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All Times EDT

Legend:
CC = Walter E. Washington Convention Center   M = Marriott Marquis Washington, DC
* = applied session       ! = JSM meeting theme

Activity Details


CE_31P
Sun, 8/7/2022, 8:00 AM - 12:00 PM CC-145A
Navigating Tough Conversations in Statistical Collaboration — Professional Development Professional Skills Development
ASA, Section on Statistical Consulting, Caucus for Women in Statistics
Instructor(s): Julia L Sharp, Colorado State University; Emily H Griffith, North Carolina State University
Statistical practitioners face difficult conversations in their interactions with their clients and collaborators. The topics of these conversations vary widely, from completion timelines to the use and interpretation of p-values. While there are no universal guidelines for navigating tough conversations, thoughtful discussion about common experiences and lessons learned; reflection on differences among individuals and situations; and exercises such as role playing can be helpful to prepare and build confidence for engaging in future tough conversations. In this course, we will build participants’ confidence to effectively communicate with clients and customers when challenging topics or situations arise. In this course, we will: ¦ Give and solicit examples of difficult conversations often encountered in statistical collaboration. ¦ Provide suggestions to approach and engage in these difficult conversations through multiple interactive activities, with a focus on leveraging participant strengths by using individual personality and skills to have these conversations in participants’ own style. ¦ Engage participants in the interactive session and learn from each other through discussion, role-playing, and conversations motivated by participants’ questions and recently produced videos portraying several difficult conversations between statisticians and their collaborators.
 
 

223523
Sun, 8/7/2022, 9:00 AM - 10:30 AM M-Treasury
Caucus for Women in Statistics Governing Council Meeting — Other ICW
Caucus for Women in Statistics
Organizer(s): Jessica Kohlschmidt, The Ohio State University/Caucus for Women in Statistics
 
 

223543
Sun, 8/7/2022, 12:30 PM - 2:00 PM CC-Ballroom A
JSM First-Time Attendee Orientation and Reception — Other Cmte/Business
ASA, Novartis, Caucus for Women in Statistics
Organizer(s): Nairanjana Dasgupta, Washington State University
Chair(s): Donna LaLonde, ASA
 
 

6 * !
Sun, 8/7/2022, 2:00 PM - 3:50 PM CC-202B
JSSAM Special Issue: Privacy, Confidentiality, and Disclosure Protection — Invited Papers
Journal of Survey Statistics and Methodology, Caucus for Women in Statistics
Organizer(s): Katherine J. Thompson, US Census Bureau
Chair(s): Katherine J. Thompson, US Census Bureau
2:05 PM A Semiparametric Multiple Imputation Approach to Fully Synthetic Data for Complex Surveys
Mandi Yu, National Cancer Institute; Yulei He, National Center for Health Statistics; Trivellore Eachambadi Raghunathan, University of Michigan
2:30 PM Protecting the Identity of Participants in Qualitative Research Presentation
Joanne Pascale, U.S. Census Bureau; Fane Lineback, U.S. Census Bureau; Nancy Bates, U.S. Census Bureau; Paul Beatty, U.S. Census Bureau
2:55 PM Overview of the Special Issue
Anne-Sophie Charest, Université Laval
3:20 PM Discussant: Jerome P. Reiter, Duke University
3:40 PM Floor Discussion
 
 

10 * !
Sun, 8/7/2022, 2:00 PM - 3:50 PM CC-101
Recent Advances in Statistical Methods Applied to Racial Equity Research — Invited Papers
ENAR, American Public Health Association, Section on Statistics in Epidemiology, Justice Equity Diversity and Inclusion Outreach Group, Caucus for Women in Statistics
Organizer(s): Ruby Lee Bayliss, Dornsife School of Public Health, Drexel University
Chair(s): Loni Philip Tabb, Dornsife School of Public Health, Drexel University
2:05 PM Predicting Asthma Morbidity in Multiethnic Urban Rhode Island Children
Anarina Murillo, New York University; Loni Philip Tabb, Dornsife School of Public Health, Drexel University; Rachel Gaither, Brown University; Sheryl J Kopel, Brown University; Michelle L Rogers, Brown University; Melanie Morales Aquino, Brown University; Patrick M Vivier, Brown University; Daphne Koinis-Mitchell, Brown University
2:20 PM A Spatial Assessment of the Impact of Residential Segregation on Racial/Ethnic Cardiovascular Health Inequities
Ruby Lee Bayliss, Dornsife School of Public Health, Drexel University; Harrison Quick, Drexel University; Loni Philip Tabb, Dornsife School of Public Health, Drexel University; Sharrelle Barber, Dornsife School of Public Health, Drexel University; Mahasin Mujahid, University of California, Berkeley School of Public Health; Kiarri Kershaw, Northwestern University, Feinburg School of Medicine
2:35 PM Alternative Evaluation for the Informativeness of Besag-York-Mollié CAR Model and Its Application to Disparities of Heart Disease Mortality
Guangzi Song, Drexel Univerisity; Harrison Quick, Drexel University
2:50 PM Limits of Relative Measures in Health Disparities Research
Miguel Marino, Oregon Health & Science University; David Ezekiel-Herrera, Oregon Health & Science University; John Heintzman, Oregon Health & Science University
3:05 PM Disparities in Missingness Produce Algorithmic Bias: Availability of Family Health History in Electronic Medical Records
Melody Goodman, New York University
3:20 PM Discussant: Lance Waller, Rollins School of Public Health, Emory University
3:35 PM Floor Discussion
 
 

14 * !
Sun, 8/7/2022, 2:00 PM - 3:50 PM CC-151A
Moving Toward Justice, Equity, Diversity, and Inclusion in the Statistical Sciences — Invited Panel
Council of Chapters, Justice Equity Diversity and Inclusion Outreach Group, Caucus for Women in Statistics
Organizer(s): Gretchen Martinet, University of Virginia
Chair(s): Gretchen Martinet, University of Virginia
2:05 PM Moving Toward Justice, Equity, Diversity, and Inclusion in the Statistical Sciences
Panelists: Erin Chapman, Amazon AWS Cryptography
Kimberly Sellers, Georgetown University
Deirdre Middleton, RTI
Eunice J. Kim, Microsoft
Therri Usher, U.S. Food and Drug Administration
Mark Otto, Fish and Wildlife Service
3:40 PM Floor Discussion
 
 

CE_32P
Sun, 8/7/2022, 2:00 PM - 4:00 PM CC-145A
Career Development Panel: Networking Like a Pro: A Guided Networking Session — Professional Development Professional Skills Development
ASA, Committee on Career Development, Caucus for Women in Statistics
ASA Committee on Career Development (ASA CCD) is hosting a guided networking social for students and early career statisticians to practice in a friendly environment. We will have “pro networkers” discusses various topics such as introducing yourself confidently followed by practice time. During the practice sessions, students and early career professionals will be forced to “rotate” to meet and practice with new people (volunteers from industry, government, and academia).
 
