USDM Synthetic Test Data Generation
Source category: Application Development (AD)
Author collections: Stuart Malcolm
THE COMMUNITY ARCHIVE
SAS Conference Papers 2025Page 25
Indexed 2025 papers and presentations across the available conference sources. Each record retains the original author text and available material links.
1,029 papers · Showing 961–1000
Use Gen AI to program rules in R & Python to generate and validate metadata for data standards and study specifications.
Source category: Metadata Management
Author collections: Priyanka Sawant · Kairav Tarmaster
Use ODS Excel, ODS PDF, ODS HTML5, ODS LAYOUT
Source category: Beyond the Basics
Author collections: LeRoy Bessler
Use of SAS Packages in the Pharma Industry – Opportunities, Possibilities and Benefits
Source category: Solution Development
Author collections: Bart Jablonski
Using AI to Unlock New Levels of Productivity
Source category: SAS Innovate presentations
The publisher page does not identify individual presenters.
Using CDISC USDM and BCs to Select Data from Alternative Data Sources for Regulatory Purposes
Source category: Data Standards & Governance (DS)
Author collections: Berber Snoeijer
Using Large Language Models for Consistency Checking of Tables, Listings and Graphs
Source category: Scripts, Macros & Automation
Using SAS DATA Steps to Examine Effectiveness of State-Level Defensive Driving Program
Source category: SAS Innovate presentations
The publisher page does not identify individual presenters.
Using SAS Macro Statement to Combine and Merge Datasets for Temperature Study
Source category: Careers, Training, and Education (CTE)
File inside source ZIP: 42-Abbas-Tavakoli-supporting-document.pdf
Using SAS Model Manager to Deploy Models Trained in SAS Viya Workbench
Source category: SAS Innovate presentations
The publisher page does not identify individual presenters.
Using SAS to Show the Distribution and Severity of COVID-19
Source category: Visualizations and Reporting (VR)
File inside source ZIP: 94-LeRoy-Bessler-supporting-document.pdf
Author collections: LeRoy Bessler
Using SAS with Microsoft 365: A Programming Approach
Source category: Solution Development
Author collections: Chris Hemedinger
Using SAS With Microsoft 365: A Programming Approach
Source category: SAS Innovate presentations
The publisher page does not identify individual presenters.
Using the USDM and Ensuring Governance and Traceability to Unlock the Potential of Real-World Data Sources for Regulatory Submissions
Source category: Real-world Evidence
Author collections: Alistair Dootson · Berber Snoeijer
Using Visual Dashboards to Improve Data Accuracy
Source category: Poster Presentations (PP)
Author collections: Daniel Smith
Utility Macro for Ensuring Consistent Updates of CRF Data in SDTM
Source category: Scripts, Macros & Automation
Author collections: Naren Surampalli
Validate the Code, not just the Data : A System for SAS program evaluation
Source category: Beyond the Basics
Author collections: Jayanth Iyengar
Validate the Code, not just the Data : A System for SAS® program validation
Source category: Basics and Beyond
Author collections: Jayanth Iyengar
Validate the Code, not just the data: A system for SAS program validation
Source category: Advanced Programming
Author collections: Jayanth Iyengar
Validated Statistical Computing: A Kubernetes Framework for Regulatory-Compliant R, Python and SAS Deployments
Source category: Trends & Technology (TT)
Author collections: Randy Betancourt
Validating Your SAS Choice: The Next Generation of Analytics Starring SAS Viya
Source category: SAS Innovate presentations
The publisher page does not identify individual presenters.
Verifiable Compute to Trust AI in Regulated Workflows
Source category: Real-world Evidence
Author collections: Alistair Dootson
Verify: A First-in-Class Review and Validation Platform for Biometrics in Clinical Research
Source category: Software Demonstrations
Author collections: Ilan Carmeli · Achinoam Ravet-Parel
Versatile Graphic Presentation of Immunogenicity Analysis Results in Vaccine Studies with a Macro that Creates Multiple Forest Plots in One Output
Source category: Visualizations and Reporting (VR)
File inside source ZIP: 55-Hong-Wang-supporting-document.pdf
Author collections: Hong Wang
Visualising Longitudinal Patients’ Responses in a Clinical Study: A Unified Graphical Approach
Source category: Poster Presentations
Author collections: Sunil Kumar Pusarla
Visualising the Invisible: Patient Journey with Waterfall, Spider and Swimmer Plots
Source category: Data Visualisation (DV)
Author collections: Varsha Mithun Patil
Visualising Trends and Bottlenecks: A Python Web App for QC Progress Monitoring
Source category: Data Visualisation (DV)
Author collections: Spencer Renyard
Visualize High Dimension Data Using t-SNE
Source category: Artificial Intelligence and Machine Learning
Author collections: Jun Yang
Visualizing oncology data through 3D bar charts in R and Python
Source category: Data Visualization and Reporting
Author collections: Girish Kankipati · Venkatesulu Salla
Visualizing SQL Join Types with Venn Diagrams
Source category: Data Collection, Management, and Manipulation (DCMM)
File inside source ZIP: 20-Kirk Paul-Lafler-supporting-document.pdf
Author collections: Kirk Paul Lafler
Visually Exploring Kaplan-Meier Curves Using SAS GTL and R survminer
Source category: Data Visualization and Reporting
Author collections: Yang Gao
Wearable Technology: Enhancing Patient Monitoring and Real-World Evidence
Source category: Real-world Evidence
Author collections: Bill Qubeck · Sridhar Vijendra
What a Good One Looks Like Building a Team of Internal R Experts
Source category: Leadership Through Innovation (LI)
What comes first, the chicken (ADSL) or the egg (ADNCA)? Modularize your covariate creation to support flexible analysis dataset implementation!
Source category: Data Standards
Author collections: David Izard
What is Machine Learning, Anyway
Source category: Beyond the Basics
Author collections: Jim Box
What R We Counting? The Quest to Quantify R Usage in Biostatistics Organisations
Source category: OS
Author collections: Benjamin Arancibia
What We Gained (and Lost) by Using Python in SDTM Conversions
Source category: Standards Implementation (SI)
What’s black and white and sheds all over? The Python Pandas DataFrame, the Open-Source Data Structure Supplanting the SAS® Data Set
Source category: Hands-On Training
Author collections: Troy Hughes
What’s In a Message? Enhancing Error and Warning Messages for the Admiral R Package for ADaM Datasets
Source category: OS
Author collections: Ben Straub · Daniel Sjoberg
What's New With SAS 9.4M9?
Source category: SAS Innovate presentations
The publisher page does not identify individual presenters.