| PharmaSUG |
2026 |
SAS Programming techniques for efficiency and code optimization |
Jayanth Iyengar |
source |
27 |
| PHUSE US |
2026 |
AI-Driven Quality Risk Management for Contract Manufacturing Oversight: An ML Approach |
Kiran Kumar Gande |
source
presentation source |
7 |
| PHUSE US |
2026 |
Performance-Driven Risk Oversight for AI Agents in Clinical Research |
Laxmiraju Kandikatla |
source
presentation source |
10 |
| PHUSE US |
2026 |
Problem-First Agentic AI: Transforming Statistical Computing with Purposeful Automation |
Rajesh Hagalwadi |
source
presentation source |
8 |
| PHUSE US |
2026 |
Validation Strategies for Agentic AI Platforms in GxP-Regulated Clinical Data Environments |
Rajesh Hagalwadi |
source
presentation source |
9 |
| PHUSE APAC |
2026 |
From Data to Digital Phenotypes: Modelling High-Dimensional PROs and Actigraphy Data in Decentralized Psychiatric Trials |
Sakshi Kaushik |
source
presentation source |
14 |
| PHUSE EU |
2025 |
Statistical Endpoints and Analysis in Diagnostic Imaging: The Matrix Has You and Your Data |
Srinivas Lanka,
James Sykes |
source
presentation source |
17 |
| PHUSE EU |
2025 |
The Human Element: Synergising Emotional and Physical Intelligence in Statistical Programming Leadership |
Harris Kampouris,
Lino Jardim |
source
presentation source |
12 |
| MWSUG |
2025 |
Dashboards Made Easy Using SAS Software |
Kirk Paul Lafler |
source |
42 |
| MWSUG |
2025 |
Feature Selection and Classification Using Fuzzy Logic |
Ross Bettinger |
source |
39 |
| MWSUG |
2025 |
Validate the Code, not just the Data : A System for SAS program evaluation |
Jayanth Iyengar |
source |
38 |
| SESUG |
2025 |
Dashboards Made Easy Using SAS Software |
Kirk Paul Lafler |
|
42 |
| WUSS |
2025 |
Validate the Code, not just the Data : A System for SAS program validation |
Jayanth Iyengar |
source |
38 |
| PharmaSUG |
2025 |
Validate the Code, not just the Data : A System for SAS program validation |
Jayanth Iyengar |
source |
38 |
| PHUSE US |
2025 |
From Manual to Machine: Leveraging Best-of-Breed Approaches in Clinical Data Management |
Joseph Lebers |
source
presentation source |
10 |
| PHUSE US |
2025 |
Learning to skate, pedal, and drive - Change leadership in the world of Agile delivery |
Eileen Ching |
source
presentation source |
9 |
| PHUSE US |
2025 |
Optimising Collaboration and Quality Control in Outsourced Statistical Programming |
Mukesh Patel,
Nilesh Patel |
source
presentation source |
7 |
| MWSUG |
2024 |
Best Practices for Efficiency and Code Optimization in SAS programming |
Jayanth Iyengar |
source |
20 |
| MWSUG |
2024 |
Dashboards Made Easy Using SAS Software |
Kirk Paul Lafler |
source |
42 |
| PHUSE EU |
2024 |
Exploring Microsoft Power Apps for creating an analysis definition capture tool |
Quincy Kaka |
source
presentation source |
4 |
| PHUSE EU |
2024 |
Where Does Your SCE Fit in Your Data Strategy? |
Phil Loucks |
source
presentation source |
7 |
| SESUG |
2024 |
Building Amazing Dashboards Using SAS Software |
Kirk Paul Lafler,
Joshua J. Cook |
source |
42 |
| PHUSE US |
2024 |
Mastering the Art of Adaptation: Innovative Strategies for Effective Change Management |
Mark Bynens |
source
presentation source |
13 |
| PHUSE EU |
2023 |
Mastering the Art of Adaptation: Innovative Strategies for Effective Change Management |
Mark Bynens |
source
presentation source |
13 |
| WUSS |
2023 |
Leveraging Logistic Regression and Bootstrap Sampling to Assess a Decision Threshold in Classification Predictive Analytics |
Colleen E. McGahan |
source |
15 |
| SESUG |
2023 |
Best Practices for Efficiency and Code Optimization in SAS programming |
Jayanth Iyengar |
