| WUSS |
2026 |
SQL Everywhere! Reuse your PROC SQL Code in R and Python with DuckDB |
Matthew T. Slaughter,
Isaiah Lankham,
Kirk Paul Lafler |
source |
19 |
| PHUSE US |
2026 |
Building for the Long Haul: Managing Scope, Refactoring, and CI/CD in Internal R Packages [presentation] |
Blazej (Moni) Neradilek,
Chenchen Yu |
source |
14 |
| PHUSE US |
2026 |
IMAGING DATA ANONYMIZATION (IN CLINICAL RESEARCH) [presentation] |
Mutiullah Qureshi,
Anush Revazyan |
source |
24 |
| PHUSE APAC |
2026 |
CDISC 360i – Lessons Learned and Road Ahead [presentation] |
Peter Van Reusel |
source |
26 |
| PHUSE EU |
2025 |
Unlocking Healthcare Insights: Graph-Based Modelling and Analysis of Synthetic Patient Data |
George Panagiotakis,
Nikolaos Kountouris |
source
presentation source |
18 |
| PharmaSUG |
2025 |
Generating Synthetic Clinical Trial Data with AI: Methods, Challenges, and Insights |
Max Ma,
Weijie Yang,
Emily Ma |
source |
16 |
| MWSUG |
2024 |
Developing Artificial and Convolutional Neural Networks with Python's Keras API for TensorFlow |
Ryan Paul Lafler,
Anna T. K. Wade |
source |
18 |
| PHUSE EU |
2024 |
Introducing Graph Structure in Real-World Data Analyses |
Georgios Panagiotakis,
Maria Puri |
source
poster source |
10 |
| SESUG |
2024 |
Developing Artificial and Convolutional Neural Networks with Python's Keras API for TensorFlow |
Ryan Paul Lafler,
Anna T. K. Wade |
source |
18 |
| WUSS |
2024 |
Developing Artificial and Convolutional Neural Networks with Python's Keras API for TensorFlow |
Ryan Paul Lafler,
Anna T. K. Wade |
source |
18 |
| PharmaSUG CN |
2024 |
Automated PDF Data Extraction Tool - An Interactive Platform with Python Dash |
You (Lea) Lyu |
source |
4 |
| PharmaSUG |
2024 |
Unraveling the Layers within Neural Networks: Designing Artificial and Convolutional Neural Networks for Classification and Regression Using Python-s Keras & TensorFlow |
Ryan Paul Lafler,
Anna T. K. Wade |
source |
18 |
| PHUSE US |
2024 |
Risk-Based Monitoring Using AI/ML Detection of Systematic Bias in Clinical Data |
Kostiantyn Drach,
Sergey Glushakov |
source
presentation source |
12 |
| PHUSE US |
2023 |
Content Authoring Automation for Productivity Gains, Improved Quality and Lesser Submission Delays Using Advanced NLP Techniques |
Kumail Fazal,
Debiprasad Roy |
source
presentation source |
7 |
| PHUSE US |
2022 |
Incorporating Immunogenicity Data from Various Analyzing Labs [presentation] |
Elisabeth van Son-Palmen,
Gunasekaran Subramaniam |
source |
19 |
| PHUSE EU |
2021 |
Using Modular Programming to Create Mean Plots and Adverse Event Frequency Plots [presentation] |
Claus Stenberg |
source
video |
28 |
| PharmaSUG |
2021 |
R & PYTHON FOR DRUG DEVELOPMENT |
Philip Bowsher,
Sean Lopp |
source |
117 |
| SGF |
2021 |
Natural Language Processing: An Introduction |
Colleen M. Farrelly |
source |
4 |
| SGF |
2020 |
Creating Reports that Comply with Section 508 Using SAS 9.4: Planning Is the Most Important Step |
Greg Kraus |
source |
8 |
| PharmaSUG |
2019 |
Why we should learn Python |
Kevin Lee |
source |
11 |
| SGF |
2018 |
How to Load Relational Data into SAS Cloud Analytic Services Using Java |
Salman Maher |
source |
7 |
| PharmaSUG |
2017 |
Developing Your Data Strategy |
Gregory S. Barnes Nelson |
source |
15 |
| SGF |
2017 |
Developing Your Data Strategy |
Gregory S. Barnes Nelson |
source |
15 |
| WUSS |
2016 |
SAS integration with NoSQL database |
Kevin Lee |
source |
9 |
| PharmaSUG |
2016 |
SAS integration with NoSQL data |
Kevin Lee |
source |
9 |
| SGF |
2016 |
Using SAS Visual Analytics to Develop a Real-Time Business Metrics Command Center for Your Office |
Christopher Blake |
source |
19 |
| SGF |
2015 |
SASTRACE: Your Key to RDBMS Empowerment |
Andrew Howell |
source |
12 |
| MWSUG |
2014 |
Universal SAS Macro to Parse Any Schema of Ryan White Services (RSR) XML Data |
