Thursday, February 15 |
PS1 Poster Session 1 and Opening Mixer
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Thu, Feb 15, 5:30 PM - 7:00 PM
Salons F-I |
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Chair(s): Alok Dwivedi, Texas Tech University Health Sciences Center El Paso (TTUHSC EP)
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Some Dimension Reduction Strategies for the Analysis of Survey Data
Jiaying Weng, University of Kentucky
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Perl-Compatible Regular Expressions as a Tool to Abstract Semi-Structured Electronic Health Records
Samantha Emily Montag, Northwestern University
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Collaborative Process to Efficiently Produce Publications in Multicenter Research
Cody S. Olsen, University of Utah, Department of Pediatrics
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Developing a Comprehensive Personal Plan for Teleworking (Working Remotely)
Julia Lull, Janssen Research & Development, LLC
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Thank You, Come Again: Modeling Repeat Purchase Behavior for Business Travelers
Diag D. Davenport, Georgetown University
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Wavelet-Based Methods for Data-Driven Monitoring
Achraf Cohen, University of West Florida
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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
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Impact of Linear Regression Predictor Omission on Estimation and Inference
Julia L. Sharp, Colorado State University
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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
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Statistical Modeling for Repeated Measures in Rubber Research
Wenzhao Yang, The Dow Chemical Company
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Combining Historical Data and Propensity Score Methods in Observational Studies to Improve Internal Validity
Miguel Marino, Oregon Health & Science University
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Marketing Communication Channel Preference Optimization Using a Two-Stage Statistical Modeling
Hongying Yang, Statistical consultant
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Limitations of Propensity Score Methods: Demonstration Using a Real-World Example
Gregory B. Tallman, Oregon State University/Oregon Health & Science University
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Effect Size Measures for Nonlinear Count Regression Models
Stefany Coxe, Florida International University
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Appropriate Dimension Reduction for Sparse, High-Dimensional Data Using Intensity Plots and Other Visualizations
Eugenie Jackson, West Virginia University
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Navigating Large-Scale Forest Plots Using R and Shiny
Steele Valenzuela, Oregon Health & Science University
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Ranked-Choice Voting R Package
Jay Lee, Reed College
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