{tflmetaR}: An R Package to Manage Metadata of Statistical Outputs
Source category: Open Source Technologies
THE COMMUNITY ARCHIVE
SAS and R Papers and Presentations
These papers examine using SAS alongside R and transferring data or analysis workflows between environments. Topics include interoperability, validation and reproducibility; check package and software versions in the source before reproducing an example.
288 papers · Showing 1–20
A Skeptics Guide to Using AI for Programming
Source category: Professional Development
Author collections: Frank Menius
Breaking into Statistical Programming: How SAS, R, Python, AI and ML Are Shaping Career Paths
Source category: Professional Development
Author collections: Kishore Pothuri
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 for the Long Haul: Managing Scope, Refactoring, and CI/CD in Internal R Packages
Source category: Emerging Technologies (R, Python, GitHub etc.)
Author collections: Chenchen Yu · Shannon Grant
Building for the Long Haul: Managing Scope, Refactoring, and CI/CD in Internal R Packages
Source category: Open Source Technologies
Author collections: Blazej (Moni) Neradilek · Chenchen Yu
Creating Reproducible Clinical Output with SASSY- Reporter Package
Source category: Emerging Technologies (R, Python, GitHub etc.)
Author collections: Vicky Yuan
Cross-Platform Programming for Clinical Development: Practical Use of SAS, R and Python
Source category: Scripts, Macros & Automation
Author collections: Vinay S
Evaluation of Azure OpenAI ChatGPT API as Code Assistance Tools for Statistical Programming in SAS, R and Python.
Source category: AI in Pharma, Biotech and Clinical Data Science
Author collections: Ajay Gupta · Misikir Tesfaye
Experience of an R Programmer Incorporating R in a SAS Studio Flow
Source category: Advanced Programming
Author collections: Shelby Taylor
From Manual to Automated”: An SAS® and R-Based Toolkit for Scalable SDTM Generation
Source category: Data Standards Implementation (CDISC, SEND, ADaM, SDTM)
Author collections: Hardik Sheth
From SAS to Cursor: Vibe-Coding into SAS, R & Python
Source category: Emerging Trends & Innovation
Author collections: Kevin Lee
From SAS to R for TLGs: A Case Study on Implementing an ‘R-First, SAS-QC’ Workflow for Time-to-Event Analysis
Source category: Open Source Technologies
From Timelines to Treatment Effects: Integrating Swimmer Plots in Clinical Programming with SAS and R
Source category: Poster Presentations
Author collections: Vinay S
Goodbye SAS, Hello R: Practical Workflows for CDISC Standards
Source category: Emerging Technologies (R, Python, GitHub etc.)
Author collections: Madeleine Penniston · Alyssa Wittle
Handle with Care: A Study-Specific Assessment of R Package Risk
Source category: Open Source Technologies
Author collections: Blazej (Moni) Neradilek · Shannon Grant
Hybrid SAS–R–Python Pipelines: Coordinating Multi-Language Workflows
Source category: Open Source Technologies
Author collections: Kala Shivali
Improving AI SAS-to-R Code Migration via an Intermediate Design Document Layer
Source category: AI in Pharma, Biotech and Clinical Data Science
Author collections: Junze Zhang · Amy Zhang
Integrating R Programming and Generative AI for Prompt-Driven Clinical Trial Data Analysis
Source category: Emerging Trends & Open Source Technologies
ISO 8601 and SAS®—and R! A Practical Approach
Source category: Data Standards Implementation (CDISC, SEND, ADaM, SDTM)
Author collections: Derek Morgan · Marckenley Mercie