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Virtual
Virtual
Contributed Presentations
On Demand
On Demand
New for 2021: Contributed presentations available for on-demand viewing on the virtual platform
Comparative Analysis of Statistical Methods for Single-Cell RNA Sequencing Data
Rose Adjei, Utah State University
Rose Adjei, Utah State University
Characterization and Estimation of High-Dimensional Sparse Gaussian Regression Parameters Under Closed Polyhedral Cone Constraints
Neha Agarwala, University of Maryland Baltimore County
Neha Agarwala, University of Maryland Baltimore County
A Poll-Based Bayesian Hierarchical Model for American Presidential Election
Brittany Alexander, Texas A&M University
Brittany Alexander, Texas A&M University
Pan-Cancer Identification of Clinically Relevant Genomic Subtypes Using Outcome-Weighted Integrative Clustering
Arshi Arora, Memorial Sloan Kettering Cancer Center
Arshi Arora, Memorial Sloan Kettering Cancer Center
Time Intensity Curves Modeling: Parametric and Conventional Approach Comparison
Melina Nohemi Del Angel, PepsiCo
Melina Nohemi Del Angel, PepsiCo
Operational Characteristics of Hierarchical Generalized Pairwise Comparisons Test in the Presence of Missing Data
Vaiva Deltuvaite-Thomas, IDDI
Vaiva Deltuvaite-Thomas, IDDI
Estimating a Mixing Distribution on the Sphere Using Predictive Recursion
Vaidehi Dixit, North Carolina State University
Vaidehi Dixit, North Carolina State University
Smooth Ridge Model for Computer Experiments
Asma Farid, Queen Mary University of London
Asma Farid, Queen Mary University of London
Genomic Prediction Enhanced Sparse Testing for Multi-Environment Trials
Reka Howard, University of Nebraska - Lincoln
Reka Howard, University of Nebraska - Lincoln
Propensity Score Matching Concurrently with Participant Recruitment: Examining Cardiovascular Health and PTSD
Kathleen Lamarque-Navarrete, University of California, Los Angeles
Kathleen Lamarque-Navarrete, University of California, Los Angeles
Doubly-Robust Estimator of the Difference in Restricted Mean Times Lost with Competing Risks Data
Jingyi Lin, Boston University
Jingyi Lin, Boston University
ConQuR: Batch Effect Correction for Microbiome Data in Large-Scale Epidemiology Studies via Conditional Quantile Regression
Wodan Ling, Fred Hutchinson Cancer Research Center
Wodan Ling, Fred Hutchinson Cancer Research Center
Evaluating the Dynamic Association Between Bivariate Binary Variables Over Time
Zhuangzhuang Liu, University of Iowa
Zhuangzhuang Liu, University of Iowa
Using Deep Learning Models on Images to Predict Physical Stability Failure Modes of Prototype Liquid Consumer Products
Fangyi Luo, Procter & Gamble
Fangyi Luo, Procter & Gamble
Comparing Methods for Randomized Complete Block Designs with Repeated Measures Over Time
Laurie Moulton, Procter & Gamble
Laurie Moulton, Procter & Gamble
Evaluation of Salmonella Resistance Trends Based on MICs Mixture Distributions in NARMS Retail Meat Data
Epiphanie Nyirabahizi, FDA
Epiphanie Nyirabahizi, FDA
A Bayesian Latent Class Gamma Mixture Model to Identify Clinical Visceral Leishmaniasis
Marie Ozanne, Mount Holyoke College
Marie Ozanne, Mount Holyoke College
Robust Sparse Functional Regression Model
Jasdeep Pannu, California State University, Sacramento
Jasdeep Pannu, California State University, Sacramento
Robust Group Variable Selection via Regularization
Jieun Park, Auburn University at Montgomery
Jieun Park, Auburn University at Montgomery
Normalization Methods and Statistical Inference to Identify Differentially Expressed MicroRNAs with an Application to a Residential Cohort Exposed to Environmental Toxins and Pollutants
Christina M. Pinkston, University of Louisville School of Public Health and Information Sciences
Christina M. Pinkston, University of Louisville School of Public Health and Information Sciences
Beyond P-Value: Statistical vs. Practical Significance
Tasneem Zaihra Rizvi, SUNY-Brockport
Tasneem Zaihra Rizvi, SUNY-Brockport
Bayesian Modeling of Nonlinear Poisson Regression with Artificial Neural Networks
Hansapani Rodrigo, The University of Texas Rio Grande Valley
Hansapani Rodrigo, The University of Texas Rio Grande Valley
Longitudinal Data Analysis and Its Significance in Modern-Day Research
Tamika Royal-Thomas, The University of the West Indies
Tamika Royal-Thomas, The University of the West Indies
Higher-Order Calibrated Estimators in Two-Stage Sampling
Veronica Isabel Salinas, Westat
Veronica Isabel Salinas, Westat
Forecasting Longitudinal Hierarchical Series
Seema Sangari, Kennesaw State University
Seema Sangari, Kennesaw State University
Integrating Transcriptome and Proteome Profiling of Plasmodium Falciparum Using TopS
Mihaela Sardiu, University of Kansas Medical Center
Mihaela Sardiu, University of Kansas Medical Center
Inverse Reinforcement Learning for Animal Movement Data
Toryn Schafer, Cornell University
Toryn Schafer, Cornell University
Using Data to Fight a Pandemic Locally: Development and Use of COVID-19 Metrics
Brandi Shanata, Cornell College
Brandi Shanata, Cornell College
Body Shape, Body Composition, and Performance on the US Army Combat Fitness Test
