Unleash the R-volution: A Blueprint for Building Package Validation Capabilities in our own organization
Source category: Emerging Technologies (R, Python, GitHub etc.)
Author collections: Kevin Lee
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PharmaSUG Papers ArchivePage 7
Browse indexed publications from PharmaSUG. Material labels distinguish papers, presentations, posters and proceedings listings where the source provides them.
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2,664 papers · Showing 241–280
Unleashing Open-Source Potential in SAS: The PharmaForest Ecosystem (proc pharmaforest data=open_source out=… 😉
Source category: Advanced Programming
Author collections: Ryo Nakaya
User-defined Functions for Programming Population PK and PKPD Datasets
Source category: Advanced Programming
Author collections: Hong Yan
Using Large Language Models to Validate TLF Outputs Against Statistical Review Comments: An End-to-End Python Framework
Source category: AI in Pharma, Biotech and Clinical Data Science
Vibe Coding: Coding with Agentic AI ( Hands-On Tutorial)
Source category: Hands-On Training
Author collections: Kevin Lee · Nathan Lee
Visualizing PK and ADA Data at Scale: A Parameter-Driven SAS Macro for Box Plot Generation
Source category: PK/PD/ADA and Quantitative Pharmacology
Author collections: Anilkumar Anksapur
Voice-driven Data Science: Real-Time Data Analysis with R
Source category: Data Visualization & Interactive Analytics
Author collections: Phil Bowsher
When Code Isn’t Enough: Communication and Leadership Skills for Statisticians and Programmers
Source category: Career Development, Leadership & Soft Skills
Author collections: John LaBore · Josh Horstman
Why Standards Matter More Than Code in the Age of GenAI
Source category: Data Standards Implementation (CDISC, SEND, ADaM, SDTM)
Author collections: Bhavin Busa
Women Leadership in AI-Driven Clinical Programming: Navigating Intersectionality and Innovation
Source category: Career Development, Leadership & Soft Skills
Author collections: Lida Gharibvand
“Leveraging Python for Statistical Analysis in Public Health: Techniques and Visualizations for Life Sciences Professionals”
Source category: Statistics and Analytics
{sdtm.oak} V0.1 on CRAN, sponsored by CDISC COSA, part of Pharmaverse, is an EDC and Data Standard agnostic solution for developing SDTM datasets in R.
Source category: R, Python, and Open Source Technologies
Author collections: Rammprasad Ganapathy
A Case Study on Visualization Methods in R
Source category: Data Visualization and Reporting
Author collections: Margaret Huang · Chunting Zheng · Lei Zhao · Todd Case
A codelist generator for define.xml using a SAS Studio macro and RStudio function
Source category: Solution Development
A collaborative and agile approach for end to end Standards Governance and Release
Source category: Submission Standards
Author collections: Kairav Tarmaster
A Customizable Framework in R for Presenting BICR Data in a User-Friendly Format
Source category: Data Visualization and Reporting
Author collections: Reneta Hermiz · Jing Ji
A discussion of the new ADaM guidance (ADNCA and ADPPK) for pharmacokinetics.
Source category: Data Standards
Author collections: Luke Reinbolt
A Game Changer for Efficient SAS Programming using ChatGPT
Source category: Strategic Implementation & Innovation
Author collections: Jyoti (Jo) Agarwal
A Gentle Introduction to creating graphs in Python, R and SAS
Source category: R, Python, and Open Source Technologies
Author collections: Dane Korver
A Little Bit of This and That: Use cases, implementation, and documentation when using multiple CDISC standards, CTs, and regulatory guidances in an SDTM study
Source category: Submission Standards
Author collections: Charity Quick
A Macro to Automate Data Visualization using SAS Graph Template Language (GTL)
Source category: e-Posters
Author collections: Ming Yang
A Macro to Automatically Check SAS Logs for Common Issues
Source category: Advanced Programming
A Method to Add Additional Necessary Datasets to Existing Define.XML
Source category: Solution Development
Author collections: Jeff Xia · Sandeep Meesala
A New Gateway to Open Source in SAS Viya
Source category: Advanced Programming
Author collections: Jim Box · Mary Dolegowski
A Novel ADEFF Design with Varying Baseline Type Selections
Source category: e-Posters
Author collections: Tingting Tian · Chao Su
A Quick Start Guide to Writing a Technical or Research Paper
Source category: Leadership and Professional Development
Author collections: Kirk Lafler
A SAS Macro Calculating Confidence Intervals of the Difference in Binomial Proportions from Stratified Analysis using the Miettinen & Nurminen Method with Cochran-Mantel-Haenszel Weights
Source category: Statistics and Analytics
Author collections: Mikhail Melikov · Brian Mosier
A SAS® System 7-zip macro that creates a zip archive and a file archive macro: versioning in the context of a private library of programs.
Source category: Solution Development
Author collections: Kevin Viel
A SAS® System PowerShell macro to report directory-level metrics by Owner (programmer).
Source category: Solution Development
Author collections: Kevin Viel
A Step-by-Step Guide to Calculating Relative Dose Intensity in Solid Tumor Studies
Source category: Statistics and Analytics
Accelerating Data Discovery and Governance: Unlocking Insights with Metadata Management, Data Catalogs, and LLM Integration for Streamlined Regulatory Approval in Clinical Trials
Source category: Metadata Management
Author collections: Pritesh Desai · Samiul Haque
Achieving Reliable Data Verification with R: Proven Tools, Best Practices, and Innovative Workflows
Source category: R, Python, and Open Source Technologies
Author collections: Valeria Duran · Xuehan Zhang
Active Social Engagement in Remote Working Environments
Source category: Leadership and Professional Development
Author collections: Christine Reiff
ADaM and TFLs for Drug-induced Liver Injury (DILI) Analysis
Source category: Submission Standards
Author collections: Song Liu · Rambabu Sura
ADaM Fundamental Principles vs. Rules: Which to Follow, When, and Why?
Source category: Data Standards
Author collections: Sandra Minjoe · Mario Widel
ADaM implementation for Anti-drug Antibody Data
Source category: e-Posters
Author collections: Jiannan Kang · Luke Reinbolt
ADaM Pet Peeves: Things Programmers Do That Make Us Crazy
Source category: Data Standards
Author collections: Sandra Minjoe · Nancy Brucken
Addressing Challenges in Real-World Evidence Generation: The AI-SAS for Real-World Evidence Approach
Source category: Real World Evidence and Big Data
Author collections: Yuki Yoshida · Yoshitake Kitanishi
Addressing early challenges in RWD data standardization for analysis and reporting of RWE studies
Source category: Real World Evidence and Big Data
Author collections: Xingshu Zhu · Li Ma · Bo Zheng
Advanced ODS Excel Tricks: Password Protected Workbooks and Clickable Navigation
Source category: Advanced Programming
Author collections: Jeffrey Meyers