source |
20 |
| PharmaSUG |
2023 |
Best Practices for Efficiency and Code Optimization in SAS programming |
Jayanth Iyengar |
source |
20 |
| PHUSE US |
2023 |
proc transpose data= Professional out= Leader; |
Pratibha Jalui |
source
presentation source |
3 |
| WUSS |
2022 |
Best Practices for Efficiency and Code Optimization in SAS programming |
Jayanth Iyengar |
source |
21 |
| PharmaSUG |
2022 |
Simple and Efficient Bootstrap Validation of Predictive Models Using SAS/STAT Software |
Matthew T. Slaughter,
Isaiah Lankham |
source |
22 |
| PHUSE EU |
2021 |
The ABC of Managing a Standards Macro Library |
Amit Bhaniani,
Carl Herremans |
source
video
presentation source |
9 |
| PHUSE US |
2021 |
Software Demonstration: SD11: Streamline Your Quantitative Anonymization Process and Deliver Consistent Outputs for Every Disclosure Scenario [presentation] |
Stephen Doogan |
source |
8 |
| PharmaSUG |
2021 |
Better to Be Mocked Than Half-Cocked: Data Mocking Methods to Support Functional and Performance Testing of SAS Software |
Troy Martin Hughes |
source |
17 |
| PharmaSUG |
2021 |
How simulation will impact the future of Healthcare & Life Sciences. |
Pritesh Desai,
Allison Sealy,
Shawn Tedman,
Lois Wright,
Bahar Biller |
source |
14 |
| SGF |
2021 |
A Framework for Simple and Efficient Bootstrap Validation in SAS, with Examples |
Isaiah Lankham,
Matthew T. Slaughter |
source |
22 |
| PHUSE EU |
2020 |
Utilising Automation for Mass Model Creation to Improve the Economics of Machine Learning Projects [presentation] |
Alex Tsui |
source
video |
18 |
| SGF |
2020 |
Simple and Efficient Bootstrap Validation of Predictive Models Using SAS/STAT Software |
Isaiah Lankham,
Matthew T. Slaughter |
source
github |
15 |
| PharmaSUG |
2020 |
Better to Be Mocked Than Half-Cocked: Data Mocking Methods to Support Functional and Performance Testing of SAS Software |
Troy Martin Hughes |
source |
17 |
| SESUG |
2019 |
Better to Be Mocked Than Half-Cocked: Data Mocking Methods to Support Functional and Performance Testing of SAS Software |
Troy Martin Hughes |
source |
17 |
| SESUG |
2019 |
Hybrid Rare Event Sampling Technique |
Ross Bettinger |
source |
15 |
| SESUG |
2019 |
Validating Classification and Recidivism in Corrections Through Outcome Analytics |
Alan R. Mann |
source |
34 |
| MWSUG |
2019 |
From FREQing Slow to FREQing Fast: Facilitating a Four-Times-Faster FREQ with Divide-and-Conquer Parallel Processing |
Troy Martin Hughes |
|
22 |
| WUSS |
2019 |
Better to Be Mocked Than Half-Cocked: Data Mocking Methods to Support Functional and Performance Testing of SAS Software |
Troy Martin Hughes |
source |
17 |
| PharmaSUG |
2019 |
Ushering SAS Emergency Medicine into the 21st Century: Toward Exception Handling Objectives, Actions, Outcomes, and Comms |
Troy Martin Hughes |
source |
24 |
| SGF |
2019 |
Measuring Model Stability |
Daymond Ling |
source |
15 |
| SGF |
2019 |
Monitoring the Relevance of Predictors for a Model Over Time |
Ming-Long Lam |
source |
16 |
| SGF |
2019 |
Solving SAS Performance Problems: Our Methodology |
Jim Kuell |
source |
8 |
| SGF |
2019 |
The Anatomy of an Artificial Intelligence Solution for Automation of Underwriting Decision-Making |
Tanya Kolosova |
source |
17 |
| SCSUG |
2018 |
NBA Draft Analytics: Boom or Bust? |
Isaiah Hartman |
source |
17 |
| WUSS |
2018 |
From FREQing Slow to FREQing Fast: Facilitating a Four-Times-Faster FREQ with Divide-and-Conquer Parallel Processing |
Troy Martin Hughes |
source |
22 |
| WUSS |
2018 |
The Anatomy of Artificial Intelligence Solution for Automation of Underwriting Decision-Making Process. |
Samuel Berestizhevsky,
Tanya Kolosova |
