| 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 |
| PHUSE US |
2026 |
Ensuring Reliability of Medical Devices Through Statistical Oversight in the Age of AI |
Parvee Kumar,
Shrutimita Pokhariyal |
source
presentation source |
11 |
| PHUSE US |
2026 |
Machine Learning Model for Risk Qualification of R Libraries |
Felipe Jimenez,
Luis Diego Leal Chaves |
source
presentation source |
13 |
| PHUSE APAC |
2026 |
How Central Statistical Monitoring Drives a Risk-Based Approach to Clinical Trial Monitoring |
Charles Warne |
source
presentation source |
9 |
| PHUSE APAC |
2026 |
Signal First: A Data-Driven Approach to Safety Prioritization Using SAS and Tableau |
Jinu J. Nair,
Rubina Pathan |
source
poster source |
9 |
| SESUG |
2025 |
A Generational Analysis of Mental Health Trends and Risk Factors Using CDC BRFSS Data |
Shubham Choudhary,
Amit Navare |
|
14 |
| PHUSE US |
2025 |
Posit Team: Metadata-Driven Risk Assessment and Surfacing Validated R Packages |
Philip Bowsher,
Michael Mayer |
source
presentation source |
5 |
| PHUSE US |
2025 |
R Package Risk Assessment: Balancing Programmatic and Human Input |
Chelsea Dickens |
source
presentation source |
4 |
| PharmaSUG |
2024 |
Validating R for Pharma - Streamlining the Validation of Open-Source R Packages within Highly Regulated Pharmaceutical Work |
Juliane Manitz,
Anuja Das,
Antal Martinecz,
Jaxon Abercrombie,
Doug Kelkhoff |
source |
6 |
| PHUSE EU |
2023 |
Advanced Analytics for Data Quality Assessment in Countries and Regions Affected by Crisis |
Archana Nayak,
Mohammad Umarfaruque |
source
presentation source |
13 |
| PHUSE EU |
2023 |
Handling Missing Data in Exploratory Analyses Using RWD: 'Collect the Data You Love or Love the Data You Get' - A Case Study [presentation] |
Jean-Marc Ferran |
source |
22 |
| WUSS |
2023 |
A SAS Macro for 30-Year Cardiovascular Risk Predication |
Matt Zhou,
Hui Zhou,
Jaejin An |
source |
11 |
| PharmaSUG |
2023 |
R Package Qualification: Automation and Documentation in a Regulated Environment |
Paul Bernecki,
Nicole Jones,
Uday Preetham Palukuru,
Abhilash Chimbirithy |
source |
16 |
| PHUSE US |
2021 |
Using Central Monitoring to Mitigate Data Quality Risk during the COVID-19 Pandemic [presentation] |
Adrienne Strickler,
Anna Wojcik |
source
video |
21 |
| PHUSE EU |
2020 |
Inlier Analysis Using Mahalanobis Distance in Central Monitoring [presentation] |
Abhyuday Chanda |
source
video |
19 |
| PHUSE US |
2020 |
Using RWD in the Form of EHR Data to Predict Adverse Events and Outcomes |
Corey Young,
Susan Olson |
source |
4 |
| SGF |
2019 |
Developing a Credit Risk Model Using SAS |
Amos Odeleye |
source |
16 |
| SGF |
2019 |
Predicting Patients at High Risk of Hospital-Acquired Conditions Using the LOGISTIC Procedure |
Jennifer Hargrove,
Pamela Hipp,
Glenn Sidle |
source |
12 |
| PHUSE US |
2019 |
Applying Risk Based Approach to Portfolio Management |
Chandi Kodthiwada |
source
presentation source |
4 |
| PHUSE US |
2019 |
Statistical Models of Risk Flux Reveal Dynamics of RBM-managed Clinical Trials |
Michael Farnum |
source
presentation source |
12 |
| MWSUG |
2018 |
Assessing Model Adequacy in Proportional Hazards Regression |
Michael G. Wilson |
|
37 |
| PHUSE US |
2018 |
