Hebron, KY
October 5-7, 2025
AI and Emerging Technology
AE-006. Code Smarter, Not Harder: The 5 C's of ChatGPT for the SASsy ProfessionalKirk Paul Lafler, SasNerd
Charu Shankar, SAS Institute
AE-007. Benefits, Challenges, and Opportunities with Open Source Technologies in the 21st Century
Kirk Paul Lafler, SasNerd
Ryan Paul Lafler, Premier Analytics Consulting, LLC
Joshua Cook, University of West Florida (UWF)
AE-013. The Dependency Whisperer: AI That Sees What You Might Miss
Ming Yan, Eli Lilly
Xingxing Wu, Eli Lilly
Vina Ro, Eli Lilly
AE-041. Predicting Farm Equipment Purchases and Trades
Koren Roland, Kansas State University
AE-061. Leveraging Self-supervised Learning to Synthesize Data
Urvi Mehta, University of Michigan
AE-062. SAS Trustworthy AI Examples
Caleb Petterson, University of Minnesota Twin Cities
AE-064. Responsible use of AI Systems
Jim Box, SAS Institute
AE-076. Charting Your AI Journey: A Roadmap for Supervised, Unsupervised, and Generative Learning through Machine Learning and Deep Learning
(No paper available)
Ryan Paul Lafler, Premier Analytics Consulting, LLC
Miguel Bravo Martinez Del Valle, Premier Analytics LLC
AE-078. Enhancing Your SAS Viya Workflows with Python: Integrating Python's Open-Source Libraries with SAS using PROC PYTHON
(No paper available)
Ryan Paul Lafler, Premier Analytics Consulting, LLC
Miguel Bravo Martinez Del Valle, Premier Analytics LLC
AE-082. Prompt, Program, Submit: Generative AI for Faster SDTM, ADaM, and TLFs
Matt Becker, SAS
Pankaj Attri, SAS
Analysis & Advanced Analytics
AL-015. Conducting Survival Analysis in SAS using Medicare Claims as a Real-world data sourceJayanth Iyengar, Data Systems Consultants LLC
AL-031. Logistic Regression Odyssey on a Small Sample Due to Rare Cancer
Brandy Sinco, University of Michigan
Jessie Dalman, University of Michigan
Tasha Hughes Md, University of Michigan
AL-037. GIS Challenges of Cataloging Catastrophes: Serving up GeoWaffles with a Side of Hash Tables to Conquer Big Data Point-in-Polygon Determination
Troy Hughes, Data Llama Analytics
AL-052. Feature Selection and Classification Using Fuzzy Logic
Ross Bettinger, Consultant
AL-056. PROC BGLIMM: The Smooth Transition to Bayesian Analysis
Danny Modlin, SAS
AL-057. How to Modify SAS9 Statistics Programs to Run in SAS Viya
Danny Modlin, SAS
AL-058. Large-Scale Time Series Forecasting in Model Studio
Danny Modlin, SAS
AL-059. Kernel Bandwidth Selection for Maximum Mean Discrepancy
Hangcen Zou, Washington University in St. Louis
AL-079. Modern Deep Learning Architectures and Transfer Learning for Tabular, Unstructured, Sequential, and Time-Dependent Data
(No paper available)
Ryan Paul Lafler, Premier Analytics Consulting, LLC
Anything Data
AD-004. Data Literacy 101: Understanding Data and the Extraction of InsightsKirk Paul Lafler, SasNerd
AD-019. SAS Macro Using Hash Object for Lookup
(No paper available)
Ricky Norman, Self-Employed
AD-020. SAS Macro Using Hash Objects for Summarization
(No paper available)
Ricky Norman, Self-Employed
AD-021. SAS Hash Objects Flattening a Company's Employee Reporting Structure
(No paper available)
Ricky Norman, Self-Employed
AD-026. Building Better Data Science Workflows: Core Practices with Git, GitHub, and Data Version Control (DVC) for Effective Collaboration
(No paper available)
Ryan Paul Lafler, Premier Analytics Consulting, LLC
Miguel Bravo Martinez Del Valle, Premier Analytics LLC
AD-027. Making a Readable PROC COMPARE Report in Excel