source |
16 |
| PHUSE US |
2018 |
FDA Experience with Emerging Genomics Technologies [presentation] |
Weida Tong |
source |
16 |
| PharmaSUG |
2018 |
From FREQing Slow to FREQing Fast: Facilitating a Four-Times-Faster FREQ with Divide-and-Conquer Parallel Processing |
Troy Martin Hughes |
source |
23 |
| PharmaSUG |
2018 |
Pinching Off Your SAS Log: Adapting from Loquacious to Laconic Logs To Facilitate Near-Real Time Log Parsing, Performance Analysis, and Dynamic Data-Driven Design and Optimization |
Troy Martin Hughes |
source |
26 |
| SGF |
2018 |
Looking Beyond the Model with SAS Simulation Studio: Data Input, Collection, and Analysis |
Edward P. Hughes,
Emily Lada |
source |
20 |
| SGF |
2018 |
Optimizing Inventory of Slow-Moving Products Using SAS Optimization |
Malleswara Sastry Kanduri,
Amy Mcarthur |
source |
8 |
| SESUG |
2017 |
From FREQing Slow to FREQing Fast: Facilitating a Four-Times-Faster FREQ with Divide-and-Conquer Parallel Processing |
Troy Martin Hughes |
source |
22 |
| SESUG |
2017 |
Pinching Off Your SAS Log: Adapting from Loquacious to Laconic Logs To Facilitate Near-Real Time Log Parsing, Performance Analysis, and Dynamic Data-Driven Design and Optimization |
Troy Martin Hughes |
source |
25 |
| PHUSE EU |
2017 |
Efficiency Ratios as a Method of Determining Statistical Computing Environment Effectiveness |
Andy Richardson |
source
presentation source |
6 |
| WUSS |
2017 |
Pinching Off Your SAS Log: Shifting the Perception of "SAS Logs" from a Post Hoc Validation Used Haplessly and Often Too Late...to a Dynamic Quality Control That Drives Exception Handling and Program Flow |
Troy Martin Hughes |
source |
26 |
| SGF |
2017 |
Advanced, Dynamic, and Effective Dashboarding with SAS Visual Analytics |
Abhilasha Tiwari |
source |
11 |
| SGF |
2017 |
Examining Higher Education Performance Metrics with SAS Enterprise Miner and SAS Visual Analytics |
Taylor Blaetz,
Tuesdi Helbig,
Gina Huff,
Matt T. Bogard |
source |
15 |
| SGF |
2017 |
Predictive Accuracy: A Misleading Performance Measure for Highly Imbalanced Data |
Josephine Akosa |
source |
12 |
| SGF |
2017 |
Using SAS Viya Microservices Logging for Performance Analysis of SAS Visual Analytics 8.1 Reports |
Scott C. Sweetland |
source |
9 |
| SESUG |
2016 |
A Waze App for Base SAS: Automatically Routing Around Locked Data Sets, Bottleneck Processes, and Other Traffic Congestion on the Data Superhighway |
Troy Martin Hughes |
source |
16 |
| SESUG |
2016 |
Sorting a Bajillion Records: Conquering Scalability in a Big Data World |
Troy Martin Hughes |
source |
29 |
| MWSUG |
2016 |
Sorting a Bajillion Records: Conquering Scalability in a Big Data World |
Troy Martin Hughes |
|
29 |
| WUSS |
2016 |
A Waze App for Base SAS: Automatically Routing Around Locked Data Sets, Bottleneck Processes, and Other Traffic Congestion on the Data Superhighway |
Troy Martin Hughes |
source |
16 |
| WUSS |
2016 |
Simulating Queuing Models in SAS |
Danny Rithy |
source |
14 |
| WUSS |
2016 |
Sorting a Bajillion Records: Conquering Scalability in a Big Data World |
Troy Martin Hughes |
source |
29 |
| WUSS |
2016 |
Ushering SAS Emergency Medicine into the 21st Century: Toward Exception Handling Objectives, Actions, Outcomes, and Comms |
Troy Martin Hughes |
source |
23 |
| SGF |
2016 |
Optimal Advertisement Traffic Allocation |
Huma Zaidi,
Chitta Ranjan |
source |
15 |
| SGF |
2016 |
Size Optimization Made Simple: Creating Omni-Channel and Supply Chain Efficiencies to Increase Consumer Satisfaction and Revenue |
Donna McGuckin |
source |
11 |
| SGF |
2016 |
Sorting a Bajillion Records: Conquering Scalability in a Big Data World |
Troy Martin Hughes |
