Route Sixty-Six to SAS Programming, or 63 (+3) Syntax Snippets for a Table Look-up Task, or How to Learn SAS by Solving Only One Exercise!
Source category: Hands-On Training
Author collections: Bart Jablonski · Quentin McMullen
THE COMMUNITY ARCHIVE
PharmaSUG Papers ArchivePage 12
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 441–480
Running the CDISC Open Rules Engine (CORE) in BASE SAS©
Source category: Solution Development
Author collections: Lex Jansen
SAS Macro to Calculate Standardized Mean Difference
Source category: Advanced Programming
Author collections: Tong Zhao
SAS Program for Backup Zipping
Source category: Solution Development
Author collections: Tong Zhao
SAS® Macro Programming Tips and Techniques
Source category: Hands-On Training
Author collections: Kirk Lafler
Scoring Real-World Data Reliability for Clinical Investigations
Source category: Hands-On Training
Author collections: James Joseph
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
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 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
Simulating Optimal Sample Sizes for Canine Jaws Using SAS®
Source category: Statistics and Analytics
Author collections: Chary Akmyradov · Lida Gharibvand
Slamming Datasets Together, Without Hurt, Using SAS, R and Excel
Source category: e-Posters
Author collections: David Franklin
Slice, Dice, Analyze: Revolutionizing SDTM cuts with datacutr package
Source category: R, Python, and Open Source Technologies
Statistical Programming Outputs Comparison and Reporting Using Python
Source category: e-Posters
Stop Making More Physical Copies of Your Data: A Modern Approach to Traceability and Fidelity
Source category: Strategic Implementation & Innovation
Author collections: Anthony Chow
Strategies for Thriving During Change and Uncertainty
Source category: Leadership and Professional Development
Author collections: Maria Dalton
Strategies to Encourage Adoption and Innovation in Statistical Programming
Source category: Strategic Implementation & Innovation
Streamlining and Accelerating Clinical Research through AI and GenAI driven Insights and safety review of Medical and Scientific Literature
Source category: Artificial Intelligence and Machine Learning
Author collections: Rohit Kadam · Saurabh Das · Rajasekhar Gadde · Niketan Panchal
Streamlining BIMO and Patient Profile Generation: A Python-Based Semi-Automated Approach Integrated with CSR Development
Source category: R, Python, and Open Source Technologies
Author collections: Dmytro Skorba · Mykyta Vysotskyi
Streamlining Validation Review and SAS® Program Management with R
Source category: R, Python, and Open Source Technologies
Author collections: Huei-Ling Chen
Streamlining Your Workflow: Creating Portable and Automated SAS® Enterprise Guide Project Using Project Name
Source category: e-Posters
Author collections: Chary Akmyradov
Sugar Rush: SQL Master Class for Pharma Professionals
Source category: Advanced Programming
Author collections: Charu Shankar
Super Learner for Predictive Modeling and Causal Analysis
Source category: Statistics and Analytics
Author collections: Michael Lamm
Swanky Sankey Enhancements: Transforming a Graph with Pretty Curves to a Research Tool uncovering Deeper Scientific Insights
Source category: Data Visualization and Reporting
Author collections: Siqi Wang · Toshio Kimura
The (ODS) Output of Your Desires: Creating Designer Reports and Data Sets
Source category: Hands-On Training
Author collections: Louise Hadden
The {teal} Adoption Playbook: Strategies, Tools, and Learning Paths for Open Source
Source category: R, Python, and Open Source Technologies
Author collections: Vedha Viyash
The Allowable Total Difference Zone: A construction method using the ATDzone SAS® Macro
Source category: Statistics and Analytics
Author collections: Jesse Canchola · Natasha Oza
The Current State of Teaching Biostatistics in Academia: Challenges and Software Solutions
Source category: Strategic Implementation & Innovation
Author collections: Lida Gharibvand
The Many Use Cases of Standardized Data and Metadata
Source category: Metadata Management
Author collections: Sanjiv Ramalingam
The Many Ways to Build Cohorts to Effectively Generate Real World Evidence and Bring Drugs to Patients Faster
Source category: Real World Evidence and Big Data
Author collections: Sherrine Eid · Mary Dolegowski
The Model Maketh the Metadata
Source category: Metadata Management
Author collections: Carlo Radovsky
The Show Must Go On: Best Practices for Submitting SDTM Data for Ongoing Studies
Source category: Submission Standards
Author collections: Kristin Kelly
The Winding Road to ADSL
Source category: Data Standards
Author collections: Elizabeth Dennis · Grace Fawcett
The World is Not Enough: Base SAS Visualizations and Geolocations
Source category: e-Posters
Author collections: Louise Hadden
Time to Event Analysis from Sample Size Considerations to Results Interpretation in Simple Words
Source category: Real World Evidence and Big Data
Author collections: Iryna Kotenko
Time-to-Deterioration for Patients Reported Outcomes
Source category: Data Standards
Author collections: Christine Teng
TLFQC: A High-compatible R Shiny based Platform for Automated and Codeless TLFs Generation and Validation
Source category: R, Python, and Open Source Technologies
Author collections: Chen Ling · Yachen Wang
Towards an Integrated Submission-Ready Data Pipeline: Unifying Compliance, Automation, and Open-Source Innovation
Source category: Strategic Implementation & Innovation
Author collections: Shivani Gupta · Bhavin Busa