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Thursday, February 15
PS1 Poster Session 1 and Opening Mixer Thu, Feb 15, 5:30 PM - 7:00 PM
Salons F-I
Chair(s): Alok Dwivedi, Texas Tech University Health Sciences Center El Paso (TTUHSC EP)

Some Dimension Reduction Strategies for the Analysis of Survey Data
Jiaying Weng, University of Kentucky
Perl-Compatible Regular Expressions as a Tool to Abstract Semi-Structured Electronic Health Records
Samantha Emily Montag, Northwestern University
Collaborative Process to Efficiently Produce Publications in Multicenter Research
Cody S. Olsen, University of Utah, Department of Pediatrics
Developing a Comprehensive Personal Plan for Teleworking (Working Remotely)
Julia Lull, Janssen Research & Development, LLC
Thank You, Come Again: Modeling Repeat Purchase Behavior for Business Travelers
Diag D. Davenport, Georgetown University
Wavelet-Based Methods for Data-Driven Monitoring
Achraf Cohen, University of West Florida
A Simulation Study of Violations of the Local Independence Assumption in Latent Class Analyses
Michael P. Chen, U.S. Centers for Disease Control and Prevention
Impact of Linear Regression Predictor Omission on Estimation and Inference
Julia L. Sharp, Colorado State University
A Comparison of Standard Logistic Regression, Multilevel Modeling, Robust Error Estimation, and Exposure Simulation for Data Containing Quasi-Berkson Error
Angelique Liddell Zeringue, Mercy Healthcare
Statistical Modeling for Repeated Measures in Rubber Research
Wenzhao Yang, The Dow Chemical Company
Combining Historical Data and Propensity Score Methods in Observational Studies to Improve Internal Validity
Miguel Marino, Oregon Health & Science University
Marketing Communication Channel Preference Optimization Using a Two-Stage Statistical Modeling
Hongying Yang, Statistical consultant
Limitations of Propensity Score Methods: Demonstration Using a Real-World Example
Gregory B. Tallman, Oregon State University/Oregon Health & Science University
Effect Size Measures for Nonlinear Count Regression Models
Stefany Coxe, Florida International University
Appropriate Dimension Reduction for Sparse, High-Dimensional Data Using Intensity Plots and Other Visualizations
Eugenie Jackson, West Virginia University
Navigating Large-Scale Forest Plots Using R and Shiny
Steele Valenzuela, Oregon Health & Science University
Ranked-Choice Voting R Package
Jay Lee, Reed College