Welcome to the PharmaSUG 2025 Interactive Schedule Grid. Use the links below to jump to a portion of the schedule, then click on a paper title to view the abstract and other details!

(Revised 28-May-2025)

Monday AM Early

Monday AM Late

Monday PM Early

Monday PM Late

Tuesday AM Early

Tuesday AM Late

Tuesday PM Early

Tuesday PM Late

Wednesday AM Early

Wednesday AM Late

 

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Monday AM Early

Section	8:00 AM	8:15 AM	8:30 AM	8:45 AM	9:00 AM	9:15 AM
Advanced Programming			You’ve Got Options: Five-Star SAS® System Option Hacks		Worried about that Second Date with ISO®? Using PROC FCMP to Convert and Impute ISO 8601 Dates to Numeric Dates
Artificial Intelligence and Machine Learning			Traceability and AI for Improved Understanding, Communication and QC of Clinical Trials		Generating Synthetic Clinical Trial Data with AI: Methods, Challenges, and Insights
Data Standards					The Winding Road to ADSL
Data Visualization and Reporting			A Case Study on Visualization Methods in R		Visualizing oncology data through 3D bar charts in R and Python
Hands-On Training	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!
R, Python, and Open Source Technologies			An End-to-End Workflow for TFL Generation using R: MMRM Applications and Comparative Insights with SAS		Unlocking Insights: Comparative Analysis of CRF Changes with R Shiny
Solution Development			Enhance your Coding Experience with the SAS Extension for VS Code		Automated Word Report Generation for Standardized CMC PC Study with Programmatically Inserted Contents in R
Statistics and Analytics	Calculating exact posterior probabilities and credible intervals from Bayesian borrowing robust mixture priors for binary, count and continuous outcomes in R and SAS</a		Sensitivity Analysis for Overall Survival		A Step-by-Step Guide to Calculating Relative Dose Intensity in Solid Tumor Studies
Strategic Implementation & Innovation			Decoding the Role of Statistical Programming – A Decade of Keytruda Submissions and Approvals		Stop Making More Physical Copies of Your Data: A Modern Approach to Traceability and Fidelity

Monday AM Late

Section	10:00 AM	10:15 AM	10:30 AM	10:45 AM	11:00 AM	11:15 AM	11:30 AM	11:45 AM
Advanced Programming	Writing SAS MACROs in R? R functions can help!		Better, Faster, Stronger: A Case Study in Updating SAS Macro Code with Run-time Optimization in Mind		Programmatic Annotation of Case Report Forms		SET Statement Considered Harmful
Artificial Intelligence and Machine Learning	Translation from SAS® to R Using ChatGPT®				Leveraging Gen AI (ChatGPT, Gemini) API for Advanced Biometric Analysis in SAS, Python and R		Gen AI Assisted Code Conversion: From SAS to R Standard ADaM Templates
Data Standards	Name That ADaM Dataset Structure		Which ADaM Data Structure Is Most Appropriate? Gray Areas in BDS and OCCDS.		ADaM Fundamental Principles vs. Rules: Which to Follow, When, and Why?		What comes first, the chicken (ADSL) or the egg (ADNCA)? Modularize your covariate creation to support flexible analysis dataset implementation!
Data Visualization and Reporting	Amazing Graph Series: Advanced SAS® Visualization to Wake Up Your Data – From Static to Fantastic		An Integrated R Shiny Solution for Dynamic Subgroup Adjustments and Customizations		Enhance Safety Data Analysis Using SafetyGraphic R Package		Shining a Light on Adverse Event Monitoring with R Shiny
Hands-On Training	What’s black and white and sheds all over? The Python Pandas DataFrame, the Open-Source Data Structure Supplanting the SAS® Data Set
R, Python, and Open Source Technologies	Streamlining Validation Review and SAS® Program Management with R		How to compute common clinical trials statistics in R		TLFQC: A High-compatible R Shiny based Platform for Automated and Codeless TLFs Generation and Validation		The {teal} Adoption Playbook: Strategies, Tools, and Learning Paths for Open Source
Solution Development	Running the CDISC Open Rules Engine (CORE) in BASE SAS©				Unleash Your Coding Potential: SAS PRX Functions for Next-Level String Manipulations
Statistics and Analytics	A SAS Macro Calculating Confidence Intervals of the Difference in Binomial Proportions from Stratified Analysis using the Miettinen & Nurminen Method with Cochran-Mante		Programming Perspectives for Efficient and Accurate C-QTc Analysis		Mastering the Maze of Oncology Endpoints: A Unified SAS Approach for Randomized Controlled Trial Analysis		Implementation of the inverse probability of censoring weighting (IPCW) Model in Oncology Trials
Strategic Implementation & Innovation	Generative AI in Biometrics: Transforming Clinical Trials with Supercharged Efficiency an Innovation		A Game Changer for Efficient SAS Programming using ChatGPT		An Introduction to the Role of Statistical Programming in Medical Affairs		Towards an Integrated Submission-Ready Data Pipeline: Unifying Compliance, Automation, and Open-Source Innovation
Water Cooler Chats	Thriving, not Just Surviving – Strategies for Strong Teams				Biostats and Life Science – Educating for Future Success