source
presentation |
29 |
| SGF |
2016 |
Text Analytics and Assessing Patient Satisfaction [presentation] |
Divya Sridhar |
source
presentation |
5 |
| SCSUG |
2015 |
Dynamic Dashboards Using Base-SAS Software |
Kirk Paul Lafler |
source |
12 |
| MWSUG |
2015 |
Dynamic Dashboards Using Base-SAS Software |
Kirk Paul Lafler |
|
12 |
| MWSUG |
2015 |
Ushering SAS Emergency Medicine into the 21st Century: Toward Exception Handling Objectives, Actions, Outcomes, and Comms |
Troy Martin Hughes |
|
23 |
| WUSS |
2015 |
Dynamic Dashboards Using Base-SAS Software |
Kirk Paul Lafler |
source |
12 |
| SGF |
2015 |
Building Credit Modeling Dashboards [presentation] |
Jeremy D'Antoni |
source |
7 |
| SGF |
2015 |
Dynamic Dashboards Using SAS |
Kirk Paul Lafler |
source |
10 |
| SGF |
2015 |
Operations Integration, Audits, and Performance Analysis: Getting the Most Out of SAS Environment Manager |
Bob Bonham,
Bryan Ellington |
source |
16 |
| PHUSE EU |
2014 |
Automated SDTM Creation and Discrepancy Detection Jobs: The Numbers Tell the Tale |
Joris De Bondt |
source
presentation source |
2 |
| SGF |
2014 |
Log Entries, Events, Performance Measures, and SLAs: Understanding and Managing your SAS Deployment by Leveraging the SAS Environment Manager Data Mart |
Bob Bonham,
Gregory A. Smith |
source |
11 |
| SGF |
2014 |
Modeling Loss Given Default in SAS/STAT |
Xiao Yao,
Jonathan Crook,
Galina Andreeva |
source |
9 |
| MWSUG |
2013 |
Logistics Performance Metrics using SAS Macros |
Michael C. Frick |
|
9 |
| MWSUG |
2012 |
Human side of BI implementation |
Arlen Harmoning |
|
7 |
| SGF |
2012 |
Correlating the Analysis of Opinionated Texts Using SAS Text Analytics with Application of Sabermetrics to Cricket Statistics |
Praveen Lakkaraju,
Saratendu Sethi |
source |
10 |
| SGF |
2012 |
Utilize Red Hat Kernel Virtual Machine to Enable Your Development and Test Environment to Peacefully Co-Exist with Your Production Environment |
Bob Augustine,
Barry Marson |
source |
17 |
| SGF |
2011 |
Do Guest Reviews Really Matter? Linking Social Media and Operations Data |
Kelly A. McGuire |
source |
9 |
| SGF |
2011 |
Lead Nurturing Using SAS Customer Intelligence Solutions |
Matt Fulk |
source |
7 |
| NESUG |
2010 |
Clinical Trials Analysis & Reporting Performance Metrics |
Ellen L. Asam,
Donna Usavage |
|
6 |
| MWSUG |
2010 |
Better Decision Making with SAS Enterprise Business Intelligence and Microsoft Outlook |
James Tetterton |
|
7 |
| MWSUG |
2010 |
Visualizing Key Performance Indicators Using the GKPI Procedure |
Brian K. Varney |
|
9 |
| SGF |
2010 |
Staying Highly Available Using SAS Grid Manager: The Performance Manager Application at Commerzbank AG |
Cheryl Doninger,
Jochen Kirsten |
source |
15 |
| SGF |
2010 |
Visualizing Key Performance Indicators Using the GKPI Procedure |
Brian K. Varney |
source |
9 |
| MWSUG |
2009 |
DO's and DON'Ts of Generating Performance Metrics |
Michael C. Frick |
|
7 |
| MWSUG |
2009 |
Visualizing Key Performance Indicators Using the GKPI Procedure |
Brian K. Varney |
|
9 |
| PharmaSUG |
2009 |
Building Your First Dashboard Using the SAS 9 Business Intelligence Platform: A Tutorial |
Gregory S. Barnes Nelson |
|
19 |
| SGF |
2009 |
Building Your First Dashboard Using the SAS 9 Business Intelligence Platform: A Tutorial |
Gregory S. Barnes Nelson |
source |
19 |
| SGF |
2009 |
Mainstreaming Web Data with SAS Web Analytics |
Kimberly R. Weller |
source |
6 |
| SGF |
2009 |
The Many Hats of the SAS Administrator |
Shiva Srinivasan,
Fabian Robinson |
source |
7 |
| SGF |
2008 |
SAS: The Ultimate Dashboard Machine |
Jeff Wright |
source |
11 |
| NESUG |
2007 |
