Manual vs AI-Assisted Workflows: Practical Strategies for Complex R Package Development
Source category: Open Source Technologies
Author collections: Vedha Viyash
THE COMMUNITY ARCHIVE
SAS and R Papers and PresentationsPage 2
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 21–40
mkheader: An R Package for Automated Generation and Management of Program Headers in Clinical Trial Programming
Source category: Emerging Technologies (R, Python, GitHub etc.)
Author collections: Gabriela Piasecki · Laura Frederick
mkheader: An R Package for Automated Generation and Management of Program Headers in Clinical Trial Programming
Source category: Open Source Technologies
Author collections: Laura Frederick · Gabriela Piasecki
Modern Data Science with SAS Viya Workbench: Unified Development with SAS, Python, and R
Source category: Emerging Technologies (R, Python, GitHub etc.)
Author collections: Shelby Taylor
Optimising R Package Development: A Detailed Guide to Workflow and Best Practices
Source category: Poster Presentations
R Package Management in LSAF: Challenges and Solutions
Source category: Tools, Tech & Innovation
Author collections: Praneeth Adidela
Rule-Based Auto-SDTM Mapping Software in Python, Which Automatically Generates Executable SAS or R Programs
Source category: Emerging Trends & Innovation
Author collections: Bill Zhang
SAS and R for Expanding Data for Pharmacometrics Analysis (PMx) Analysis Data Sets
Source category: PK/PD/ADA and Quantitative Pharmacology
Author collections: Rebecca Humphrey
SAS to R: A Practical Bridge for Programmers
Source category: Tools, Tech & Innovation
Author collections: Jyoti (Jo) Agarwal
SAS to R: CHEAT SHEET – A Practical Guide for Clinical Programmers
Source category: Poster Presentations
Author collections: Jalendhar Ettedi · Lekitha Jk
SAS to R: Opportunities and Challenges in SDTM and ADaM Transformation
Source category: Coding Tips & Tricks
Author collections: Jalendhar Ettedi
Scalable R Packages Qualification Using a CI/CD Approach
Source category: Risk-Based Quality Monitoring
Streamlining Statistical Programming with R: ADaM and TFL Validation Through a Compliant R Programming Environment
Source category: Scripts, Macros & Automation
Summary Outputs Made Simple: A Mirror View for SAS Programmers Exploring R
Source category: Poster Presentations
Author collections: Venkata Koteswara Rao Rayala
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
Tipping Point Analysis in R and SAS: A Comparative Approach to Handling Missing Data in Clinical Research
Source category: Poster Presentations
Transitioning from SAS to R: Implementing Reproducible R Workflows for TLF Validation
Source category: Emerging Technologies (R, Python, GitHub etc.)
Trusting Your R Packages: A Practical, Risk-Based Approach to External Package Validation
Source category: Emerging Technologies (R, Python, GitHub etc.)
Author collections: Radhika Etikala · Valeria Duran
Unlock Deeper Clinical Insights: A Unified Approach to Data Analysis with SAS, R and Python
Source category: Emerging Trends & Open Source Technologies
User-defined Functions for Programming Population PK and PKPD Datasets
Source category: Advanced Programming
Author collections: Hong Yan