Name: 2021 Joint Statistical Meetings
Start: 2021-08-08T07:00:00+00:00
End: 2021-08-12

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24 !	Sun, 8/8/2021, 1:30 PM - 3:20 PM	Virtual
Recent Advances in Causal Analyses That Tell the Story of Complex Mediation Mechanisms — Topic-Contributed Papers
Biometrics Section, Section on Statistics in Epidemiology, Social Statistics Section
Organizer(s): Xu Qin, University of Pittsburgh
Chair(s): Xu Qin, University of Pittsburgh
1:35 PM	Some Applications of Causal Mediation Analysis and Discrepancies with Traditional Mediation Analysis David Peter MacKinnon, Arizona State University; Matthew Valente, Florida International University; Diana Alvarez Bartolo, Arizona State University
1:55 PM	Causal Mediation Analysis for Sparse and Irregular Longitudinal Data Presentation Fan Li, Duke University; Shuxi Zeng, Duke University
2:15 PM	Post-Treatment Confounding in Causal Mediation Studies: A Cutting-Edge Problem and a Novel Solution via Sensitivity Analysis Guanglei Hong, University of Chicago; Fan Yang, University of Colorado Denver; Xu Qin, University of Pittsburgh
2:35 PM	Heterogeneous Indirect Effects for Multiple Mediators Using Interventional Effect Models Presentation Wen Wei Loh, Ghent University; Beatrijs Moerkerke, Ghent University; Tom Loeys, Ghent University; Stijn Vansteelandt, Ghent University
2:55 PM	A causal approach to functional mediation analysis with application to a smoking cessation intervention Donna L. Coffman, Temple University; John J. Dziak, Pennsylvania State University; Yajnaseni Chakraborti, Temple University; Megan E. Piper, University of Wisconsin - Madison
3:15 PM	Floor Discussion

44 * !	Sun, 8/8/2021, 3:30 PM - 5:20 PM	Virtual
Creating Data for Good (D4G) Programs: Roadmap and Research Highlights — Invited Panel
Social Statistics Section, Section on Statistics and Data Science Education, Section on Statistical Learning and Data Science, Caucus for Women in Statistics
Organizer(s): Gizem Korkmaz, University of Virginia; Sarah Stone, eScience Institute & UW Data Science for Social Good (DSSG)
Chair(s): Gizem Korkmaz, University of Virginia
3:35 PM	Creating Data for Good (D4G) Programs: Roadmap and Research Highlights
Panelists:	Sarah Stone, eScience Institute & UW Data Science for Social Good (DSSG) Dan Richard, University of North Florida Chiara Sabatti, Stanford University Cassandra Dorius, Iowa State University Kit Rodolfa, Carnegie Mellon University Dharma Dailey, University of Washington
5:10 PM	Floor Discussion

52 * !	Sun, 8/8/2021, 3:30 PM - 5:20 PM	Virtual
Statistically Accurate Interactive Displays for Educational and Government Reports — Topic-Contributed Panel
Government Statistics Section, Social Statistics Section, Section on Statistical Graphics
Organizer(s): Brian Habing, National Institute of Statistical Sciences
Chair(s): Brian Habing, National Institute of Statistical Sciences
3:35 PM	Statistically Accurate Interactive Displays for Educational and Government Reports
Panelists:	Andrew White, National Center for Education Statistics Lynne Stokes, Southern Methodist University Mark Wilson, University of California Berkeley Nola du Toit, NORC at the University of Chicago
5:10 PM	Floor Discussion

112 *	Mon, 8/9/2021, 1:30 PM - 3:20 PM	Virtual
Statistics and Legislative Redistricting — Invited Papers
Social Statistics Section, Government Statistics Section, Statistics and Public Policy
Organizer(s): Cory McCartan, Harvard University
Chair(s): Jonathan C. Mattingly, Duke University
1:35 PM	Monte Carlo Methods for Revealing Gerrymandering Gregory J Herschlag, Department of Mathematics; Jonathan C. Mattingly, Duke University
2:05 PM	Sequential Monte Carlo for Sampling Balanced and Compact Redistricting Plans Presentation Cory McCartan, Harvard University; Kosuke Imai, Harvard University
2:35 PM	Computational Methods for Assessing Political Redistricting Reforms Daryl DeFord, Washington State University
3:05 PM	Floor Discussion

