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
THE COMMUNITY ARCHIVE
Statistical Programming Papers and PresentationsPage 2
Discover techniques for writing, checking and maintaining analysis programs. This collection focuses on SAS programming practices, quality control and automation, with links to dedicated macro and SQL collections.
204 papers · Showing 21–40
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
Privacy Considerations of Using RWD from a Statistical Programming Perspective
Source category: Real-world Evidence
Author collections: Joe Xi · Lorraine Fang
SAS Macro Debugging Techniques for Mere Mortals
Source category: Hands-On Training
Author collections: Kirk Lafler
SAS Macro Debugging Techniques for Mere Mortals
Source category: Hands-On Workshops
Author collections: Kirk Lafler
SAS Programming with an AI Assistant
Source category: Hands-On Workshops
Author collections: Carleigh Jo Crabtree
Schema-Preserving Generation of Clinical TLF Templates and Executable R Code via Iterative LLM-Guided Debugging
Source category: Advanced Programming
Statistical Programming Methods for Evaluating the Impact of Immunogenicity on Safety and Efficacy Outcomes
Source category: Analytics & Statistics
Author collections: Dinesh Putluri
Streamlining Statistical Programming with R: ADaM and TFL Validation Through a Compliant R Programming Environment
Source category: Scripts, Macros & Automation
The Evolution of Open-Source Technologies in the Pharmaceutical Industry: Python as a Cost-Effective Solution for Clinical Statistical Programming
Source category: Emerging Technologies (R, Python, GitHub etc.)
Author collections: Ramesh Potluri
The Next Frontier of Statistical Programming: Vibe Coding with AI Coding Agents into SAS, R & Python
Source category: AI in Pharma, Biotech and Clinical Data Science
Author collections: Kevin Lee · Nathan Lee
The Use of Git in Statistical Programming
Source category: Open Source Technologies
Author collections: Rita Pecuch · Jim Coates
Thriving in Change: Building People, Process and Technology Capabilities in Statistical Programming
Source category: Emerging Trends & Innovation
Timing, Masking, and Resolution: Understanding and Debugging SAS Macros
Source category: Advanced Programming
Author collections: Carleigh Crabtree
Understanding Administrative Healthcare Datasets using SAS programming tools.
Source category: Hands-On Training
Author collections: Jayanth Iyengar
Working with SAS and Microsoft 365 using SAS Programming
Source category: Demo Theater
Author collections: Chris Hemedinger
A Game Changer for Efficient SAS Programming using ChatGPT
Source category: Strategic Implementation & Innovation
Author collections: Jyoti (Jo) Agarwal
Adapting Leadership in Statistical Programming: Navigating Technological Advancements and Evolving Roles in the Pharmaceutical Industry
Source category: Emerging Trends
An End-to-End Approach to Fine-Tuning Small LLMs for Generating Admiral R Code in Statistical Programming
Source category: OS
Author collections: Tingting Tian · Jaime Yan