PharmaSUG2026paper·US·Data Visualization & Interactive Analytics
From Exploratory Data Analysis to Machine Learning – Continuing My Python Journey DV-314
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Conference Papers
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PharmaSUG2026paper·US·Data Visualization & Interactive Analytics
Three Ways to Over-Engineer Your SAS Custom Steps DV-357
PharmaSUG2026paper·US·Data Visualization & Interactive Analytics
Interactive Safety Data Visualization Platform: Transforming Adverse Event Analysis Review Through Dynamic Dashboards in Clinical Trials DV-371
PharmaSUG2026paper·US·Data Visualization & Interactive Analytics
From Static to Dynamic: Leveraging R Shiny for Tumor Response Data Review DV-382
PharmaSUG2026paper·US·Data Visualization & Interactive Analytics
Closing the Loop: An Interactive R Shiny Dashboard for EDC Data Visualization and Real-Time Review Tracking DV-383
PharmaSUG2026paper·US·Data Visualization & Interactive Analytics
Be a Multi-Media Wizard: Make Your Output Dance and Sing DV-409
PharmaSUG2026paper·US·Data 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 DV-419
PharmaSUG2026paper·US·Data Visualization & Interactive Analytics
The Best Data Dashboard Alternative: More Efficient But Equally Effective Performance Monitoring and Reporting DV-434
PharmaSUG2026paper·US·Data Visualization & Interactive Analytics
From Static Outputs to Living the Data – A Visualization framework transforming Clinical Data into a Continuous Asset DV-443
PharmaSUG2026paper·China·Data Visualization and Reporting (DV)
The reporter package: A Powerful Reporting Package to Replicate SAS Output DV-159 Shanghai
PharmaSUG2026paper·China·Data Visualization and Reporting (DV)
Interactive Clinical Trial Data Review Using Non-Shiny R HTML Dashboards DV-162 Shanghai
PharmaSUG2026paper·China·Data Visualization and Reporting (DV)
An Interactive Shiny Application for Streamlined ADaM Specification Integration and Compliant Define-XML v2.1 Generation DV-185 Shanghai
PharmaSUG2026paper·China·Data Visualization and Reporting (DV)
Trace Data Framework for Metadata Network, Impact Analysis, and Visualization Across RAW, SDTM, ADaM, and TFL DV-189 Shanghai
PharmaSUG2026paper·US·Emerging Technologies (R, Python, GitHub etc.)
Unleash the R-volution: A Blueprint for Building Package Validation Capabilities in our own organization ET-140
PharmaSUG2026paper·US·Emerging Technologies (R, Python, GitHub etc.)
Accelerating Open-Source AI with AWS Bedrock: Architecting LLM Integration with Posit Workbench & Positron ET-162
PharmaSUG2026paper·US·Emerging Technologies (R, Python, GitHub etc.)
Current Review of Open Source in New Drug Applications: R & Python ET-163
PharmaSUG2026paper·US·Emerging Technologies (R, Python, GitHub etc.)
Easy Code Generation in R: The “macro” package ET-178
PharmaSUG2026paper·US·Emerging Technologies (R, Python, GitHub etc.)
Building ADaM Datasets from Scratch using R: A SAS programmer’s Perspective ET-179
PharmaSUG2026paper·US·Emerging Technologies (R, Python, GitHub etc.)
Breaking the Shell: Validated R Workflows To Meet FDA Standards ET-189
PharmaSUG2026paper·US·Emerging Technologies (R, Python, GitHub etc.)
Transitioning from SAS to R: Implementing Reproducible R Workflows for TLF Validation ET-192