Maria Smith, US Military Academy
Maria Smith, US Military Academy
Assessment of Inflammatory Biomarkers Related to Obesity in Adolescents Using K-Means Clustering and Random Forests Algorithms
Kristina Vatcheva, The University of Texas Rio Grande Valley
Kristina Vatcheva, The University of Texas Rio Grande Valley
Constructing a Statistical Upper Bound for Defect Sizes in Aerospace Parts in the Presence of Censoring, Spatial Autocorrelation, and Batching
Katy Marie Wrenn, The Boeing Company
Katy Marie Wrenn, The Boeing Company
A Kernel-based Multivariate Test of Independence for Cluster-correlated Data
Hongjiao Liu, University of Washington
Hongjiao Liu, University of Washington
Real-Time Client Attrition Prediction in the Nurse Family Partnership Home Visiting Program
Candice Yip, Two Sigma
Candice Yip, Two Sigma
Weighted Kernel Method for Integrative Metabolomic and Metagenomic Pathway Analysis
Angela Zhang, University of Washington
Angela Zhang, University of Washington
Wednesday, October 6
Wed, Oct 6, 1:30 PM - 4:30 PM
Virtual
Virtual
SC1 - Charting Your Course for Leadership Success
Short Course (Half Day)
Short Course (Half Day)
Instructor(s): Leslie McClure, Drexel University
Leadership is a process that does not happen by accident. There are steps you can take throughout your career, including early on, that can help prepare you for leadership roles. This interactive course will provide an introduction to leadership, including topics like setting short- and long-term goals, time management, the importance of mentorship and sponsorship (and how they differ), and how to “dip your foot” into leadership early on. We will also touch on other important skills that can help make the path to leadership smoother.
Thursday, October 7
Thu, Oct 7, 10:00 AM - 11:15 AM
Virtual
Virtual
GS1 - Opening Remarks and Plenary Presentation 1
General Session
General Session
Chair(s): Lucy D’Agostino McGowan, Wake Forest University
Strategic Leadership in the Pursuit of Data Science for Black Lives
Talitha Washington, Clark Atlanta University and Atlanta University Center
Talitha Washington, Clark Atlanta University and Atlanta University Center
Thu, Oct 7, 11:30 AM - 12:45 PM
Virtual
Virtual
CS1a - R-Ladies: Building, Growing, and Sustaining a Community
Panel Session
Panel Session
Chair(s): Mine Cetinkaya-Rundel, Duke University, RStudio
Panelist(s): Mouna Belaid, Prime Analytics; Yanina Bellini Saibene, Instituto Nacional de Tecnología Agropecuaria; Shel Kariuki, Data Analytics Consultant; Athanasia Mowinckel, Center for Lifespan Changes in Brain and Cognition; Katherine Simeon, Northeastern University
11:35 AM
R-Ladies: Building, Growing, and Sustaining a Community
Shel Kariuki, Data Analytics Consultant; Mouna Belaid, Prime Analytics; Athanasia Mowinckel, Center for Lifespan Changes in Brain and Cognition; Yanina Bellini Saibene, Instituto Nacional de Tecnología Agropecuaria; Katherine Simeon, Northeastern University
Shel Kariuki, Data Analytics Consultant; Mouna Belaid, Prime Analytics; Athanasia Mowinckel, Center for Lifespan Changes in Brain and Cognition; Yanina Bellini Saibene, Instituto Nacional de Tecnología Agropecuaria; Katherine Simeon, Northeastern University
Thu, Oct 7, 11:30 AM - 12:45 PM
Virtual
Virtual
CS1b - Strategies for the Workplace
Concurrent Session
Concurrent Session
Chair(s): Seema Sangari, Kennesaw State University
11:35 AM
Neurodiversity in the Workplace: My Autism Journey
Christine P. Chai, Microsoft
Christine P. Chai, Microsoft
11:55 AM
Resilience in STEM: Navigating Common Mental Traps
Laura Knapp Lancheros, Elder Research
Laura Knapp Lancheros, Elder Research
12:15 PM
On Becoming a Statistician/Data Scientist
Dalene Stangl, Carnegie Mellon University
Dalene Stangl, Carnegie Mellon University
Thu, Oct 7, 11:30 AM - 12:45 PM
Virtual
Virtual
CS1c - Caucus for Women in Statistics Societal Impact Award
Panel Session
Panel Session
Chair(s): Jessica Kohlschmidt, The Ohio State University CCC; Wendy Lou, University of Toronto
Panelist(s): Rebecca Betensky, NYU; Nairanjana Dasgupta, Washington State University; Melody Goodman, NYU
11:35 AM
Caucus for Women in Statistics Societal Impact Award
Rebecca Betensky, NYU; Nairanjana Dasgupta, Washington State University; Melody Goodman, NYU
Rebecca Betensky, NYU; Nairanjana Dasgupta, Washington State University; Melody Goodman, NYU
Thu, Oct 7, 11:30 AM - 12:45 PM
Virtual
Virtual
CS1d - Building Your Influence
Concurrent Session
Concurrent Session
Chair(s): Brianna Hitt, United States Air Force Academy
CANCELLED: Intro to Open: Making an Impact with Your Research
Ande Catherine Nichols, Taylor & Francis Group
Ande Catherine Nichols, Taylor & Francis Group
11:35 AM
Stand Up to Stand Out: Self-Advocacy for the Reluctant
Susan Morris, Susan Morris Coaching
Susan Morris, Susan Morris Coaching
11:55 AM
Finding Our Purpose
Julia Jean Smith, Kaiser Permanente Washington Health Research Institute
Julia Jean Smith, Kaiser Permanente Washington Health Research Institute
Thu, Oct 7, 11:30 AM - 12:45 PM
Virtual
Virtual
CS1e - Successful Practice
Concurrent Session
