Submitted Papers by Section
Note: Papers may move around as the schedule is created.
Intermediate & Advanced Coding (IACS)
| Title | Speaker(s) |
|---|---|
| Take CoMmanD of Your Log: Using CMD to Check Your SAS Program Logs | Richann Watson |
| A Brief Introduction to DS2 | Mark Jordan |
| Closing the Loop: A Portable, Metadata-Driven Framework for Automating EDC Skip Logic Cleaning Across Therapeutic Areas | Chaitanya Popuri |
| DOSEON: Fuzzy Matching DOSE Date Intervals ON Analysis Dates Across SAS (DATA Step, PROC SQL, SAS Macro, and PROC FCMP) | Inka Leprince, Troy Martin Hughes |
| Fantasy in 3 with PROC FCMP: Memoization of Resource-Intensive Calculations, in-Memory Hash Object Storage and Retrieval Operations, and Disk-Based Persistent Data Set Modification and Preservation | Troy Hughes |
| Efficiency Techniques in SAS 9.4 | Stephen Sloan |
| Dealing with Superscripts, Subscripts and Unicode in TFLs | Kalyani Telu |
| Understanding PROC SQL Execution Order and Its Impact on Query Results | Kiran Venna |
| Enhancing Your SAS Viya Workflows with Python: Integrating Python’s Open-Source Libraries with SAS using PROC PYTHON | Ryan Paul Lafler, Miguel Angel Bravo |
| NOBS for Noobs | David Horvath |
| UNIX X Command Tips and Tricks | David Horvath |
| Zero-Friction R for GxP: A Centralized Infrastructure Bridging SAS and R in Clinical Programming | Jaime Yan, George Wu, Jessie Yan |
| Emulating libname ZIP engine for SAS | Bart Jabłoński |
| Informal Introduction to Hash Tables, or How to Get Along with Associative Arrays. | Bart Jabłoński |
| Instrumenting a Hardened SLC Deployment on AWS, and What the Measurements Overturned | Randy Betancourt |
| Using SAS Macro Variable Lists to Create Dynamic Data-Driven Programs | Josh Horstman |
| Template-Driven Automation of aCRF Bookmarks and Table of Contents: A Low-Cost Alternative to Commercial Tools | amar nath, Thanga Raj |
| Automating aCRF PDF Page Number Population in SDTM Specifications Using SAS | Zemin Zeng |
| Methods and Tools for Publishing at SESUG and Beyond-Advanced Techniques | Jonathan Duggins |
| RegEx Reloaded: Advanced Pattern Matching Strategies for SAS Data Quality and Automation | Pratap Kunwar |
| Writing SAS Code That Writes SAS Code: Dynamic Programming with the SAS Macro Language | Pratap Kunwar |
| The SAS Hash Object Beyond The Docs as Experimental Science | Paul Dorfman |
| One-Click Study Navigation: Building a Clinical Programming Portal Using Base SAS | Pratap Kunwar |
Visualization & Reporting (VR)
| Title | Speaker(s) |
|---|---|
| A Map to Success with Data Visualization Using ODS Statistical Graphics | Richann Watson, Louise Hadden |
| The Battle of the Titans (Part II): PROC REPORT versus PROC TABULATE` | Kirk Paul Lafler, Joshua Horstman |
| Ten Practical Rules for Creating Effective Charts, Figures, and Visuals Using SAS | Kirk Paul Lafler |
| Putting Data on the Map: Geospatial Storytelling with SAS Visual Analytics | Greg Treiman |
| From Word Clouds to Phrase Clouds to Amaze Clouds: A Data-Driven Python Programming Solution to Building Configurable Taxonomies That Standardize, Categorize, and Visualize Phrase Frequency | Troy Hughes |
| Wizardry 101: Using a little GTL charm on your SAS graphs | Dane Korver |
| Binary Isn’t Enough: Making Sense of Co-Occurring COVID-19 Severity Outcomes Using Interpretable Multi-Label and Multi-Class Learning | Debarshi Datta, Subhosit Ray |
| Streamlining Course Evaluation Reporting for Faculty Review Using PROC REPORT, ODS, and File Manipulation | Karma Brainard, Abbas Tavakoli |
| Viewing and Editing SAS Data in SAS Visual Analytics and SAS Data and AI Studio | Scott Leslie |
| X Marks the Spot: Mapping Spatial Data with SAS Code | Greg Treiman |
| One Code, Two Modes: A Convention-Driven R Reporting System for Submission-Ready Clinical TLFs | Jaime Yan, George Wu, Jessie Yan |
| Enhancing Clinical Trial Efficiency Through Statistical Programming Support | amar nath, Ananatha Jyothi |
| Creating and Customizing High-Impact Excel Workbooks from SAS with ODS EXCEL | Josh Horstman |