Monday PM Early

Section	1:30 PM	1:45 PM	2:00 PM	2:15 PM	2:30 PM	2:45 PM	3:00 PM	3:15 PM
Advanced Programming	Four roads lead to Outputting Datasets Dynamically (ODDy) & Beyond		Calculating the Physical Length of a PDF File String with ‘Times New Roman’ Font by SAS	Develop a SAS® Macro for Dataset/Program Timestamp Version Control	When PROC SORT Isn’t Enough: Implementing Horizontal Sorting in SAS	SAS Macro to Calculate Standardized Mean Difference	A New Gateway to Open Source in SAS Viya
Artificial Intelligence and Machine Learning	Integrating Generative AI into Medical Writing: Building an Interactive Drafting and Search Framework		Incorporating LLMs into SAS Workflows		Get Started with ChatGPT and DeepSeek in SAS		Automation of Trial Design Domains generation using AI
Hands-On Training	AI Performing Statistical Analysis: A Major Breakthrough in Clinical Trial Data Analysis				The (ODS) Output of Your Desires: Creating Designer Reports and Data Sets
Leadership and Professional Development	A Quick Start Guide to Writing a Technical or Research Paper		Unveiling Paradoxical Pathways: A Counterintuitive Compass for Strategic Decision-Making		AI is coming for you: New Biometric Leadership in the era of Gen AI		Rising Above Artificial Intelligence: Feeling Confident With Your Human Intelligence
R, Python, and Open Source Technologies	Shiny & LLMs: Landscape and Applications in Pharma		Slice, Dice, Analyze: Revolutionizing SDTM cuts with datacutr package		Identifying Breaking Changes in R Packages: pkgdiff		Geocoding with the Google Maps API: Using PROC FCMP To Call User-Defined SAS® and Python Functions That Geocode Coordinates into Addresses, Calculate Routes, and More!
Solution Development	A Method to Add Additional Necessary Datasets to Existing Define.XML	Integrating SAS DDE to Automate Excel Task Tracking in Pharmaceutical Statistical Programming	Low-Code Solutioning in SAS Viya for Automated Clinical Data Quality, Decisioning and Harmonization		AI Search LOG		Bridging RStudio and LSAF: A Framework for Faster and Smarter Task Execution
Statistics and Analytics	Promising Zone Designs for Sample Size Re-estimation in Clinical Trials: Graphical Approaches Using SAS	Automating Superscript Display for Upper and Lower Limit of Quantification Values in Pharmacodynamic Tables	Clopper Pearson CI? get your data ready for it!	Handling Missing Data in External Control Arms: Best Practices, Recommendations, and SAS Code Examples	Incorporating Frailty into Time-to-Event Analysis: A Practical Approach with R frailtypack		Roadmap to Efficacy Analysis for Early Phase Oncology studies
Strategic Implementation & Innovation	Integration Contemplation: Considerations for a Successful ISS/ISE from Planning to Execution		Transitioning External Clinical Studies to Internal: A Framework for Knowledge Transfer and Operational Excellence		Build vs. Buy: Strategic Considerations for Implementing AI Solutions in Pharma and Biotech Companies
Submission Standards	Checking Outside the Box: A Framework for Submission Success		Updating Define-XML packages: Tips and A Comprehensive Checklist		PDFs Done Right: The Statistical Programmer’s Guide to Flawless Regulatory Submissions		A collaborative and agile approach for end to end Standards Governance and Release
Water Cooler Chats	Open Source Expansion – Where are We Now?				SDTM: Practical Strategies and New Approaches

