| WUSS |
2026 |
Data Step Your Workflow and Macro Your Way to Automation: Importing Thousands of Excel Reports That Aren't Datasets |
Richard Rivera,
Humberto Cisneros |
source |
16 |
| PharmaSUG CN |
2026 |
An Integrated, AI-Augmented R Shiny Platform for Oncology Clinical Trial Decision Intelligence: From CDISC Data to Go/No-Go in One Unified Hub |
Zhiping Yan |
source |
28 |
| PharmaSUG |
2026 |
Leveraging LLMs in Data Science Web Applications: Beyond the Chat Interface |
Tyler Rowsell,
Nandini Thampi,
Dishank Jani,
Hao Xu |
source |
18 |
| PharmaSUG |
2025 |
Promising Zone Designs for Sample Size Re-estimation in Clinical Trials: Graphical Approaches Using SAS |
Zhao Yang,
Shivani Nanda |
source |
18 |
| PHUSE EU |
2024 |
Automating Real-World Data Analysis Using R Packages and Shiny: A Three-Stage Workflow |
Stavros Oikonomou,
Louise Raiteri |
source
presentation source |
8 |
| PharmaSUG |
2024 |
PHUSE Safety Analytics Working Group - Overview and Deliverables Update |
Nancy Brucken,
Mary Nilsson,
Greg Ball |
source |
5 |
| PHUSE EU |
2023 |
Innovating the Leadership Toolkit Through Design Thinking [presentation] |
Marten Krijgsman,
James McDermott |
source |
65 |
| PharmaSUG |
2023 |
PHUSE Safety Analytics Working Group - Overview and Deliverables Update |
Nancy Brucken,
Clio Wu,
Mary Nilsson,
Greg Ball |
source |
5 |
| PHUSE US |
2023 |
Handling Multiple Adaptations in One Clinical Trial |
Parvee Kumar,
Shrutimita Pokhariyal |
source
presentation source |
6 |
| PharmaSUG |
2022 |
An Expanded Set of SAS Macros for Calculating Confidence Limits and P-values Under Simon's Two-Stage Design Accounting for Actual and Planned Sample Sizes |
Mikhail Melikov,
Alex Karanevich |
source |
8 |
| PHUSE US |
2022 |
Implementation of Real-world Structured/ Unstructured Clinical Data in Real-world Evidence Trials (RWEs) for Regulatory Submissions [presentation] |
Ravi Mokkarala,
Yan Shen |
source |
12 |
| PHUSE EU |
2021 |
Easy Parallel Processing in SAS/BASE: A Case Study [presentation] |
Anna Socha,
Paul Wicks |
source
video |
17 |
| SESUG |
2019 |
Need to develop your employees' SAS Skills? A step by step framework Smith, Kelly D., Central Piedmont Community College |
Kelly D. Smith |
source |
9 |
| PharmaSUG |
2019 |
Making the Days Count: Counting Distinct Days in Overlapping or Disjoint Date Intervals |
Noory Y. Kim |
source |
12 |
| SGF |
2019 |
Machine Learning for Effective Surveillance with SAS Adaptive Learning and Intelligent Agent System |
Rory MacKenzie |
source |
14 |
| PHUSE US |
2018 |
Cue the Word - QC - All You Need to Know! |
Subha Jamburajan,
Nancy Haeusser |
source
presentation source |
6 |
| SGF |
2017 |
The Development and Application of a Composite Score for Social Determinants of Health |
Paul A. LaBrec,
Ryan C. Butterfield |
source |
16 |
| MWSUG |
2016 |
Frequentist and Bayesian Interim Analysis in Clinical Trials: Group Sequential Testing and Posterior Predictive Probability Monitoring Using SAS |
Kechen Zhao |
|
14 |
| SGF |
2016 |
A Multistage Modeling Strategy for Hierarchical Demand Forecasting |
Pu Wang |
source |
11 |
| PharmaSUG |
2015 |
A Methodology of Laboratory Data Reporting of Potentially Clinical Significant Abnormality (PCSA) for Clinical Study Report |
Xiangchen (Bob) Cui,
Min Chen |
source |
21 |
| PharmaSUG |
2015 |
Analysis Methods for a Sequential Parallel Comparison Design (SPCD) |
Harry Haber,
James Zuazo,
Linda LaMoreaux |
source |
11 |
| SGF |
2015 |
Strengthening Diverse Retail Business Processes with Forecasting: Practical Application of Forecasting Across the Retail Enterprise |
Alex Chien,
Elizabeth Cubbage,
Wanda Shive |
source |
21 |
| MWSUG |
2014 |
Categorical AND Continuous - The Best of Both Worlds |
Kathryn Schurr,
Ruth Kurtycz |
|
60 |
| SGF |
2012 |
Building an Optimal Execution Plan for Liquidity Management Using SAS |
Wei Chen,
Liping Cai,
Jimmy Skoglund |
source |
8 |
| PHUSE EU |
2010 |
The Innovative Medicines Initiative Knowledge Management [presentation] |
Ann Marie Martin |
source |
50 |
| SGF |
2009 |
%QLS SAS Macro: A SAS Macro for Analysis of Longitudinal Data Using Quasi-Least Squares |
Hanjoo Kim,
Justine Shults |
source |
12 |
| SGF |
2007 |
Using SAS to Determine Sample Sizes for Traditional Two-Stage and Adaptive Two-Stage Phase II Cancer Clinical Trial Designs |
St. Clare Groulx,
Adrienne Moon,
Kyung-hee Chung |
source |
9 |
| SESUG |
2004 |
1 Matching SAS Data Sets: If at First You Don't Succeed, Match, Match Again |
Imelda C. Go |
source |
10 |
| SUGI |
2003 |
Developing SAS/AF Applications with Form Viewers and Table Viewers |
Steven A. Wilson,
Bernd E. Imken |
source |
10 |
| SEUGI |
2002 |
An Introduction to SAS IT Management Solutions [presentation] |
Richard Seery |
source |
20 |
| SEUGI |
2002 |
Proving the value of IT on the bottom line [presentation] |
Arne Lofgren |
source |
24 |
| NESUG |
1998 |
Is Your Data Warehouse Successful? : Developing a Data Warehouse Process That Responds to the Needs of the Enterprise |
Peter R. Welbrock |
|
10 |
| SUGI |
1998 |
Is Your Data Warehouse Successful? : Developing a Data Warehouse Process That Responds to the Needs of the Enterprise |
Peter R. Welbrock |
source |
10 |
| SEUGI |
1997 |
Using lifestyle data to improve customer segmentation |
Huw Davis |
source |
13 |
| WUSS |
1996 |
Warehouse Now! The Legacy Uncovered |
Jay A. Jaffe |
source |
6 |
| SEUGI |
1996 |
Optimising Access to DB2 from SAS |
Simon Pickles |
source |
8 |
| SUGI |
1996 |
Warehouse NOW! Blasting through to Legacy Data with (Almost) No Programming |
Jay A. Jaffe |
source |
|
| SEUGI |
1995 |
A Graphical Decision Support System for Typology Elaboration |
Franck Jamin |
source |
13 |
| SUGI |
1994 |
Using the EXPLAIN Feature to Improve DB2 Query Performance |
Frank Soloman |
source |
6 |
| SUGI |
1991 |
A Procedure for Deciding Which Treatments to Accept in a Screening Study Involving Pseudo-Bernoulli Data |
Ralph A. DeMasi,
Dana Quade |
source |
7 |
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