Center for Health Statistics (NCHS); Adam Fedorowicz, National Center for Health Statistics (NCHS); Lisa B Mirel, National Center for Health Statistics (NCHS)
10: Sampling from Twitter: Can a Probability Sample Be Drawn to Target Hard to Reach Populations?
Marcus Berzofsky, RTI International; Tasseli McKay, RTI International; Patrick Hsieh, RTI International; Amanda Smith, RTI Internatinal; Natasha Latzman, RTI International
11: Can We Increase Contact Rates and Reduce Costs in a Longitudinal Survey by Including an SMS in the Contact Protocol? Results from an Embedded Experiment
Anton Johansson, Statistics Sweden; Dan Hedlin, Stockholm university
12: Record Linkage as a Decision Problem
Alan Karr, RTI International
14: Re-Engineered Address Canvassing for the 2018 End-to-End Census Test
Matthew Herbstritt
15: When to Use Commercial Data for Improved Efficiency
Edward English, NORC At the University of Chicago; Colm O'Muircheartaigh, NORC at the University of Chicago
16: Samples, Unite! Understanding the Consequences of Combining Probability and Non-Probability Samples When Linking Records Is Difficult
Benjamin Williams, Southern Methodist University
Oral Presentations for this session.
 
 

Register 372
Tue, 7/31/2018, 12:30 PM - 1:50 PM CC-West Ballroom D
Government Statistics Section P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Government Statistics Section
Organizer(s): Jeffrey Gonzalez, Bureau of Labor Statistics
TL16: Using the R Package: Recursive Partitioning for Modeling Survey Data (RPMS)
Daniell Toth, Bureau of Labor Statistics
 
 

Register CE_29C
Tue, 7/31/2018, 1:00 PM - 5:00 PM CC-East 13
Applications of Hot Deck Imputation Methods to Survey Data (ADDED FEE) — Professional Development Continuing Education Course
ASA, Government Statistics Section, Survey Research Methods Section
Instructor(s): Rebecca Andridge, The Ohio State University College of Public Health; Katherine J Thompson, U.S. Census Bureau
This continuing education course will provide an introduction to the use of hot deck imputation with survey data. Hot deck imputation is a commonly used procedure for handling missing data in which each missing value (recipient) is replaced with an observed value from a "similar" unit (donor). Each step of hot deck imputation will be explored in this course, from different ways in which to select a donor unit through methods for obtaining valid variance estimates. Classical hot deck methods will be presented alongside more cutting-edge approaches, including fractional hot deck imputation. All steps will be illustrated with simulated and real data examples from both business and household surveys, highlighting the issues unique to different populations. The course will also present some challenges that arise in the implementation of the hot deck, such as having fewer donors than recipients, and discuss various methods for overcoming these challenges. Attendees will be exposed to both the theoretical and practical sides to hot deck imputation, and examples will be illustrated using both SAS and R. Participants should have some familiarity with survey sampling concepts.
1:00 PM Applications of Hot Deck Imputation Methods to Survey Data (ADDED FEE)
Katherine J Thompson, U.S. Census Bureau; Rebecca Andridge, The Ohio State University College of Public Health
 
 

389 *
Tue, 7/31/2018, 2:00 PM - 3:50 PM CC-West 209
Improving Survey Data Quality with Machine Learning Techniques — Invited Papers
Survey Research Methods Section, Social Statistics Section, Government Statistics Section
Organizer(s): Stephanie Eckman, RTI International
Chair(s): Stephanie Eckman, RTI International
2:05 PM Artificial Intelligence (AI)-Enhanced Applications to Survey-Specific Imputation Tasks to Achieve Time and Cost Efficiencies
Presentation
Steven B. Cohen, RTI International
2:20 PM Predicting Panel Drop-Outs with Machine Learning
Presentation
Christoph Kern, University of Mannheim
2:35 PM Dynamic, Personalized Instruments via Responsive Matrix Sampling with High-Dimensional Covariates
Presentation
Sean Taylor, Facebook; Curtiss Cobb, Facebook; Chelsea Zhang, UC Berkeley
2:50 PM A Comparison of Automatic Algorithms for Occupation Coding
Presentation
Malte Schierholz, Institute for Employment Research
3:05 PM The Use of Machine Learning Methods to Improve the US National Resources Inventory Survey
Zhengyuan Zhu, Iowa State University
3:20 PM Discussant: Frauke Kreuter, Joint Program in Survey Methodology
3:35 PM Floor Discussion
 