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

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

164	Tue, 8/10/2021, 10:00 AM - 11:50 AM	Virtual
Social Statistics Speed Session — Contributed Speed
Social Statistics Section, Text Analysis Interest Group
Chair(s): Robin Mejia, Carnegie Mellon University
10:05 AM	Retrospective Causal Inference via Matrix Completion, with an Evaluation of the Effect of European Integration on Cross-Border Employment Jason Poulos, Duke University and SAMSI; Andrea Albanese, Luxembourg Institute of Socio-Economic Research (LISER); Andrea Mercatanti, Bank of Italy; Fan Li, Duke University
10:10 AM	Multivariate Small Area Estimation for Continuous and Binary Outcomes: Mapping Collective Efficacy and Crime Prevalence in London Angelo Moretti, Manchester Metropolitan University; David Buil-Gil, University of Manchester
10:15 AM	A Spatio-Temporal Analysis of College Crime in the USA Fatih Gezer, University of Leeds; Xiaoke Zhang, George Washington University
10:20 AM	Embedding Regression: Models for Context-Specific Description and Inference in Political Science Arthur Spirling, New York University; Pedro Rodriguez, Vanderbilt University; Brandon Stewart, Princeton University
10:25 AM	On the Causal Effect of Flipping the Party Order of Candidates in North Carolina’s Nonpartisan Elections Alessandro Arlotto, Duke University; Alexandre Belloni, Duke University; Fei Fang, Duke University; saša peke?, Duke University
10:30 AM	Modeling and Understanding Polarization in News Media Using Dynamic Topic Models Presentation Shane Dakota Bookhultz, Virginia Tech; Scotland Leman, Virginia Tech; Shyam Ranganathan, Virginia Tech; James Hawdon, Virginia Tech
10:35 AM	Polling Errors and Election Forecasting: A Not-So-Hidden Markov Model Presentation Graham Tierney, Duke Univeristy; Alexander Volfovsky, Duke University
10:40 AM	Investigating Similarities and Differences Across States in DVC Scores for Evaluating Redistricting Plans Thomas R. Belin, UCLA FSPH; Cameron T. Rider, C-FIT Redistricting (Coalition for Fairness, Integrity, and Transparency in Redistricting)
10:45 AM	Robustness of DVC Scores to Alternative Density-Variation and Compactness Measures in Evaluating Redistricting Plans Cameron T. Rider, C-FIT Redistricting (Coalition for Fairness, Integrity, and Transparency in Redistricting); Thomas R. Belin, UCLA FSPH
10:50 AM	Modeling Popular Music Genre Preferences Over Time Aimée M. Petitbon, University of South Carolina; David B. Hitchcock, University of South Carolina
11:00 AM	Is Automated Driving Safer? An Application of Survival Analysis in Automated Vehicle Safety Evaluation Soheil Sohrabi, Texas A&M University; Bahar Dadashova, Texas A&M Transportation Institute; Dominique Lord, Texas A&M University
11:05 AM	A Hybrid Approach for Traffic Crash Identification Using Deep Learning and Xgboost Liang Shi, Virginia Tech; Chen Qian, Virginia Tech; Yanran Wei, Virginia Tech; Feng Guo, Virginia Tech
11:10 AM	Evaluating Risk of Eye Glance Patterns by Embedding Based Kernel Two Sample Test Presentation Chen Qian, Virginia Tech; Jingbin Xu, Virginia Tech; Feng Guo, Virginia Tech
11:15 AM	Disparities in Ride-Hailing Usage in the US Wenjian Jia, University of Virginia; Donna Chen, University of Virginia
11:20 AM	Bayesian Criterion-Based Assessments of Recurrent Event Models with Applications to Commercial Truck Driver Behavior Studies Yiming Zhang, University of Connecticut; Ming-Hui Chen, UCONN; Feng Guo, Virginia Tech
11:25 AM	Unified Latent Class Modeling of Score and Rank Data Applied to Grant Panel Review Michael Pearce, University of Washington; Elena Erosheva, University of Washington; Steven Gallo, American Institute of Biological Sciences
11:30 AM	Causal Effect Modification: A Case Study with BPS Data Bryan Keller, Teachers College, Columbia University
11:35 AM	Exact Privacy Guarantees for Sampling Algorithms Implementing the Exponential Mechanism Jeremy Seeman, Penn State University; Matthew Reimherr, Penn State University; Aleksandra Slavkovic, Penn State University
11:40 AM	Unbiased Statistical Estimation and Valid Confidence Intervals Under Differential Privacy Christian Covington, University of Waterloo; Xi He, University of Waterloo; Gautam Kamath, University of Waterloo; James Honaker, Facebook and Harvard University
11:45 AM	Bayesian Estimation of Program-Specific Impacts in the HPOG Program Stas Kolenikov, Abt Associates; David Ross Judkins, Abt Associates