 

48 * !
Sun, 8/7/2022, 4:00 PM - 5:50 PM CC-154B
Incorporating Ethical Thinking into Research and Innovation Through Education, Planning, Conduct, and Communication — Invited Panel
Committee on Professional Ethics, Statistics Without Borders, Committee on Scientific Freedom and Human Rights, Caucus for Women in Statistics, Biopharmaceutical Section
Organizer(s): Stephanie S Shipp, University of Virginia
Chair(s): Stephanie S Shipp, University of Virginia
4:05 PM Incorporating Ethical Thinking into Research and Innovation Through Education, Planning, Conduct, and Communication
Panelists: James Giordano, Georgetown University and US Naval War College
Jeri Metzger Mulrow, Westat
Jing Cao, SMU
Momin Malik, Mayo Clinic
Nathan Colaner, Seattle University
Matthew D. Rotelli, Eli Lilly and Company
5:40 PM Floor Discussion
 
 

49 * !
Sun, 8/7/2022, 4:00 PM - 5:50 PM CC-149AB
Professional Strategies in Statistics: Mentoring Students for Professional Success — Invited Panel
Caucus for Women in Statistics, Justice Equity Diversity and Inclusion Outreach Group, Section on Statistics and Data Science Education
Organizer(s): Julia L Sharp, Colorado State University
Chair(s): Julia L Sharp, Colorado State University
4:05 PM Professional Strategies in Statistics: Mentoring Students for Professional Success
Panelists: Brittney Bailey, Amherst College
Emily H Griffith, North Carolina State University
Jo Hardin, Pomona College
Renee Moore, Drexel University
Venessa Singhroy, Queensborough Community College
5:40 PM Floor Discussion
 
 

59 * !
Sun, 8/7/2022, 4:00 PM - 5:50 PM CC-101
Data-Driven Ethics as Statistical Practice — Topic Contributed Papers
Conference on Statistical Practice Steering Committee, Justice Equity Diversity and Inclusion Outreach Group, Caucus for Women in Statistics
Organizer(s): David Corliss, Peace-Work
Chair(s): Jana Lynn Asher, Slippery Rock University
4:05 PM Ethical considerations for data involving human gender and sex variables
Suzanne Thornton, Swarthmore College Dept. of Mathematics and Statistics; Dooti Roy, University of Connecticut; Stephan Parry, Cornell University; Donna LaLonde, ASA; Wendy Martinez, Bureau of Labor Statistics; Renee Ellis, U.S. Census; David Corliss, Peace-Work
4:25 PM Capture-Recapture / MSE Analysis: A Case Study in Statistical Applications in Social Justice
David Corliss, Peace-Work
4:45 PM Correlation and Structural Equation Analysis on the Effects of Anti-Discrimination Policies and Resources on the Well Being of Lesbian, Gay, and Bisexual College Students
Brandy R Sinco, U Michigan Center for Healthcare Outcomes and Policy; Michael R Woodford, Wilfrid Laurier University; Alex Kulick, UC-Santa Barbara; Jason C Garvey, University of Vermont / Higher Education and Student Affairs Administration; Jun Sung Hong, Wayne State University School of Social Work
5:05 PM Data-Informed Policy: Labor Trafficking in International Supply Chains
Sarah Warner, HHS Office of Trafficking in Persons
5:25 PM Discussant: Ralph Turner, Phoenix Data Analytics
5:45 PM Floor Discussion
 
 

66
Sun, 8/7/2022, 4:00 PM - 5:50 PM CC-153
Meeting Client Needs: Approaches and Examples — Contributed Papers
Section on Statistical Consulting, Caucus for Women in Statistics
Chair(s): Wei-Ting Hwang, University of Pennsylvania Perelman School of Medicine
4:05 PM Equitable Random Assignment
Clark Fitzgerald, Sacramento State University
4:20 PM The Exploratory Data Analysis Approach for Statistical Consulting Process
OSAMA ABDELAZIZ HUSSIEN, ALEXANDRIA UNIVRSTY
4:35 PM The Role of the Statistician and the Data Scientist in Data Management and Quality Presentation
Michiko Wolcott, Msight Analytics
4:50 PM Best Practices in Coordinating Large-Scale Data Science Initiatives
Joel Thurston, UVA Biocomplexity Institute Social and Decision Analytics Division; Sallie Keller, Biocomplexity Institute, University of Virginia; Aaron Schroeder, Biocomplexity Institute, University of Virginia; Stephanie S Shipp, University of Virginia
5:05 PM Unconventional Outcomes Require Unconventional Methods: A Case Study in Collaborative Biostatistics Presentation
Anthony Mangino, University of Kentucky; Emily Slade, University of Kentucky; Dana Quesinberry, University of Kentucky
5:20 PM A Hierarchical Approach to Customer Lifetime Value
Xiaojing Dong, Santa Clara University; Mark Scarr, Atlassian Corporation PLC; Stephan Curiskis, Atlassian Corporation PLC; Fan Jiang, Atlassian Corporation PLC
5:35 PM Floor Discussion
 
 