 

417 * !
Tue, 7/31/2018, 2:00 PM - 3:50 PM CC-West 208
Redesigning Federal Surveys — Contributed Papers
Government Statistics Section, International Statistical Institute, Social Statistics Section
Chair(s): Michael Davern, NORC
2:05 PM Calling All Stakeholders: Developing a Demographic Statistical Redesign Research Agenda
Presentation
Richard Levy, U.S. Census Bureau; Jimmie B Scott, U.S. Census Bureau
2:20 PM An Overview of 2020 Census Design
Robin A Pennington, US Census Bureau; Gina Walejko, U.S. Census Bureau
2:35 PM A Statistical Comparison of Call Volume Uniformity Due to Mailing Strategy
Presentation
Andrew Raim, U.S. Census Bureau; Elizabeth Nichols, U.S. Census Bureau; Thomas Mathew, University of Maryland, Baltimore County
2:50 PM Results from a Test of Online Modes for the Consumer Expenditure Diary Survey
Presentation
Ian Elkin, Bureau of Labor Statistics; Douglas Williams, Westat; Hanyu Sun, Westat
3:05 PM Developing and Testing the Business Research Survey
Presentation
Sharon S Stang, US Bureau of Labor Statitsics; Emily Thomas, US Bureau of Labor Statistics
3:20 PM Application of State Health Status In the Design of the 2011-2014 National Health and Nutrition Examination Survey
Jay Clark, Westat; Leyla Mohadjer, Westat; Te-Ching Chen, National Center for Health Statistics
3:35 PM Leading with Local: The Role of Regional Official Statistics
Presentation
Roeland Beerten, Statistics Flanders
 
 

427
Tue, 7/31/2018, 2:00 PM - 3:50 PM CC-West Hall B
Contributed Poster Presentations:Government Statistics Section — Contributed Poster Presentations
Government Statistics Section
Chair(s): Paul McNicholas, McMaster University
43: Latent Class Analysis with a Calibrated Conditional Independence Assumption
Joseph Kang, Centers for Disease Control & Prevention; Tandin Dorji, Oak Ridge Institute for Science and Education (ORISE)
44: Time Series Reconciliation Through Flexible Least Squares Estimation
Luis Frank, University of Buenos Aires
45: The Effect of Facility Characteristics on VA ICU Patient Outcomes
Amy May Johnson O'Shea, Iowa City VA Health Care System & University of Iowa College of Medicine, Iowa City IA; Spyridon Fortis, Iowa City VA Health Care System & University of Iowa College of Medicine, Iowa City IA; Mary Vaughan Sarrazin, Iowa City VA Health Care System & University of Iowa College of Medicine, Iowa City IA; Jane Moeckli, Iowa City VA Health Care System, Iowa City IA; Heather Schacht Reisinger, Iowa City VA Health Care System & University of Iowa College of Medicine, Iowa City IA
46: New Proposal for Equivalence Criteria in Bioequivalence Study with Binary Clinical Endpoint
Mengdie Yuan, Food and Drug Administration; Jingyu Luan, Food and Drug Administration
47: Sample and Respondent Provided County Comparisons Among Cellular Respondents from the Behavioral Risk Factor Surveillance System
Machell Town, Centers for Disease Control & Prevention; Carol Pierannunzi, Centers for Disease Control and Prevention; Ashley Hyon, Marketing Systems Group; David Malarek, Marketing Systems Group; Jeffrey S. Bareham, Marketing Systems Group; Kelly Lin, Marketing Systems Group
49: Propensity Score Matching in an Evaluation of a Federal Scholarship for Service (SFS) Program
Hannah Acheson-Field, IDA Science and Technology Policy Institute (STPI); Asha Balakrishnan, IDA Science and Technology Policy Institute (STPI); Justin Mary, IDA Science and Technology Policy Institute (STPI); Claire Summers, IDA Science and Technology Policy Institute
50: Consistency of Spectral Clustering in fMRI data
Jessie Moon, FDA
52: Bayesian Estimation with Shrinking Both Means and Variances in Heteroscedastic Nested Error Regression Models
Hiromasa Tamae
53: An Exploration of a Potential Solution to Gerrymandering
Lisa Kay, Eastern Kentucky University; Shane P. Redmond, Eastern Kentucky University
54: How Do We Choose Addresses to Receive a Choice in Response Mode in the First Mailing of the American Community Survey?
Lindsay Longsine, U.S. Census Bureau; Michael Risley, U.S. Census Bureau
 
