🗓️ Monday, September 28, 2026 · 11:00 AM – 1:00 PM PDT 💻 Online via Zoom 📝 Workshop Registration
Description
{gtsummary} is the most widely used R package for creating presentation-ready summary tables across the R ecosystem. Because it is built for broad utility across multiple domains, its flexibility and customization ability lends itself to the diverse needs in clinical trial reporting.
In this workshop, we will begin with a brief overview of {gtsummary} fundamentals before diving into the key tooling and strategies that make enterprise adoption smooth and effective. Participants will learn:
Analysis Results Data (ARD) Integration: How {gtsummary} and ARDs work seamlessly together by design to support reproducible, clinical-grade workflows.
Custom Themes for Standardization: How to build company-specific themes that alter defaults, ensuring output automatically aligns with internal guidelines without requiring repetitive argument specifications.
Building Custom Extensions: When and how to supplement {gtsummary} with a supplemental R package to handle specialized reporting needs, leveraging {gtsummary}’s extension framework to simplify development.
By the end of the session, you will understand how to extend this open-source tool with institution-specific functionality to balance flexibility with company-wide standardization.
Getting started
The workshop is hands-on. You can work through the exercises either in Posit Cloud or on your own machine — whichever you prefer. Get set up now; we’ll walk through it together at the top of the session.
Bookmark this site either way. You’ll reference it throughout the workshop, and the exercise code lives on the Exercises + Solutions page.
Option 1: Posit Cloud
Nothing to install — the workshop packages are already there. R/Pharma has granted everyone $2 of AI credits to use during the workshop. You must select the GLM 5.3 Flash model to maximize your budget.
Sign up for Posit AI using the same email address you used to register for the conference. The credits are matched to that address — sign up with a different one and they won’t be there when we start.
We will be using AI for our exercises in this workshop.
How to start your workshop assignment
Join the space. The link will be provided during the workshop.
Locate the project. Click -> New Project -> New Project from Template ->
rpharma-workshop-gtsummary-adoption-2026-> OKBegin working. Posit Cloud duplicates the project into your personal workspace, creating your own independent version where you can write and save code.
Option 2: Your own machine
Install the workshop packages — this takes a few minutes, so start it before we get going. Open Positron/RStudio/your IDE alongside Zoom, and run:
install.packages(c("tidyverse",
"cards",
"cardx",
"gtsummary",
"broom.helpers",
"flextable",
"pharmaverseadam"))This is the same as install.R in the workshop repo.
Schedule
Teaching duties are split across the two instructors:
| Section | Instructor |
|---|---|
| Introduction | Daniel Sjoberg |
| Analysis Results Datasets | Daniel Sjoberg |
| {gtsummary} fundamentals | Shannon Pileggi |
| ARD-first tables | Daniel Sjoberg |
| Print engines | Shannon Pileggi |
| Adopting {gtsummary} | Shannon Pileggi |
| Coding agents | Daniel Sjoberg |
| In Closing | Daniel Sjoberg |
Slides
Instructors
Executive Director of Data Science & Clinical Data Analytics, Kardigan (he/him)
Daniel leads the Data Science and Clinical Analytics groups at Kardigan. Previously was a Senior Principal Innovation Data Scientist and Real-time Analytics Group Lead at Genentech, a Lead Data Science Manager at the Prostate Cancer Clinical Trials Consortium, and an academic biostatistician at Memorial Sloan Kettering Cancer Center for 13 years. He enjoys R package development, creating many packages on CRAN, R-Universe, and GitHub. He’s a co-organizer of rainbowR and of the R Medicine Conference, and a recipient of the Brian Bole Award for Excellence from Open Source in Pharma and the ASA Innovation in Programming Award.
Director of Data Science, The Prostate Cancer Clinical Trials Consortium (she/her)
Shannon is a Director of Data Science at The Prostate Cancer Clinical Trials Consortium, an occasional blogger, a frequent workshop instructor, and a member of the R-Ladies Leadership team. She enjoys automating data wrangling and data outputs, and making both data insights and learning new material digestible.