| PharmaSUG CN |
2026 |
A Traceable and Reproducible Framework for Oncology Efficacy Data Review Using IMWG Criteria: A BCMA Case Study |
Yun Jiang, Yingying Deng, Manman Lu, Longhui Li |
source |
6 |
| PharmaSUG CN |
2026 |
AI-Assisted QC for Clinical Trial Tables: A Scalable Approach for Heterogeneous Templates and Distributed Data. |
Shuchun (Coral) Wu |
source |
7 |
| PharmaSUG CN |
2026 |
From SAP to TFL: An AI-Assisted Workflow Framework for Automated Shells and TFLs |
Xiaoyu Ding, Guoqing Zhao, Huafeng Gao, Zhiyuan Guo |
source |
18 |
| PharmaSUG CN |
2026 |
Modernizing the Vaccine TAUG: An End-to-End, Output-Driven Framework for Reactogenicity, Immunogenicity, Efficacy, and Reviewer-Ready Submissions |
Lin Chen, Jialiang Liu |
source |
18 |
| PharmaSUG CN |
2026 |
One Pipeline, Zero First Drafts: A Metadata-and-LLM Toolkit for Automated TFL Program Generation |
Hefan Jing, Peilin Liu |
source |
10 |
| PharmaSUG |
2026 |
A fully automated PDF solution using SAS without third-party PDF tools |
Zhongan Chen |
source |
10 |
| PharmaSUG |
2026 |
A Practical Approach to Multiple-Period CLINSITE Preparation |
Liyuan Huang, Amanda Plaisted, Sreedhar Bodepudi |
source |
6 |
| PharmaSUG |
2026 |
An Agentic AI Framework That Reads Statistical Analysis Plans and Generates TFL Table of Contents |
Siqi Wang, Toshio Kimura, Songgu Xie, Weiming Du |
source |
6 |
| PharmaSUG |
2026 |
Early-Careers Essentials: Practical Checklists for Manual TLF Review |
Ingrid Shu, Xinhui Zhang |
source |
7 |
| PharmaSUG |
2026 |
Structure-Preserving Preprocessing of Clinical Documents for Large Language Model Analysis |
Zun Wang, Juntao Yan |
source |
12 |
| PharmaSUG |
2026 |
Visualizing PK and ADA Data at Scale: A Parameter-Driven SAS Macro for Box Plot Generation |
Prasannanjaneyulu Narisetty, Anilkumar Anksapur |
source |
9 |
| PHUSE US |
2026 |
Advancing Precision Medicine and Regulatory Readiness: Data Harmonisation and Statistical Methods for Companion Diagnostics Bridging Studies |
Ummul Vara Qurratul Ain |
source presentation source |
10 |
| PHUSE US |
2026 |
AI Reading and Understanding the SAP to Generate the TFL TOC |
Siqi Wang, Toshio Kimura |
source presentation source |
6 |
| PHUSE US |
2026 |
An AI-Driven Framework for Automated Statistical Analysis Plan Generation in Clinical Trials |
Qingyuan Zhang |
source presentation source |
8 |
| PHUSE US |
2026 |
Automated Code Generation: Evaluating Deterministic and Probabilistic Approaches |
Malan Bosman |
source presentation source |
6 |
| PHUSE US |
2026 |
Deriving Phantom Records in BDS Datasets To Support the FDA's Standard Safety Figures for Missing Data Analysis |
Guowei Wu, Ruchitbhai Patel |
source presentation source |
6 |
| PHUSE US |
2026 |
From SAS to R for TLGs: A Case Study on Implementing an 'R-First, SAS-QC' Workflow for Time-to-Event Analysis |
Adler Moisés Fallas Rodríguez |
source presentation source |
8 |
| PHUSE US |
2026 |
Metadata-Driven TFL Generation: End-to-End Automation from Protocol to Output |
Bill Qubeck |
source presentation source |
12 |
| PHUSE US |
2026 |
QC Without Code: ChatGPT Enterprise for Sponsor Oversight of Outsourced TFLs |