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

206 * !	Tue, 8/10/2021, 1:30 PM - 3:20 PM	Virtual
A Smorgasbord of Data Visualization Methods and Best Practices Across Projects, Topics, Tools, and Audiences — Topic-Contributed Panel
Section on Statistical Graphics, Social Statistics Section, Section on Statistics and Data Science Education
Organizer(s): Nola du Toit, NORC at the University of Chicago
Chair(s): Nola du Toit, NORC at the University of Chicago
1:35 PM	A Smorgasbord of Data Visualization Methods and Best Practices Across Projects, Topics, Tools, and Audiences
Panelists:	Rene Bautista, NORC at the University of Chicago Kiegan Rice, NORC at the University of Chicago Peter Herman, NORC at the University of Chicago Patrick Coyle, NORC at the University of Chicago
3:15 PM	Floor Discussion

234	Wed, 8/11/2021, 10:00 AM - 11:50 AM	Virtual
The Statistical Measurement and Description of the LGBTIA Populations — Topic-Contributed Papers
Committee of Representatives to AAAS, Social Statistics Section, ASA LGBTQ+ Advocacy Committee
Organizer(s): Dudley L. Poston, Texas A&M University
Chair(s): David Marker, Retired
10:05 AM	Variability in the Proportion of the Population with Intersex Traits Presentation Dudley L. Poston, Texas A&M University
10:25 AM	Demographic Analyses of the Transgender and Cisgender Populations Mario Itzel Suarez, UTAH STATE UNIVERSITY
10:45 AM	Demographic Analyses of the Bisexual Population DLane Compton, The University of New Orleans
11:05 AM	Floor Discussion

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

283 * !	Wed, 8/11/2021, 1:30 PM - 3:20 PM	Virtual
Statistical Analysis on Social Media Misinformation Campaigns — Topic-Contributed Papers
Social Statistics Section, Scientific and Public Affairs Advisory Committee, Text Analysis Interest Group
Organizer(s): Edward Kao, Lincoln Laboratory at Massachusetts Institute of Technology
Chair(s): Edward Kao, Lincoln Laboratory at Massachusetts Institute of Technology
1:35 PM	Understanding and Reducing the Spread of Misinformation Online: Evidence from Lab and Field Experiments Gordon Pennycook, University of Regina; Ziv Epstein, Massachusetts Institute of Technology; Mohsen Mosleh, University of Exeter Business School; Antonio A. Arechar, Massachusetts Institute of Technology; Dean Eckles, Massachusetts Institute of Technology; David G. Rand, Massachusetts Institute of Technology
1:55 PM	Assessing the Russian Internet Research Agency’s Impact on the Political Attitudes and Behaviors of American Twitter Users in Late 2017 Brian Guay, Duke University; Alexander Volfovsky, Duke University; Christopher Bail, Duke University; Sunshine Hillygus, Duke University; Emily Maloney, Duke University; Friedolin Merhout, University of Copenhagen; Aidan Combs, Duke University; Deen Freelon, University of North Carolina, Chapel Hill
2:15 PM	The Low Hanging Fruit of the Twitter Following Graph Alex Hayes, University of Wisconsin-Madison; Karl Rohe, University of Wisconsin-Madison
2:35 PM	Impact Estimation of Disinformation Narratives Using Network Causal Inference Steven Thomas Smith, MIT Lincoln Laboratory; Edward Kao, Lincoln Laboratory at Massachusetts Institute of Technology; Erika Mackin, MIT Lincoln Laboratory; Danelle Shah, MIT Lincoln Laboratory; Olga Simek, MIT Lincoln Laboratory; Donald B. Rubin, Temple University
2:55 PM	Floor Discussion

284 * !	Wed, 8/11/2021, 1:30 PM - 3:20 PM	Virtual
Learning Individualized/Sub-Group Treatment Rules in Complex Settings — Topic-Contributed Papers
Health Policy Statistics Section, Social Statistics Section, Section on Statistics in Epidemiology
Organizer(s): Rahul Ladhania, University of Michigan
Chair(s): Lyle Ungar, University of Pennsylvania
1:35 PM	Personalizing Treatment Assignment Rules in Large Multi-Arm Experimental Settings Rahul Ladhania, University of Michigan; Lyle Ungar, University of Pennsylvania
1:55 PM	Automatic Regression Discontinuity Discovery Using Tree-Based Partitioning Tony Liu, University of Pennsylvania; Rahul Ladhania, University of Michigan; Lyle Ungar, University of Pennsylvania; Konrad Kording, University of Pennsylvania
2:15 PM	Discovering Anomalous Patterns of Care Using Health Insurance Claims Sriram Somanchi, University of Notre Dame; Edward McFowland III, University of Minnesota; Daniel B Neill, New York University
2:35 PM	Instrumental Variable Approaches to Individualized Decision Making Under Endogeneity Yifan Cui, National University of Singapore
2:55 PM	Learning for Long-Term Outcomes Jeremy Yang, MIT; Dean Eckles, Massachusetts Institute of Technology; Paramveer Dhillon, University of Michigan; Sinan Aral, MIT
3:15 PM	Floor Discussion

