What You’ll Learn
In this workshop, statistical programmers will be introduced to the R programming language and the tidyverse, using familiar clinical examples. Attendees will leave with a basic understanding of what R is, what the tidyverse is and why it’s important, and what the open-source landscape has to offer us in the world of clinical statistical programming.
All workshop materials can be found here
Hands-on programming examples will be offered to give attendees some basic knowledge of the tools available in R to support common clinical workflows, such as SDTM, ADaM and clinical TFLs. If you’ve never worked in R before, but want to see how it can be used in your day-to-day tasks, come join us and see what this powerful open-source language has to offer!
Instructors
Mike Stackhouse
Cheif Innovation Officer
Eli Miller
Cloud Solutions Architect
Nathan Kosiba
Software Developer
Maya Gans
Data Visualization Engineer
Phil Bowsher
Director of Life Sciences & Healthcare at RStudio, Inc