David Izrael,
Michael Costa,
Fizza S. Gillani |
|
6 |
| PharmaSUG |
2014 |
Automate the Process of Image Recognizing a Scatter Plot: An Application of Non-parametric Cluster Analysis in Capturing Data from Graphical Output |
Zhaojie Wang |
source |
11 |
| SGF |
2013 |
Implementing Metadata-driven Reports with SAS Stored Processes |
Toby Hill |
source |
10 |
| PharmaSUG |
2012 |
Multiple Techniques for Scoring Quality of Life Questionnaires |
Brandon L. Welch,
Seungshin Rhee |
source |
10 |
| PharmaSUG |
2012 |
Streamlining Regulatory Submission with CDISC/ADaM Standards for Non-standard Pharmacokinetic/Pharmacodynamic Analysis Datasets |
Xiaopeng Li,
Katrina E. Canonizado,
Chun Feng,
Nancy Wang |
source |
6 |
| PharmaSUG |
2010 |
Accessing and using the metadata from the define.xml [presentation] |
Lex Jansen |
|
74 |
| SGF |
2010 |
Reverse-Engineer a Reference Curve: Capturing Tabular Data from Graphical Output |
Brian P. Fairfield-Carter |
source |
6 |
| SESUG |
2009 |
High Performance Analytics with In-Database Processing |
High Performance |
source |
8 |
| PHUSE EU |
2009 |
Crossing the Chasm: Simplifying Data Management with Perl and Metadata |
Stephen Baker |
source
presentation source |
9 |
| MWSUG |
2009 |
High Performance Analytics with In-Database Processing |
Stephen Brobst,
Keith Collins,
Paul Kent,
Michael Watzke |
|
8 |
| PNWSUG |
2009 |
High Performance Analytics with In-Database Processing |
Stephen Brobst,
Keith Collins,
Paul Kent,
Mike Watzke |
|
8 |
| PharmaSUG |
2009 |
Reverse-Engineer a Reference Curve: Capturing Tabular Data from Graphical Output |
Brian P. Fairfield-Carter |
|
6 |
| PharmaSUG |
2008 |
Cost-Effective Solution to Automating the Creation of CDISC define.xml: Using SAS Data _Null_ with Relational Data Model via SAS/AF Application |
Annie S. Guo |
|
12 |
| PharmaSUG |
2008 |
Power Up SAS with XML |
Richard Foley,
Anthony L. Friebel |
|
8 |
| SGF |
2008 |
Easy as Pie Charts (Any Way You Slice Em) |
Jonah P. Turner |
source |
12 |
| SCSUG |
2007 |
Excelling with SAS |
Faron Kincheloe |
|
3 |
| SGF |
2007 |
Excelling with SAS |
Faron Kincheloe |
source |
3 |
| SUGI |
2006 |
Using Database Principles to Optimize SAS Format Construction from Tabular Data |
Perry Watts |
source |
20 |
| NESUG |
2004 |
How to develop SAS data mart in one day (with code examples!) |
Tanya Kolosova,
Samuel Berestizhevsky |
|
10 |
| SUGI |
2004 |
Designing Information Maps for Ad Hoc Reporting |
Diane Hatcher |
source |
11 |
| SESUG |
2003 |
Sublime Secrets of the SAS SQLheads |
Sigurd W. Hermansen |
source |
6 |
| SEUGI |
2003 |
Are You Maximizing The Value of All Your Data? Using the SAS Bridge for ESRI with ArcGIS Business Analyst in a Retail Market Analysis |
Debra VanGorden |
source |
6 |
| SUGI |
2003 |
Introduction to the SAS Custom Tag Library |
Robert Girardin |
source |
1 |
| SUGI |
2003 |
Metadata Application on Clinical Trial Data in Drug Development |
Julia Z. Zhang,
David C. Chen,
Tor-lai Wong |
source |
3 |
| MWSUG |
2002 |
Using SAS Data to Drive Microsoft Office |
Darren Key,
David Shamlin |
|
8 |
| NESUG |
2002 |
Using SAS Data to Drive Microsoft Office |
David Shamlin |
|
8 |
| SESUG |
2002 |
Structured Query Language: Logic, Structure, and Syntax |
Sigurd W. Hermansen |
source |
10 |
| SEUGI |
2002 |
Data Storage Options for SAS Applications: SAS Intelligent Storage [presentation] |
Bill J. Gibson |
source |
47 |
| SEUGI |
2002 |
Monitoring internal behavior of external IT services using ITSV [presentation] |
Peter Oudshoorn |
source |
29 |
| SUGI |
2002 |
Using SAS Data to Drive Microsoft Office |
Darren Key,
David Shamlin |
source |
8 |
| SEUGI |
2001 |
Using OLAP and the Web for information about local governments in Lombardy [presentation] |
Antonio Lentini |
source |
28 |
| SEUGI |
2001 |
Web Performance Management: A SAS Solution Approach [presentation] |