 

216804
Tue, 7/31/2018, 5:30 PM - 7:00 PM F-Mackenzie I
Government Statistics Section Business Meeting and Reception — Other Cmte/Business
Government Statistics Section
Chair(s): Marilyn Seastrom, US Department of Education
 
 

463 * !
Wed, 8/1/2018, 8:30 AM - 10:20 AM CC-West 206/207
Novel Uses of Text Analysis in Government Agencies — Topic Contributed Papers
Government Statistics Section, Business and Economic Statistics Section, Section on Statistical Learning and Data Science
Organizer(s): Wendy L Martinez, Bureau of Labor Statistics
Chair(s): Terrance Savitsky, Bureau of Labor Statistics
8:35 AM Identifying Misclassifications in Consumer Expenditure Data
Presentation
Clayton Knappenberger, U.S. Bureau of Labor Statistics
8:55 AM Automatically Generating News Release Statements from Structured Data
Brandon Kopp, Bureau of Labor Statistics
9:15 AM The CFR Miner: Natural Language Processing of the Code of Federal Regulations Using R Studio and Shiny
Presentation
Richard Schwinn, U.S. Small Business Administration
9:35 AM Towards Automated Boilerplate Detection
Presentation
Marco Enriquez, US Securities & Exchange Comm
9:55 AM Discussant: E. James Harner, West Virginia University
10:15 AM Floor Discussion
 
 

465 * !
Wed, 8/1/2018, 8:30 AM - 10:20 AM CC-West 204
Probabilistic Record Linkage: Better Assumptions, Scalable Inference, and Accounting for Uncertainty — Topic Contributed Papers
Social Statistics Section, Survey Research Methods Section, Government Statistics Section
Organizer(s): Jared S Murray, University of Texas at Austin
Chair(s): Rebecca Nugent, Carnegie Mellon University
8:35 AM When There Can Be Only One: The Highlander Probability Model for Historical Record Linkage with Labeled Data
Presentation
Jared S Murray, University of Texas at Austin
8:55 AM Incorporating Sociodemographic Transitions and Family Network Structure into Historical Record Linkage
Kayla Frisoli, Carnegie Mellon University; Rebecca Nugent, Carnegie Mellon University; Brendan Murphy, University College Dublin
9:15 AM Improving Probabilistic Record Linkage: Accurate Links, Probabilities, and Measures of Uncertainty
Presentation
Bradley Spahn, Stanford University; Brendan McVeigh, Carnegie Mellon University; Jared S Murray, University of Texas at Austin
9:35 AM Multiple Imputation of Probabilistic Linkage of Employers in Survey and Administrative Data: Creating CenHRS
Dhiren Patki, University of Michigan
9:55 AM Bayesian Record Linkage with Sub-Models
Joan Heck
10:15 AM Floor Discussion
 
 