Concurrent Session
Chair(s): Katharine Fischer Berry Correia, Amherst College
11:35 AM
Learning Through a Pandemic: Encouraging Positive Mindset in Statistics Education
Ramadha Dilhani Piyadi Gamage, Western Washington University
Ramadha Dilhani Piyadi Gamage, Western Washington University
11:55 AM
Recovering the Compensation Strategies for Tornado-Induced Property Losses via Statistical Manifold Learning
Thilini Vasana Mahanama, Texas Tech University
Thilini Vasana Mahanama, Texas Tech University
Thu, Oct 7, 1:15 PM - 2:30 PM
Virtual
Virtual
CS2a - Which Path Should I Choose? A Discussion of Employment in Academia, Industry, Government, and Nonprofits
Panel Session
Panel Session
Chair(s): Amanda Allen Koepke, National Institute of Standards and Technology
Panelist(s): Claire McKay Bowen, Urban Institute; Lorena Maxwell, Eli Lilly; Julia Palacios, Stanford; Laura Yee, National Cancer Institute
1:20 PM
Which Path Should I Choose? A Discussion of Employment in Academia, Industry, Government, and Nonprofits
Amanda Allen Koepke, National Institute of Standards and Technology
Amanda Allen Koepke, National Institute of Standards and Technology
Thu, Oct 7, 1:15 PM - 2:30 PM
Virtual
Virtual
CS2b - Strategies for Successful Organizations
Concurrent Session
Concurrent Session
Chair(s): Ramadha Dilhani Piyadi Gamage, Western Washington University
1:20 PM
Building a Data Science Community
Lauren Stern, Audi of America
Lauren Stern, Audi of America
1:40 PM
Managing Organizational Change Fatigue in the Midst of Data Modernization
Rashida Dorsey, Federal Housing Finance Agency
Rashida Dorsey, Federal Housing Finance Agency
2:00 PM
Using the Customer Lifetime Value (CLV) to Avoid a Mad Tea Party
Fabiola Canas, Grupo Financiero Banorte
Fabiola Canas, Grupo Financiero Banorte
Thu, Oct 7, 1:15 PM - 2:30 PM
Virtual
Virtual
CS2c - Celebrating Our Technical Expertise
Concurrent Session
Concurrent Session
Chair(s): Samantha Robinson, University of Arkansas
1:20 PM
Implementing Order and Shape Constraints in Survey Data Analysis
Xiyue Liao, California State University, Long Beach
Xiyue Liao, California State University, Long Beach
1:40 PM
Learning About Homelessness Using Linked Survey and Administrative Data
Angela Jean Wyse, The University of Chicago
Angela Jean Wyse, The University of Chicago
2:00 PM
Model-Based Estimates for Farm Labor Quantities
Lu Chen, NISS-NASS, USDA
Lu Chen, NISS-NASS, USDA
Thu, Oct 7, 1:15 PM - 2:30 PM
Virtual
Virtual
CS2d - CWS: Data Science Curricula and Pedagogy
Panel Session
Panel Session
Chair(s): Linda Zhao, University of Pennsylvania
Panelist(s): Lucy D’Agostino McGowan, Wake Forest University; Leanna House, Virginia Tech; Nusrat Jahan, James Madison University; Linda Zhao, University of Pennsylvania
1:20 PM
CWS: Data Science Curricula and Pedagogy
Lucy D’Agostino McGowan, Wake Forest University; Leanna House, Virginia Tech; Nusrat Jahan, James Madison University; Linda Zhao, University of Pennsylvania
Lucy D’Agostino McGowan, Wake Forest University; Leanna House, Virginia Tech; Nusrat Jahan, James Madison University; Linda Zhao, University of Pennsylvania
Thu, Oct 7, 1:15 PM - 2:30 PM
Virtual
Virtual
CS2e - Speed Session
e-Poster/Speed
e-Poster/Speed
Chair(s): Jessica Kohlschmidt, The Ohio State University CCC; Donna LaLonde, ASA
1:20 PM1
Addressing Bias, Equity, and Anti-Racism as a Technical Contributor
Emily Catherine Hadley, RTI International
Emily Catherine Hadley, RTI International
1:25 PM2
COVID-19 Mortality Age and Gender Disparities in San Diego County
Sarah Jing Dong, Westview High School
Sarah Jing Dong, Westview High School
1:30 PM3
Engaging Students in Community-Based Learning Through Collaborative Data Analysis Events
Elizabeth Brondos Fry, St. Catherine University
Elizabeth Brondos Fry, St. Catherine University
1:35 PM4
Classification of EEG Signals: An Interpretable Approach Using Functional Data Analysis
Yuyan Yi, Auburn University
Yuyan Yi, Auburn University
1:40 PM5
Analysis and Forecast of US Workable Adolescent Male Unemployment
Wenjing Li, University of California, Santa Barbara
Wenjing Li, University of California, Santa Barbara
1:45 PM6
Identifying and Developing Effective COVID-19 Testing Strategies for Smaller Residential Colleges
Brandi Shanata, Cornell College
Brandi Shanata, Cornell College
1:50 PM7
Reflection on the Master's Program Fusing Geosciences and Data Science
Wen-wen Tung, Purdue University
Wen-wen Tung, Purdue University
1:55 PM8
Comparing Daily and Weekly Diary Data Analyses of Relationship Conflict Reports in a Nationally Representative Young Adult Sample
Poulami Maitra, NORC at the University of Chicago
Poulami Maitra, NORC at the University of Chicago
2:00 PM9
2:05 PM10
Childbirth as a Risk Factor of Suicide Ideation in South Korean Women
Kayden Yujeong, California State University, Fullerton
Kayden Yujeong, California State University, Fullerton
2:10 PM11
A Statistical Method for Identifying Sea Ice Leads
Hannah Director, Colorado School of Mines
Hannah Director, Colorado School of Mines
2:15 PM12
Training Data-Savvy Workforce: The Impact of the SOLSTICE Approach
Elena N. Naumova, .