Jenny Price, Brad Moore |
source presentation source |
9 |
| PHUSE EU |
2025 |
Building Reusable Precision Logic in SAS Using PROC FCMP |
Mariam Babayan, Syuzanna Simonyan |
source presentation source |
6 |
| PHUSE EU |
2025 |
gridify: Enrich Figures and Tables with Custom Headers and Footers |
Maciej Nasinski, Alexandra Wall |
source poster source |
10 |
| PHUSE EU |
2025 |
On the Right Track: Managing Platform Modular Studies with a Central Metadata Switchboard |
Dubravka Georgijevic, Carla Santillán |
source presentation source |
7 |
| 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 US |
2025 |
Advancing Safety Evaluation in Oncology Trials Using Estimands |
Reshma Radhakrishnan, Lakshmi Mantha |
source presentation source |
8 |
| PHUSE US |
2025 |
Advancing TFL Automation: R-Based Meta-Programming Powered by ARS |
Malan Bosman |
source presentation source |
7 |
| PHUSE US |
2025 |
Selecting GeARS: Analysis Results Standard Implementation Options for Accelerated Analysis and TFL Automation |
Bhavin Busa, Richard Marshall |
source presentation source |
10 |
| PHUSE EU |
2024 |
Anatomy of a Table - Our Continued Journey to Automating Output Delivery Through Metadata |
Edwin van Stein |
source poster source |
10 |
| PHUSE EU |
2024 |
Auto-Generating the List of Tables from a Statistical Analysis Plan - A Case Study [presentation] |
Jaya Simha Inampudi, Krishna Gopal |
source |
14 |
| PHUSE EU |
2024 |
Strategies to Improve Understanding of Estimands and Analysis Section of Statistical Analysis Plan |
Inderjeet Arora |
source presentation source |
8 |
| PHUSE EU |
2024 |
Using RWD to Inform the Next Study: A Case Study [presentation] |
Jean-Marc Ferran |
source |
22 |
| PharmaSUG CN |
2024 |
Implementation on concentration-QTc modeling |
Daoqing Li, Deli Cao |
source |
20 |
| PharmaSUG CN |
2024 |
LiveTFL -- A Centralized Clinical Analysis Platform Based on the Teal Framework and Enhanced by AI |
Kaiping Yang, Jie Liu, Cheng Zhang, Yuhang Liu |
source |
22 |
| PharmaSUG CN |
2024 |
Navigating Statistical Programming Challenges in Early Phase Oncology Trials |
Dandan Du |
source |
13 |
| PharmaSUG |
2024 |
Demystifying Incidence Rates: A Step-by-Step Guide to Adverse Event Analysis for Novice Programmers |
Yuting Peng, Ruohan Wang |
source |
10 |
| PharmaSUG |
2024 |
How to generate a submission ready ADaM for complex data |
Yilan Xu, Hu Qu, Tina Wu |
source |
8 |
| PharmaSUG |
2024 |
Integrity, Please: Three Techniques for One-Step Solution in Pharmaceutical Programming |
Jason J. Su |
source |
15 |
| PHUSE EU |
2023 |
Challenges in Oncology Modular studies: The Fortrea approach |
Francesca Dall'Acqua |
source presentation source |
7 |
| PHUSE EU |
2023 |
Generalisable Analysis Pipelines for Handling Large HTA Submissions [poster] |
Nicolai Skov Johnsen, Matthew Phelps |
source |
1 |
| 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 |
| PHUSE EU |
2023 |
Leveraging the Analysis Results Standard (ARS): The Cytel PRISM Experience |
Nicolas Rouillé, Sebastià Barceló |
source presentation source |
8 |
| PHUSE EU |
2023 |
The Curious Case of Observational Studies - A Programmer's Dilemma |
Vikas Shokeen |