495 * !
Wed, 8/1/2018, 10:30 AM - 12:20 PM CC-West 224
The Potential for Web-Scraping in the Production of Official Statistics: An Opportunity for Statistics to Lead? — Invited Papers
Government Statistics Section, Survey Research Methods Section, Section on Statistical Learning and Data Science, Social Statistics Section
Organizer(s): Linda J Young, USDA National Agricultural Statistics Service
Chair(s): Michael Hyman, USDA-NASS
10:35 AM Modernizing Census Bureau Economic Statistics through Web Scraping
Presentation
Brian Dumbacher, U.S. Census Bureau; Carma Ray Hogue, U.S. Census Bureau
11:00 AM The Potential for Web-Scraping in the Production of Official Statistics: An Opportunity for Statistics to Lead?
Presentation
Linda J Young, USDA National Agricultural Statistics Service
11:25 AM Modernizing Government Statistics While Preserving Principles
Presentation
Robert Sivinski, Office of Management and Budget; Rochelle (Shelly) Wilkie Martinez, Office of Management and Budget
11:50 AM Floor Discussion
 
 

508 !
Wed, 8/1/2018, 10:30 AM - 12:20 PM CC-West 221
Leading the Estimates Towards Known Benchmarks — Topic Contributed Papers
Survey Research Methods Section, Government Statistics Section, International Association of Survey Statisticians
Organizer(s): Luca Sartore, National Institute of Statistical Sciences
Chair(s): Clifford Spiegelman, Texas A&M University
10:35 AM Calibrating Big Data for Population Inference: Applying Quasi-Randomization Approach to Naturalistic Driving Data Using Bayesian Additive Regression Trees
Presentation
Ali Rafei, University of Michigan; Michael Elliott, University of Michigan; Carol A.C. Flannagan, University of Michigan, Transport Research Institute
10:55 AM Using Calibration Weighting in Samples with a Non-Probability Component
Presentation
Jamie Ridenhour, RTI International; Phil Kott, RTI
11:15 AM Deep Learning for Data Imputation and Calibration Weighting
Presentation
Yijun Wei, NISS; Luca Sartore, National Institute of Statistical Sciences; Jake Abernethy, National Agricultural Statistics Service, United States Department of Agriculture; Darcy Miller, National Agricultural Statistics Service; Kelly Toppin, National Agricultural Statistics Service; Clifford Spiegelman, Texas A&M University; Michael Hyman, USDA-NASS
11:35 AM A Global Convergent Algorithm for Integer Calibration Weighting
Presentation
Kelly Toppin, National Agricultural Statistics Service; Luca Sartore, National Institute of Statistical Sciences; Clifford Spiegelman, Texas A&M University
11:55 AM Floor Discussion
 
 

Register 544
Wed, 8/1/2018, 12:30 PM - 1:50 PM CC-West Ballroom D
Government Statistics Section P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Government Statistics Section
Organizer(s): Jeffrey Gonzalez, Bureau of Labor Statistics
WL15: Using Open-Source Software in Government Agencies
Wendy L Martinez, Bureau of Labor Statistics
 
 

578
Wed, 8/1/2018, 2:00 PM - 3:50 PM CC-West 204
Statistical Explorations for the Post-Enumeration Survey of the U.S. 2020 Census — Topic Contributed Papers
Survey Research Methods Section, Government Statistics Section
Organizer(s): Timothy Kennel, U.S. Census Bureau
Chair(s): Vincent Mule, U.S. Census Bureau
2:05 PM Evolution of the Modern Post-Enumeration Survey: How Did We Get Here and Where Should We Go Next?
Howard Hogan, U. S. Census Bureau
2:25 PM Considerations in Designing the 2020 Post-Enumeration Survey Sample
Presentation
Laura A. Davis, US Census Bureau; T. Trang Nguyen, US Census Bureau; Courtney Hill, U.S. Census Bureau
2:45 PM Creating a Hard-To-Enumerate Score to Stratify the 2020 Post-Enumeration Survey Sample
Presentation
Krista Heim, U.S. Census Bureau; Courtney Hill, U.S. Census Bureau; T. Trang Nguyen, US Census Bureau; Timothy Kennel, U.S. Census Bureau
3:05 PM Using Imputation Methods to Predict Listing Housing Unit Counts for Small Geographies
Courtney Hill, U.S. Census Bureau; Timothy Kennel, U.S. Census Bureau; T. Trang Nguyen, US Census Bureau
3:25 PM Calibrating Components of Coverage from a Post-Enumeration Survey
Timothy Kennel, U.S. Census Bureau
3:45 PM Floor Discussion
 