Elena N. Naumova, .
2:20 PM13
Promoting and Strengthening Women in Statistics and Data Sciences Organizations at International and National Level
Abdi Abubeker Usman, Haramaya University
Abdi Abubeker Usman, Haramaya University
2:25 PM14
NAICS 2022: An Updated Process of Data Collection
Sania Khan, Bureau of Labor Statistics
Sania Khan, Bureau of Labor Statistics
Thu, Oct 7, 2:45 PM - 4:00 PM
Virtual
Virtual
CS3a - It’s Never Too Early to Develop Leadership Skills
Panel Session
Panel Session
Chair(s): Mary D. Sammel, Colorado School of Public Health/CIDA
2:50 PM
It’s Never Too Early to Develop Leadership Skills
Nichole E. Carlson, Colorado School of Public Health/CIDA; Alexandra L. Hanlon, Virginia Tech; Leslie McClure, Drexel University; Sally C. Morton, Knowledge Enterprise, Arizona State University; Dionne Price, FDA/CDER; Mary D. Sammel, Colorado School of Public Health/CIDA
Nichole E. Carlson, Colorado School of Public Health/CIDA; Alexandra L. Hanlon, Virginia Tech; Leslie McClure, Drexel University; Sally C. Morton, Knowledge Enterprise, Arizona State University; Dionne Price, FDA/CDER; Mary D. Sammel, Colorado School of Public Health/CIDA
Thu, Oct 7, 2:45 PM - 4:00 PM
Virtual
Virtual
CS3b - Bayesian Statistics
Concurrent Session
Concurrent Session
Chair(s): Tomi Mori, St. Judes Hospital
2:50 PM
Approximate Cross-Validated Mean Estimates for Bayesian Hierarchical Regression Models
Amy Zhang, Penn State
Amy Zhang, Penn State
3:10 PM
An Empirical Bayes Approach to Estimating Dynamic Models of Co-Regulated Gene Expression
Sara Venkatraman, Cornell University
Sara Venkatraman, Cornell University
Thu, Oct 7, 2:45 PM - 4:00 PM
Virtual
Virtual
CS3c - Cloud Computing, Neural Networks, and Genetic Algorithms
Concurrent Session
Concurrent Session
Chair(s): Christine P. Chai, Microsoft
2:50 PM
Implement Time Series Prediction on Potato Chips Process Control
Jingting Hui, PepsiCo
Jingting Hui, PepsiCo
3:10 PM
When Do We Need a New Neural Network?