Jane Eslinger, Eslinger Enterprises
AD-028. Highlighting the Differences: PROC COMPARE in Excel
Jane Eslinger, Eslinger Enterprises
AD-035. Make You Holla' Tikka Masala: Creating User-Defined Informats Using the PROC FORMAT OTHER Option To Call User-Defined FCMP Functions That
Troy Hughes, Data Llama Analytics
AD-047. Automated double data entry comparisons
Melinda Macdougall, Cincinnati Children's Hospital Medical Center
AD-071. Dating for SAS Programmers
Josh Horstman, PharmaStat LLC
AD-072. So You Want To Be An Independent Consultant: 2025 Edition
Josh Horstman, PharmaStat LLC
AD-077. A Python Roadmap for Accessing & Leveraging Big Environmental Data Repositories in the Cloud
(No paper available)
Ryan Paul Lafler, Premier Analytics Consulting, LLC
AD-080. PROC COMPARE: More Than Just the Bottom Line
(No paper available)
Josh Horstman, PharmaStat LLC
John LaBore, SAS Institute
AD-085. Multivariate Ratio Edits Based on Parametric and Nonparametric Tolerance Intervals
Daniel Tuyisenge, University of Kentucky
Derek Young, University of Kentucky
Thomas Mathew, University of Maryland
Banking and Finance
BF-089. Pairwise Time Series Transformations: Copula Models, Mean-Reversion Metrics, and Future Directions in Paris Trade(No paper available)
Leandro Ajo, University of Louisville
BF-092. Handle Big Data with SAS DS2
(No paper available)
Charu Shankar, SAS Institute
BF-093. OOP, Here We Go with DS2
(No paper available)
Charu Shankar, SAS Institute
Beyond the Basics
BB-002. SAS Macro Programming: The Basics and BeyondKirk Paul Lafler, SasNerd
BB-003. Under the Hood: The Mechanics of SQL Query Optimization Techniques
Kirk Paul Lafler, SasNerd
BB-008. Creating Custom Excel Spreadsheets with Built-in Autofilters Using PROC REPORT and ODS EXCEL
Kirk Paul Lafler, SasNerd
BB-009. You've Got Options: Ten Five-Star System Option Hacks
Louise Hadden, Cormac Corporation
BB-016. Validate the Code, not just the Data : A System for SAS program evaluation
Jayanth Iyengar, Data Systems Consultants LLC
BB-023. From %let To %local; Methods, Use, And Scope Of Macro Variables In SAS Programming
Jayanth Iyengar, Data Systems Consultants LLC
BB-024. Taking the Mystery Out of and Debugging PROC HTTP
(No paper available)
Kim Wilson, SAS
BB-038. Undo SAS Fetters with Getters and Setters: Supplanting Macro Variables with More Flexible, Robust PROC FCMP User-Defined Functions That Perform
Troy Hughes, Data Llama Analytics
BB-039. SAS Data-Driven Software Design: How to Develop More Modular, Maintainable, Fixable, Flexible, Configurable, Compatible, Reusable, Readable Software through Independent Control
Troy Hughes, Data Llama Analytics
BB-042. Going from PROC SQL to PROC FedSQL for CAS Processing: Common mistakes to avoid
Vijayasarathy Govindarajan, SAS Institute
BB-043. Accelerating Your SAS Data Step: Tips and Best Practices for SAS Viya Migration
Vijayasarathy Govindarajan, SAS Institute
BB-044. SAS Macros and PROC FCMP: A Comparative Inquiry into Reusability and Logic Design
Vijayasarathy Govindarajan, SAS Institute
BB-049. Use ODS Excel, ODS PDF, ODS HTML5, ODS LAYOUT
LeRoy Bessler, Bessler Consulting and Research
BB-050. Cutting Edge Regression Methods: Ridge, LASSO, LOESS, and GAM
David Corliss, Peace-Work
BB-063. What is Machine Learning, Anyway
Jim Box, SAS Institute
BB-065. Enhance your Coding Experience with the SAS Extension for VS Code
Jim Box, SAS Institute
BB-066. How did that Python code get in my SAS program?