Frank C. Lieble |
source |
27 |
| SCSUG |
2000 |
Extending the Data Warehouse: An Introduction to OLE DB |
S. David Riba |
|
8 |
| SCSUG |
2000 |
General Guidelines for Creating Useful Static HTML Reports |
Rick Porter,
Jimmy A. DeFoor |
|
16 |
| SESUG |
2000 |
The Power of Hybrid OLAP in a Multidimensional World |
Ann Weinberger |
source |
5 |
| SESUG |
2000 |
Word Pro - JADE_OleDB.lwp |
S. David Riba |
source |
8 |
| NESUG |
2000 |
Templates for Comprehensive Analysis of Logically Dichotomous Survey Questions |
Donald T. Gantz |
|
10 |
| WUSS |
2000 |
Extending the Data Warehouse: An Introduction to OLE DB |
S. David Riba |
source |
8 |
| MWSUG |
2000 |
Extending the Data Warehouse: An Introduction to OLE DB |
S. David Riba |
|
9 |
| SEUGI |
2000 |
Data Warehouse and Analytical Tools - Development and Implementation [presentation] |
David Frazer |
source |
43 |
| SEUGI |
2000 |
The power of HOLAP in a multidimensional world [presentation] |
Massimo Martucci |
source |
42 |
| SUGI |
2000 |
The Power of Hybrid OLAP in a Multidimensional World |
Ann Weinberger,
Matthias Ender |
source |
5 |
| SUGI |
2000 |
To Be or Not to Be? That is the Dynamic Web Page |
Thomas Kunselman,
Almira A. Lyst,
Donald L Penix Jr. |
source |
8 |
| SEUGI |
1999 |
Data warehousing and cost management in the manufacturing sector using SAS System |
Nicolas Radulovic,
Ricardo Olea |
source |
7 |
| SEUGI |
1999 |
Performance tuning tips for HOLAP (Hybrid OLAP) extensions [presentation] |
Carlo Grandi |
source |
33 |
| SUGI |
1999 |
CFO Vision at Centra Health, A Successful Partnership |
Julie A. Maddox,
John Wimmer,
Billy Dunn |
source |
9 |
| SUGI |
1999 |
What's Up with OLE DB? |
Thomas W. Cox |
source |
10 |
| PharmaSUG |
1998 |
Transposing a Relational Database: The Q-System for Pharmaceutical Safety Summarization, Graphics and Analysis |
Mary Cowmeadow |
|
8 |
| SUGI |
1998 |
Retrievals from DB2 BLOB (Binary Large Objects) Data Warehouse Using SAS |
Tracy L. Lord,
Robert C. Pratt |
source |
5 |
| NESUG |
1997 |
Retrievals from DB2 BLOB (Binary Large Objects) Data Warehouses Using SAS Software |
Tracy L. Lord |
|
5 |
| MWSUG |
1997 |
Transporting a Relational Database: The Q-System for Pharmaceutical Safty Summarization, Graphs, and Analysis |
Mary Cowmeadow |
|
5 |
| SUGI |
1995 |
Human Resources Management System Architecture |
Steve Beckner |
source |
4 |
| WUSS |
1994 |
The Future for SAS Software |
Tim Lehman |
source |
3 |
| NESUG |
1993 |
The PROC SQL Pass-Through Facility: Taking Advantage |
Tim Pruitt |
|
6 |
| SEUGI |
1991 |
KBDS - A Knowledge Based Concept for User-friendly Selection of Data in Decision Support Systems |
Soeren Selmar |
source |
12 |
| SUGI |
1990 |
A Software Interface between the SAS' System and ORACLE' |
Weilie Qian,
Yuejin Chen |
source |
5 |
| SUGI |
1988 |
Menu-driven Statistical Defect Analysis System |
Ed Jurgensen,
Tom Lorman,
Tom Pineo |
source |
5 |
| SUGI |
1987 |
Using the SAS System with Relational and Hierarchical Data |
Robert M. Hamer |
source |
8 |
| SEUGI |
1986 |
Information Centre Evolution |
John Miller |
source |
10 |
| SUGI |
1986 |
The Use of the SAS System in the Development of the Production System for the Consumer Price Index (CPI) |
James E. Johnstone,
Merry G. Rabb,
Joshua Sharlin |
source |
5 |
| SUGI |
1986 |
Visual Information Systems |
C. David Hardison |
source |
8 |
| SUGI |
1983 |
Construction and Management of a Medical Research Data Base Using RAQL and SAS |
Jacob V. Aranda,
Ted Van Rossum |
source |
|
| SUGI |
1982 |
Can SAS Replace Traditional Programming Languages in Large Systems Development-A Manager's Perspective |
J. Harvey Trimble Jr. |
source |
3 |
| SUGI |
1982 |
SD/SDM, a System Design and StatidDynamic Modeling Tool Set |
Armen Gabrielian |
source |
6 |
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