Monday PM Late

Section	4:00 PM	4:15 PM	4:30 PM	4:45 PM	5:00 PM	5:15 PM
Advanced Programming	Listing Shell To Sas Program Automation Tool		Implementing Data Checks for Patient Registries — A Modular Approach
Artificial Intelligence and Machine Learning	Code Smarter, Not Harder: The 5 C’s of ChatGPT for the SASsy Professional				AI-Assisted Transition: from SAS to RStudio for PK Summary Analysis
Hands-On Training	Trying Out Positron: New IDE for Statistical Programming
Leadership and Professional Development	Building Resilient Teams		Mastering Modern Leadership Through Authenticity, Empathy, Purpose, and Influence		Essential Elements for an Effective New-Hire Training Handbook
R, Python, and Open Source Technologies	Unlocking Success: Lessons from Building R-Based Statistical Packages in Pharma		Building a Scalable Training Platform for R: Empowering Analytics Excellence in Corporate Initiatives		Clinical Data Quality Assurance: An Interactive Application for Data Discrepancy Detection
Solution Development	How to get your SAS’Python’R workout on a new SAS Viya Workbench.		Optimizing SAS Programming Pipelines Using the %Unpack and %SearchReplace Macros for Version Control and Customization		SAS Program for Backup Zipping
Statistics and Analytics	An Introduction to Obtaining Test Statistics and P-Values from SAS® and R for Clinical Reporting		The Allowable Total Difference Zone: A construction method using the ATDzone SAS® Macro		Landmark Analysis: A Method for Accurate Prediction of Time-Dependent Clinical Risks and Their Effect on Patient Outcomes
Strategic Implementation & Innovation	The Current State of Teaching Biostatistics in Academia: Challenges and Software Solutions		Elevating Clinical Research: Strategic Implementation of CDASH and SDTM Standards
Submission Standards	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		Common Issues in BIMO Clinical Site Dataset Packages		Leveraging previous study data for Extension studies: Structuring Subject and Participant Level Analysis datasets using CRF data
Water Cooler Chats	SAS and Beyond – Programming Best Practices and Bad Habits

Tuesday AM Early

Section	8:00 AM	8:15 AM	8:30 AM	8:45 AM	9:00 AM	9:15 AM	9:30 AM
Advanced Programming			Why SASSY?		Validate the Code, not just the data: A system for SAS program validation
Artificial Intelligence and Machine Learning			Streamlining and Accelerating Clinical Research through AI and GenAI driven Insights and safety review of Medical and Scientific Literature		Application of advanced GenAI tools in sample size estimation – questions and thoughts
Data Standards			Efficient CDISC Controlled Terminology Mapping: An R-Based Automation Solution		Decoding Laboratory Toxicity Grading: Unlocking the Potential and Overcoming Challenges of CTCAE	A discussion of the new ADaM guidance (ADNCA and ADPPK) for pharmacokinetics.
Data Visualization and Reporting			Zero to Hero: The Making of a Comprehensive R Shiny Figures App		Integrated R scripts to Power BI
Hands-On Training	Introduction to SAS Viya
Leadership and Professional Development			From Null to Notable: Creating a Brand on Social Media		Proc LIFE-REFLECT: Surviving the Leadership Journey
R, Python, and Open Source Technologies			Reach for R Low Hanging Fruit for Faster Results		{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.
Solution Development			A codelist generator for define.xml using a SAS Studio macro and RStudio function		Improve Your CRF Review Process: A Python-Based Approach to Capturing CRFs via Browser Automation
Strategic Implementation & Innovation			Navigating Compliance Excellence: ISO Standards & Data Privacy Implementation		Strategies to Encourage Adoption and Innovation in Statistical Programming

