Think you can code?
A free, online event that brings students, faculty, and community members together.
These courses do not replace formal education in biostatistics. Attendees are invited to sign up for one or all of the events. You will need to sign in to a Zoom account to access sessions. All participants will be entered into a raffle for a tech prize.
Basic Data Management in R
Colin Hensen
Learn how to use R for basic data management to prepare data for analysis. We will cover importing data from Excel and CSV formats, creating and editing variables, and dataset manipulations. Prior programming experience in R is not required. Example code will be provided after the session.Basic Data Management in SAS
Crstal Natvig
Learn how to use SAS software for basic data management to prepare data for analysis. We will cover importing data from Excel and CSV formats, creating and editing variables, and dataset manipulations. Example code will be provided after the session.
How to Meet with a Statistician
Rachel Johnson
We will provide tips on where to find a statistician to join your research team and how to foster a productive, strong working collaboration with them. Additionally, we will discuss how to show up for an effective kick-off meeting with your statistician.Introduction to REDCap
Chole Wildman and Sean Sullivan
Learn about the basics of the Research Electronic Data Capture (REDCap) application for participant management and study design. In this session, we will discuss access to REDCap, project creation and design, data collection, participant management, and exporting data.
Advanced Reporting in R
Grace Bosma
Learn how to create reproducible tables and create a dynamic report using R. We will cover how to create different tables in R and how to use R Markdown to create a comprehensive data report. Example code will be provided after the session.Advanced Data Visualization in R
Matt Bolt
We will expand on the plots presented in previous data visualization seminars. We will cover how to create data visualizations and how to combine multiple plots into one figure. Prior experience using R and watching the previous data visualization video are recommended. Example code will be provided after the session.Advanced Data Management for SAS
Lauren Gunn-Sandell
Learn how to create flexible and dynamic SAS programs using SAS Macros. We will cover the difference between a macro variable and macro program and introduce when you would use them and how to code. Prior experience using SAS is recommended. Example code will be provided after the session.How to Create an Analyzable REDCap DB
Samantha Roberts
We will provide tips on how to create a stats-friendly database. We will discuss how to set up a complex database (i.e. longitudinal databases). Additionally, we will give best practices for variable naming conventions and format consistency to improve any project.
