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Computational Statistics

Data Visualization

Education

Machine Learning

Practice and Applications

Software & Data Science Technologies

Wednesday, June 3

Applying Network and Graph Analysis Fill out evaluation
Invited

Wed, Jun 3, 1:15 PM - 2:50 PM

Organizer(s): Brendan Newlon, Center for Creative Leadership

Chair(s): Sharmistha Guha, Duke University

1:20 PM

Applying Graph Analysis to Explore Thematic Complexity in Qualitative Interview Data
Brendan Newlon, Center for Creative Leadership

1:50 PM

Learning Social Network from Text Data
Presentation Xiaoyi Yang, Carnegie Mellon University

2:20 PM

Network Optimization to Evaluate Public Transportation Systems: A Traveling Salesman Problem Example in Paris
Carlos Pinheiro, SAS Institute

Thursday, June 4

Practice and Applications 1 Fill out evaluation
Contributed Refereed

Thu, Jun 4, 10:00 AM - 11:35 AM

Chair(s): David Hunter, Penn State University

10:05 AM

Leveraging Methods for Subsampling: Toward a Realistic Evaluation
Presentation Changrui Liu, University of Kentucky

10:35 AM

Improving Cloud Infrastructure Capacity Planning Decisions with Scalable Human-in-the-loop Scenario Forecasting
Presentation Jiaping Zhang, Salesforce

11:05 AM

Finite Sample Properties of an Exponential-Compound Symmetric Covariance Structure
Amber K. Weydert, University of West Florida

Practice and Applications 5 Fill out evaluation
Contributed Refereed

Thu, Jun 4, 11:40 AM - 12:45 PM

Chair(s): Lauren Alpert Sugden, Duquesne University

11:45 AM

Estimation Graphics: Essential Data Analysis for Biomedical Science
Joses Ho, Institute for Molecular and Cell Biology

12:00 PM

Trial-by-Trial Mid-Frontal Theta Power Predicts Emotional Decision Processes in Response Inhibition Task
Siddharth Nayak, Institute of Statistical Science, Academia Sinica

12:15 PM

A Paradigm for Managing Computational Reproducibility in a Changing Software Package Landscape
Kiegan Rice, Iowa State University

Practice and Applications 2 Fill out evaluation
Contributed Refereed

Thu, Jun 4, 1:20 PM - 2:55 PM

Chair(s): Mitra Devkota, University of North Georgia

1:25 PM

Scaleable Correlated Topic Modelling for Job Matching
Simon Paul Wilson, Trinity College Dublin

1:40 PM

Bayesian Inference for Polycrystalline Materials
James Matuk, The Ohio State University

1:55 PM

SVM Model for Blood Cell Classification Using Interpretable Features Outperforms CNN-Based Approaches
Presentation William Franz Lamberti, George Mason University

2:10 PM

Visualizing the Food Landscape of Durham with Tableau
Joseph Lewis Graves, NCAT

2:25 PM

A Spatiotemporal Case Crossover Model of Asthma Attacks in the City of Houston
Julia Schedler, Rice University

2:40 PM

Q&A

Friday, June 5

Practice and Applications Posters, Part 1
E-Poster

Fri, Jun 5, 10:00 AM - 1:00 PM

Poster Q&A will be available during these designated hours as part of the virtual conference.

How Does Mental Health Affect Unemployment? The Mediation Effect of Concentration Ability
Chuhan Ouyang, 2003

Two Notes About the Two Faces of R-Squared
Gyasi K Dapaa, Indeed Inc

The Children's National Data Lake (CNDL): A Partnership with Amazon Web Services and Cerner
James Bost, Children's National Hospital

PM2.5 Data from Functional Time Series Analysis

Tornado: Classification, Correlation, Prediction
Thilini Vasana Mahanama, Texas Tech University

Detecting Cell Culture Contamination with Multivariate Time Series Data
Laura L Tupper, Williams College

A Novel Application of Time Series Classification Using the Continuous Wavelet Transform and Convolutional Neural Networks on Smartphone Sensor Data
William Robert Nadolski, SAS Institute

Application of Unsupervised Machine Learning Technique in Early Discovery Efforts to Identify Novel Subgroups of Patients with Type 2 Diabetes Mellitus Using Proinsulin Levels
Santosh C Sutradhar, Merck & Co., Inc.

Statistical Modeling of Emission Factors of Fossil Fuels Contributing to Atmospheric Carbon Dioxide in Africa
Mohamed Ali Abu Sheha, University of South Florida

Independence Test for Bivariate Pareto Data
William Cipolli, Colgate University

Estimation of Functional-Coefficient Panel Data Models with Two-Way Fixed Effects: An Empirical Application
Shaymal Chandra Halder, Auburn University

A Lattice and Random Intermediate Point Sampling Design for Animal Movement
Elizabeth Eisenhauer, Pennsylvania State University

Data Science at the Mayo Clinic: Implementation of the Discovery, Translation, and Application (DTA) Framework in Outpatient Palliative Care Practice
Shusaku William Asai, Mayo Clinic

Recent Advances in Entity Resolution Fill out evaluation
Invited

Fri, Jun 5, 11:15 AM - 12:50 PM

Organizer(s): Rebecca Steorts, Duke University

Chair(s): Christine P. Chai, Microsoft

This session will not be recorded/available for registrants to access on-demand.