84 * !
Mon, 8/8/2022, 8:30 AM - 10:20 AM CC-207B
Making ASA an Anti-Racist Organization: Report from the ASA Anti-Racism Task Force — Invited Papers
Justice Equity Diversity and Inclusion Outreach Group, Committee on Minorities in Statistics, Committee on Membership Retention and Recruitment, Caucus for Women in Statistics
Organizer(s): David A Marker, Marker Consulting, LLC
Chair(s): David A Marker, Marker Consulting, LLC
8:35 AM Making ASA an Anti-Racist Organization: Report from the ASA Anti-Racism Task Force
Samuel Echevarria-Cruz, Austin Community College District
9:05 AM Findings and Recommendations from the Promoting and Engaging Racial Inclusion ASA Antiracism Task Force Subcommittee
Portia Exum, SAS Institute Inc.
9:35 AM Findings and Recommendations from the ASA Antiracism Task Force Subcommittee for Advancing Racial Justice in the Practice of Statistics Presentation
Emily Hadley, RTI International; Necip Doganaksoy, Siena College; Susan Halabi, Duke University School of Medicine; Ofer Harel, University of Connecticut; David A Marker, Marker Consulting, LLC; Miles Ott, Janssen Pharmaceutical Companies of Johnson & Johnson; Douglas Samuelson, InfoLogix, Inc.; Abdus Wahed, University of Pittsburgh
Discussant: Robert Santos, U.S. Census Bureau
10:05 AM Floor Discussion
 
 

85 * !
Mon, 8/8/2022, 8:30 AM - 10:20 AM CC-150A
20 Years of Principal Stratification: Where to Now? — Invited Papers
Health Policy Statistics Section, Mental Health Statistics Section, Biometrics Section, Caucus for Women in Statistics
Organizer(s): Booil Jo, Stanford University
Chair(s): Peng Ding, University of California Berkeley
8:35 AM Jointly Utilizing Parametric and Nonparametric Identification of Principal Causal Effects
Booil Jo, Stanford University
8:55 AM The Role of Principal Stratification in Pharmaceutical Experimentation: The Estimand Strategy
Fabrizia Mealli, University of Florence
9:15 AM Experimental Evaluation of Algorithm-Assisted Human Decision-Making: Application to Pretrial Public Safety Assessment
Zhichao Jiang, University of Massachusetts Amherst
9:35 AM Bridging Theory and Practice in Principal Stratification Presentation
Fan Li, Duke University; Bo Liu, Duke University
9:55 AM Discussant: Constantine Frangakis, Johns Hopkins University
10:15 AM Floor Discussion
 
 

92 * !
Mon, 8/8/2022, 8:30 AM - 10:20 AM CC-201
Teaching Social Justice Through Statistics and Biostatistics: The Case for a DEI-Infused Curriculum — Invited Papers
Section on Teaching of Statistics in the Health Sciences, Justice Equity Diversity and Inclusion Outreach Group, Section on Statistics and Data Science Education, Caucus for Women in Statistics
Organizer(s): Rongwei (Rochelle) Fu (she/her/hers), School of Public Health, Oregon Health & Science University
Chair(s): Byung Park (he/him/his), Knight Cancer institute, Oregon Health & Science University
8:35 AM DEI Through Community-Engaged Learning Presentation
Jana Lynn Asher, Slippery Rock University
9:00 AM Using an Ethics Course as a Gateway to DEI Discussions in Biostatistics
Rebecca Roberts Andridge, The Ohio State University; Abigail Shoben, The Ohio State University
9:25 AM Incorporating Data Equity into Biostatistics Curriculum
Rongwei (Rochelle) Fu (she/her/hers), School of Public Health, Oregon Health & Science University ; Meike Niederhausen, OHSU-PSU School of Public Health; Janne Boone-Heinonen, OHSU-PSU School of Public Health; Byung Park (he/him/his), Knight Cancer institute, Oregon Health & Science University; Thuan Nguyen, Oregon Health Science University; Kelly Gonzales, OHSU-PSU School of Public Health; Amber Lin, Oregon Health & Science University; Jodi Lapidus, OHSU-PSU School of Public Health
9:50 AM Discussant: Scarlett (she/her/hers) L. Bellamy , Drexel University, Dornsife School of Public Health
10:10 AM Floor Discussion
 
 

123 * !
Mon, 8/8/2022, 10:30 AM - 12:20 PM CC-144B
The Early Bird Catches the Worm: Sequential Decision-Making as a Framework in Time of COVID-19 Pandemic — Invited Papers
Caucus for Women in Statistics, Korean International Statistical Society, Biometrics Section
Organizer(s): Dong-Yun Kim, NHLBI/NIH
Chair(s): Yanhong Wu, California state university, Stanislaus
10:35 AM Effects of Early Stopping Options on an Exponential Family Distribution
Nancy Flournoy, University of Missouri; Sergey Tarima, Division of Biostatistics, Medical College of Wisconsin
10:55 AM Application of Truncated Sequential Probability Ratio Test in Evaluating COVID-19 Vaccine Efficacy Presentation
Vladimir Dragalin, Janssen Pharmaceutical Companies of Johnson & Johnson
11:15 AM A Sequential Test of Treatment Effects Under Staggered Entry in a Multi-Center Clinical Trial
Sung-Min Han, i2KIE LLC; Dong-Yun Kim, NHLBI/NIH
11:35 AM Designing Vaccine Efficacy Trials with Interim Analyses Using Bayesian SPRT
Erina Paul, Merck & Co., Inc.; Santosh Sutradhar, Merck & Co., Inc.; Jonathan Hartzel, Merck & Co., Inc.; Devan V. Mehrotra, Merck & Co., Inc.
11:55 AM Discussant: William Rosenberger, George Mason University
12:15 PM Floor Discussion
 
 

129
Mon, 8/8/2022, 10:30 AM - 12:20 PM CC-154A
Improving Data Science Education Infrastructure at Community Colleges, Teaching, and Research Universities — Invited Panel
Section on Statistics and Data Science Education, Section on Teaching of Statistics in the Health Sciences, Council on Undergraduate Research, Caucus for Women in Statistics
Organizer(s): Mine Dogucu, University of California Irvine
Chair(s): Babak Shahbaba, University of California Irvine
10:35 AM Improving Data Science Education Infrastructure at Community Colleges, Teaching, and Research Universities
Panelists: Sam Behseta, California State University, Fullerton
Alex Franks, University of California, Santa Barbara
Mariam Salloum, University of California, Riverside
12:10 PM Floor Discussion
 