A Statistics-based Tool to Inform Risk-based Monitoring Approaches |
Laura Williams,
Giulia Zardi |
source
presentation source |
8 |
| PharmaSUG |
2018 |
Risk-based Validation in Clinical Trial Reporting: Focus on What Matters Most |
Amber Randall,
William Coar |
source |
10 |
| SGF |
2018 |
SAS Visual Investigator and SAS Visual Analytics: Bridging the Gap between Subject Matter Experts |
Emily Chapman-Mcquiston |
source |
12 |
| SGF |
2018 |
What's New at SAS for Health Care |
Lina Clover |
source |
9 |
| WUSS |
2017 |
Approaches in Loan and Vintage Level ROI Forecasting - A Consumer Lending Industry Perspective |
Sridhr Sankranti |
source |
8 |
| SGF |
2017 |
Bringing Real-Time Scoring to Your SAS Visual Analytics Dashboards with SAS Visual Statistics Score Code |
Eli Kovick |
source |
12 |
| SESUG |
2016 |
Sankey Diagram with Incomplete Data - From a Medical Research Perspective |
Sankey Diagram |
source |
14 |
| SGF |
2015 |
Risk-Adjusting Provider Performance Utilization Metrics |
Stephanie Poley |
source |
9 |
| SGF |
2015 |
Visualizing Relationships and Connections in Complex Data Using Network Diagrams in SAS Visual Analytics |
Stephen Overton,
Ben Zenick |
source
zip |
15 |
| MWSUG |
2014 |
Analyzing Collection Effectiveness using Incremental Response Modeling |
Ryan Burton |
|
7 |
| PharmaSUG |
2014 |
Risk-Based Approach to Identifying and Selecting Clinical Sites for Sponsor's Preparation for FDA/EMA Inspection |
Xiangchen (Bob) Cui |
source |
21 |
| SGF |
2014 |
A Risk Score Calculator for Short-Term Morbidity Following Hip Fracture Surgery |
Yubo Gao |
source |
5 |
| SGF |
2013 |
Assessing Model Adequacy in Proportional Hazards Regression |
Michael G. Wilson |
source |
36 |
| SGF |
2013 |
Detecting Cross-Channel Fraud Using SAS |
Krutharth Kumar Peravalli Venkata Naga,
Srikar Rayabaram |
source |
9 |
| SGF |
2012 |
Constructing a Credit Risk Scorecard Using Predictive Clusters |
Andres F. Gonzalez,
Alejandro Correa Bahnsen,
Ana C. Nieto,
Darwin A. Amezquita |
source |
13 |
| SGF |
2008 |
Using SAS Enterprise Miner to Prescribe a Pre-Screen Mailing |
Rex Pruitt |
source |
6 |
| SESUG |
2006 |
Segmentation of Data Prior to Modeling |
Gregg Weldon |
source |
7 |
| WUSS |
2006 |
Hierarchical Logistic Regression Modeling with SAS GLIMMIX |
Jian Dai,
Zhongmin Li,
David Rocke |
source |
9 |
| PharmaSUG |
2003 |
Using SAS Software and Visual Basic for Applications to Produce Microsoft Graph Charts |
Lori S. Parsons |
|
10 |
| SUGI |
2003 |
Using SAS Software and Visual Basic for Applications to Produce Microsoft Graph Charts |
Lori S. Parsons |
source |
10 |
| NESUG |
2002 |
Using the LOGISTIC Procedure to Model Responses to Financial Services Direct Marketing |
David Marsh |
|
6 |
| WUSS |
2001 |
Using SAS Enterprise Miner for Forecasting Response and Risk |
Kattamuri S. Sarma |
source |
10 |
| WUSS |
2000 |
Data Warehousing for Data Mining: A Case Study |
C. Olivia Parr Rud |
source |
9 |
| SUGI |
2000 |
Data Warehousing for Data Mining: A Case Study |
C. Olivia Parr Rud |
source |
9 |
| SUGI |
1998 |
Dun &Bradstreet: Using SAS Software to Solve Customer Purchasing Problems |
Christine C. Kelly,
Michael B. Smart |
source |
6 |
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