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

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

346 * !	Thu, 8/12/2021, 10:00 AM - 11:50 AM	Virtual
Advances in Diagnostics and Reproducibility Research — Topic-Contributed Papers
Social Statistics Section, Section on Medical Devices and Diagnostics, Caucus for Women in Statistics
Organizer(s): Ananda Sen, University of Michigan
Chair(s): Parul Agarwal, Icahn School of Medicine, Mount Sinai
10:05 AM	Rank Correlation Inferences for Clustered Data with Small Sample Size Sally Hunsberger, NIAID; Joanna Shih, National Cancer Institute
10:25 AM	Assessing the Reproducibility of Microbiome Measurements Based on Concordance Correlation Coefficients Limin Peng, Emory University; Ying Cui, Emory University; Yijuan Hu, Emory University; HuiChuan Lai, University of Wisconsin-Madison
10:45 AM	A Paired Kappa for Comparing the Binary Classifications of Many Raters Kerrie Nelson, Boston University; Don Edwards, University of South Carolina
11:05 AM	A Bayesian Joint Model for Clustered Agreement Data Ananda Sen, University of Michigan ; Wen Ye, University of Michigan ; Pin Li, University of Michigan ; Alfred Franzblau, University of Michigan
11:25 AM	Floor Discussion

375 !	Thu, 8/12/2021, 12:00 PM - 1:50 PM	Virtual
CANCELLED Applying Statistics in the COVID-19 Era: Investigating Infection Rates, the Presidential Election, Investment Strategies, Systematic Cooking, and More — Topic-Contributed Papers
Social Statistics Section
Organizer(s): Saloni Patel, Stanford OHS
Chair(s): Siddhant Karmali, Stanford OHS
12:45 PM	Floor Discussion

391 * !	Thu, 8/12/2021, 2:00 PM - 3:50 PM	Virtual
Causal Inference Under Interference — Invited Papers
Section on Statistics in Epidemiology, Social Statistics Section, Biometrics Section
Organizer(s): Zhichao Jiang, University of Massachusetts Amherst
Chair(s): Michael Hudgens, University of North Carolina
2:05 PM	Statistical Inference and Power Analysis for Direct and Spillover Effects in Two-Stage Randomized Experiments Zhichao Jiang, University of Massachusetts Amherst; Kosuke Imai, Harvard University
2:30 PM	Heterogenous Causal Effects Under Network Interference Laura Forastiere, Yale University; Costanza Tortù, Ecole Polytechnique
3:20 PM	Discussant: Cyrus Samii, New York University
3:45 PM	Floor Discussion

394 * !	Thu, 8/12/2021, 2:00 PM - 3:50 PM	Virtual
Population Diversity Considerations in Clinical Trials — Invited Papers
Health Policy Statistics Section, Social Statistics Section, Biopharmaceutical Section, Caucus for Women in Statistics
Organizer(s): Freda Cooner, Amgen
Chair(s): Freda Cooner, Amgen
2:05 PM	Digitizing Clinical Trials to Enhance Diversity Demissie Alemayehu, Pfizer; Kannan Natarajan, Pfizer Inc.; Satrajit Roychoudhury, Pfizer Inc.
2:25 PM	Diversity and Inclusion in Clinical Trials Rajaa Nahra, AstraZeneca; Claudia Cabrera, AstraZeneca
2:45 PM	Enrollment Disparities by Demographic Subgroups in Oncology Clinical Trials Submitted to the US FDA Laura Fernandes, FDA
3:05 PM	Leveraging Real-World Evidence to Increase Diversity of Populations in Clinical Trials Cody Chiuzan, Columbia University
3:25 PM	Discussant: Ruthanna Davi, Medidata Solutions
3:45 PM	Floor Discussion

411 * !	Thu, 8/12/2021, 2:00 PM - 3:50 PM	Virtual
Time Series Methods for Maintaining Official Statistics in the Face of COVID-19 — Topic-Contributed Panel
Government Statistics Section, Business and Economic Statistics Section, Social Statistics Section
Organizer(s): Kathleen M McDonald-Johnson, U.S. Census Bureau
Chair(s): Richard Penny, Statistics New Zealand
2:05 PM	Time Series Methods for Maintaining Official Statistics in the Face of COVID-19
Panelists:	Kathleen M McDonald-Johnson, U.S. Census Bureau Steve Matthews, Statistics Canada Craig McLaren, Office for National Statistics Jay Mousa, U.S. Bureau of Labor Statistics Rodrigo Mariscal Paredes, Secretaría de Hacienda y Crédito Público Yingfu Xie, Statistics Sweden
3:45 PM	Floor Discussion

JSM 2021 Online Program

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