 

130 * !
Mon, 8/8/2022, 10:30 AM - 12:20 PM CC-151A
A Modern Infrastructure for the Future of Official Statistics: What Has Changed, and Where Are We Going? — Invited Panel
Government Statistics Section, Survey Research Methods Section, Business and Economic Statistics Section, Caucus for Women in Statistics
Organizer(s): Arthur B Kennickell, Stone Center, CUNY Graduate Center
Chair(s): Emilda Rivers, National Center for Science and Engineering Statistics
10:35 AM A Modern Infrastructure for the Future of Official Statistics: What Has Changed, and Where Are We Going?
Panelists: Anna Hui, Missouri Department of Labor and Industrial Relations
Julia Lane, New York University
Barry Johnson, Statistics of Income, IRS
Nancy Potok, NAPx Consulting
12:10 PM Floor Discussion
 
 

133 * !
Mon, 8/8/2022, 10:30 AM - 12:20 PM CC-207B
Equity in Innovation: Should Race and Ethnicity Be Included in Clinical Prediction Models and Algorithms? — Topic Contributed Papers
Biometrics Section, Justice Equity Diversity and Inclusion Outreach Group, Section on Statistical Learning and Data Science, Caucus for Women in Statistics
Organizer(s): Yates Coley, Kaiser Permanente Washington Health Research Institute
Chair(s): Trang Nguyen, Johns Hopkins Bloomberg School of Public Health
10:35 AM Implications of Race-Based Estimates of Kidney Function
Leila Zelnick, University of Washington
10:55 AM Incorporating Ethical Judgements into Measures and Causal Decompositions of Health Disparities
John W Jackson, Johns Hopkins University; Trang Nguyen, Johns Hopkins Bloomberg School of Public Health; Ting-Hsuan Chang, Johns Hopkins Bloomberg School of Public Health
11:15 AM FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data
Zhun Deng, Harvard University
11:35 AM Evaluating the Clinical Impact of Racial/Ethnic Disparities in the Performance of Risk Prediction Models
Aasthaa Bansal, University of Washington; Sara Khor, University of Washington
11:55 AM Discussant: Stephanie Cook, New York University
12:15 PM Floor Discussion
 
 

141 * !
Mon, 8/8/2022, 10:30 AM - 12:20 PM CC-152B
Diversity and Inclusion in Analytics Roles in the Professional Sports Industry — Topic Contributed Panel
Section on Statistics in Sports, Justice Equity Diversity and Inclusion Outreach Group, Significance Magazine, Caucus for Women in Statistics
Organizer(s): Lorena Martin, University of Southern California
Chair(s): Lorena Martin, University of Southern California
10:35 AM Diversity and Inclusion in the Professional Sports Industry
Panelists: Bill Burgos, Minnesota Timberwolves
John Saintignon, FIBA
Jonathan Martinez, Las Vegas Raiders
Mauricio Elizondo, Association for Tennis Professionals (ATP Tour)
12:10 PM Floor Discussion
 
 

173
Mon, 8/8/2022, 2:00 PM - 3:50 PM CC-206
50th Anniversary of the Canadian Journal of Statistics and the Statistical Society of Canada — Invited Papers
SSC (Statistical Society of Canada), Caucus for Women in Statistics
Organizer(s): Bruno N Remillard, HEC Montreal
Chair(s): Bruno N Remillard, HEC Montreal
2:05 PM The Emergence of Environmetrics in Canada
Charmaine Dean, University of Waterloo
2:30 PM The Canadian Journal of Statistics: Its Contributions to Research on Copula Models
Louis-Paul Rivest, Université Laval
2:55 PM Experiments in Collaborative Research in Statistical Sciences Presentation
Donald Estep, Canadian Statistical Sciences Institute; Andrea Benedetti, Canadian Statistical Sciences Institute
3:20 PM A Random Walk Through Canadian Contributions on Empirical Processes and Their Applications in Probability and Statistics
Bouchra Nasri, École de Santé Publique de l’Université de Montréal
3:45 PM Floor Discussion
 
 

175 * !
Mon, 8/8/2022, 2:00 PM - 3:50 PM CC-151B
Computational Methods for Complex Data Challenges — Invited Papers
Section on Statistical Computing, WNAR, Section on Statistical Graphics, Caucus for Women in Statistics
Organizer(s): Dehan Kong, University of Toronto
Chair(s): Dehan Kong, University of Toronto
2:05 PM Lagrangian Inference for Ranking Problems
Ethan Fang, Duke University; Yue Liu, Harvard University; Junwei Lu, Harvard University
2:35 PM Joint Matrix Decomposition Regression for Supervised Multi-Omics Data Integration
Yue Wang, Arizona State University; Tim Randolph, Fred Hutch Cancer Center; Jing Ma, Fred Hutch Cancer Center; Ali Shojaie, University of Washington
3:05 PM Delphi's COVIDcast Project: Lessons Learned Building Statistical Software in Real Time
Alex Reinhart, Carnegie Mellon University
3:35 PM Floor Discussion
 
 

178
Mon, 8/8/2022, 2:00 PM - 3:50 PM CC-101
Memorial Session for Michael Woodroofe — Invited Papers
Memorial, Caucus for Women in Statistics, IMS, International Chinese Statistical Association
Organizer(s): Bodhisattva Sen, Columbia University
Chair(s): Mary C Meyer, Colorado State University
2:05 PM Michael Woodroofe: Statistician and Friend
David Siegmund, Stanford University
2:35 PM Beautiful Ideas, Beautiful Mind, Impact Then, Now and Future - in Memory of Woodroofe
Jiayang Sun, George Mason University
3:05 PM Michael Woodroofe: Shape Constraints and Biased Sampling Models
Jon Wellner, University of Washington
3:35 PM Floor Discussion
 
 