source presentation source |
11 |
| PharmaSUG |
2023 |
All You Need to Know about the New CDISC Analysis Results Standards! |
Bhavin Busa, Richard Marshall, Bess LeRoy |
source |
7 |
| PharmaSUG |
2023 |
Automated Mockup Table and Metadata Generator |
Jeff Cheng, Shunbing Zhao, Guowei Wu, Suhas R. Sanjee |
source |
12 |
| PharmaSUG |
2023 |
Repetitive Analyses in SAS - Use of Macros Versus Data Inflation and BY Group Processing |
Bradford J. Danner, Indrani Sarkar |
source |
6 |
| PHUSE US |
2023 |
How Python or R Support/Facilitate the Validation Process of TFLs for a Study Development Using Hybrid SAS and R [presentation] |
Linshan Yuan, Weiwei Xu |
source |
19 |
| PHUSE US |
2023 |
Incremental Automation - Lessons from a Pragmatic and Agile Journey of Improvement [presentation] |
Todd Bazin, Anuja Das |
source video |
31 |
| PHUSE US |
2023 |
Metadata Driven Creation of TLF Programs by Using JSON Data File [presentation] |
Linshan Yuan, Sheng-Wei Wang |
source video |
18 |
| PharmaSUG |
2022 |
From the Laboratory Toxicity Data Standardization to CTCAE Implementation |
Xiaoyin Zhong, Jerry Xu |
source |
7 |
| PHUSE US |
2022 |
'Verify Outputs' Product Demonstration: Validation of Statistical Outputs Using Automation [presentation] |
Ilan Carmeli, Yoran Bar |
source video |
17 |
| PHUSE US |
2022 |
Combining Multiple R Outputs into One HTML File with Bookmarks |
Baoqing Li, Eric Zhang |
source presentation source |
5 |
| PHUSE US |
2022 |
DPS Helper: A Web Application to Create the Data Presentation Specifications Word Document in Clinical Trials [presentation] |
Asavari Mehta, Xiaoguang Yan |
source video |
37 |
| PHUSE US |
2022 |
Table Mining: The Barrier for Automation [presentation] |
Ilan Carmeli, Mor Ram-On |
source |
16 |
| PHUSE EU |
2021 |
GUI for CSR Reporting: R You Ready to Shine with SAS? [presentation] |
Chris Ridley, Matthew Brierley |
source video |
9 |
| PHUSE EU |
2021 |
Transforming Reporting - A Journey into Web Technology for Listing Generation [presentation] |
Joseph Rowley, Kartik Rajan |
source video |
23 |
| PHUSE US |
2021 |
An SAS Macro for Dynamic Page Breaks [presentation] |
Bhavana Bommisetty, Manohar Modem |
source video |
13 |
| PHUSE US |
2021 |
Managing TFL Development in LSAF 5.3 Using SAS and R Code [presentation] |
Jean-Marc Ferran, Stijn Rogiers |
source video |
33 |
| PHUSE US |
2021 |
Using Real-world Data in Supporting Health Authority Submission [presentation] |
Ruoying Fang, Shuang Zhang |
source video |
26 |
| PharmaSUG |
2021 |
Macro Development from Design to Implementation Applied to Occurrence Data Frequency Analysis |
Chengxin Li, Michael Pannucci, Toshio Kimura |
source |
9 |
| PHUSE EU |
2020 |
Managing TFL Development in LSAF 5.3 Using SAS and R Code [presentation] |
Jean-Marc Ferran, Stijn Rogiers |
source video |
23 |
| PHUSE US |
2020 |
Getting e-Closer to Multi-Regional Clinical Trials |
Lily Ling, Yuan Yuan Dong, Yanhong Li |
source presentation source |
5 |
| PHUSE EU |
2019 |
Validate the validated: A python script for study leads to review clinical outputs |
Varaprasad Ilapogu |
source presentation source |
6 |
| WUSS |
2019 |