 

580
Wed, 8/1/2018, 2:00 PM - 3:50 PM CC-West 210
Federal Statistics, Multiple Data Sources, and Privacy Protection — Topic Contributed Panel
Government Statistics Section, Survey Research Methods Section, Committee on Privacy and Confidentiality
Organizer(s): Brian Harris-Kojetin, National Academy of Sciences
Chair(s): Gina Walejko, U.S. Census Bureau
2:05 PM Using Multiple Data Sources for Federal Statistics: Next Steps and Applications
Presentation 1 Presentation 2 Presentation 3 Presentation 4
Panelists: Frauke Kreuter, Joint Program in Survey Methodology
Nancy Kirkendall, National Academies of Sciences, Engineering, and Medicine
Peter Miller, Northwestern University
Hubert Hamer, National Agricultural Statistics Service
3:40 PM Floor Discussion
 
 

591 !
Wed, 8/1/2018, 2:00 PM - 3:50 PM CC-West 213
Synthetic Data and Data Disclosure — Contributed Papers
Government Statistics Section
Chair(s): Amanda Nagle, U.S. Census Bureau
2:05 PM Challenges Confronted and Insights Revealed in Synthesizing State-Level Integrated Data
Daniel Bonnery, University of Maryland; Michael E Woolley, University of Maryland and Maryland Longitudinal Data System Center; Laura Stapleton, University of Maryland and Maryland Longitudinal Data System Center; Tessa Johnson, University of Maryland and Maryland Longitudinal Data System Center; Angela Henneberger, University of Maryland and Maryland Longitudinal Data System Center; Bess Rose, University of Maryland and Maryland Longitudinal Data System Center; Yi Feng, University of Maryland and Maryland Longitudinal Data System Center; Terry Shaw, University of Maryland and Maryland Longitudinal Data System Center; Yating Zheng, University of Maryland and Maryland Longitudinal Data System Center
2:20 PM Finite Sample Inference for Multiply Imputed Synthetic Data Under a Multiple Linear Regression Model
Martin Klein, U.S. Census Bureau
2:35 PM Differentially Private Multiple Synthesis via an Adaptive Multiplicative Weighting Algorithm
Presentation 1 Presentation 2
Evercita Eugenio, University of Notre Dame; Fang Liu, University of Notre Dame
2:50 PM A Top-Down Algorithm for Releasing Differentially Private Hierarchical Multi-Dimensional Contingency Tables with Exact Constraints
Robert Ashmead, U.S. Census Bureau; John M Abowd, U.S. Census Bureau; Simson Garfinkel, U.S. Census Bureau; Michael Hay, Colgate University; Dan Kifer, Penn State University ; Philip Leclerc, U.S. Census Bureau; Ashwin Machanavajjhala, Duke University; Ryan McKenna, , University of Massachusetts, Amherst; Gerome Miklau, University of Massachusetts, Amherst; Brett Moran, U.S. Census Bureau; William Sexton, U.S. Census Bureau
3:05 PM Pre-Masking Procedure for Grouping Variables in Multivariate Data Sets
Anna Oganian, National Center for Health Statistics
3:20 PM Preserving Privacy in Person-Level Data for the American Community Survey
Presentation
Michael H. Freiman, U.S. Census Bureau; Rolando A. Rodríguez, U.S. Census Bureau; Jerome P. Reiter, Duke University; Amy D. Lauger, U.S. Census Bureau
3:35 PM Toward an Updated Publication Standard for Official County-Level Crop Estimates
Presentation
Nathan Cruze, USDA National Agricultural Statistics Service; Andreea Erciulescu, National Institute of Statistical Sciences; Habtamu Benecha, USDA National Agricultural Statistics Service; Valbona Bejleri, USDA National Agricultural Statistics Service; Balgobin Nandram, Worcester Polytechnic Institute; Linda J Young, USDA National Agricultural Statistics Service
 