181 *
Mon, 8/8/2022, 2:00 PM - 3:50 PM CC-151A
Delivering Data Differently — Invited Panel
Committee on Statistics and Disability, Justice Equity Diversity and Inclusion Outreach Group, Quantitative Communication Interest Group, Caucus for Women in Statistics
Organizer(s): Gwynn Sturdevant, Harvard Business School
Chair(s): Andrew Gelman, Columbia University
2:05 PM Delivering Data Differently
Panelists: Mark Hansen, Columbia University
Ben Rubin, Ear Studio
Kimberly Arcand, Harvard University
Jonathan Godfrey, Massey University & ONZM
Allyson Bieryla, Harvard & Smithsonian
3:40 PM Floor Discussion
 
 

182 *
Mon, 8/8/2022, 2:00 PM - 3:50 PM CC-154B
Innovations on Teaching Design of Experiments: Active Learning, Data Science, and Computer-Generated Designs — Invited Panel
Section on Physical and Engineering Sciences, Quality and Productivity Section, Section on Statistics and Data Science Education, Caucus for Women in Statistics
Organizer(s): Byran J Smucker, Miami University
Chair(s): David J. Edwards, Virginia Commonwealth University
2:05 PM Innovative Experimental Design Education: Active Learning, Data Science, and Computer-Generated Designs Presentation
Panelists: Byran J Smucker, Miami University
Nathaniel Stevens, University of Waterloo
Jacqueline Asscher, Kinneret College on the Sea of Galilee
Alan Vasquez, UCLA
 
 

183 * !
Mon, 8/8/2022, 2:00 PM - 3:50 PM CC-154A
Fuzzy Clusters: Crossing Boundaries Between Non-Academic and Academic Domains — Invited Panel
ENAR, Section on Statistics and Data Science Education, Council of Emerging and New Statisticians (CENS), Caucus for Women in Statistics
Organizer(s): Arielle K Marks-Anglin, Mathematica Inc.
Chair(s): Arielle K Marks-Anglin, Mathematica Inc.
2:05 PM Fuzzy Clusters: Crossing Boundaries Between Non-Academic and Academic Domains
Panelists: Lorin Crawford, Brown University
Branko Miladinovic, Janssen Research & Development
Bonnie Shook-Sa, University of North Carolina - Chapel Hill
Sally C Morton, Arizona State University
Adam J Sullivan, Takeda Pharmaceuticals Company
3:40 PM Floor Discussion
 
 

187 *
Mon, 8/8/2022, 2:00 PM - 3:50 PM CC-143C
Theory and Methods for Building Successful Data Analyses — Topic Contributed Papers
Section on Statistics and Data Science Education, Business Analytics/Statistics Education Interest Group, Section on Statistical Consulting, Caucus for Women in Statistics
Organizer(s): Roger Peng, Johns Hopkins Bloomberg School of Public Health
Chair(s): Stephanie C Hicks, Johns Hopkins Bloomberg School of Public Health
2:05 PM Diagnosing Data Analytic Problems in the Classroom
Roger Peng, Johns Hopkins Bloomberg School of Public Health
2:25 PM Veridical Data Science: Highlighting the Role of Judgment Calls in Data Science Practice and Training
Rebecca Barter, University of California, Berkeley; Bin Yu, University of California, Berkeley
2:45 PM Design Thinking: Empirical Evidence for Six Principles of Data Analysis
Lucy D'Agostino McGowan, Wake Forest University
3:05 PM Optimizing for Impact: Defining Success in Exploratory Data Analysis
Caitlin Hudon, OnlineMedEd
3:25 PM Reproducibility: You Can Do Data Analysis Without it, but Should You?
Tiffany A Timbers, University of British Columbia
3:45 PM Floor Discussion
 
 

223524
Mon, 8/8/2022, 6:00 PM - 7:30 PM M-Treasury
Caucus for Women in Statistics Reception and Business Meeting — Other ICW
Caucus for Women in Statistics
Organizer(s): Jessica Kohlschmidt, The Ohio State University/Caucus for Women in Statistics
 
 

223 * !
Tue, 8/9/2022, 8:30 AM - 10:20 AM CC-159AB
Forecasting for Policy in an Uncertain and Rapidly Changing World — Invited Papers
Business and Economic Statistics Section, Government Statistics Section, Section on Statistical Learning and Data Science, Caucus for Women in Statistics
Organizer(s): Andrew B Martinez, US Department of the Treasury
Chair(s): Andrew B Martinez, US Department of the Treasury
8:35 AM Augmented Information Rigidity Test
Tucker McElroy, U.S. Census Bureau; Xuguang Simon Sheng, American University
9:00 AM Jointly Modeling Male and Female Labor Participation and Unemployment
David Harry Bernstein, Environmental Protection Agency; Andrew B Martinez, US Department of the Treasury
9:25 AM The Longer-Run Forecasts of the FOMC
Jaime Marquez, Johns Hopkins University
9:50 AM The Wisdom of Diversity in Committees
Neil R Ericsson, Federal Reserve Board; David Hendry, Nuffield College; Yanki Kalfa, Rady School of Management; Jaime Marquez, Johns Hopkins University
10:15 AM Floor Discussion
 
 

239 * !
Tue, 8/9/2022, 8:30 AM - 10:20 AM CC-152B
Challenges, Successes, and Innovations in Collaborative Statistics: A Discussion Among Women in Academia, Government, and Industry — Topic Contributed Panel
Caucus for Women in Statistics, Committee on Women in Statistics, Committee on Career Development
Organizer(s): Samantha Seals, University of West Florida
Chair(s): Samantha Seals, University of West Florida
8:35 AM Challenges, Successes, and Innovations in Collaborative Statistics: A Discussion Among Women in Academia, Government, and Industry
Panelists: Cynthia Bland, RTI International
Amanda Koepke, National Institute of Standards and Technology
Motomi (Tomi) Mori, St. Jude Children's Research Hospital
Gulcin Ozer, Eli Lilly and Company
10:10 AM Floor Discussion
 
 

240 * !
Tue, 8/9/2022, 8:30 AM - 10:20 AM CC-151A
Worldwide Statistics Without Borders: Innovative Practices Developed for Project Collaborators — Topic Contributed Panel
Statistics Without Borders, Caucus for Women in Statistics
Organizer(s): Michelle Vanchu-Orosco, Greater Victoria Coalition to End Homelessness
Chair(s): Carolina Franco, NORC at University of Chicago
8:35 AM Worldwide Statistics Without Borders: Innovative Practices Developed for Project Collaborators Presentation
Panelists: Arthur Kendall, US GAO Retired
Matthew Brems, DataRobot
Jae Brodsky, Thermo Fisher Scientific
10:10 AM Floor Discussion
 
