aCRF In Full: A Complete Solution for Relatively Little Work
Source category: Tools, Tech & Innovation
Author collections: Carlo Radovsky
THE COMMUNITY ARCHIVE
SAS Conference Papers 2026Page 2
Indexed 2026 papers and presentations across the available conference sources. Each record retains the original author text and available material links.
762 papers · Showing 41–80
Across the Multiverse…Statistically Speaking
Source category: Analytics & Statistics
Author collections: Trevano Dean · Cralen Davis
ADaM Pet Peeves Part 2: More Things Programmers Do That Make Us Crazy
Source category: Panel Discussions
Author collections: Sandra Minjoe · Nancy Brucken · Alyssa Wittle · Richann Watson · Paul Slagle · Tatiana Sotingco
Adopting gtsummary at Scale: How Roche Built a Companion to gtsummary to Standardise and Simplify ARD-Based Reporting
Source category: Open Source Technologies
Author collections: Daniel Sjoberg
Advanced SAS Graph Template Language (GTL) with Practical Examples from Oncology Trials
Source category: Advanced Programming
Advancing Clinical Programming Through Centres of Excellence
Source category: Professional Development
Author collections: Surendra Yajamanam
Advancing Clinical Trial Analysis with Trimmed Means: Estimands, Intercurrent Events and Regulatory Alignment
Source category: Analytics & Statistics & Analytical Risk-Based Monitoring
Advancing Precision Medicine and Regulatory Readiness: Data Harmonisation and Statistical Methods for Companion Diagnostics Bridging Studies
Source category: Analytics & Statistics
Advancing Transparency‑by‑Design in Clinical Trial Disclosure: Real‑World Applications for Regulatory Submissions
Source category: Pavilion
Advancing Transparency, Patient-centricity, and Trustworthiness in Pharma: Metrics and Trends from the Good Pharma Scorecard
Source category: Pavilion
Agentic R in Clinical Trials: Empowering Statistical Programmers with Open Source LLM Packages & Positron Tools
Source category: AI in Pharma, Biotech and Clinical Data Science
Author collections: Phil Bowsher
AI + Metadata : An Agentic Approach to Standards-Based Automation
Source category: Emerging Trends & Innovation
Author collections: Kevin Burges
AI as Copilot: Empowering, Not Replacing, Statistical Programmers
Source category: Emerging Trends & Innovation
Author collections: Bhavesh Patkar · Brian Thornton
AI Code Generator: Automating TFL Programming with ARS Metadata
Source category: Software Demonstrations
Author collections: Bhavin Busa · Navin Dedhia
AI for Adverse Event Signal Detection: Moving Beyond Traditional Disproportionality Metrics
Source category: Machine Learning, AI & Large Language Models, Data Handling & Data Engineering
AI is coming for you: New Biometric Leadership in the era of Agentic AI
Source category: Leadership
Author collections: Kevin Lee
AI Reading and Understanding the SAP to Generate the TFL TOC
Source category: Emerging Trends & Innovation
Author collections: Toshio Kimura
AI Won’t Replace Leaders—But It Will Redefine Them
Source category: Leadership
Author collections: Chris Decker
AI-Assisted Metadata Programming: A Transparent Framework for PCS in Lab Data Analysis
Source category: Scripts, Macros & Automation
AI-Assisted Modular Design for R Markdown Report Generation A Hybrid Architecture for Enhanced Maintainability and Cross-Study Scalability
Source category: Advanced Programming
Author collections: Song Liu
AI-Augmented Bayesian Methods for Late-Onset Toxicity in Early-Phase Trials
Source category: Analytics & Statistics
AI-Augmented SDTM Review: A Practical Framework Enhanced by a Structured Prompt Library
Source category: AI in Pharma, Biotech and Clinical Data Science
Author collections: Vihar Patel
AI-Driven Automation of Statistical Analysis Plans: Leveraging LLMs to Transform Protocol Interpretation
Source category: Artificial Intelligence, Machine Learning and Large Language Models
AI-Driven Intelligent Platforms for ADaM Specification and Code: Empowering Clinical Data Analysis
Source category: AI in Pharma, Biotech and Clinical Data Science
AI-Driven Metadata Integration in Modern TLF Development
Source category: Artificial Intelligence, Machine Learning and Large Language Models
AI-Driven Protocol Review: Accelerating and Simplifying Review
Source category: Poster Presentations
AI-Driven Quality Risk Management for Contract Manufacturing Oversight: An ML Approach
Source category: Risk-Based Quality Monitoring
AI-Driven RBQM: Bridging Operational Excellence and Global Regulatory Demands
Source category: Analytics & Statistics & Analytical Risk-Based Monitoring
AI-Enhanced R Shiny App for Real-Time Clinical TLF Coding and Preview
Source category: Emerging Technologies (R, Python, GitHub etc.)
Author collections: Dickson Wanjau
AI-First Leadership in Biometrics: Redefining Strategy, Teams and Execution in the Agentic AI Era
Source category: Career Development, Leadership & Soft Skills
Author collections: Kevin Lee
AI-Optimised AESI Flagging: Streamlined SAS Hash Table Logic with Dynamic CALL EXECUTE and Metadata-Driven Specifications
Source category: Scripts, Macros & Automation
Author collections: Rashad Rasul
AI-Powered Approach for Faster, More Efficient Authoring of Clinical and Regulatory Documents
Source category: Emerging Trends & Innovation
Author collections: Abhijeet Arora · Inderjeet Arora
AI-Powered Multiple-Agent Pipeline for Automating ADaM Dataset Generation
Source category: AI in Pharma, Biotech and Clinical Data Science
Author collections: Bo Ci
AI-Powered Multiple-Agent Pipeline for Automating ADaM Dataset Generation
Source category: Artificial Intelligence, Machine Learning and Large Language Models
Author collections: Bo Ci
AI-Powered Precision: Transforming Limb Salvage Decisions in Diabetic Foot Syndrome
Source category: Real-world Evidence & Data Visualisation
AI-Recommended Color Palettes with QC for R Shiny Figures
Source category: Data Visualization & Interactive Analytics
Author collections: Yi Guo
AI–Supported Validation of Open–Source Software
Source category: Scripts, Macros & Automation
Author collections: Sven Prasse
Algorithms to align the distribution of follow-up across independently collected cohorts when comparing time to event endpoints using conventional Kaplan Meier and Cox regression methods.
Source category: Study Data Integration & Analysis
Author collections: Shankar Srinivasan · Yvonne Buttkewitz
An Agentic AI Framework That Reads Statistical Analysis Plans and Generates TFL Table of Contents
Source category: AI in Pharma, Biotech and Clinical Data Science
Author collections: Siqi Wang · Toshio Kimura · Songgu Xie · Weiming Du
An Agentic Approach to Validation, Influencing Reporting with AI
Source category: Machine Learning, AI & Large Language Models, Data Handling & Data Engineering
Author collections: Karthik Palani