Modernizing Clinical Research Analytics with Cloud‑Optimized SAS Procedures
Source category: Advanced Programming
Author collections: Jim Box · Mary Dolegowski
THE COMMUNITY ARCHIVE
SAS Conference Papers 2026Page 13
Indexed 2026 papers and presentations across the available conference sources. Each record retains the original author text and available material links.
762 papers · Showing 481–520
Multi-Dimension Comparison Using SAS in the Context of Counting Hemophilia Bleeding Episodes
Source category: Analytics & Statistics
Multi-Dimensional Suppression Algorithm to Preserve Privacy in Publicly Released Data
Source category: Solutions Development
Author collections: Oleg Korovyanko
Multi-Standard Submission – Process, Learnings and Recommendations for Best Practice
Source category: Submissions & Agencies
Multiple Sclerosis Trials Unpacked: Standards, Endpoints and Programming Experience
Source category: Data Standards, Governance & Implementation
My DIY Swiss Army Knife of SAS® Procedures: A Macro Approach of Forging with My Favorite PROCs
Source category: Tools, Tech & Innovation
Author collections: Jason Su
Navigating Career Transitions: From Programmer to Executive Leader
Source category: Career Development, Leadership & Soft Skills
Author collections: Steven Tan
Navigating Early Career Challenges in PK/ADA Statistical Programming
Source category: PK/PD/ADA and Quantitative Pharmacology
Author collections: Sandeep Meesala
Navigating the Statistical Programming Strategies for Cytokine Release Syndrome (CRS) and ICANS in Oncology Clinical Trials.
Source category: Data Standards Implementation (CDISC, SEND, ADaM, SDTM)
Author collections: Murali Kanakenahalli · Vamsi Kandimalla
Next Generation QC Workflow Optimisation: Current Practices and Future Directions from the Emerging Trends & Innovation Working Group
Source category: Emerging Trends & Innovation
Author collections: Matthew Finnemeyer · Caroline Phares
Next-Gen Statistical Programming in Clinical Trials: Driving Faster, Reliable and Smarter Outcomes
Source category: Professional Development
Author collections: Shashikant Kumar · Mrityunjay Kumar
Next-Gen Statistical Programming: AI as Your Coding Co-Pilot in R
Source category: Artificial Intelligence, Machine Learning and Large Language Models
Author collections: Sumesh Kalappurakal · Mark Rothe
Next-Gen Transport Standards: Dataset-JSON from a Programmer’s Lens
Source category: Data Standards, Governance & Implementation & Submissions & Agencies
Author collections: Venkata Koteswara Rao Rayala
Not Another Other: Bridging Data Collection with SDTM Mapping Without Open Text Fields
Source category: Data Standards, Governance & Implementation
Novel Machine Learning Approach for Diabetic Amputation Prevention with Survival Timelines
Source category: Machine Learning, AI & Large Language Models, Data Handling & Data Engineering
Author collections: Nikhil Khandelwal
Objects in Mirror Are Closer Than They Appear – How an Organisation Came Together to Accelerate Open Source Adoption
Source category: Open Source Technologies
Author collections: Eileen Ching · Benjamin Arancibia
Oncology Solid Tumor Subcutaneous vs Intravenous Late-stage Study Analysis
Source category: Advanced Statistical Methods
Author collections: Sumanjali Mangalarapu · Anilkumar Anksapur
One Eye Open, One Eye Closed: How To Approach Masking in Open-Label Oncology Studies
Source category: Data Handling & Engineering
One Study, Many Regulators: Submission-Ready Data Package for Multi-Region Filings
Source category: ePosters
Author collections: Himanshu Patel · Chintan Pandya
One Word Can Make All the Difference(s): Strengthening Validation Practices with PROC COMPARE
Source category: Advanced Programming
Author collections: John LaBore · Josh Horstman
One Workflow to Rule Them All: Uniting Anonymisation and Confidential Information
Source category: Pavilion
Open Source as a Strategic Enabler for EMA Submissions: An R Shiny Approach
Source category: Open Source Technologies
Author collections: Marckenley Mercie
Open Source Pavilion: Beyond Validation Checkboxes: Building Future-Ready GxP Strategies for Open Source
Source category: Technology & Applications
Author collections: Michael Rimler · Eli Miller
Open Source Pavilion: Metadata-driven Automation Interactive
Source category: Technology & Applications
Author collections: Orla Doyle · Rammprasad Ganapathy
Open-Source Frameworks for Scalable Data Quality Orchestration in Clinical Data Pipelines
Source category: Emerging Trends & Open Source Technologies
Author collections: Pavan Kumar Reddy Sakam
Opening Session – Global Data Sharing Platforms: Aligning Frameworks, Pressures and Opportunities
Source category: Pavilion
Author collections: Cathal Gallagher
Operationalising ICH E6 R3: A Risk-Based Blueprint for Data Management
Source category: Risk-Based Quality Monitoring
Author collections: Vera Pomerantseva
Operationalizing Generative AI in Regulated Analytics: Applied Implementation Patterns for Enterprise Deployment
Source category: AI in Pharma, Biotech and Clinical Data Science
Author collections: Lida Gharibvand
Operationalizing Real World Data for External Control Arms: An End to End Framework for Rare Disease and Oncology Trials
Source category: Real-World Data (RWD) and Real-World Evidence (RWE)
Author collections: Anbu Damodaran
OPS Builder: Navigating the Cosmos of Study Deliverables with Stellar Automation
Source category: Emerging Trends & Open Source Technologies
Optimising Few-Shot Prompting Strategies for Scalable and Reliable Enterprise AI Applications
Source category: Coding Tips & Tricks
Author collections: Varun Sethuraman
Optimising Flexibility and Consistency in Statistical Programming for Platform Trials: Practical Approaches to Data Cut, SDTM, ADaM and TFL Setup
Source category: Poster Presentations
Author collections: Zhen (Laura) Li
Optimising Global Team Dynamics in Statistical Programming
Source category: Professional Development
Author collections: Padma Kishan Korsapati
Optimising Output Review: A Targeted and Scalable RTF Validation Framework
Source category: Scripts, Macros & Automation
Author collections: Sid Kumar
Optimising Pinnacle 21 Compliance with Automated Metadata Updates
Source category: Data Standards, Governance & Implementation & Submissions & Agencies
Author collections: Karthik Palani
Optimising R Package Development: A Detailed Guide to Workflow and Best Practices
Source category: Poster Presentations
Optimising Trial Design Dataset Creation To Minimise P21 Compliance Issues
Source category: Data Standards, Governance & Implementation
Author collections: Rama Kudaravalli
Optimising Vendor Data Mapping: From Raw to SDTM and Ready for Analysis
Source category: Poster Presentations
Optimizing Clinical TFL Review with Python and Power BI: A Reproducible Workflow to Reduce QC Time and Improve Traceability
Source category: Submission Standards for Global Health Authorities
Author collections: Latha Donapati
Optimizing Workflow in Pharma: Innovative Dashboard Creation
Source category: Real-world Evidence & Data Visualisation