Trusting Your R Packages: A Practical, Risk-Based Approach to External Package Validation
Source category: Emerging Technologies (R, Python, GitHub etc.)
Author collections: Radhika Etikala · Valeria Duran
THE COMMUNITY ARCHIVE
SAS Conference Papers 2026Page 19
Indexed 2026 papers and presentations across the available conference sources. Each record retains the original author text and available material links.
762 papers · Showing 721–760
Turning Trial Data into Patient-Centric Insights
Source category: Software Demonstrations
Author collections: Catharina Dahlbo · Eva Kelty
Two Approaches to Phase-Specific TRTEMFL in ADAE: A Neoadjuvant–Adjuvant Case with Surgery Between Phases
Source category: Data Standards Implementation (CDISC, SEND, ADaM, SDTM)
Two Paths, One PK Journey: The Art of Balancing ADPC and ADNCA
Source category: PK/PD/ADA and Quantitative Pharmacology
Author collections: Ashok Abburi · Shibani Harite
Understanding Administrative Healthcare Datasets using SAS programming tools.
Source category: Hands-On Training
Author collections: Jayanth Iyengar
Unified Meta-Study: Harmonising Clinical Biomarker, Genomics and Clinical Trial Data for Enhanced Access, Usability and Life Cycle Management
Source category: Data Standards, Governance & Implementation & Submissions & Agencies
Unleash the R-volution: A Blueprint for Building Package Validation Capabilities in our own organization
Source category: Emerging Technologies (R, Python, GitHub etc.)
Author collections: Kevin Lee
Unleashing Open-Source Potential in SAS: The PharmaForest Ecosystem (proc pharmaforest data=open_source out=… 😉
Source category: Advanced Programming
Author collections: Ryo Nakaya
Unlock Deeper Clinical Insights: A Unified Approach to Data Analysis with SAS, R and Python
Source category: Emerging Trends & Open Source Technologies
Unlocking Biopharma Insights: A RAG-Enabled AI Framework for Rapid Access to Clinical and Nonclinical Study Data
Source category: Machine Learning, AI & Large Language Models, Data Handling & Data Engineering
Unravelling R Logs: A Guide to Powerful and Clear Logging
Source category: Poster Presentations
Unseen, Unstoppable: The Art of Invisible Leadership
Source category: Professional Development
Unveiling Powerful Patient Data Insights Through Graph Databases
Source category: Emerging Trends & Open Source Technologies
User-defined Functions for Programming Population PK and PKPD Datasets
Source category: Advanced Programming
Author collections: Hong Yan
Using Large Language Models to Validate TLF Outputs Against Statistical Review Comments: An End-to-End Python Framework
Source category: AI in Pharma, Biotech and Clinical Data Science
Using SAS Macro Variable Lists to Create Dynamic Data-Driven Programs
Source category: Demo Theater
Author collections: Josh Horstman
Utilizing AI for Automated Conversion of ADaM Specifications to R Code
Source category: Artificial Intelligence, Machine Learning and Large Language Models
Author collections: Alice Ehmann · Kjersten Offenbecker
Validating AI in GxP: Test Harnesses, Guardrails and Compliance Controls
Source category: Artificial Intelligence, Machine Learning and Large Language Models
Author collections: Bill Qubeck
Validation Strategies for Agentic AI Platforms in GxP-Regulated Clinical Data Environments
Source category: Artificial Intelligence, Machine Learning and Large Language Models
Author collections: Rajesh Hagalwadi
ValoRpacks – Self-Service R Package Validation
Source category: Emerging Trends & Open Source Technologies
Author collections: Marc Jantke
Veristat TLF Packager (GUI): An Interactive Tool for Automated Creation of Combined PDFs with Bookmarks and Clickable Table of Contents
Source category: Application Development & Software Demonstrations
Author collections: Manivannan Mathialagan
Vibe Coding: Coding with Agentic AI ( Hands-On Tutorial)
Source category: Hands-On Training
Author collections: Kevin Lee · Nathan Lee
Vision to Decision: An Ocular Case study on Estimands__PRESENT__PRESENT
Source category: Analytics & Statistics & Analytical Risk-Based Monitoring
Author collections: Deepak Kumar
Visualising Essential Metrics for Assessing Disease Dynamics in Hematologic Oncology Trials: A SAS Graphic Approach
Source category: Data Visualisations
Visualizing PK and ADA Data at Scale: A Parameter-Driven SAS Macro for Box Plot Generation
Source category: PK/PD/ADA and Quantitative Pharmacology
Author collections: Anilkumar Anksapur
Voice-driven Data Science: Real-Time Data Analysis with R
Source category: Data Visualization & Interactive Analytics
Author collections: Phil Bowsher
Voice–Driven Agent–Assisted Open–Source Data Science
Source category: Artificial Intelligence, Machine Learning and Large Language Models
Author collections: Phil Bowsher
Vuln2Zahn: Are We Winning the Vulnerabilities Battle? Measuring Cybersecurity Progress with SAS Viya Data Pipelines
Source category: Demo Theater
Author collections: Mike Krizan
What Patients are Interested in when it comes to Data Sharing
Source category: Pavilion
What Pharma Can Learn from Data Science Outside the Industry
Source category: Emerging Trends & Innovation
Author collections: Kris Wenzel · Liz Cole
When Code Isn’t Enough: Communication and Leadership Skills for Statisticians and Programmers
Source category: Career Development, Leadership & Soft Skills
Author collections: John LaBore · Josh Horstman
Where are my Agents? Automating Cohort Building with a Dynamic Cohort Builder
Source category: Real-world Evidence
Author collections: Mary Dolegowski · Sherrine Eid
Why Standards Matter More Than Code in the Age of GenAI
Source category: Data Standards Implementation (CDISC, SEND, ADaM, SDTM)
Author collections: Bhavin Busa
Why Your SAS Connections Fail: Understanding TLS and Certificates
Source category: Solutions Development
Author collections: Kim Wilson
Women Leadership in AI-Driven Clinical Programming: Navigating Intersectionality and Innovation
Source category: Career Development, Leadership & Soft Skills
Author collections: Lida Gharibvand
Workforce 360°: Future-Proofing Leadership Models
Source category: Professional Development
Author collections: Sugumaran Muthuraj
Working with Biomarkers – What Every Statistical Programmer Should Know
Source category: Analytics & Statistics & Analytical Risk-Based Monitoring
Working with SAS and Microsoft 365 using SAS Programming
Source category: Demo Theater
Author collections: Chris Hemedinger
You Can’t Just Cut the Gordian Knot: Approaches to Real-World Data Quality
Source category: Real-world Evidence
Author collections: Robert Collins
Your Brain on AI: What We Gain, What We Risk, and How to Harness AI Without Losing Trial Integrity
Source category: Artificial Intelligence, Machine Learning and Large Language Models
Author collections: Aditya Gadiko