Anna Malinovskaya, Leibniz University Hannover
Anna Malinovskaya, Leibniz University Hannover
3:30 PM
Performance of a Genetic Algorithm for DeGroot Opinion Diffusion Model Parameter Estimation Under Assumption Violations
Kara Layne Johnson, Montana State University
Kara Layne Johnson, Montana State University
Thu, Oct 7, 2:45 PM - 4:00 PM
Virtual
Virtual
CS3d - Understanding Our World
Concurrent Session
Concurrent Session
Chair(s): Sarah C. Lotspeich, The University of North Carolina at Chapel Hill
2:50 PM
Spatial Misalignment Between Two Point Processes with an Application to Police Use of Force and Violent Crime
Claire Kelling, Penn State
Claire Kelling, Penn State
3:10 PM
3:30 PM
K-12 Community Partnerships as a Method of Biostatistics Promotion
Marta Shore, University of Minnesota School of Public Health; Rachel Zilinskas, University of Minnesota School of Public Health
Marta Shore, University of Minnesota School of Public Health; Rachel Zilinskas, University of Minnesota School of Public Health
Thu, Oct 7, 2:45 PM - 4:00 PM
Virtual
Virtual
CS3e - Speed Session
e-Poster/Speed
e-Poster/Speed
Chair(s): Jessica Kohlschmidt, The Ohio State University CCC; Donna LaLonde, ASA
2:45 PM1
Co-occurrence of confirmed COVID-19 and Type 2 diabetes mellitus among adult inpatient admissions, 2020 National Hospital Care Survey
Catherine Rappole, National Center for Health Statistics
Catherine Rappole, National Center for Health Statistics
2:50 PM2
Comparison of Platforms for Testing Antibodies to Chlamydia Trachomatis Antigens in the Democratic Republic of the Congo and Togo
Jessica Hoehner,
Jessica Hoehner,
2:55 PM3
Accounting for Patient Heterogeneity in Machine Learning Risk Prediction Models
Ellie Liu, Interlake High School
Ellie Liu, Interlake High School
3:00 PM4
Impact of COVID-19 Pandemic on Student Learning and Course Preferences at a Minority-Serving Institution
Sinjini Mitra, California State University, Fullerton
Sinjini Mitra, California State University, Fullerton
3:05 PM5
Predicting the Impacts of a Pandemic: An Analysis of the Relationship Between Social Vulnerability and COVID-19 in the United States
Lydia F. Carter, Miami University
Lydia F. Carter, Miami University
3:10 PM6
Aggregating Statistical Models and Human Judgement
Allison Marie Codi, Lehigh University
Allison Marie Codi, Lehigh University
3:15 PM7
Pandemic Dilemmas: Human Perception of Exponentially Increasing Data Displayed on a Log Scale Evaluated Through Experimental Graphics Tasks
Emily A. Robinson, University of Nebraska - Lincoln
Emily A. Robinson, University of Nebraska - Lincoln
3:20 PM8
Factors Associated with County-Level Mental Health During the COVID-19 Pandemic
Carly Patricia Lupton-Smith, The Johns Hopkins University
Carly Patricia Lupton-Smith, The Johns Hopkins University
3:25 PM9
Spatial Epidemics Prediction by a Random Forest Classifier and Bayesian
Salha Qahl, University of Calgary
Salha Qahl, University of Calgary
3:30 PM10
Quantifying the Prevalence of Autoimmune Diseases in the United States
Gagana Borra, Center for Population Health Informatics at Washington University School of Medicine
Gagana Borra, Center for Population Health Informatics at Washington University School of Medicine
3:35 PM11
Incorporating Cross-Functional Input to Account for Contextual Factors in the Analytic Design of Real-World Studies That Leverage Health Care Data
Helene Fevrier, Verana Health
Helene Fevrier, Verana Health
3:40 PM12
3:45 PM13
A Hamiltonian Monte-Carlo Sampling Scheme for Bayesian Compartmental Epidemic Models
Helin Hernandez, University of Iowa
Helin Hernandez, University of Iowa
3:50 PM14
Using Artificial Neural Network to Model Factors That Influence the Action of a Person Going to Coronavirus Testing
Sheila Rutto, The University of Texas Rio Grande Valley
Sheila Rutto, The University of Texas Rio Grande Valley
3:55 PM15
County-Level Low Birth Weight Rates and Associated Contextual Factors in the United States, 2011-2016
Pallavi Dwivedi, University of Maryland College Park
Pallavi Dwivedi, University of Maryland College Park
Thu, Oct 7, 4:15 PM - 5:30 PM
Virtual
Virtual
GS2 - Plenary Presentation 2: Caucus for Women in Statistics Presidents Panel
General Session
General Session
Chair(s): Jessica Kohlschmidt, The Ohio State University CCC; Donna LaLonde, ASA
Panelist(s): Nancy Flournoy, University of Missouri; Nancy Gordon, US Census Bureau; Stephanie Shipp, University of Virginia; Jiayang Sun, George Mason University
Thu, Oct 7, 5:35 PM - 6:30 PM
Virtual
Virtual
Opening Mixer
Other
Other
Friday, October 8
Fri, Oct 8, 10:00 AM - 11:15 AM
Virtual
Virtual
GS3 - Plenary Presentation 3
General Session
General Session
Chair(s): Eunice Kim, Microsoft
Fri, Oct 8, 11:30 AM - 12:45 PM
Virtual
Virtual
CS4a - Journeys in Data Science and Stats: The Female Perspective