| From SAS to R: Five Essential Clinical Graphics Every SAS Programmer Should Know | George (Zuojun) Wu |
| Working in SGPLOT: Understanding the General Logic of Attributes | Jonathan Duggins |
| TARDIS: Tracking Alterations and Record Differences in SAS, a Macro to Add Color to Your Dataset Com | Inka Leprince |
Hands-On-Workshops (Bring your own device)
| Title | Speaker(s) |
|---|---|
| Hands-On Reporting in R with the *reporter* Package | David Bosak |
| Coding for Cleanliness in SAS Viya - Practical Data Quality for SAS Programmers | Mark Jordan |
| SAS Macro Debugging Techniques for Mere Mortals | Kirk Paul Lafler |
| Le petit SAS package - a workshop about the "Hello World" SAS package. | Bart Jabłoński |
| Getting Started with R Clinical Programming | Brian Varney |
| SAS Visual Analytics, Part 1: Getting Started with Data, Exploration, and Core Visualizations | Jim Blum |
| SAS Visual Analytics, Part 2: Building Interactive Dashboards and Polished Reports | Jim Blum |
Data Collection, Management, & Manipulation (DCMM)
| Title | Speaker(s) |
|---|---|
| Beyond Macro - Data-Driven Programming with CAS in SAS Viya | Mark Jordan |
| Working with Database Data in SAS Viya | Mark Jordan |
| Primary Drivers of FDA Complete Response Letters: Insights from a SAS-Based Analysis | Hannah Weber |
| An Integrated SAS Framework for RECIST Review of Investigator and Independent Central Review Assessments | Phillip Chen |
| More Than a Programmer: Leveraging Statistical Acumen to Drive TLF Mock Shell Design | venkata surya aparna damaraju |
| A Domain-Specific Computer Language for Market Monitoring: From Domain Logic to SAS Code | Eric Grasby |
| The Art of Balance in SAS Data Integration Studio: When to Use Transformations, When to Write Code, and When to Combine Both | Osmel Brito, Angye Rivero |
| Building Better Data Science Workflows: Best Practices with Git, GitHub, Data Version Control (DVC), and MLflow for Open-Source Collaboration | Ryan Paul Lafler |
| Do We Really Need Flat Files? Re-thinking Cloud Data Integration with SAS and Direct Warehouse Loading | Osmel Brito |
| The Analysts Guide to Efficient Theme Park Tourism | Desyne Martinez |
| NBA Betting: Are the Best Performing NBA Teams Actually Bad Bets? | Keira Yurashek, Gaspar Tsai |
| FACIT-Fatigue Questionnaire Dataset Design and Endpoint Analysis in Clinical Trials | Ye Di |
| A Deterministic, Multi-Phase Control Framework for Automated Model Execution and Continuous Auditability in Regulated Banking | Kamala Bharathi Madavarapu |
| Beyond IF THEN ELSE: Techniques for Conditional Execution of SAS Code | Josh Horstman |
| From Annotated CRFs to Define Specifications: A SAS Macro Automation Framework | Bharath Pappula |
| Challenges and Opportunities in Creating Modeling-Ready Drug and Device Safety Data from Public Regulatory Sources | Shelly Hunt |
| From One-Time Standardization to Automated ETL: A Metadata-Driven Approach in SAS | Divya Gadde |
| Automated inventory reorder and sales transparency system for small retailers using deep learning. | Rashad Jafarov |
Statistics, Modeling, & Analytics (SMA)
| Title | Speaker(s) |
|---|---|
| NBA Betting: Are the Best Performing NBA Teams Actually Bad Bets? | Gaspar Tsai, Keira Yurashek |
| Network Analysis and ensemble of Autotuned Machine Learning Models to Predict Virus Spread over Time | Carlos Pinheiro |
| Network Analysis and Machine Learning Algorithms to Boost Fraud Detection in Credit Card Transactions | Carlos Pinheiro |
| Uncovering Market Inefficiencies in New York City Apartment Pricing: A Geospatial and Demographic Modeling Approach | Hadley Dowers, Nick Rejda |
| Forecasting Housing Supply Volatility: A Multivariate SARIMAX Approach Evaluating Economic Shocks. | Matilda Kumi, Dr. Mostafa Zahed |
| From Confusion to Clarity: A Programmer's Journey to Deriving Post-Treatment Adverse Events in Modern Oncology Trials | Avi Tomar |
| Building an In-House Macro Library for C-QTc Analysis | Huei-Ling Chen |
