SAS Data-Driven Software Design: How to Develop More Modular, Maintainable, Fixable, Flexible, Configurable, Compatible, Reusable, Readable Software through Independent Control
Source category: Beyond the Basics
Author collections: Troy Hughes
THE COMMUNITY ARCHIVE
SAS Conference Papers 2025Page 18
Indexed 2025 papers and presentations across the available conference sources. Each record retains the original author text and available material links.
923 papers · Showing 681–720
SAS and R in Action: Comparison of XPT File Creation
Source category: Foundational Coding Skills (FCS)
File inside source ZIP: 32-Chen-Ling-supporting-document.pdf
Author collections: Chen Ling
SAS Code Hidden in Plain Sight
Source category: Intermediate and Advanced Coding Skills (IACS)
File inside source ZIP: 108-Bart-Jaboski-supporting-document.pdf
Author collections: Bart Jablonski
SAS Data-Driven Software Design: How to Develop More Modular, Maintainable, Fixable, Flexible, Configurable, Compatible, Reusable, Readable Software through Control Tables and Other Control Files
Source category: Foundational Coding Skills (FCS)
File inside source ZIP: 64-Troy-Hughes-supporting-document.pdf
Author collections: Troy Hughes
SAS Essentials I: How SAS Thinks
Source category: Basics and Beyond
Author collections: Susan Slaughter
SAS Essentials II: Introduction to DATA Step Programming
Source category: Basics and Beyond
Author collections: Susan Slaughter
SAS Essentials III: Introduction to SAS Procedures
Source category: Basics and Beyond
Author collections: Susan Slaughter
SAS Macro Case Study
Source category: Hands on Workshops (HOW)
File inside source ZIP: 111-Carleigh Jo-Crabtree-supporting-document.pdf
Author collections: Carleigh Jo Crabtree
SAS Macro Programming: The Basics and Beyond
Source category: Beyond the Basics
Author collections: Kirk Paul Lafler
SAS Macro to Calculate Standardized Mean Difference
Source category: Advanced Programming
Author collections: Tong Zhao
SAS Macros and PROC FCMP: A Comparative Inquiry into Reusability and Logic Design
Source category: Beyond the Basics
Author collections: Vijayasarathy Govindarajan
SAS packages - a modern code sharing medium for SAS.
Source category: Hands on Workshops (HOW)
File inside source ZIP: 12-Bart-Jaboski-supporting-document.pdf
Author collections: Bart Jablonski
SAS Program for Backup Zipping
Source category: Solution Development
Author collections: Tong Zhao
SAS Programming Approach for Adjustment of Treatment Switching Using the Two-Stage Method
Source category: Analytics & Statistics
Author collections: Santosh Kumar Davuluri · Mani Mudumba
SAS Trustworthy AI Examples
Source category: AI and Emerging Technology
SAS Viya and Posit Team Integration: Git-Enabled, AI-Driven Clinical Reporting with Azure and Open-Source Technologies
Source category: Application Development (AD)
SAS Viya Voyage - Onboarding, Learning, and Thriving in the Cloud
Source category: Posters
SAS, AI, and Me: Connecting SAS with AI to Become Almost Superhuman
Source category: AI, Analytics, and Statistics
Author collections: Steve Black
SAS® Macro Programming Tips and Techniques
Source category: Hands-On Training
Author collections: Kirk Lafler
SASBuddy: Enhancing SAS Programming with Large Language Model Integration
Source category: Machine Learning, AI and Large Language Models
Author collections: Derek Morgan · Karma Tarap
Save Time and Improve Data Quality with AI-Powered Edit Checks
Source category: Machine Learning, AI and Large Language Models
Author collections: Andrew Burd
Scaling Up: Accelerating Self-Hosted Open-Access LLMs to Compete with the Big Three (ChatGPT, Claude, Gemini)
Source category: Machine Learning, AI and Large Language Models
Author collections: Kostiantyn Drach · Iryna Kotenko
Scoring Real-World Data Reliability for Clinical Investigations
Source category: Hands-On Training
Author collections: James Joseph
SDTM Automation by Using Metadata to Drive R Functions for Data Transformation
Source category: Software Demonstrations
Author collections: Krishna Gopal · Jaya Simha Inampudi
SDTM Specification Automation Using an ML Approach to Provide Mappings
Source category: Machine Learning, AI and Large Language Models
Author collections: Jaya Simha Inampudi
SDTM Transformation through Artificial Intelligence (AI) and Human in the Loop (HITL): Lessons Learnt from Abbvie Case Study
Source category: Strategic Implementation & Innovation
Author collections: Aman Thukral
SDTM Upversioning – Dos & Don’ts
Source category: Data Standards & Governance
Author collections: Ramya Gangadi
Selecting GeARS: Analysis Results Standard Implementation Options for Accelerated Analysis and TFL Automation
Source category: Data Standards & Governance
Author collections: Bhavin Busa · Richard Marshall
Selective SAS Option Restoration with PROC COMPARE and PROC OPTLOAD
Source category: Foundational Coding Skills (FCS)
File inside source ZIP: 102-John-King-supporting-document.pdf
Author collections: John King
Sensitivity Analysis for Overall Survival
Source category: Statistics and Analytics
Author collections: Binal Mehta · Patel Mukesh
SET Statement Considered Harmful
Source category: Advanced Programming
Author collections: Bart Jablonski
Share your Macros and Programs via a SAS Studio GUI Interface
Source category: Solutions Development
Author collections: Jim Box
Share your Macros and Programs with SAS Studio Steps and Flows
Source category: Solution Development
Author collections: Jim Box · Pritesh Desai
Shining a Light on Adverse Event Monitoring with R Shiny
Source category: Data Visualization and Reporting
Author collections: Abigail Zysk
Shiny & LLMs: Landscape and Applications in Pharma
Source category: R, Python, and Open Source Technologies
Author collections: Phil Bowsher
Short-term forecasting with a computationally efficient nonparametric transfer function model
Source category: Statistics, Modeling, and Analytics (SMA)
File inside source ZIP: 44-Jun-Liu-supporting-document.pdf
Shots to Stats: AI’s Take on Alcohol Units
Source category: Poster Presentations (PP)
Showcasing a Shiny Tool for Evaluating Biomarkers for Derisking Clinical Trials
Source category: Data Visualisation (DV)
SI Add More MSG to Your Annotations
Source category: Standards Implementation (SI)
Simplify, Automate, Submit: An In-House Framework for Seamless Metadata Flow from (Pre)Production to Submission
Source category: Standards Implementation (SI)