R-Based Translation of Japanese Characters in Clinical Datasets for Regulatory Reporting
Source category: Emerging Technologies (R, Python, GitHub etc.)
Author collections: Hardik Sheth · Roshan Stanly
THE COMMUNITY ARCHIVE
SAS Conference Papers 2026Page 15
Indexed 2026 papers and presentations across the available conference sources. Each record retains the original author text and available material links.
762 papers · Showing 561–600
RADAR: Rapid AGILE Development and Automated Reporting for Clinical Data Standards (Using an R Shiny-Based Application)
Source category: Emerging Trends & Open Source Technologies
RBQM: An Intersection of Cross-Functional Collaboration of Clinical, Analytics, Statistics and Technology Domains for Better Clinical Trial Governance
Source category: Analytics & Statistics & Analytical Risk-Based Monitoring
Ready for Next Level SDTMs and ADaMs Compliance with End-to-End Processing?
Source category: Data Standards Implementation (CDISC, SEND, ADaM, SDTM)
Author collections: Sunil Gupta · Tomás Sabat Stofsel
Ready for Next-Level SDTM and ADaM Compliance with End-to-End Processing?
Source category: Data Handling & Engineering
Author collections: Sunil Gupta
Real World Data and CDISC – An Evolving Journey
Source category: Real-World Data (RWD) and Real-World Evidence (RWE)
Author collections: Venkat Rajagopal
Real-Time AI-Driven TLF Generation with GAutoTLF
Source category: Artificial Intelligence, Machine Learning and Large Language Models
Author collections: Hao Xu · Tyler Rowsell
Real-Time Integration of EDC and Third-Party Data and Query Actions within an R Shiny Data Review and Patient Profile Tool
Source category: Data Handling & Engineering
Author collections: Pavel Burmenko · Terek Peterson
Real-World Evidence Pavilion: Interactive Workshop: Bridging Estimands & Target Trial Emulation
Source category: Pavilion
Author collections: Matt Baldwin
Real-World Safety Evaluation Through Electronic Medical Records: A Transformative Approach to Korean Post-Marketing Surveillance
Source category: Poster Presentations
Redefining Quality: Transforming Internal Reviews into Team Development Tools
Source category: Professional Development
Author collections: Arman Melkonyan
Reduce, Reuse, R Shiny: A Framework for Building Generalised and Extensible R Shiny Applications
Source category: Data Visualisations
Author collections: Nathan Kosiba
Regression Analysis Made Easy Using R
Source category: Emerging Technologies (R, Python, GitHub etc.)
Author collections: Zheyuan Yu · Kirk Lafler · Zichun Gao · Jiaxin Xu · Zeqi Li · Ruochen Shao
Regul-ASIAN Uncovered Navigating Reporting Requirements in Asian Markets
Source category: Pavilion
Reimagining Clinical Data Exploration: Animated Data Visualisations for Interactive Clinical Trial Storytelling
Source category: Real-world Evidence & Data Visualisation
Reimagining CSR: From TFLs to Dynamic Text with Generative AI
Source category: Machine Learning, AI & Large Language Models, Data Handling & Data Engineering
Reimagining SDTM Mapping with Agentic AI and Automation
Source category: Data Handling & Engineering
Author collections: Nathan Johnson
Reproducible RWE at Scale: From Fragmented Data to Regulatory-Ready Insights
Source category: Software Demonstrations
Reproducible Validation Framework for R & Python in GxP
Source category: Open Source Technologies
Author collections: Bill Qubeck · Kala Shivali
Reproducing the SAS DATE and TIME formats with {fmtr} package in R
Source category: Emerging Technologies (R, Python, GitHub etc.)
Author collections: Chen Ling · David Bosak
Resistance Data Revolution: Insights, Challenges and FDA-Compliant Implementation
Source category: Poster Presentations
Rethinking Data Quality - From Fragmented Checks to Connected Insights
Source category: Emerging Trends & Innovation
Author collections: Madhumita Ghosh · Eva Kelty
Reviewing and identifying issues in TFL macro parameter values with R shiny tool
Source category: Emerging Technologies (R, Python, GitHub etc.)
Revolutionising Clinical Data Transformation: Harnessing GenAI and Open Source for Automated SDTM Conversion
Source category: Artificial Intelligence, Machine Learning and Large Language Models
Author collections: Hao (Harry) Chen
Revolutionising Clinical Quality: A Frontier Approach with QbD, Infrastructure Modernisation and Data-Driven Analytics
Source category: Analytics & Statistics & Analytical Risk-Based Monitoring
RIP – Inconsistent Metadata Specifications with RAP (R And Python). Generate Specs Faster and Detect Early Errors to Speed Up Submissions
Source category: Emerging Trends & Open Source Technologies
Author collections: Kairav Tarmaster
Risk-Driven AI Oversight in Clinical Research: A Tiered Framework Using ISO, ICH Q9 and FMEA
Source category: Artificial Intelligence, Machine Learning and Large Language Models
Author collections: Laxmiraju Kandikatla · Rajesh Hagalwadi
Robust Causal Inference in Real-World Evidence Studies with Double Machine Learning
Source category: Real-world Evidence
Author collections: Jing Dai
Robust Python Coding Techniques to Automate, Validate, and Strengthen Data Quality Checks in Complex Pipelines
Source category: Coding Tips & Tricks
Author collections: Pavan Kumar Reddy Sakam
Rule-Based Auto-SDTM Mapping Software in Python, Which Automatically Generates Executable SAS or R Programs
Source category: Emerging Trends & Innovation
Author collections: Bill Zhang
Running Existing SAS Programs on an Independent Engine
Source category: Demo Theater
Author collections: Lawrence Sinclair
Running Python from SAS: A Practical Comparison of Available Approaches
Source category: ePosters
Author collections: David Ward
Safeguarding CCI in the Age of AI
Source category: Pavilion
Author collections: Zach Weingarden
Safety at a Glance: Enhancing Participant Monitoring in Oncology Trials with Data Visualisation
Source category: Data Visualisations
Author collections: Agnieszka Bel
SAS and R for Expanding Data for Pharmacometrics Analysis (PMx) Analysis Data Sets
Source category: PK/PD/ADA and Quantitative Pharmacology
Author collections: Rebecca Humphrey
SAS EG Tips and Tricks from a Statistical Programmer’s Perspective
Source category: Coding Tips & Tricks
SAS Essentials I: How SAS Thinks
Source category: Data Basics and Beyond
Author collections: Susan Slaughter
SAS Essentials II: Introduction to DATA Step Programming
Source category: Data Basics and Beyond
Author collections: Susan Slaughter
SAS Essentials III: Introduction to SAS Procedures
Source category: Data Basics and Beyond
Author collections: Susan Slaughter
SAS for Microsoft 365: Integrating SAS Programs, Data, and Reports Across the Microsoft 365 Ecosystem
Source category: Tools, Tech & Innovation
Author collections: Shelby Taylor