 

598 * !
Thu, 8/2/2018, 8:30 AM - 10:20 AM CC-West 306
Statistical Partnerships in Excellence: Featuring SPAIG Award Winning Collaborations — Invited Papers
Stats. Partnerships Among Academe Indust. & Govt. Committee, Government Statistics Section, Health Policy Statistics Section, Section on Statistical Consulting, Section on Statistics in Defense and National Security
Organizer(s): Kelly H Zou, Pfizer Inc
Chair(s): John E Kolassa, Rutgers, the State University of New Jersey
8:35 AM SPAIG Award Collaboration: Laboratory for Analytic Sciences
Presentation
Alyson Wilson, North Carolina State University
9:00 AM SPAIG Award Collaboration: The National Science Foundation-Census Research Network (NCRN)
Presentation
Daniel H Weinberg, Consultant; Lars Vilhuber, Cornell University
9:25 AM Soft Skills for Effective Collaborations and Communications
Presentation
Nancy Ann Bates, US Census Bureau
9:50 AM Discussant: David Banks, Duke University
10:15 AM Floor Discussion
 
 

605 * !
Thu, 8/2/2018, 8:30 AM - 10:20 AM CC-West 116
Prospects for Combining Survey and Administrative Data for Income Measurement — Invited Papers
Business and Economic Statistics Section, Government Statistics Section, Survey Research Methods Section
Organizer(s): Bruce D Meyer, University of Chicago
Chair(s): Quentin Brummet, U.S. Census Bureau
8:35 AM Administrative Data Linkage and Microsimulation: Challenges and Opportunities
Presentation
Laura Lynn Wheaton, The Urban Institute
8:55 AM Linking Survey and Administrative Data to Measure Family and Household Income, Inequality and Mobility
Presentation
Derek Wu, University of Chicago; Bruce D Meyer, University of Chicago; Carla Medalia, U.S. Census Bureau
9:15 AM Linking Administrative and Survey Data to Revolutionize 21st Century Poverty and Inequality Measurement
David Johnson, University of Michigan
9:35 AM Prospects for Combining Survey and Administrative Data for Income Measurement
Presentation 1 Presentation 2
Trudi Jane Renwick, U.S. Census Bureau; Liana Fox, U.S. Census Bureau; Ashley Edwards, U.S. Census Bureau; Jonathan Rothbaum, U.S. Census Bureau
9:55 AM Discussant: John Czajka, Mathematica Policy Research
10:15 AM Floor Discussion
 
 

622 !
Thu, 8/2/2018, 8:30 AM - 10:20 AM CC-West 211
Establishing and Maintaining Public Confidence in Official Statistics — Topic Contributed Panel
Government Statistics Section, Significance Magazine, Government Statistics Section, Survey Research Methods Section, History of Statistics Interest Group, Committee on ASA Archives and Historical Materials
Organizer(s): Wendy L Martinez, Bureau of Labor Statistics
Chair(s): James Cochran, University of Alabama
8:35 AM Establishing Public Confidence in Official Statistics
Presentation 1 Presentation 2
Panelists: Anil Arora, Statistics Canada
Barry Nussbaum
John L. Eltinge, United States Census Bureau
10:10 AM Floor Discussion
 
 

623 * !
Thu, 8/2/2018, 8:30 AM - 10:20 AM CC-East 10
Educating the Government Workforce to Lead with Statistics — Topic Contributed Panel
Section on Teaching of Statistics in the Health Sciences, Government Statistics Section
Organizer(s): Janice Lent, U.S. Energy Information Administration
Chair(s): Frauke Kreuter, Joint Program in Survey Methodology
8:35 AM Educating the Government Workforce to Lead with Statistics
Presentation 1 Presentation 2 Presentation 3 Presentation 4 Presentation 5 Presentation 6
Panelists: David Kinyon, Dept. of Energy
Andrew White, National Center for Education Statistics
Jeffrey Gonzalez, Bureau of Labor Statistics
Barbara Rater, National Agricultural Statistics Service
Susan Fortier, Statistics Canada
Katherine J Thompson, U.S. Census Bureau
10:10 AM Floor Discussion
 
