| PHUSE US |
2026 |
Enhancing Clinical Study Report Authoring with Generative AI: Lessons Learned on TFL Formatting and Metadata Integration in Merck's iRAP Tool |
Elisabeth Pyle,
Madhusudhan Reddy Papasani |
source
presentation source |
4 |
| PHUSE APAC |
2026 |
AI for Adverse Event Signal Detection: Moving Beyond |
Monika Monika |
source
presentation source |
10 |
| PHUSE APAC |
2026 |
Crafting a recipe for success : Aligning Target Product Profiles and study design to ensure statistical significance translates to clinical relevance and role of DGF |
Soumitra Kar,
Novo Nordisk GBS |
source
presentation source |
9 |
| PHUSE APAC |
2026 |
Elastic Net Meets BART: A Hybrid Virtual Twins Approach for Reliable Subgroup Identification |
Alexis Bernard Dalam |
source
presentation source |
10 |
| PHUSE APAC |
2026 |
Resistance Data Revolution: Insights, Challenges and FDA Compliance Implementation |
Sujith Mididoddi |
source
poster source |
3 |
| PHUSE US |
2025 |
More Than a p-Value: Understanding the Differences Between Clinical and Statistical Significance |
Jasperlynn Kao,
Elnaz Ghadimi |
source
presentation source |
4 |
| WUSS |
2024 |
Correlation of a Composite Self-Reported Symptoms Severity Score with Patient Number of Symptoms as Predictors of SARS-CoV-2 infection status/Viral Load using the SAS System [presentation] |
Jesse Albert Canchola,
Daniel Jarem,
Alison Kuchta |
source |
54 |
| PharmaSUG |
2022 |
Win Ratio Simulation For Power Calculation Made Easy |
Lili Li,
Roger Chang,
Benjamin Fine,
Yu-Chen Su |
source |
13 |
| PHUSE US |
2021 |
Interactive Visualization and Summarization of Toxicology Study Results Across Species, Routes and Durations Throughout a Drug Development Program Using R Shiny [presentation] |
Kevin Snyder,
Md Yousuf Ali |
source
video |
14 |
| PHUSE US |
2021 |
Neurological Examination and Procedure Results in SDTM: Challenges and Solutions [presentation] |
Shivam Kumar |
source
video |
14 |
| PharmaSUG |
2021 |
Shiny decisions - An R-shiny application for decision frameworks |
Lasse Nielsen |
source |
6 |
| PHUSE EU |
2020 |
Enabling Novel Digital Endpoints in Clinical Trials for Regulatory Purposes: Bringing Efficiency to the Industry by Creating a Service-based Ecosystem [presentation] |
Bert Hartog,
Kai Langel |
source
video |
14 |
| PHUSE EU |
2020 |
SUPPQUAL Datasets: The Good, the Bad and the Ugly [presentation] |
Sergiy Sirichenko |
source
video |
40 |
| PHUSE EU |
2013 |
ADaM Datasets - Standard and Submission Ready |
Karin Fleischer Steffensen |
source
presentation source |
6 |
| PHUSE EU |
2012 |
Misinterpretation of Statistics - An Introduction |
John Salter |
source
presentation source |
9 |
| PharmaSUG |
2012 |
Common Misunderstandings about ADaM Implementation |
Nate Freimark,
Susan J. Kenny,
Jack Shostak,
John K. Troxell |
source |
10 |
| PharmaSUG |
2011 |
Ensuring Consistent Data Mapping Across SDTM-based Studies - a Data Warehouse Approach |
Annie S. Guo |
source |
12 |
| MWSUG |
2010 |
A DOE "Real Life" Example: Solid Phase Optimization of a Diagnostic Immunoassay |
Steve Figard |
|
11 |
| NESUG |
2009 |
A Practical Introduction to implementing the Clinical Data Acquisition Standards Harmonization (CDASH) standards |
Jennifer Price |
|
7 |
| PharmaSUG |
2009 |
A Practical Introduction to Clinical Data Acquisition Standards Harmonization (CDASH) |
Jennifer Price |
|
5 |
| SUGI |
2000 |
Design and Analysis of Cancer Control Studies via the SAS System |
Jeff A. Sloan,
Charles L. Loprinzi,
Paul J. Novotny |
source |
10 |
| SUGI |
1998 |
Skaff and Jeff A. Sloan Design and Analysis of Equivalence Clinical T rials V ia the SAS System |
Pamela J. Atherton |
source |
7 |
| WUSS |
1995 |
Method Comparison Using Bland-Altman Method |
Meng-Koon Chua |
source |
5 |
| SUGI |
1995 |
Controlling Your Programs with Data: An Example in Pharmaceutical Laboratory Data Reporting |
Paul C. Wehr,
Albert Mo |
source |
6 |
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