Panel Session
Panel Session
Chair(s): Nairanjana Dasgupta, Washington State University; Tomi Mori, St. Judes Hospital
Panelist(s): Nancy Flournoy, University of Missouri; Brittany Green, University of Louisville; Jessica Kohlschmidt, The Ohio State University CCC; Tatumn Laughery, Washington State University; Wendy Lou, University of Toronto
11:35 AM
Journeys in Data Science and Stats: The Female Perspective
Nancy Flournoy, University of Missouri; Brittany Green, University of Louisville; Jessica Kohlschmidt, The Ohio State University CCC; Tatumn Laughery, Washington State University; Wendy Lou, University of Toronto
Nancy Flournoy, University of Missouri; Brittany Green, University of Louisville; Jessica Kohlschmidt, The Ohio State University CCC; Tatumn Laughery, Washington State University; Wendy Lou, University of Toronto
Fri, Oct 8, 11:30 AM - 12:45 PM
Virtual
Virtual
CS4b - Art and Science
Concurrent Session
Concurrent Session
Chair(s): Laurie Tupper, Mount Holyoke College
11:35 AM
Similarity, Distance, and Self-Similarity in Renaissance Music
Laurie Tupper, Mount Holyoke College
Laurie Tupper, Mount Holyoke College
11:55 AM
How to Quantify Visual Appeal of Products
Subhasree Chatterjee,
Subhasree Chatterjee,
12:15 PM
The Creation of a Data Art Collection to Raise Awareness of Racial Disparities in Obstetrics and Gynecology Health Care
Katharine Fischer Berry Correia, Amherst College
Katharine Fischer Berry Correia, Amherst College
Fri, Oct 8, 11:30 AM - 12:45 PM
Virtual
Virtual
CS4c - Improving Clinical Trials
Concurrent Session
Concurrent Session
Chair(s): Wendy Martinez, Bureau of Labor Statistics
11:35 AM
Interpreting a Bayesian Phase II Futility Clinical Trial
Christy Cassarly, Medical University of South Carolina
Christy Cassarly, Medical University of South Carolina
11:55 AM
Sample Size Calculation for Stepped Wedge Cluster Randomized Trials with Multiple Levels of Clustering
Kendra Plourde, Yale University
Kendra Plourde, Yale University
12:15 PM
Doubly-Robust Estimator of the Difference in Restricted Mean Times Lost with Competing Risks Data
Jingyi Lin, Boston University
Jingyi Lin, Boston University
Fri, Oct 8, 11:30 AM - 12:45 PM
Virtual
Virtual
CS4d - Technical Contributions to Society and Public Health
Concurrent Session
Concurrent Session
Chair(s): Yan Zhuang,
11:35 AM
Nonparametric Sensitivity Analysis in the Generalization of Experimental Results
Melody Huang, University of California, Los Angeles
Melody Huang, University of California, Los Angeles
11:55 AM
Systematic Evaluation of the Effect of Broadening Eligibility Criteria for Oncology Trials Using Real-World Data
Shemra Rizzo, Genentech
Shemra Rizzo, Genentech
12:15 PM
Prospective Individual Patient Data Meta-Analysis: Evaluating Convalescent Plasma for COVID-19
Danni Wu, NYU Grossman School of Medicine
Danni Wu, NYU Grossman School of Medicine
Fri, Oct 8, 11:30 AM - 12:45 PM
Virtual
Virtual
CS4e - Partnerships and Collaboration
Concurrent Session
Concurrent Session
Chair(s): Jessica Behrle, Johnson & Johnson Pharmaceutical Research & Development
11:35 AM
Building Your Career in Academia: Benefits of Joining a Statistics or Biostatistics Academic Unit
Julia N. Soulakova, University of Central Florida
Julia N. Soulakova, University of Central Florida
11:55 AM
Partnering Qualitative and Quantitative Data: Telling the Whole Story
Meghan Tooman, DORIS Research
Meghan Tooman, DORIS Research
12:15 PM
Collaborating to Develop Prediction Models: Advice from a Recent Project
Jaime Lynn Speiser, Wake Forest School of Medicine
Jaime Lynn Speiser, Wake Forest School of Medicine
Fri, Oct 8, 1:15 PM - 2:30 PM
Virtual
Virtual
CS5a - Women in STEM: Challenges with the 'Leaky Pipeline' Mid-Career and Opportunities to Plug Those Holes
Panel Session
Panel Session
Panelist(s): Katie Campbell, Novartis; Meijuan Li, Foundation Medicine, Inc; Stacey Slone, University of Kentucky; Sheri Smith, Courante Oncology
Moderator(s): Allison Florance, Novartis Pharmaceuticals
1:20 PM
Women in Stem: Challenges with the “leaky pipeline” mid-career and opportunities to plug those holes
Katie Campbell, Novartis; Allison Florance, Novartis Pharmaceuticals; Meijuan Li, Foundation Medicine, Inc; Stacey Slone, University of Kentucky; Sheri Smith, Courante Oncology
Katie Campbell, Novartis; Allison Florance, Novartis Pharmaceuticals; Meijuan Li, Foundation Medicine, Inc; Stacey Slone, University of Kentucky; Sheri Smith, Courante Oncology
Fri, Oct 8, 1:15 PM - 2:30 PM
Virtual
Virtual
CS5b - Wrapping Up and Moving On: Advice for the Final Stretch of Graduate School
Panel Session
Panel Session
Chair(s): Hannah Director, Colorado School of Mines
Panelist(s): Claire McKay Bowen, Urban Institute; Maryclare Griffin, University of Massachusetts, Amherst; Yawen Guan, University of Nebraska - Lincoln; Dinah Shender, Google
