WSDS 2021 Online Program

All Times EDT

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Friday, October 8

Fri, Oct 8, 10:00 AM - 11:15 AM
Virtual

GS3 - Plenary Presentation 3
General Session

Chair(s): Eunice Kim, Microsoft

Leave No Data Unturned
Mary Gray, American University

Fri, Oct 8, 11:30 AM - 12:45 PM
Virtual

CS4a - Journeys in Data Science and Stats: The Female Perspective
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

Fri, Oct 8, 11:30 AM - 12:45 PM
Virtual

CS4b - Art and Science
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

11:55 AM

How to Quantify Visual Appeal of Products
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

Fri, Oct 8, 11:30 AM - 12:45 PM
Virtual

CS4c - Improving Clinical Trials
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

11:55 AM

Sample Size Calculation for Stepped Wedge Cluster Randomized Trials with Multiple Levels of Clustering
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

Fri, Oct 8, 11:30 AM - 12:45 PM
Virtual

CS4d - Technical Contributions to Society and Public Health
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

11:55 AM

Systematic Evaluation of the Effect of Broadening Eligibility Criteria for Oncology Trials Using Real-World Data
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

Fri, Oct 8, 11:30 AM - 12:45 PM
Virtual

CS4e - Partnerships and Collaboration
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

11:55 AM

Partnering Qualitative and Quantitative Data: Telling the Whole Story
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

Fri, Oct 8, 1:15 PM - 2:30 PM
Virtual

CS5a - Women in STEM: Challenges with the 'Leaky Pipeline' Mid-Career and Opportunities to Plug Those Holes
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

Fri, Oct 8, 1:15 PM - 2:30 PM
Virtual

CS5b - Wrapping Up and Moving On: Advice for the Final Stretch of Graduate School
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

Fri, Oct 8, 1:15 PM - 2:30 PM
Virtual

CS5c - It's All About the Data
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

1:40 PM

Extracting Scalar Measures from Functional Data with Missingness
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

Fri, Oct 8, 1:15 PM - 2:30 PM
Virtual

CS5d - Statistics in Government
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

1:20 PM

Joint and Individual Variations of Sleep, Physical Activity and Circadian Rhythmicity Features in CoLaus Study
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

1:50 PM

Optimization of Headspace Sampling Parameters for Forensic Fire Debris Analysis with Discrete Outcomes
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

Fri, Oct 8, 1:15 PM - 2:30 PM
Virtual

CS5e - Speed Session
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,

1:25 PM2

Modeling Occupancy and Detection of Indy Urban Wildlife
Rasitha Jayasekare, Butler University

1:35 PM4

Discovering the Impact of Physical Activity Attributes on Sleep Using Machine Learning
Alena J. Morrissette,

1:40 PM5

Classification of Animal Sounds in a Hyperdiverse Rainforest Using Convolutional Neural Networks
Yuren Sun, University of Wisconsin-Madison

1:45 PM6

Team Behavior in League of Legends Through Data Science
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

1:55 PM8

Evaluating Dreissenid Mussel Detection Probabilities and Sampling Effort Across the Western United States
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

2:05 PM10

Comparing hybrid identification methods in phylogenetics
Marianne Bjorner, University of Wisconsin-Madison

2:10 PM11

Genomic Prediction Enhanced Sparse Testing for Multi-Environment Trials
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

2:15 PM13

Reporting Delays Correction of Cyber Incidents
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

2:25 PM15

M-GeoFARM: Mixture of Geodesic Factor Regression Model for Misaligned Pre-Shape Data Clustering Analysis
Yuanyao Tan, Florida State University

Fri, Oct 8, 2:45 PM - 4:00 PM
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

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

Fri, Oct 8, 2:45 PM - 4:00 PM
Virtual

CS6b - Data Analytics
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

3:10 PM

Risk Analytics for Renewal of Purchase Orders
Shubhi Asthana, IBM

3:30 PM

Trustworthy AI in Practice
Annalisa Cadonna, Crayon's Center of Excellence

Fri, Oct 8, 2:45 PM - 4:00 PM
Virtual

CS6c - Public Health Applications
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

3:10 PM

Regional COVID-19 Dynamics: Surrogate Synchrony in Case Infection Rates
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

Fri, Oct 8, 2:45 PM - 4:00 PM
Virtual

CS6d - This Is Statistics
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

3:10 PM

An Analysis of Estimators in Simulation Optimization-Based Feature Selection
Kimia Vahdat, North Carolina State University

3:30 PM

Multiclass Regularized Regression Integrating Prior Information
Jingxuan He, University of Southern California

Fri, Oct 8, 2:45 PM - 4:00 PM
Virtual

CS6e - Mindful Networking to Advance Diversity, Equity, and Inclusion
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

Fri, Oct 8, 4:15 PM - 5:30 PM
Virtual

Celebrating Women in Statistics and Data Science Virtual Happy Hour, Sponsored by Westat
Other

Online Program

American Statistical Association