11:20 AM

Challenges for Accurate Enumerations of Census and Voter Registrations Databases
Rebecca Steorts, Duke University

11:50 AM

Bayesian Canonicalization of Voter Registration Files
Andee Kaplan, Colorado State

12:20 PM

Multifile Record Linkage and Duplicate Detection via a Structured Prior for Partitions
Presentation Serge Aleshin-Guendel, University of Washington

Practice and Applications 3 Fill out evaluation
Contributed Refereed

Fri, Jun 5, 1:25 PM - 3:00 PM

Chair(s): William Franz Lamberti, George Mason University

1:30 PM

Statistical Inference of Adaptive Mutations and Genes from Worldwide Genome Sequences
Lauren Alpert Sugden, Duquesne University

2:00 PM

Q&A

Practice and Applications Posters, Part 2
E-Poster

Fri, Jun 5, 2:00 PM - 5:00 PM

Poster Q&A will be available during these designated hours as part of the virtual conference.

On Using Graphical Models and Regularized Parameter Estimates: Practical Considerations and Applications
Zhipu Zhou, University of California - Santa Barbara

Development of an Integrated Oncology Data Warehouse for Data Science and Precision Medicine Applications to Facilitate Complex Clinical Decisions
Anshul Saxena, Baptist Health south Florida

Data-Driven Statistical Modeling and Analysis of the Survival Times of Multiple Myeloma Cancer
Lohuwa Mamudu, University of South Florida

Predicting International Conflict Onset
Daniel Kent, The Ohio State University

Optimal Dynamic Treatment Regime by Reinforcement Learning in Clinical Medicine
David Han, The University of Texas at San Antonio

Prediction and Modeling of Sensor Endpoint Data in Clinical Trials
Yi-Ting Chang, AstraZeneca

Associations Between Accelerometry-Based Gait Measures and Life-Space Assessment Scores in Older Adults
Anisha Suri, University of Pittsburgh

A Selective Inference Approach for FDR Control Using Multi-Omics Covariates Yields Insights into Disease Risk
Ronald Yurko, Carnegie Mellon University

WITHDRAWN: Basket Analysis Methods in Big Data: The Case of Diabetes

A Neural Network Approach for Imputing Missing Metabolomics Data
Tyler Cook, University of Central Oklahoma

Statistical Downscaling of Climate-Model Produced Daily Precipitation Based on a Single-Stage Zero-Inflation Rainfall Model
Yiming Liu, University of New Hampshire

High-Frequency Multivariate Environmental Time Series: GAM Gap Filling and Distributed Nonlinear Lag Modeling
Lin Wang, University of New Hampshire

Solving Data Science Problems in the US Federal Government with R Shiny
Samantha Tyner, U.S. Bureau of Labor Statistics

A Survey of Statistical Methods for Investigating Risk of Low-Back Pain in a Cohort of Manufacturing Workers
Charles Ingulli, American University

WITHDRAWN Profile of Hospital Admissions due to Asthma: 2012--2017

Using Heterogeneous Treatment Effects to Evaluate the Impact of Heath Management Interventions A Simulation Study Using Medical Claims Data
Khalil Zlaoui, Aetna

An R Markdown Template for CMS Statistical Reports: The Labyrinth of R Markdown and Microsoft Word
Carina Spicer, Merck

The Hidden AI Threats: Data, Stability, and Model Decay Fill out evaluation
Invited

Fri, Jun 5, 3:30 PM - 5:05 PM

Organizer(s): Celeste Fralick, Mcafee

Chair(s): Sarah Kalicin, Intel Corporation

3:35 PM

The Hidden Threats of Decay in AI
Presentation Celeste Fralick, Mcafee

4:05 PM

If Your Data Is Bad, Your AI Initiatives Are Doomed!
Thomas C. Redman, "the Data Doc"

4:35 PM

Veridical Data Science and the PCS Framework
Presentation Raaz Dwivedi, UC Berkeley

Practice and Applications 4 Fill out evaluation
Contributed Refereed

Fri, Jun 5, 3:30 PM - 5:05 PM

Chair(s): Christina Knudson, University of St. Thomas

3:35 PM

Application of Inverse Probability Weights in a Generalized Linear Mixed Model with Random Intercept to Estimate Causal Treatment Effects in Observational Studies
Duncan Grade Vos, WMU School of Medicine

3:50 PM

Predicting the Lifespan of Drosophila Melanogaster: A Novel Application of Convolutional Neural Networks and Zero-Inflated Autoregressive Conditional Poisson Models
Presentation Yi Zhang, Missouri University of Science and Technology

4:05 PM

Bayesian Methods for Estimating the Population Attributable Risk in the Presence of Risk Factor Misclassification
Benedict Wong, Food and Drug Administration

4:20 PM

Bayesian Regression with Undirected Network Predictors with an Application to Brain Connectome Data
Sharmistha Guha, Duke University

4:35 PM

Q&A

Online Program

Viewing Track 'Practice and Applications' only

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