1:20 PM
Wrapping Up and Moving On: Advice for the Final Stretch of Graduate School
Claire McKay Bowen, Urban Institute; Hannah Director, Colorado School of Mines; Maryclare Griffin, University of Massachusetts, Amherst; Yawen Guan, University of Nebraska - Lincoln; Dinah Shender, Google
Claire McKay Bowen, Urban Institute; Hannah Director, Colorado School of Mines; Maryclare Griffin, University of Massachusetts, Amherst; Yawen Guan, University of Nebraska - Lincoln; Dinah Shender, Google
Fri, Oct 8, 1:15 PM - 2:30 PM
Virtual
Virtual
CS5c - It's All About the Data
Concurrent Session
Concurrent Session
Chair(s): Jaime Lynn Speiser, Wake Forest School of Medicine
1:20 PM
The Interplay of Demographic Variables and Social Distancing Scores in the Deep Prediction of US COVID-19 Cases
Francesca Tang, Princeton University
Francesca Tang, Princeton University
1:40 PM
Extracting Scalar Measures from Functional Data with Missingness
Lanqiu Yao, New York University School of Medicine
Lanqiu Yao, New York University School of Medicine
2:00 PM
Sequential Pattern Mining of Electronic Health Record for Early Diagnosis of Amyotrophic Lateral Sclerosis
Cindy Liang, Texas Academy of Mathematics and Science
Cindy Liang, Texas Academy of Mathematics and Science
Fri, Oct 8, 1:15 PM - 2:30 PM
Virtual
Virtual
CS5d - Statistics in Government
Concurrent Session
Concurrent Session
Chair(s): Amanda Allen Koepke, National Institute of Standards and Technology
1:15 PM
Statistics in Government
Sun Jung Kang, NIH; Yei Eun Shin, NIH; Mary Gregg, National Institute of Standards and Technology; Amanda Allen Koepke, National Institute of Standards and Technology
Sun Jung Kang, NIH; Yei Eun Shin, NIH; Mary Gregg, National Institute of Standards and Technology; Amanda Allen Koepke, National Institute of Standards and Technology
1:20 PM
Joint and Individual Variations of Sleep, Physical Activity and Circadian Rhythmicity Features in CoLaus Study
Sun Jung Kang, NIH
Sun Jung Kang, NIH
1:35 PM
Weight calibration to improve the efficiency of absolute risk estimates from nested case-control designs
Yei Eun Shin, NIH
Yei Eun Shin, NIH
1:50 PM
Optimization of Headspace Sampling Parameters for Forensic Fire Debris Analysis with Discrete Outcomes
Mary Gregg, National Institute of Standards and Technology
Mary Gregg, National Institute of Standards and Technology
2:05 PM
Identifying Best Practices for Inter-Laboratory Comparisons and Between-Method Studies
Amanda Allen Koepke, National Institute of Standards and Technology
Amanda Allen Koepke, National Institute of Standards and Technology
Fri, Oct 8, 1:15 PM - 2:30 PM
Virtual
Virtual
CS5e - Speed Session
e-Poster/Speed
e-Poster/Speed
Chair(s): Jessica Kohlschmidt, The Ohio State University CCC; Donna LaLonde, ASA
1:20 PM1
Dimension Reduction and Computational Time
Clare Hillmer,
Clare Hillmer,
1:25 PM2
Modeling Occupancy and Detection of Indy Urban Wildlife
Rasitha Jayasekare, Butler University
Rasitha Jayasekare, Butler University
1:35 PM4
Discovering the Impact of Physical Activity Attributes on Sleep Using Machine Learning
Alena J. Morrissette,
Alena J. Morrissette,
1:40 PM5
Classification of Animal Sounds in a Hyperdiverse Rainforest Using Convolutional Neural Networks
Yuren Sun, University of Wisconsin-Madison
Yuren Sun, University of Wisconsin-Madison
1:45 PM6
Team Behavior in League of Legends Through Data Science
Chantal Larose, Eastern Connecticut State University
Chantal Larose, Eastern Connecticut State University
1:50 PM7
Investigation of False Discovery Rate for Microbiome Data from Unreplicated Block Design
Jung Ae NA Lee, University of Massachusetts Medical School
Jung Ae NA Lee, University of Massachusetts Medical School
1:55 PM8
Evaluating Dreissenid Mussel Detection Probabilities and Sampling Effort Across the Western United States
Meaghan Elizabeth Winder, Montana State University
Meaghan Elizabeth Winder, Montana State University
2:00 PM9
Examining Effort in 1D Uncertainty Communication Using Individual Differences in Working Memory and NASA-TLX
Helia Hosseinpour, University of California, Merced
Helia Hosseinpour, University of California, Merced
2:05 PM10
Comparing hybrid identification methods in phylogenetics
Marianne Bjorner, University of Wisconsin-Madison
Marianne Bjorner, University of Wisconsin-Madison
2:10 PM11
Genomic Prediction Enhanced Sparse Testing for Multi-Environment Trials
Reka Howard, University of Nebraska - Lincoln
Reka Howard, University of Nebraska - Lincoln
2:10 PM12
New Feature Selection Methods with Application to Brain EEG Data
Chunming Zhang, University of Wisconsin-Madison
Chunming Zhang, University of Wisconsin-Madison
2:15 PM13
Reporting Delays Correction of Cyber Incidents
Seema Sangari, Kennesaw State University
Seema Sangari, Kennesaw State University
2:20 PM14
