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PS01 - Opening Mixer & E-Posters

Weichuan Dong Spatial Statistics and Visualization of Public Health Outcomes

Matthew A. Hawks The Daily Question: Building Student Trust and Interest in Undergraduate Introductory Probability and Statistics Courses

Silas Bergen Extending the Grammar of Graphics beyond ggplot2

Carlos M. Lopera-Gómez A Shiny Application to Teach the Multiple Linear Regression Analysis in a Undergraduate Course

Benjamin Kenneth Brown Predicting Matriculation Rates of Dual Enrollment High School Students

Songtao Wang A Meta-analysis on the Effect of Information and Communication Technology Tools in Second Language Acquisition

PS02 - Data Science Applications E-Posters, I

Christine P. Chai Automated Survey Text Analysis -- Supervised Latent Dirichlet Allocation (sLDA)

Aleksandra Zaba Comparing various string similarity algorithms in the task of name-matching

Xiaowei Yue Tensor Mixed Effects Model with Application to Nanomanufacturing Inspection

Dhrubajyoti Ghosh Analyzing Influence of Social Media Through Twitter

Vijay Ravuri Gender Distribution in Movie Roles

PS03 - Data Science Applications E-Posters, II

Lin Wang Usability evaluation of data presentation for official statistics

Shu Li Relationship between physical activity and depression in elderly Costa Ricans

Megan Shand Handling Missing Data in Cardiovascular Disease Prediction Using Neural Networks

Yirui Hu Leverage Machine Learning to Advance Risk Prediction with Electronic Health Record

PS04 - Machine Learning E-Posters, I

Allan Kimaina Harnessing The Power Of Machine Learning Methods In Hiv Virologic Failure Risk Prediction

Albert Taylor Rapid deployment of a Machine Learning-based derived biomarker using publicly available data sources for covariate adjusted descriptive modeling

Thomas Charles McAndrew Adaptively Stacked Ensembles for Influenza Forecasting with Incomplete Data

Yihuan Huang Comparing Performance of Lasso, Group Lasso, and Linear Regression with Categorical Predictors

PS05 - Machine Learning E-Posters, II

Amrina Ferdous On Combining Data from Distinct Nonlinear Predictive Models

Allan Kimaina Harnessing The Power Of Machine Learning Methods In Prospective Hiv Care And Treatment

PS06 - Computational Statistics E-Posters

More posters on the SDSS 2019 website