 

257 * !
Tue, 8/9/2022, 10:30 AM - 12:20 PM CC-150B
CANCELED; Using Statistics to Advance Human Rights — Invited Papers
Social Statistics Section, Committee on Law and Justice Statistics, Committee on Scientific Freedom and Human Rights, Justice Equity Diversity and Inclusion Outreach Group, Caucus for Women in Statistics
11:35 AM Floor Discussion
 
 

276 * !
Tue, 8/9/2022, 10:30 AM - 12:20 PM CC-151A
Transforming Higher Education to Achieve Equity — Topic Contributed Panel
Section on Statistics and Data Science Education, Justice Equity Diversity and Inclusion Outreach Group, Committee of Representatives to AAAS, ASA Caucus of Academic Representatives, Caucus for Women in Statistics
Organizer(s): Julia L Sharp, Colorado State University
Chair(s): Sastry Pantula, California State University - San Bernardino
10:35 AM Transforming Higher Education to Achieve Equity
Panelists: Julia L Sharp, Colorado State University
Shirley Malcom, AAAS
Abbe Herzig, TPSE
12:10 PM Floor Discussion
 
 

286 *
Tue, 8/9/2022, 10:30 AM - 12:20 PM CC-144A
Small-Area Estimation and Survey Methods Sampler — Contributed Papers
Survey Research Methods Section, Caucus for Women in Statistics
Chair(s): Chris Moriarity, National Center for Health Statistics
10:35 AM Borrowing Strength from Nearest Neighbors to Improve County-Level Estimates When Very Few or Zero Individuals Are Sampled
Hui Xie, CDC; Deborah B Rolka, CDC; Yu B Chen, CDC
10:50 AM Using Geographically Weighted Regressions to Assess Variability in Small Area Model Parameters
Jerry Joseph Maples, U.S. Census Bureau; Isaac Dompreh, U.S. Census Bureau
11:05 AM Mean Squared Error Estimation for Non-Normal Small Area Models
Kyle M Irimata, U.S. Census Bureau; Jerry J Maples, U.S. Census Bureau; Gauri Sankar Datta, U.S. Census Bureau/University of Georgia
11:20 AM Evaluating a Sample Design for Small Area Estimation and Adaptive Field Efforts Presentation
Wendy Van de Kerckhove, Westat; Tom Krenzke, Westat
11:35 AM Optimization of a Joint Confidence Region for a Ranking
Tommy Wright, U.S. Census Bureau
11:50 AM Embracing cross-loading to improve latent variable models fit: A comparison of exploratory and Bayesian structural equation modeling
Kevin B. Gittner, Kennesaw State University - Kennesaw, GA; Niloofar Ramezani, George Mason University; Katherine B. Mobley, Kennesaw State University - Kennesaw, GA
12:05 PM Floor Discussion
 
 

307 * !
Tue, 8/9/2022, 2:00 PM - 3:50 PM CC-102A
Deep Learning, Nonparametric Statistics, and Beyond — Invited Papers
Section on Nonparametric Statistics, Section on Statistical Learning and Data Science, Section on Statistical Computing, Caucus for Women in Statistics
Organizer(s): Yufeng Liu, University of North Carolina
Chair(s): Yufeng Liu, University of North Carolina
2:05 PM Kernel Estimation of Bivariate Time-Varying Coefficient Model for Longitudinal Data with Terminal Event
Bin Nan, University of California, Irvine; Yue Wang, University of California, Irvine; Jack Kalbfleisch, University of Michigan
2:30 PM Optimal Omni-Channel Individualized Treatment Rules Under Budget Constraints Using Deep Learning
Qi Xu, Unviersity of California Irvine; Haoda Fu, Eli Lilly and Company; Annie Qu, UC Irvine
2:55 PM Sleep Classification with Artificial Synthetic Imaging Data Using Convolutional Neural Networks
Peter Song, University of Michigan; Lan Shi, University of Michigan ; Marianthie Wank, University of Michigan; Yan Chen, University of Michigan ; Yibo Wang, University of Michigan; Emily Charlotte Hector, North Carolina State University
3:20 PM Population-Level Balance in Signed Networks
Weijing Tang, University of Michigan; Ji Zhu, University of Michigan
3:45 PM Floor Discussion
 
 

312 * !
Tue, 8/9/2022, 2:00 PM - 3:50 PM CC-203AB
What We Know About What We Don’t Know: Overcoming Incomplete Data in Practice — Invited Papers
ENAR, Caucus for Women in Statistics, Section on Statistics in Epidemiology
Organizer(s): Sarah C. Lotspeich, University of North Carolina at Chapel Hill
Chair(s): Marissa C. Ashner, University of North Carolina at Chapel Hill
2:05 PM Missing Data in the Baseline Health Surveys of the All of Us Research Program and the Opportunity from Multiple Information Sources
Qingxia Chen, Vanderbilt University Medical Center; Robert M Cronin, The Ohio State University; Xiaoke Feng, Vanderbilt University Medical Center; Lina Sulieman, Vanderbilt University Medical Center; Brandy Mapes, Vanderbilt University Medical Center; Shawn Garbett, Vanderbilt University Medical Center; Ashley Able, Vanderbilt University Medical Center; Rebecca Johnston, Vanderbilt University Medical Center; Mick P. Couper, University of Michigan; Brian K Ahmedani, Henry Ford Health System
2:25 PM Evaluation of Propensity Score-Calibration and Multiple Imputation for Missing Confounder Data in EHR-Based Comparative Effectiveness Research
Rebecca Hubbard, University of Pennsylvania; Daniel Vader, University of Pennsylvania; Ronac Mamtani, University of Pennsylvania
2:45 PM New Frontiers for Conditional Mean Imputation: Overcoming Censored Predictors to Model the Progression of Huntington's Disease
Sarah C. Lotspeich, University of North Carolina at Chapel Hill; Kyle F. Grosser, University of North Carolina at Chapel Hill; Tanya P. Garcia, University of North Carolina at Chapel Hill
3:05 PM Accounting for Misclassification Between Competing Events in Causal Cumulative Incidence Functions
Jessie K Edwards, UNC Chapel Hill
3:25 PM Discussant: Tanya P. Garcia, University of North Carolina at Chapel Hill
3:45 PM Floor Discussion
 
