PharmaSUG2026Data Visualization & Interactive Analytics
Closing the Loop: An Interactive R Shiny Dashboard for EDC Data Visualization and Real-Time Review Tracking
Paper DV-383
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Find papers in official PHUSE, PharmaSUG, and WUSS proceedings. Search by title or paper number, then narrow the directory by conference, year, or category.
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PharmaSUG2026Data Visualization & Interactive Analytics
Be a Multi-Media Wizard: Make Your Output Dance and Sing
Paper DV-409
PharmaSUG2026Data Visualization & Interactive Analytics
From Word Clouds to Phrase Clouds to Amaze Clouds: A Data-Driven Python Programming Solution To Building Configurable Taxonomies That Standardize, Categorize, and Visualize Phrase Frequency
Paper DV-419
PharmaSUG2026Data Visualization & Interactive Analytics
The Best Data Dashboard Alternative: More Efficient But Equally Effective Performance Monitoring and Reporting
Paper DV-434
PharmaSUG2026Data Visualization & Interactive Analytics
From Static Outputs to Living the Data – A Visualization framework transforming Clinical Data into a Continuous Asset
Paper DV-443
PharmaSUG2026Emerging Technologies (R, Python, GitHub etc.)
Unleash the R-volution: A Blueprint for Building Package Validation Capabilities in our own organization
Paper ET-140
PharmaSUG2026Emerging Technologies (R, Python, GitHub etc.)
Accelerating Open-Source AI with AWS Bedrock: Architecting LLM Integration with Posit Workbench & Positron
Paper ET-162
PharmaSUG2026Emerging Technologies (R, Python, GitHub etc.)
Current Review of Open Source in New Drug Applications: R & Python
Paper ET-163
PharmaSUG2026Emerging Technologies (R, Python, GitHub etc.)
Easy Code Generation in R: The “macro” package
Paper ET-178
PharmaSUG2026Emerging Technologies (R, Python, GitHub etc.)
Building ADaM Datasets from Scratch using R: A SAS programmer’s Perspective
Paper ET-179
PharmaSUG2026Emerging Technologies (R, Python, GitHub etc.)
Breaking the Shell: Validated R Workflows To Meet FDA Standards
Paper ET-189
PharmaSUG2026Emerging Technologies (R, Python, GitHub etc.)
Transitioning from SAS to R: Implementing Reproducible R Workflows for TLF Validation
Paper ET-192
PharmaSUG2026Emerging Technologies (R, Python, GitHub etc.)
Creating Reproducible Clinical Output with SASSY- Reporter Package
Paper ET-195
PharmaSUG2026Emerging Technologies (R, Python, GitHub etc.)
Automated Delta Detection: A Scalable R-Shiny Framework for Comparing Clinical Datasets
Paper ET-197
PharmaSUG2026Emerging Technologies (R, Python, GitHub etc.)
The Open Source Advantage: Powering Innovation in the 21st Century
Paper ET-205
PharmaSUG2026Emerging Technologies (R, Python, GitHub etc.)
Enhancing Your SAS Viya Workflows with Python: Integrating Python’s Open-Source Libraries with SAS using PROC PYTHON
Paper ET-207
PharmaSUG2026Emerging Technologies (R, Python, GitHub etc.)
A Novel Approach to Inter-Collaboration using IDEs and GitHub
Paper ET-212
PharmaSUG2026Emerging Technologies (R, Python, GitHub etc.)
Reproducing the SAS DATE and TIME formats with {fmtr} package in R
Paper ET-215
PharmaSUG2026Emerging Technologies (R, Python, GitHub etc.)
Regression Analysis Made Easy Using R
Paper ET-218
PharmaSUG2026Emerging Technologies (R, Python, GitHub etc.)
The Evolution of Open-Source Technologies in the Pharmaceutical Industry: Python as a Cost-Effective Solution for Clinical Statistical Programming
Paper ET-223
PharmaSUG2026Emerging Technologies (R, Python, GitHub etc.)
Reviewing and identifying issues in TFL macro parameter values with R shiny tool
Paper ET-252
PharmaSUG2026Emerging Technologies (R, Python, GitHub etc.)
Goodbye SAS, Hello R: Practical Workflows for CDISC Standards
Paper ET-279
PharmaSUG2026Emerging Technologies (R, Python, GitHub etc.)
An Innovative solution for Interactive Dashboards Using Python Flask Framework for Clinical Data Analytics
Paper ET-283
PharmaSUG2026Emerging Technologies (R, Python, GitHub etc.)
mkheader: An R Package for Automated Generation and Management of Program Headers in Clinical Trial Programming
Paper ET-285
PharmaSUG2026Emerging Technologies (R, Python, GitHub etc.)
Engineering secure and reproducible R based clinical programming systems using open source DevSecOps practices.
Paper ET-292