R is a powerful and versatile programming language widely used in clinical research and healthcare settings. You can use R for tasks such as data cleaning, data analysis, statistical modeling, and visualization.
We’re excited to provide online tutorials designed for clinical workflows to help clinicians and researchers understand and implement R (Tidyverse, Pharmaverse, etc.) for their work. Over time, we will have various parts that will come together for a thorough clinical workflow. We plan to tackle SDTM, TLGs, and other sections over the course of 2023!
Each part has a live and interactive Posit Cloud environment preconfigured. Please click the “Launch Posit Cloud” to work with the live code. Please feel free to copy the repo and customize the examples for your own internal pharma-specific workflows!
Creating ADaM Subject-Level Analysis Datasets (ADSL) with the Pharmaverse
This tutorial is based on the Clinical Reporting in R workshop from R/Pharma 2022, led by Christina Fillmore (GSK), Ellis Hughes (GSK), and Thomas Neitmann (Roche). Watch the full recording on YouTube, check out the workshop materials, and learn more about the pharmaverse and R/Pharma.
Click ‘Launch RStudio Cloud’ to oepn the project and locate the two-part tutorial in the Cloud project:
/cloud/project/tutorials/creating-adam-adsl-part1.qmd
/cloud/project/tutorials/creating-adam-adsl-part2.qmd