An Introduction to Obtaining Test Statistics and P-Values from SAS® and R for Clinical Reporting
Source category: Statistics and Analytics
Author collections: Brian Varney
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PharmaSUG 2025 Papers ArchivePage 2
Browse indexed publications from PharmaSUG in 2025. Material labels distinguish papers, presentations, posters and proceedings listings where the source provides them.
258 papers · Showing 41–80
An Introduction to the Role of Statistical Programming in Medical Affairs
Source category: Strategic Implementation & Innovation
Author collections: Nagadip Rao
An Introduction to Using PROC S3 in SAS to Access and Manage Objects in Amazon S3
Source category: Real World Evidence and Big Data
Author collections: Kevin Russell
Application of advanced GenAI tools in sample size estimation – questions and thoughts
Source category: Artificial Intelligence and Machine Learning
Author collections: Igor Goldfarb · Ella Zelichonok
Approaches to Developing Multiple Imputation ADaM Datasets
Source category: Strategic Implementation & Innovation
Author collections: Kang Xie
Association of Alzheimer’s Disease with Cardiovascular Disease and Depression in Older Adults: Findings from the 2018 Nationwide Inpatient Sample
Source category: e-Posters
Author collections: Prayag Shah
Automated Word Report Generation for Standardized CMC PC Study with Programmatically Inserted Contents in R
Source category: Solution Development
Author collections: Song Liu · Jiannan Kang
Automating Define-XML Updates: A SAS-Based Framework for Submission Readiness
Source category: Metadata Management
Automating Recurring Data Reconciliation for Serious Adverse Events Using SAS
Source category: e-Posters
Author collections: Patrick Dowe
Automating SAS Program Header Updates with Macros
Source category: Advanced Programming
Author collections: Kexin Guan
Automating Superscript Display for Upper and Lower Limit of Quantification Values in Pharmacodynamic Tables
Source category: Statistics and Analytics
Automation of Trial Design Domains generation using AI
Source category: Artificial Intelligence and Machine Learning
Author collections: Prasoon Sangwan
Avoiding the Ouch: Mastering Time to Pain Progression Analysis
Source category: e-Posters
Author collections: Kavitha Boinapally · Yang Wang
BDS Dataset with PARQUAL and PARQTYP Variables for Time-to-Safety Events Analysis
Source category: Data Standards
Author collections: Kang Xie
Benefits, Challenges, and Opportunities with Open Source Technologies in the 21st Century
Source category: R, Python, and Open Source Technologies
Author collections: Kirk Lafler · Ryan Lafler · Joshua Cook · Stephen Sloan · Anna Wade
Better, Faster, Stronger: A Case Study in Updating SAS Macro Code with Run-time Optimization in Mind
Source category: Advanced Programming
Beyond Basic SG Procedures: Enhancing Visualizations in SAS Graphic
Source category: Data Visualization and Reporting
Author collections: Vicky Yuan
Beyond Tokenization: Considerations for Linking Healthcare Data Sets for Scientific Research
Source category: Real World Evidence and Big Data
Author collections: Jennifer Dusendang · Yuval Koren
Breaking Barriers in Clinical Trials: Insights into Platform Designs
Source category: Data Visualization and Reporting
Breaking Down Silos: Empowering Pharma Commercial Teams Through Integrated Data Insights
Source category: Data Visualization and Reporting
Author collections: Naquan Ishman
Bridging RStudio and LSAF: A Framework for Faster and Smarter Task Execution
Source category: Solution Development
Author collections: Jake Adler · Ben Howell
Bridging the Gap: Leadership of Statistical Programmers in Clinical Trials
Source category: Leadership and Professional Development
Author collections: Allison Covucci · Xiaohan Zou
Build vs. Buy: Strategic Considerations for Implementing AI Solutions in Pharma and Biotech Companies
Source category: Strategic Implementation & Innovation
Author collections: Rajesh Hagalwadi
Building a Scalable Training Platform for R: Empowering Analytics Excellence in Corporate Initiatives
Source category: R, Python, and Open Source Technologies
Building Extensible Python Classes for Analysis and Research : It’s Easier Than You Think!
Source category: R, Python, and Open Source Technologies
Author collections: Sundaresh Sankaran · Samiul Haque
Building Resilient Teams
Source category: Leadership and Professional Development
Author collections: Patrick Grimes
Building Robust R Workflows: Renv for Version Control and Environment Reproducibility
Source category: Solution Development
Author collections: Junze Zhang · Joshua Cook
Calculating exact posterior probabilities and credible intervals from Bayesian borrowing robust mixture priors for binary, count and continuous outcomes in R and SAS
Source category: Statistics and Analytics
Calculating the Physical Length of a PDF File String with ‘Times New Roman’ Font by SAS
Source category: Advanced Programming
Author collections: Yueming Wu · Steven Li
Catch Page Overflow Issues Quick and Easy – A Simple Python Solution
Source category: R, Python, and Open Source Technologies
Author collections: Junze Zhang · Huei-Ling Chen
Change the way you think of Codelist – Optimize managing Organization Controlled Terminology with a meta-model and its features to manage Codelist in MDR
Source category: Metadata Management
Author collections: Kairav Tarmaster
Checking Outside the Box: A Framework for Submission Success
Source category: Submission Standards
Author collections: Julie Ann Hood · Seiko Yamazaki
Checking SDTM Datasets from Biostatistical Perspective
Source category: e-Posters
Author collections: Inka Leprince · Elizabeth Li
Clinical Data Explorer: Transforming Clinical Data into Actionable Insights
Source category: Data Visualization and Reporting
Author collections: Karma Tarap · Tamara Martin
Clinical Data Quality Assurance: An Interactive Application for Data Discrepancy Detection
Source category: R, Python, and Open Source Technologies
Clopper Pearson CI? get your data ready for it!
Source category: Statistics and Analytics
Author collections: Ruth Rivera Barragan · Isaac Vazquez
Code Smarter, Not Harder: The 5 C’s of ChatGPT for the SASsy Professional
Source category: Artificial Intelligence and Machine Learning
Author collections: Charu Shankar · Kirk Lafler
Code Switching: Parallels between Human Languages and Multilingual Programming
Source category: R, Python, and Open Source Technologies
Author collections: Danielle Stephenson · Laura Mino
Combined Waterfall and Swimmer Plot using R for Visualization of Tumor Response Data
Source category: Data Visualization and Reporting
Common Issues in BIMO Clinical Site Dataset Packages
Source category: Submission Standards
Author collections: Michael Beers