Tuesday AM Late

Section	10:00 AM	10:15 AM	10:30 AM	10:45 AM	11:00 AM	11:15 AM	11:30 AM	11:45 AM	12:00 PM
Advanced Programming	Macro to Compare ADaM Spec Derivations Against Available SDTM Data	A Macro to Automatically Check SAS Logs for Common Issues	Mining Data from PDF Files Using SAS	Using the ODS EXCEL Engine to Create Customized MS Excel Workbooks	How Not to Drown in Code When Pooling Data		How Not to SAS: Avoiding Common Pitfalls and Bad Habits
Artificial Intelligence and Machine Learning	Visualize High Dimension Data Using t-SNE		Harnessing AI & CDISC ARS for Effortless Statistical Reporting & CSR Writing		Productive Safety Signal Detection and Analysis using In-context Learning		AI-Powered Data Issue Tracker for Efficient Data Issue Tracking and Resolution
Data Standards	ADaM Pet Peeves: Things Programmers Do That Make Us Crazy		Creating JSON Transport Data for Regulatory Life Sciences		Cytokine Release Syndrome (CRS) – Data Collection, Clinical Database Integration and Analyses in a Dose Escalation Cell Therapy Trial		Getting under the ‘umbrella’ of Specimen-based Findings Domains!
Data Visualization and Reporting	Unleashing Oncology Revenue Insights: Advanced Forecasting Frameworks in Action		Efficiently Creating Multiple Graphs on One Page utilizing SAS: Comparing PROC GREPLAY and ODS LAYOUT Approaches		Beyond Basic SG Procedures: Enhancing Visualizations in SAS Graphic		Combined Waterfall and Swimmer Plot using R for Visualization of Tumor Response Data
Hands-On Training	SAS® Macro Programming Tips and Techniques
Leadership and Professional Development	Middle Manager’s Playbook: How to Build and Lead a Strong Remote Team		Data management and biostatistics synergy: how to achieve and what can be expected		Leading Through Change: Motivating Programming Teams During Mergers and Integrations		Bridging the Gap: Leadership of Statistical Programmers in Clinical Trials
R, Python, and Open Source Technologies	Comparing SAS® and R Approaches in Reshaping data	A Gentle Introduction to creating graphs in Python, R and SAS	Code Switching: Parallels between Human Languages and Multilingual Programming		Advanced Programming with R: Leveraging Tidyverse and Admiral for ADaM Dataset Creation with a Comparison to SAS		R Programming in SAS® LSAF: How to Generate Clinical Reports Using an R Session	Debugging Options in R: Applications and Usage in Clinical Programming
Solution Development	Use of SAS Packages in the Pharma Industry – Opportunities, Possibilities and Benefits				Using SAS with Microsoft 365: A Programming Approach
Strategic Implementation & Innovation	Comparing SQL and Graph Database Query Methods for Answering Clinical Trial Questions with LLM-Powered Pipelines		SDTM Transformation through Artificial Intelligence (AI) and Human in the Loop (HITL): Lessons Learnt from Abbvie Case Study		Navigating the transition of legacy processes for SDTM creation		Approaches to Developing Multiple Imputation ADaM Datasets
Water Cooler Chats	Leveraging GenAI for Transforming Clinical Trials				AI – Tools Within Reach for Today