 

633 !
Thu, 8/2/2018, 8:30 AM - 10:20 AM CC-West 208
Model-Based Statistics and Applications — Contributed Papers
Government Statistics Section
Chair(s): Anne Parker, Internal Revenue Service
8:35 AM Heteroscedasticity and Model Selection via Partitioning: Application to Shrimp Data Files in the Gulf of Mexico, Years 2015 and 2016
Presentation 1 Presentation 2
Morteza Marzjarani
8:50 AM Case-Control Studies with Differential Ascertainment: a Capture-Recapture Approach
Matteo Sordello, Wharton
9:05 AM Validation of 2015 Residential Energy Consumption Survey End-Use Estimates by Bayesian Calibration Models
Presentation
Hiroaki Minato, U. S. Energy Information Administration (EIA)
9:20 AM Finding and Combining Multiple Designed Data Sets for Estimating Causal Effects in Observational Studies
Zach Branson, Harvard University; Marie-Abele Bind, Harvard University
9:50 AM Floor Discussion
 
 

647 * !
Thu, 8/2/2018, 10:30 AM - 12:20 PM CC-East 16
Current Federal Research on Improving Measurement of LGBT Populations — Invited Papers
ASA LGBT Concerns Committee, Government Statistics Section, Survey Research Methods Section, Social Statistics Section
Organizer(s): Jennifer Truman, Bureau of Justice Statistics
Chair(s): Darcy Miller, National Agricultural Statistics Service
10:35 AM Assessing the Feasibility of Asking Questions on Sexual Orientation and Gender Identity on the Current Population Survey (CPS)
Presentation
Renee Ellis, U.S. Census Bureau; Jessica Holzberg, U.S. Census Bureau; Matthew Virgil , U.S. Census Bureau; Jennifer Edgar, Bureau of Labor Statistics; Polly Phipps, Bureau of Labor Statistics
10:55 AM Improving the Measurement of Sexual Orientation and Gender Identity Among Youth
Presentation
Jessica Stroop, Bureau of Justice Statistics; Darby Steiger, Westat; Leanne Heaton, Westat; Crystal MacAllum, Westat; Jessica Behm, Westat; Cecilia Avison, Westat
11:15 AM Prevalence of Sexual Orientation and Gender Identity Behaviors: An Approach for State-Level and National Estimation Derived from the Behavioral Risk Factor Surveillance System
Ronaldo Iachan, ICF; Yangyan Deng, ICF
11:35 AM Differences in Rates of Suicidal Ideation and Potential Suicide Attempt Among Disabled and Gender Minority Medicare Beneficiaries from 2009--2014
Ana M. Progovac, Harvard Medical School / Cambridge Health Alliance; Brian Mullin, Cambridge Health Alliance; Alex McDowell, Harvard Medical School / Cambridge Health Alliance; Maria Jose Sanchez, Cambridge Health Alliance; Sari L. Reisner, Harvard T.H. Chan School of Public Health ; Emilia Dunham, Massachusetts Department of Public Health ; Cynthia Telingator, Cambridge Health Alliance; Benjamin Le Cook, Harvard Medical School / Cambridge Health Alliance
11:55 AM Recent Updates to the Medicare Transgender Cohort: Results from ICD-10
Paul Guerino, Centers for Medicare & Medicaid Services; Erin Ewald, NORC at the University of Chicago; Alison Laffan, NORC at the University of Chicago; Christina Dragon, CMS Office of Minority Health; Carl Streed, ?Brigham and Women's Hospital; Zil Goldstein, The Mount Sinai Hospital
12:15 PM Floor Discussion