Courses
Full-Day Courses
Tuesday, February 27
8:00 a.m. – 5:30 p.m.
SC01: Using Simulations in Power Analysis
Instructor(s): Bernard Ricca, Lyda Hill Institute for Human Resilience
SC02: Effective Graphs with ggplot2
Instructor: Joyce Robbins, Columbia University
Morning Half-Day Courses
Tuesday, February 27
8:00 a.m. – 12:00 p.m.
SC03: Matched Design for Causal Inference with R
Instructor: Bo Lu, The Ohio State University
SC04: Practical Considerations in Preparing Your Application for Promotion as a Collaborative Academic Statistician
Instructor(s): Xiaoming Sheng, University of Utah; Terrie Vasilopoulos, University of Florida College of Medicine; Christina Mehta, Emory University; and Li Zhang, Helen Diller Family Comprehensive Cancer Center
SC05: Best Practices in Project Management and Quality for Statisticians and Data Scientists
Instructor: Michiko Wolcott, Msight Analytics
Afternoon Half-Day Courses
Tuesday February 27, 2024
1:30 p.m. – 5:30 p.m.
SC06: Everyday Reproducibility: Simple Flexible Tools for Making Analyses More Accessible and Reproducible
Instructor(s): Gregory Hunt and Johann Gagnon-Bartsch
SC07: Workflow for Wearables: Study Design, Data Processing, and Analytic Considerations for Research Using Continuous Health-Monitoring Devices
Instructor(s): Laura Grau, Colorado School of Public Health, University of Colorado, and Center for Innovative Design and Analysis; Sarah Schmiege, University of Colorado Anschutz Medical Campus; and Heather Smyth, Colorado School of Public Health, University of Colorado, and Center for Innovative Design and Analysis
SC08: Skills for Statistical Writing
Instructor(s): Emily Griffith, North Carolina State University; Julia Sharp, National Institute of Standards and Technology; and Zach Weller, GTI Energy
Tutorials
Thursday, February 29
2:00 p.m. – 4:00 p.m.
T01: Getting Things Done with Julia
Instructor: Neal Fultz, njnm Consulting
T02: Building Binary Prediction Models Through Regression: Fundamentals and Strategies
Instructor: Adrianna Westbrook, Emory University
T03: Data and Safety Monitoring Board Service 101
Instructor(s): Heidi Spratt, The University of Texas Medical Branch; Haley Hedlin, Stanford University; and Erinn Hade, New York University
T04: R Programming: Introduction to data.table
Instructor: David Shilane, Columbia University
T05: Introduction to Spatiotemporal Modeling in R
Instructor: Sara Venkatraman
T06: Data-Driven Web Applications: from Development to Deployment
Instructor: David Newton
Practical Computing Demonstrations
Thursday, February 29
2:00 p.m. – 4:00 p.m.
PCD01: Introduction to Difference in Differences in Stata
Instructor: Chuck Huber, StataCorp
PCD02: Designing Efficicent Experiments for Research Studies
Instructor: Kevin Potcner, JMP Statistical Discovery Software