Tuesday PM Early

Section	1:30 PM	1:45 PM	2:00 PM	2:15 PM	2:30 PM	2:45 PM	3:00 PM	3:15 PM	3:30 PM
Advanced Programming	Last Observation Carried Forward (LOCF) in Longitudinal Patient Studies: A Functional Approach to Imputing Missing Values Using PROC FCMP, the SAS® Function Compiler</		Sugar Rush: SQL Master Class for Pharma Professionals		Advanced ODS Excel Tricks: Password Protected Workbooks and Clickable Navigation		Efficiency Techniques in SAS® 9.
Data Visualization and Reporting	Visually Exploring Kaplan-Meier Curves Using SAS GTL and R survminer	Risk Mitigation Solution for Kaplan-Meier Plot in Drug Labeling	Swanky Sankey Enhancements: Transforming a Graph with Pretty Curves to a Research Tool uncovering Deeper Scientific Insights	Breaking Barriers in Clinical Trials: Insights into Platform Designs	Jazz Up Your Profile: Perfect Patient Profiles in SAS® using ODS Statistical Graphics
Leadership and Professional Development	Follow the Yellow Brick Road: Finding the Critical Path for a Study’s Lifespan		Active Social Engagement in Remote Working Environments		Empowering the Next Generation of Professionals: Merck’s Approach to Rising Talent Engagement and Leadership Development in Statistical Programming		Strategies for Thriving During Change and Uncertainty
Metadata Management	The Model Maketh the Metadata		Does SDTM Validation Really Require Double Programming?		Automating Define-XML Updates: A SAS-Based Framework for Submission Readiness		Accelerating Data Discovery and Governance: Unlocking Insights with Metadata Management, Data Catalogs, and LLM Integration for Streamlined Regulatory Approval in Clini
Panel Discussion			DEI Workshop
R, Python, and Open Source Technologies	Interactive Longitudinal Data Analysis and Visualization in Clinical Research Using R.		Putting the ‘R’ in RWD: Leveraging R and Posit to enhance Real World Data Programming	Achieving Reliable Data Verification with R: Proven Tools, Best Practices, and Innovative Workflows	Packing PDF TFL with Table of Contents and Bookmarks Using Python		Python with Hermione: Unleash Your Inner Coding Witch & Dragon
Real World Evidence and Big Data	Leveraging Health Technology Assessment (HTA) for Market Access: A Statistical Programming Perspective on German HTA Submission		Addressing early challenges in RWD data standardization for analysis and reporting of RWE studies		Addressing Challenges in Real-World Evidence Generation: The AI-SAS for Real-World Evidence Approach		You don’t have to handle the truth! Three Things to Know about Synthetic Data
Solution Development	Share your Macros and Programs with SAS Studio Steps and Flows		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.		Building Robust R Workflows: Renv for Version Control and Environment Reproducibility		Enhancing Clarity and Efficiency in Clinical Statistical Programming Task Management: An Automated Integrated Task Reporting Solution with Excel and Python
Submission Standards	Handling Health Regulatory Information Requests: Best Practices and Strategies		Key guidelines, Tricks and Experiences for PMDA and comparison with FDA and CDE submission		The Show Must Go On: Best Practices for Submitting SDTM Data for Ongoing Studies		Identification of Domains Containing Screen Failure Participants in SDTMs and ADaMs for Reviewer’s Guides	Exploring the Upcoming Integrated cSDRG!
Water Cooler Chats	Everything You Always Wanted to Know About SAS Packages but Were Afraid to Ask				ADaM Musings – Best Practices and Bad Habits

