Automating TFL Generation Using R and pharmaRTF: From Data to Submission-Ready TFLs
Source category: Scripts, Macros & Automation
THE COMMUNITY ARCHIVE
SAS Conference Papers 2026Page 4
Indexed 2026 papers and presentations across the available conference sources. Each record retains the original author text and available material links.
762 papers · Showing 121–160
Automation and Macros in Clinical Submissions: Challenges, Limits and the Path Forward
Source category: Scripts, Macros & Automation
Automation vs AI: A Debate on Strategic Priorities in the Era of Data Science
Source category: Emerging Trends & Innovation
Author collections: Avinash Pati · Francis Kendall
AutoProgramming: Agents Are All You Need
Source category: Artificial Intelligence, Machine Learning and Large Language Models
Author collections: Chengxin Li
Balancing Privacy and Utility with Smart Anonymisation
Source category: Pavilion
Author collections: Zach Weingarden
Batch Cleaning of SAS Programs for Submission Readiness: An AI and Python Hybrid Approach
Source category: Artificial Intelligence, Machine Learning and Large Language Models
Author collections: Qiong Wei · Qisen Luan
Batch Execution of CDISC SDTM/ADaM Programs with R
Source category: Scripts, Macros & Automation
Author collections: Denny Sebastian · Mohin Mohanan
Be a Multi-Media Wizard: Make Your Output Dance and Sing
Source category: Data Visualization & Interactive Analytics
Author collections: LeRoy Bessler
Becoming a Lead Programmer: Skills, Responsibilities, and Career Pathways
Source category: Professional Development
Author collections: Gregory Weller
Beyond a P-Value Vending Machine: Becoming a Research Partner, Not a Service Provider
Source category: Careers & Professional Development
Author collections: Mehrnaz Siavoshi
Beyond Administration: Leveraging AI for Strategic Clinical Project Management
Source category: Professional Development
Author collections: Hayley MacKenzie
Beyond Basics: Essential R Code Tips and Tricks for Clinical Programmers
Source category: Coding Tips & Tricks
Beyond Box-Checking: Five Best Practices for Embedding QC in Modern SCEs
Source category: Analytics & Statistics
Author collections: Chris McSpiritt
Beyond Code: Elevating NextGen Statistical Programmers through Cross-Functional Learnings
Source category: Professional Development
Author collections: Saumil Tripathi
Beyond Imitation: Selecting Synthetic Data with Purpose and Precision
Source category: Advanced Statistical Methods
Author collections: Sundaresh Sankaran · Pritesh Desai · Sherrine Eid
Beyond Log-Rank: Advanced Survival Analysis for Non-Proportional Hazards in Oncology Trials
Source category: Poster Presentations
Beyond Sign-Off: Practical Tips for Meaningful Reviews by Leads
Source category: Coding Tips & Tricks
Author collections: Bimal Thomas
Beyond the Hype: Practical Guidance for LLM Adoption in Statistical Programming
Source category: Artificial Intelligence, Machine Learning and Large Language Models
Beyond Today’s Evidence: How AI-Enabled RWE Will Transform Development Speed, Study Quality, and Real-World Impact
Source category: AI in Pharma, Biotech and Clinical Data Science
Author collections: Sherrine Eid
Beyond Toxicity: Accelerating Dose Finding with Pharmacokinetic-Driven Bayesian Design PKBOIN-12
Source category: Analytics & Statistics & Analytical Risk-Based Monitoring
Beyond WHODrug: Insight into Concomitant Medication Data Analysis
Source category: Data Standards Implementation (CDISC, SEND, ADaM, SDTM)
Author collections: Song Liu · Rambabu Sura
Bio BERT-Powered Event Classification – A Machine Learning Approach in Python
Source category: Poster Presentations
Biostatistical Foundations 201: Privacy Preserving Patient Linkage Across Real World Data Sources
Source category: Real-World Data (RWD) and Real-World Evidence (RWE)
Author collections: Anbu Damodaran
Blind/Unblind Workflows: Secure Separation and Governance in the CDR SCE
Source category: Data Handling & Engineering
Author collections: Kala Shivali
Boolean Rhapsody: 50 shades of true Is this the real code? Is this just fantasy?
Source category: Tools, Tech & Innovation
Author collections: Charu Shankar
Boston Breakthroughs: A Dashboard-Driven Approach to Metadata and Audit Trails with SAS Clinical Acceleration
Source category: Data Visualization & Interactive Analytics
Author collections: Laura Watson
Breaking Free from the xpt: Exploration of Dataset-JSON as an Alternative Transport File to Regulatory Agencies
Source category: Submissions & Agencies
Author collections: Ben Straub
Breaking into Statistical Programming: How SAS, R, Python, AI and ML Are Shaping Career Paths
Source category: Professional Development
Author collections: Kishore Pothuri
Breaking the Shell: Validated R Workflows To Meet FDA Standards
Source category: Emerging Technologies (R, Python, GitHub etc.)
Author collections: Danielle Stephenson · Madeleine Penniston
Bridging Analysis and Strategy: The Transformative Role of Statistical Analysts in Drug Development
Source category: Professional Development
Author collections: Lingsong Yun
Bridging Patient- and Trial-Level Insights
Source category: Poster Presentations
Author collections: Catharina Dahlbo · Eva Kelty
Bridging Statistical Expertise Through Intuitive Design: A Modern Web Interface for Automated SAS Procedure Selection in Cardiovascular Clinical Trial
Source category: Application Development & Software Demonstrations
Bridging the Divide: Harmonising HL7 FHIR, OMOP and CDISC Standards for Regulatory-Grade Real-World Evidence
Source category: Data Standards, Governance & Implementation & Submissions & Agencies
Bridging the Gap A Python-Word Integration for Detecting Ghost Page Breaks in SAS-Generated RTFs
Source category: Emerging Technologies (R, Python, GitHub etc.)
Author collections: Jun Yang
Bridging the Gap: Table-Driven SAS Programming as a Pathway to AI in Clinical Trials Statistical Programming
Source category: Tools, Tech & Innovation
Author collections: James Sun
Building a Model Context Protocol Server for AI-Driven Workflow Automation
Source category: AI in Pharma, Biotech and Clinical Data Science
Author collections: Samiul Haque
Building a Trustworthy RWD Analytic Platform: Key Considerations and Strategies
Source category: Real-world Evidence & Data Visualisation
Author collections: William Kuan
Building ADaM Datasets from Scratch using R: A SAS programmer’s Perspective
Source category: Emerging Technologies (R, Python, GitHub etc.)
Author collections: Patel Mukesh
Building an AI-Powered Smart Car Recommendation System Using Python
Source category: Demo Theater
Author collections: Leon Davoody · Chary Akmyradov
Building Better Data Science Workflows: Best Practices with Git, GitHub, and Data Version Control (DVC) for Effective Collaboration
Source category: Emerging Technologies (R, Python, GitHub etc.)
Author collections: Ryan Lafler