"S.A.S.A.D.M.I.N. ", Superhero Exposed !!! |
Fabian Robinson,
Shiva Srinivasan |
|
7 |
| SGF |
2007 |
SAS Response: FanSAStic! Results: Collaboratively Leading Institutional Effectiveness Efforts in Higher Education Institutions |
Allen Sudar,
Andy Goben |
source |
8 |
| SUGI |
2005 |
Programmatically Measure SAS Application Performance on Any Computer Platform with the New LOGPARSE SAS Macro |
Michael A. Raithel |
source |
14 |
| SEUGI |
2003 |
Marketing Automation 3.1 [presentation] |
Neil Hayward |
source |
62 |
| SEUGI |
2003 |
SAS balanced scorecard solution for strategic performance management [presentation] |
Norbert Weidinger |
source |
18 |
| SEUGI |
2003 |
SAS Manufacturing Intelligence Platform [presentation] |
Alexander Dahne |
source |
28 |
| SEUGI |
2003 |
The HR Solution for a Self Government Institution [presentation] |
Giacomo Lorusso |
source |
16 |
| SEUGI |
2002 |
Customer Intelligence:The cornerstone of an Intelligent Strategy [presentation] |
Shaun Doyle |
source |
24 |
| SEUGI |
2002 |
Realisation of the SAS France Balanced Scorecard [presentation] |
Alexandre Ghilardi |
source |
15 |
| SEUGI |
2001 |
And The CRM myth becomes reality [presentation] |
Christophe Bonnart,
Colpin Philippe |
source |
40 |
| SEUGI |
2001 |
Broadcasting Network WEB site Traffic Analysis [presentation] |
Donatella Gandino |
source |
37 |
| SEUGI |
2001 |
How Strategic Vision Successfully Increases the Quality of a Balanced Scorecard System [presentation] |
Markus Laub |
source |
15 |
| SEUGI |
2001 |
SAS Process Intelligence: Closing the "Knowing-Doing" Gap to Deliver Value Through Process Efficiency, Effectiveness and Adaptability [presentation] |
Ian D. Cox |
source |
38 |
| SUGI |
2001 |
Ensuring SLAs and SLOs - How to Commit Computer Resources to SAS Applications, Jobs and Users |
Udo Schmitt |
source |
4 |
| SEUGI |
2000 |
A (web) page on Service Levels [presentation] |
Fabio Veronese |
source |
28 |
| SEUGI |
2000 |
CUP2Intranet - How to launch a new insurance product into the market with SAS/IntrNet [presentation] |
Gero Niessen,
Torsten Rosenkraenzer |
source |
19 |
| SEUGI |
2000 |
e-Warehousing with SPD Server [presentation] |
Leigh Bates |
source |
31 |
| SEUGI |
2000 |
From the Reporting System to the Web Warehousing: How the BI/DW technology is increasing its importance in a Small/Medium company. The Worldgem Group successfully experience. [presentation] |
Andrea Provini,
Gianni Lorato |
source |
4 |
| SEUGI |
2000 |
Implementing a Balanced Scorecard on top of SAP/RE-FI Using SAS CFO Vision as Interface [presentation] |
Ida R. Carapelle,
Sophie De Baets |
source |
42 |
| SEUGI |
1999 |
Key factors to booast application development productivity - Best practice in an insurance industry [presentation] |
Buch |
source |
33 |
| SEUGI |
1999 |
The SAS System and the ARM API - A practical implementation of the ARM API [presentation] |
Chris Luckman |
source |
40 |
| SEUGI |
1999 |
Total Financial Management Strategies [presentation] |
Peter Bull |
source |
30 |
| SEUGI |
1998 |
Balanced Business Scorecards and Management Reporting: A Case Study of a Pharmaceutical Company |
Oliver Schalch |
source |
5 |
| SEUGI |
1998 |
Enterprise computing with Windows NT and Intel [presentation] |
Mark Friedman |
source |
46 |
| SEUGI |
1995 |
SAS System Performance under UNIX |
Hans-Joachim Kirsten |
source |
10 |
| SUGI |
1992 |
SAS Software - The Power Tool for Information Professionals |
Shane Wood |
source |
5 |
| SUGI |
1985 |
A SAS Procedure for Evaluating the Performance of Token Ring Local Area Networks |
Richard L. Gimarc,
James H. Smith |
source |
8 |
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