| Which Events Matter Most? A Longitudinal Correlation Analysis of Elite Decathlon Performance (1984–2025) | Abdelmonaem Jornaz |
| PROC PPF: Past, Present, and Future | Danny Modlin |
| Taking Back Control with the Interactive Modeling Node in SAS Visual Forecasting | Danny Modlin |
| Bayesian Scoring Using PROCs MCMC and IML | Danny Modlin |
| Easily Turn Your Automated Explanation into a Predictive Model | Danny Modlin |
| The GENMOD Toolkit: What do you do when things aren’t Normal? | Danny Modlin |
| Applying Propensity Score Matching to Evaluate Interventions | Faruk Muritala |
| Box Office Success Predictor Tool | Benjamin Hennel |
AI & Emerging Technologies (AIET)
| Title | Speaker(s) |
|---|---|
| Tips and Considerations for Preparing Health Data containing PHI/PII for Efficient and Accurate AI and LLM Modelling | Louise Hadden |
| Leveraging AI: A Developer’s Roadmap | Kirk Paul Lafler, Ryan Lafler |
| Decoding Algorithmic Success: A Predictive and Inferential Analysis of Engagement Drivers for AI-Generated Music on YouTube | Patrick Pashna, Hunter Willard |
| Mitigating Model Exploitability with Explainable AI: Using SHAP, LIME, GINI, and Permutation Importance | Debarshi Datta, Subhosit Ray |
| AI as Your QC Partner: Practical Tips for a Copy-and-Consult Workflow in Clinical Programming | Srivathsa Ravikiran |
| A Practical Roadmap for the 2026 Enterprise Generative AI Stack: AI Agent Architectures, Frameworks, and Secure Deployment | Ryan Paul Lafler |
| Charting Your AI Journey: A Practical Roadmap from Machine Learning Foundations to Generative and Agentic AI | Ryan Paul Lafler |
| A Code Review Framework for AI-Generated SAS Utility Macros | Nikita Hsiao, Zhengyang Shi |
| A Structured Agent-Based Framework for Early-Stage Data Science Pipelines | Siddharth Birajdar, Dheerusha Tiwari |
| Reviving Institutional Knowledge: Using Large Language Models (LLMs) to Generate Documentation for Legacy SAS Production Code | Patrick Long |
| Introduction to Posit Assistant and Positron IDE | Brian Varney |
| Getting Started with SAS Viya Workbench: SAS, Python, and R in One Analytics Environment | Jim Blum |
| A Structured Agent-Based Framework for Early-Stage Data Science Pipelines | Dheerusha Tiwari |
Foundation Coding Skills (FCS)
| Title | Speaker(s) |
|---|---|
| Efficient Data Management in SAS: Using Macro Statements and DO Loops to Combine and Merge Datasets | Abbas Tavakoli |
| Building SAS Viya Jobs | Greg Treiman |
| Scaling SDTM Subsetting: A Simple Program-Based Reusable Template Framework for Compliant, Consistent, and Efficient Delivery | Hong Qi |
| Merge with Caution: How to Avoid Common Problems when Combining SAS Datasets | Josh Horstman |
| Understanding SAS DATA Step Compilation, Execution, and _n_ Using Examples | Kiran Venna |
| Under the Hood: The Mechanics of SQL Query Optimization Techniques | Kirk Paul Lafler |
| Automating Git Workflows in SAS with Git Functions | Lleyton seymour |
| From SAS to R and Back Again: Getting Started with PROC R | Lleyton seymour |
| Creating Designer Reports and Data Sets with SAS ODS Output Objects | Louise Hadden |
| OOTB (Out of the Box) Data Visualizations with SAS: An Introduction to what the ODS Graphics Statement Can Do for You | Louise Hadden |
| Creating CONSORT Diagrams in R vs. SAS: A More Efficient Approach | sumalatha vaddepalli, Anil Kumar Yelike |
| Bridging the Gap: Converting a Protocol-Level Analysis Program into a TA Template | Xiao Xiao |
Careers, Training, and Education (CTE)
| Title | Speaker(s) |
|---|---|
| Network Analysis and Network Optimization | Carlos Pinheiro |
| The Business Value of Diversity Combined with Data Science | Stephen Sloan |
| Leveraging SAS to Automatically Assist with Code Reviews: An Academic Application | Rachel Winpisinger, Jonathan Duggins |
| So You Want to Be An Independent Consultant? - 2026 Edition | Josh Horstman |
| Methods and Tools for Publishing at SESUG and Beyond -- Basic Techniques | Jonathan Duggins |
| Custom Steps in SAS: A Gateway for Learning Macro Programming | Jim Blum |