Tuesday PM Late

Section	4:00 PM	4:15 PM	4:30 PM	4:45 PM	5:00 PM	5:15 PM	5:30 PM
Advanced Programming	Automating SAS Program Header Updates with Macros		Get Tipsy with Debugging Tips for SAS® Code: The After Party
Data Visualization and Reporting	A Customizable Framework in R for Presenting BICR Data in a User-Friendly Format		Breaking Down Silos: Empowering Pharma Commercial Teams Through Integrated Data Insights		Clinical Data Explorer: Transforming Clinical Data into Actionable Insights
Leadership and Professional Development	Embracing Continuous Learning in the Life Sciences Ecosystem		Programming Challenges in Master Protocols		Optimized Resourcing Strategies in Statistical Programming within CROs and Considerations for AI Integration in Resource Management
Metadata Management	The Many Use Cases of Standardized Data and Metadata		Enhancing Dictionary Management and Automation with NCI EVS: A Deeper Dive for the CDISC Community
Panel Discussion	DEI Panel Discussion
R, Python, and Open Source Technologies	Building Extensible Python Classes for Analysis and Research : It’s Easier Than You Think!		Catch Page Overflow Issues Quick and Easy – A Simple Python Solution
Real World Evidence and Big Data	Conducting Survival Analysis in SAS using Medicare Claims as a Real-world data source.		Time to Event Analysis from Sample Size Considerations to Results Interpretation in Simple Words		Beyond Tokenization: Considerations for Linking Healthcare Data Sets for Scientific Research
Solution Development	A SAS® System PowerShell macro to report directory-level metrics by Owner (programmer).
Submission Standards	Ensuring Data Integrity: Techniques for Validating SDTM Datasets in Clinical Research		ADaM and TFLs for Drug-induced Liver Injury (DILI) Analysis		Evaluation of the Process to Create CLINSITE define.xml: Macro Approach vs. ADCLIN Spec

Wednesday AM Early

Section	8:00 AM	8:15 AM	8:30 AM	8:45 AM	9:00 AM	9:15 AM
Data Standards	Multiple Imputation Techniques in the Context of ADaM Datasets		BDS Dataset with PARQUAL and PARQTYP Variables for Time-to-Safety Events Analysis		Impact of Drug Accountability on Drug Compliance and Dose Intensity in Clinical Trials
Hands-On Training	Hands-on Training: eTFL Portal & TFL Designer Community
Metadata Management	AI Empowered Metadata Governance		Enhancing Health Equity Outcomes through Comprehensive Data Collection of Marginalized Populations including Sexual Orientation, Gender Identity and Intersex Status (SO		Change the way you think of Codelist – Optimize managing Organization Controlled Terminology with a meta-model and its features to manage Codelist in MDR
R, Python, and Open Source Technologies	Benefits, Challenges, and Opportunities with Open Source Technologies in the 21st Century		Integrating Collaborative Programming with Automated Traceability and Reproducibility in Pharma Studies and Real-World Data Projects by Adapting DevOps Best-Practices</		Streamlining BIMO and Patient Profile Generation: A Python-Based Semi-Automated Approach Integrated with CSR Development
Real World Evidence and Big Data	Practical Process in SAS of Using External Controls		An Introduction to Using PROC S3 in SAS to Access and Manage Objects in Amazon S3		Going from PROC SQL to PROC FedSQL for CAS Processing – Common mistakes to avoid.
Statistics and Analytics	Super Learner for Predictive Modeling and Causal Analysis		Practical considerations for Intercurrent Events and Multiple Imputation		Efficacy Endpoints Related to CNS in Oncology Studies within ADaM

Wednesday AM Late

Section	9:45 AM	10:00 AM	10:15 AM	10:30 AM	10:45 AM
Data Standards	Time-to-Deterioration for Patients Reported Outcomes		Controlling attributes of .xpt files generated by R
Hands-On Training	Scoring Real-World Data Reliability for Clinical Investigations
Metadata Management	Use Gen AI to program rules in R & Python to generate and validate metadata for data standards and study specifications.
Real World Evidence and Big Data		The Many Ways to Build Cohorts to Effectively Generate Real World Evidence and Bring Drugs to Patients Faster
Statistics and Analytics	Deciphering Exposure-Response Analysis Datasets: A Programmer’s Perspective for Oncology Studies	“Leveraging Python for Statistical Analysis in Public Health: Techniques and Visualizations for Life Sciences Professionals”		Simulating Optimal Sample Sizes for Canine Jaws Using SAS®