Validate the validated: A python script for study leads to review clinical outputs |
Varaprasad Ilapogu |
source |
6 |
| PharmaSUG |
2019 |
Making Lab Toxicity Tables Less Toxic on Your Brain |
Lindsey Xie, Jinlin Wang, Jennifer Sun, Rita Lai, Richann J. Watson |
source |
13 |
| PharmaSUG |
2018 |
Common Data Related Review Issues and Prevention: A Statistical Reviewer's Thoughts |
Huanyu Chen |
source |
18 |
| PHUSE EU |
2016 |
Using Metadata to Drive Standards, Speed, Consistency and Quality in Reporting |
Shafi Chowdhury, Daniel J. Boisvert |
source presentation source |
6 |
| PharmaSUG |
2016 |
Efficient Safety Assessment in Clinical Trials using the Computer-generated AE Narratives of JMP Clinical |
Richard C. Zink, Drew Foglia |
source |
13 |
| PHUSE EU |
2014 |
Unuttered Questions of Statistical Programmers |
Aparajita Dey |
source presentation source |
10 |
| MWSUG |
2014 |
WHERE, Oh, WHERE Art Thou? A Cautionary Tale for Using WHERE Statements and WHERE= Options |
Britney D. Gilbert |
|
4 |
| PharmaSUG |
2014 |
Common and Comparative Incidence Indicators of Adverse Events for Well-Defined Study Pools |
John R. Gerlach |
source |
7 |
| PharmaSUG |
2014 |
WHERE, Oh, WHERE Art Thou? A Cautionary Tale for Using WHERE Statements and WHERE= Options |
Britney D. Gilbert |
source |
4 |
| PHUSE EU |
2013 |
Macro to Conduct Consistency Checks [presentation] |
Johanna Gaignard, Walter H. Hufford Jr. |
source |
10 |
| PharmaSUG |
2013 |
Defensive Programming and Error-handling: The Path Less Travelled |
Tracy Sherman, Angela S. Ringelberg |
source |
9 |
| PharmaSUG |
2013 |
The Y2K17 Bug! Using Metadata to Respond to PDUFA V Requirements |
Vincent J. Amoruccio |
source |
12 |
| PHUSE EU |
2012 |
Training Statistical Programmers on SAP Review Skills |
Sascha Ahrweiler |
source presentation source |
7 |
| PHUSE EU |
2011 |
Training Statistical Programmers on SAP Review Skills |
Sascha Ahrweiler |
source presentation source |
7 |
| PHUSE EU |
2010 |
Generate ATTRIB and FORMAT statements from the SAP |
Shafi Chowdhury |
source presentation source |
7 |
| MWSUG |
2010 |
Macrotize! A Beginner's Guide to Designing and Writing Macros |
Stacey D. Phillips |
|
12 |
| PHUSE EU |
2009 |
Clinical Database acceptance: what statistical review checks are necessary to validate a database? |
Genevieve Jehl |
source |
12 |
| PharmaSUG |
2009 |
A Statistical Analysis System for Categorical Data using SAS |
Cheng Jun Tian |
|
10 |
| PharmaSUG |
2009 |
Generic System for Generating Data Listings |
Cheng Jun Tian |
|
15 |
| PHUSE EU |
2007 |
Clinical data standards and automation |
Giri Balasubramanian |
source |
11 |
| PharmaSUG |
2007 |
An Application of ODS Tagset to Produce HTML Files for Clinical Study Reports |
Li Luo |
|
10 |
| PHUSE EU |
2006 |
Standardization in Clinical Development |
Marianne Carames |
source |
7 |
| PharmaSUG |
2005 |
Managing a SAS Programming Environment Using Data Access Pages and the Microsoft Office Data Source Control |
Brian P. Fairfield-Carter |
|
12 |
| SUGI |
2005 |
Managing a SAS Programming Environment Using Data Access Pages and the Microsoft Office Data Source Control |
Brian P. Fairfield-Carter |
source |
10 |