Jim Box, SAS Institute
BB-067. From Muggles to Macros: Transfiguring Your SAS Programs with Dynamic, Data-Driven Wizardry
Josh Horstman, PharmaStat LLC
Richann Watson, DataRich Consulting
BB-068. More Muggles, More Macros: Adding Advanced Data-Driven Wizardry to Your SAS Programs
Josh Horstman, PharmaStat LLC
Richann Watson, DataRich Consulting
BB-070. Fifteen Functions to Supercharge Your SAS Code
Josh Horstman, PharmaStat LLC
BB-073. Enhancing Your PROC REPORT Output: Top Tips
(No paper available)
Brian Knepple, J & J MedTech
BB-074. Leveraging SQL and SAS for Analysis-Ready Datasets
Shavonne Standifer, Statistical Business Analyst
BB-075. Automate in a Dash with SAS Time-Saving Techniques for Building Quality Improvement Dashboards
Shavonne Standifer, Statistical Business Analyst
Pharma and Life Sciences
PL-014. Applications of PROC COMPARE to Parallel Programming and other projectsJayanth Iyengar, Data Systems Consultants LLC
PL-017. Have a Date with ISO ? Using PROC FCMP to Convert Dates to ISO 8601
Richann Watson, DataRich Consulting
PL-018. Worried about that Second Date with ISO ? Using PROC FCMP to Convert and Impute ISO 8601 Dates to Numeric Dates
Richann Watson, DataRich Consulting
PL-022. Mind the Gaps: Automating Multiple Imputation in Clinical Trial Workflows
Crisa Chen, Eli Lilly and Company
Jiangang Cai, Eli Lilly and Company
PL-032. Last Observation Carried Forward (LOCF) in Longitudinal Clinical Studies: Adopting a Functional Approach to Imputing Missing Values Using PROC FCMP
Troy Hughes, Data Llama Analytics
PL-033. Geocoding with the Google Maps API: Using PROC FCMP To Call User-Defined SAS and Python Functions That Geocode Coordinates into
Troy Hughes, Data Llama Analytics
PL-046. COVID-19 Explored Using SAS and ODS Graphics: InfoGeographic and Data Graphic Analysis & Pictures
LeRoy Bessler, Bessler Consulting and Research
PL-069. Jazz Up Your Profile: Perfect Patient Profiles in SAS using ODS Statistical Graphics
(No paper available)
Josh Horstman, PharmaStat LLC
Richann Watson, DataRich Consulting
PL-081. Advancing Research in Rare Disease Using SAS Viya
Kelly Olano, Cincinnati Children's Hospital Medical Center
Pierce Kuhnell, Cincinnati Children's Hospital Medical Center
Laurie Smith, Cincinnati Children's Hospital Medical Center
PL-088. An analysis of Emergency Department Visits for the 10 Health Division Regions across the US during the period 2018 2025
Baoyuan Zhou, University of Illinois Urbana-Champaign
Posters
PO-011. ExCITE-ing! Build Your Paper's Reference Section Programmatically Using Lex Jansen's Website and SASLouise Hadden, Cormac Corporation
PO-012. The World is Not Enough: Base SAS Visualizations and Geolocations
Louise Hadden, Cormac Corporation
PO-036. Bring That Big Data Energy! A 49-Year Longitudinal Analysis of 31,316 Presentations at 237 SAS User Conferences Held Between
(No paper available)
Troy Hughes, Data Llama Analytics
PO-060. Predicting Algerian Forest Fires Using KNN and SVM Models
(No paper available)
Jimin Lee, Washington University in St. Louis
PO-086. SAS Viya Voyage - Onboarding, Learning, and Thriving in the Cloud
Connor Ayscue, SAS
PO-094. Bridging the Divide An Analysis of Preventative Care Disparities Across Education Levels
(No paper available)
Aeshani Kumar, Wright State University
PO-095. Analyzing Hospital Readmissions Using SAS
(No paper available)
Sricharitha Andra, Wright State University
PO-096. Understanding the online shopper's purchasing pattern through machine learning in SAS
Dravin Poudyal, Wright State University
Ruchi Karki, Wright State University
PO-097. Cart Abandonment Analysis: A Data-Driven Approach to Reducing Online Shopping Drop-offs
(No paper available)
Utsaha Thapa, Wright State University
Aarjan Pokharel, Wright State University
PO-098. Agentic AI Using SAS
(No paper available)
Valerie Emuobonuvie, Wright State University
Visualization and Reporting
VR-005. Dashboards Made Easy Using SAS SoftwareKirk Paul Lafler, SasNerd
VR-010. The (ODS) Output of Your Desires: Creating Designer Reports and Data Sets
Louise Hadden, Cormac Corporation
VR-034. From Word Clouds to Phrase Clouds to Amaze Clouds: A Data-Driven Python Programming Solution To Building Configurable Taxonomies That Standardize
Troy Hughes, Data Llama Analytics
VR-045. Maps, maps, and more maps using SAS PROC SGMAP!
Melinda Macdougall, Cincinnati Children's Hospital Medical Center
VR-048. Wise Graphic Design & Color Use for Data Graphics Easily, Quickly, Correctly Understood
LeRoy Bessler, Bessler Consulting and Research
VR-084. Progressively Building a Dynamic Report
Justin Bates, Cincinnati Children's Hospital