 

313 * !
Tue, 8/9/2022, 2:00 PM - 3:50 PM CC-151B
Teaching Statistical Communication — Invited Papers
Section on Statistics and Data Science Education, Caucus for Women in Statistics
Organizer(s): Shonda Kuiper, Grinnell College
Chair(s): Matt Hayat, Georgia State University
2:05 PM Audiences and Arguments: Teaching the Strategies of Effective Data Communicators Presentation
Sara Stoudt, Bucknell University
2:25 PM What 'Counts' as Statistical Communication?
Amelia McNamara, University of St Thomas
2:45 PM Data Space: Using Data and Stories to Bring Disciplines Together
Shonda Kuiper, Grinnell College
3:05 PM Argument Scaffolding: A Template for Quick and Effective Communication Presentation
Jonathan Auerbach, George Mason University; Regina Nuzzo, Gallaudet University
3:25 PM Discussant: Regina Nuzzo, Gallaudet University
3:45 PM Floor Discussion
 
 

317 * !
Tue, 8/9/2022, 2:00 PM - 3:50 PM CC-154B
The Forgotten Middle: Mid-Career Survival and Innovation — Invited Panel
Caucus for Women in Statistics, Committee on Women in Statistics
Organizer(s): Jessica Kohlschmidt, The Ohio State University/Caucus for Women in Statistics
Chair(s): Jessica Kohlschmidt, The Ohio State University/Caucus for Women in Statistics
2:05 PM The Forgotten Middle: Mid-Career Survival and Innovation
Panelists: Amarjot Kaur, Merck & Co
Nairanjana Dasgupta, Washington State University
Li Tang, St, Jude Children's Hospital
Leslie McClure, Drexel University
3:40 PM Floor Discussion
 
 

322 * !
Tue, 8/9/2022, 2:00 PM - 3:50 PM CC-143A
Novel Statistical Methods and Applications in Precision Mental Health — Topic Contributed Papers
Mental Health Statistics Section, Biometrics Section, ENAR, Caucus for Women in Statistics
Organizer(s): Adam Ciarleglio, George Washington University
Chair(s): Eva Petkova, NYU School of Medicine
2:05 PM Predicting Antidepressant Response Rate Profiles from High-Dimensional and Multimodal Data Using Ensemble Methods
Adam Ciarleglio, George Washington University
2:25 PM Precision Health Treatment Decision Rules Optimization in Mental Health Using Longitudinal Outcome Trajectories
Thaddeus Tarpey, New York University; Lanqiu Yao, New York University School of Medicine
2:45 PM Bayesian Index Models for Heterogeneous Treatment Effects
Hyung G. Park, NYU School of Medicine; Danni Wu, NYU School of Medicine; Eva Petkova, NYU School of Medicine; Thaddeus Tarpey, New York University; R. Todd Ogden, Columbia University
3:05 PM Covariate-Adjusted Value-Guided Subgroup Identification via Boosting
Jinchun Zhang, Merck & Co.; Pingye Zhang, Beigene; Junshui Ma, Merck & Co.; Yue Shentu, Daiichi Sankyo Inc.
3:45 PM Floor Discussion
 
 

325 * !
Tue, 8/9/2022, 2:00 PM - 3:50 PM CC-144B
Investigating COVID-19 and the Criminal Legal System, Policing, and Crime — Topic Contributed Papers
Social Statistics Section, Government Statistics Section, Caucus for Women in Statistics
Organizer(s): Amelia M. Haviland, Carnegie Mellon University
Chair(s): Max Rubinstein, Carnegie Mellon University
2:05 PM The Impact of COVID-19 Lockdowns on Crime: Causal Evidence from Bogota, Colombia
Maria Cuellar, University of Pennsylvania; Javier Rojas, University of Chicago; Angela Zorro Medina, The University of Chicago
2:25 PM The Impact of COVID-19 on Law Enforcement Agencies: A Multi-Wave National Survey
Cynthia Lum, George Mason University; Carl Maupin, International Association of Chiefs of Police
2:45 PM COVID Risk and Racial Disparities in Policing, Jail, and Low Wage, Essential Work: An SIR Simulation Study
Amelia M. Haviland, Carnegie Mellon University; Phillip Atiba Goff, Yale University; Tracey Lloyd, CENTER FOR POLICING EQUITY; Mikaela M Meyer, Carnegie Mellon University
3:05 PM Changes in Crime Rates During the COVID-19 Pandemic
Mikaela M Meyer, Carnegie Mellon University; Ahmed Hassafy, Carnegie Mellon University; Gina Lewis, Carnegie Mellon University; Prasun Shrestha, Carnegie Mellon University; Amelia M. Haviland, Carnegie Mellon University; Daniel Nagin, Carnegie Mellon University
3:25 PM Discussant: Daniel Nagin, Carnegie Mellon University
3:45 PM Floor Discussion
 
 

336
Tue, 8/9/2022, 2:00 PM - 3:50 PM CC-142
Statistical Modeling and Machine Learning for National Security Applications — Contributed Papers
Section on Statistics in Defense and National Security, Caucus for Women in Statistics, Text Analysis Interest Group
Chair(s): Daniel Ries, Sandia National Labs
2:05 PM Advancements in Characterizing Warhead Fragmentation Events
John Haman, Inst. for Defense Analyses; Thomas Johnson, Inst. for Defense Analyses
2:20 PM Anomaly Detection for Controller Area Network
Kelly Toppin, ICF / US Army ARL; Frederica Nelson, US Army ARL; Nandi Leslie, Raytheon/ US Army ARL
2:35 PM Estimation of Score-Based Likelihood Ratios in the Presence of Covariates, with Application to Forensics and Biometric Recognition
He Qi, George Mason University; Martin Slawski, George Mason University; Larry Tang, University of Central Florida
2:50 PM Malicious URL Detection Using Machine Learning for Security Traffic
Aritra Guha, Data Science & AI Research, AT&T Chief Data Office; Srivathsan Srinivasagopalan, Data Science & AI Research, AT&T Chief Data Office; Mani Subramaniam, Data Science & AI Research, AT&T Chief Data Office
3:05 PM Interpretation of Handwriting Evidence Using Error Rates and Score-Based Likelihood Ratios
Danica Ommen, Iowa State University; Larry Tang, University of Central Florida
3:20 PM Using Risk-Adjusted Measurement Models to Understand the Threat of Ransomware in the U.S
Divya Ramjee, American University
3:35 PM Complex-Valued Signal Denoising for Detection of Synthetic Opioids
Natalie Klein, Los Alamos National Laboratory; Michael Malone, Los Alamos National Laboratory
 