A Next-Generation Stability Budget for Refrigerated Biologics Through Statistical Simulation and Visualizations
Aimee C. Hughes, Eli Lilly and Company
Aimee C. Hughes, Eli Lilly and Company
2:25 PM15
M-GeoFARM: Mixture of Geodesic Factor Regression Model for Misaligned Pre-Shape Data Clustering Analysis
Yuanyao Tan, Florida State University
Yuanyao Tan, Florida State University
Fri, Oct 8, 2:45 PM - 4:00 PM
Virtual
Virtual
CS6a - Strategies for Use of Training, Mentoring, and Sponsoring for Increasing Women in Biostatistics and Data Science Workforce: Machine Learning-Based Predictive Models for Assisting with COVID-19 Crisis
Panel Session
Panel Session
Chair(s): Madhu Mazumdar, Icahn School of Medicine at Mount Sinai
Panelist(s): Kavita Dharmarajan, Icahn School of Medicine at Mount Sinai; Arash Kia, Icahn School of Medicine at Mount Sinai; Madhu Mazumdar, Icahn School of Medicine at Mount Sinai; Kim-anh-Nhi Nguyen, Icahn School of Medicine at Mount Sinai; Serena Zhan, Icahn School of Medicine at Mount Sinai
2:50 PM
Strategies for Use of Training, Mentoring, and Sponsoring for Increasing Women in Biostatistics and Data Science Workforce: Machine Learning-Based Predictive Models for Assisting with COVID-19 Crisis
Kavita Dharamrajan, Icahn School of Medicine at Mount Sinai; Arash Kia, Icahn School of Medicine at Mount Sinai; Madhu Mazumdar, Icahn School of Medicine at Mount Sinai; Kim-anh-Nhi Nguyen, Icahn School of Medicine at Mount Sinai; Serena Zhan, Icahn School of Medicine at Mount Sinai
Kavita Dharamrajan, Icahn School of Medicine at Mount Sinai; Arash Kia, Icahn School of Medicine at Mount Sinai; Madhu Mazumdar, Icahn School of Medicine at Mount Sinai; Kim-anh-Nhi Nguyen, Icahn School of Medicine at Mount Sinai; Serena Zhan, Icahn School of Medicine at Mount Sinai
Fri, Oct 8, 2:45 PM - 4:00 PM
Virtual
Virtual
CS6b - Data Analytics
Concurrent Session
Concurrent Session
Chair(s): Arshi Arora, Memorial Sloan Kettering Cancer Center
2:50 PM
Data-Driven Approach to Detect and Predict the Initiation of the Madden-Julian Oscillation
Wen-wen Tung, Purdue University
Wen-wen Tung, Purdue University
3:10 PM
Risk Analytics for Renewal of Purchase Orders
Shubhi Asthana, IBM
Shubhi Asthana, IBM
3:30 PM
Trustworthy AI in Practice
Annalisa Cadonna, Crayon's Center of Excellence
Annalisa Cadonna, Crayon's Center of Excellence
Fri, Oct 8, 2:45 PM - 4:00 PM
Virtual
Virtual
CS6c - Public Health Applications
Concurrent Session
Concurrent Session
Chair(s): Xiyue Liao, California State University, Long Beach
2:50 PM
The Trend, Forecast, and Influential Factors of COVID-19 in the Middle East and North Africa (MENA) Countries
Wanchunzi Yu, Bridgewater State University
Wanchunzi Yu, Bridgewater State University
3:10 PM
Regional COVID-19 Dynamics: Surrogate Synchrony in Case Infection Rates
Samantha Robinson, University of Arkansas
Samantha Robinson, University of Arkansas
3:30 PM
Optimal Multi-Wave Validation of Secondary Use Data with Outcome and Exposure Misclassification
Sarah C. Lotspeich, The University of North Carolina at Chapel Hill
Sarah C. Lotspeich, The University of North Carolina at Chapel Hill
Fri, Oct 8, 2:45 PM - 4:00 PM
Virtual
Virtual
CS6d - This Is Statistics
Concurrent Session
Concurrent Session
Chair(s): Wenjing Li, University of California, Santa Barbara
2:50 PM
Assessing the Precision of a Polygon Approximation Methodology in Statistical Shape Analysis with Regard to a Classification Problem
Chalani Prematilake, East Carolina University
Chalani Prematilake, East Carolina University
3:10 PM
An Analysis of Estimators in Simulation Optimization-Based Feature Selection
Kimia Vahdat, North Carolina State University
Kimia Vahdat, North Carolina State University
3:30 PM
Multiclass Regularized Regression Integrating Prior Information
Jingxuan He, University of Southern California
Jingxuan He, University of Southern California
Fri, Oct 8, 2:45 PM - 4:00 PM
Virtual
Virtual
CS6e - Mindful Networking to Advance Diversity, Equity, and Inclusion
Panel Session
Panel Session
Chair(s): Emma Grace Thomas, RAND Corporation
Panelist(s): Emma Benn, Icahn School of Medicine at Mount Sinai; Heather Mattie, Harvard T.H. Chan School of Public Health; Natalie Cheung Rotelli, Eli Lilly and Company
2:50 PM
Mindful Networking to Advance Diversity, Equity, and Inclusion
Emma Benn, Icahn School of Medicine at Mount Sinai; Heather Mattie, Harvard T.H. Chan School of Public Health; Natalie Cheung Rotelli, Eli Lilly and Company; Emma Grace Thomas, RAND Corporation
Emma Benn, Icahn School of Medicine at Mount Sinai; Heather Mattie, Harvard T.H. Chan School of Public Health; Natalie Cheung Rotelli, Eli Lilly and Company; Emma Grace Thomas, RAND Corporation
Fri, Oct 8, 4:15 PM - 5:30 PM
Virtual
Virtual
Celebrating Women in Statistics and Data Science Virtual Happy Hour, Sponsored by Westat
Other
Other