 

340
Tue, 8/9/2022, 2:00 PM - 3:50 PM CC-153
Teaching Statistics and Data Ethics in the Health Sciences — Contributed Papers
Section on Teaching of Statistics in the Health Sciences, Caucus for Women in Statistics
Chair(s): Brandon George, Thomas Jefferson University
2:05 PM An Alternate Proof of Stirling's Formula
ILHAN M. IZMIRLI, 5559500017
2:20 PM Learning by Doing: A Case Study on Graduate Students’ Experience in Survey Methodology Presentation
Evidence Simbarashe Matangi, Taylor University; Morgan A Boncyk, Purdue University; Nilupa S. Gunaratna, Purdue University
2:35 PM What Got You Here Won't Get You There: Building Students' Intuition About Correlated Data
Ashley Petersen, University of Minnesota
2:50 PM Facilitating the Integration of Ethical Reasoning into Quantitative Courses: Stakeholder Analysis, Ethical Practice Standards, and Case Studies
Rochelle E. Tractenberg, Georgetown University Medical Center
3:05 PM Intersection of Statistics, Data Science and Health Sciences
Nusrat Jahan, James Madison University
3:20 PM Floor Discussion
 
 

362 *
Wed, 8/10/2022, 8:30 AM - 10:20 AM CC-149AB
Causal Inference for Undergraduates: Teaching Correlation Does Not Imply Students Understand Causal Inference — Invited Papers
Section on Statistics and Data Science Education, Section on Teaching of Statistics in the Health Sciences, ASA-MAA Joint Committee on Undergraduate Statistics, Caucus for Women in Statistics
Organizer(s): Kelly McConville, Harvard University
Chair(s): Kelly McConville, Harvard University
8:35 AM Covariate Balance as Paramount to Causal Inference
Kari Lock Morgan, Penn State University
9:00 AM Ideas, Challenges, and Opportunities to Develop Causal Thinking in Undergraduate Statistics
Kevin Cummiskey, West Point
9:25 AM Causal Inference Throughout the Statistics Curriculum Presentation
Leslie Myint, Macalester College
9:50 AM Discussant: Jeff Witmer, Oberlin College
10:15 AM Floor Discussion
 
 

377 *
Wed, 8/10/2022, 8:30 AM - 10:20 AM CC-151B
Measuring Sex, Gender Identity, and Sexual Orientation: Findings of the National Academies — Topic Contributed Papers
Social Statistics Section, ASA LGBTQ+ Advocacy Committee, Government Statistics Section, Caucus for Women in Statistics
Organizer(s): Nancy Bates, U.S. Census Bureau
Chair(s): Tara Becker, National Academies
8:35 AM Measuring Sex, Gender Identity, and Sexual Orientation: Definitions, Principles, and Conclusions
Kellan Baker, Whitman-Walker Institute
8:55 AM Measuring Sexual Orientation: Recommendations from the National Academy of Sciences Consensus Panel Report
Nancy Bates, U.S. Census Bureau
9:15 AM Measuring Gender Identity for National Population Surveys: Results from the NASEM Committee Report
D'Lane Compton, University of New Orleans
9:35 AM Measuring Intersex: Findings of the National Academies
KATHARINE DALKE, Penn State Health
9:55 AM Implementing Affirming Sexual and Gender Minority Measures: Making the NASEM Report, 'Measuring Sex, Gender Identity, and Sexual Orientation,' Actionable
Christina N Dragon, Sexual and Gender Minority Research Office, NIH; Karen L Parker, Sexual and Gender Minority Research Office, NIH
10:15 AM Floor Discussion
 
 

384 *
Wed, 8/10/2022, 8:30 AM - 10:20 AM CC-152A
Systemic Racism and Its Population Health Impacts — Topic Contributed Panel
Section on Statistics in Epidemiology, Justice Equity Diversity and Inclusion Outreach Group, WNAR, Caucus for Women in Statistics
Organizer(s): Sahar Z Zangeneh, RTI International
Chair(s): Jill Dever, RTI International
8:35 AM Systemic Racism and Its Population Health Impacts
Panelists: Melody Goodman, New York University
Michele Andrasik, Fred Hutch Cancer Research Center
Yates Coley, Kaiser Permanente Washington Health Research Institute
Sahar Z Zangeneh, RTI International
10:10 AM Floor Discussion
 
 

436
Wed, 8/10/2022, 10:30 AM - 12:20 PM CC-Hall D
Contributed Poster Presentations: Caucus for Women in Statistics — Contributed Poster Presentations
Caucus for Women in Statistics
Chair(s): Gyuhyeong Goh, Kansas State University
20: Propensity Score Matching for Areal Data
S Shanika A De Silva, Drexel University; Leslie McClure, Drexel University
 
 

515 * !
Thu, 8/11/2022, 8:30 AM - 10:20 AM CC-152A
Advancing Nursing Research Through Biostatistics and Data Equity — Topic Contributed Panel
Caucus for Women in Statistics, Section on Teaching of Statistics in the Health Sciences, Committee on Women in Statistics
Organizer(s): John Myers, Duke University School of Nursing
Chair(s): John Myers, Duke University School of Nursing
8:35 AM Advancing Nursing Research Through Biostatistics and Data Equity
Panelists: Susan Silva, Duke University School of Nursing
Wei Pan, Duke University School of Nursing
Daniel Hatch, Duke University School of Nursing
10:10 AM Floor Discussion