| WUSS |
2026 |
The Agent That Asks the Questions: Autonomous Hypothesis Generation Over CDISC Trial Data with SAS |
Mehdi Hajmollaahmad Naraghi,
Lida Gharibvand |
source |
14 |
| PharmaSUG CN |
2026 |
A Practical Framework for Applying Generative AI in Clinical SAS Programming: A Human-in-the-Loop Approach for Chinese Clinical Studies |
Siyu Yu |
source |
12 |
| PharmaSUG CN |
2026 |
DupChecker: A Python Tool for Detecting Code Duplication in Double Programming in Clinical Trials |
Xianhua Zeng |
source |
4 |
| PharmaSUG |
2026 |
Eliminating QC Programming Duplication Through Claude AI-Assisted Independent Code Generation: A Practical Framework for Regulatory-Compliant Validation |
Jaime Yan,
Jason Zhang |
source |
13 |
| PharmaSUG |
2026 |
It-s a Wonderful Lifecycle: Translating Statistical Programming into Modern Analytics Development |
Steve Nicholas |
source |
3 |
| PharmaSUG |
2026 |
Optimizing Clinical TFL Review with Python and Power BI: A Reproducible Workflow to Reduce QC Time and Improve Traceability |
Vijaya Lakshmi Cherakam,
Latha Donapati |
source |
10 |
| PharmaSUG |
2026 |
Ready for Next Level SDTMs and ADaMs Compliance with End-to-End Processing? |
Sunil Kumar Gupta,
Tomás Sabat Stofsel |
source |
6 |
| PHUSE US |
2026 |
Beyond Box-Checking: Five Best Practices for Embedding QC in Modern SCEs |
Chris McSpiritt |
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 |
Optimising Output Review: A Targeted and Scalable RTF Validation Framework |
Siddharth Kumar |
source
presentation source |
7 |
| PHUSE US |
2026 |
QC Without Code: ChatGPT Enterprise for Sponsor Oversight of Outsourced TFLs |
Jenny Price,
Brad Moore |
source
presentation source |
9 |
| PHUSE US |
2026 |
Ready for Next-Level SDTM and ADaM Compliance with End-to-End Processing? |
Sunil Kumar Gupta |
source
presentation source |
4 |
| PHUSE APAC |
2026 |
An Agentic Approach to Validation, Influencing Reporting with AI |
Junibel R. De Leon,
Karthik Palani |
source
presentation source |
5 |
| PHUSE EU |
2025 |
Being a Perfect Programmer: Code Smarter, Review Sharper, and Embrace the Future |
Akhil Vijayan,
Limna Salim |
source
presentation source |
11 |
| PHUSE EU |
2025 |
Detecting Logical Errors in Clinical Programming by Applying ChatGPT |
Illia Skliar |
source
presentation source |
9 |
| PHUSE EU |
2025 |
Lets Not Get Lost in Translation: Open-Source Adoption at Novartis |
Mark Baillie,
Orla Doyle |
source
presentation source |
6 |
| PHUSE EU |
2025 |
Modernising Clinical Data Science: Best Practices for a Unified, Governed SCE [presentation] |
Matthew Tendler |
source |
13 |
| PHUSE EU |
2025 |
Neither Magic Wand Nor Terminator: Finding the Sweet Spot in AI-Assisted Coding |
Josua Böser |
source
presentation source |
12 |
| PHUSE EU |
2025 |
Twice as Much Aint Twice as Good: Is Double Programming Really the Gold Standard We Think it Is? |
Vitali Gering |
source
presentation source |
6 |
| PHUSE EU |
2025 |
Why I can't see myself coding that much anymore |
Angelo Wibbeler |
source
presentation source |
11 |
| PharmaSUG |
2025 |
Achieving Reliable Data Verification with R: Proven Tools, Best Practices, and Innovative Workflows |
Valeria Duran,
Xuehan (Emily) Zhang |
source |
15 |
| PharmaSUG |
2025 |
Does SDTM Validation Really Require Double Programming? |
Sunil Kumar Gupta,
Tomás Sabat Stofsel |
source |
5 |
| PharmaSUG |
2025 |
Handling Health Regulatory Information Requests: Best Practices and Strategies |
Himanshu Patel,
Chintan Pandya |
source |
11 |
| PHUSE US |
2025 |
Efficient TFL Review within Statistical Programming - Using R and SAS |
Siddharth Kumar |
source
presentation source |
8 |
| PHUSE US |
2025 |
From Specification to CSR -- Toward a Unified Analysis and Review Platform |
Steve Ross |
source
presentation source |
7 |
| PHUSE US |
2025 |
Validated by Verisian: The Future of Quality Control and Validation in Clinical Trial Analyses |
Henning Kuich |
source
presentation source |
12 |
| PHUSE US |
2025 |
Verify: A First-in-Class Review and Validation Platform for Biometrics in Clinical Research |
Achinoam Ravet Perel |
source
presentation source |
3 |
| PHUSE EU |
2024 |
A way out of the PROC COMPARE labyrinth |
Judith Kanz |
source
poster source |
9 |
| PHUSE EU |
2024 |
Keynote Speaker - Maneesh Juneja [presentation] |
Maneesh Juneja |
source |
104 |
| PHUSE EU |
2024 |
SCE Alchemy: The Return of the QC Process, and Rise of Training via LLM |
Steve Griffiths,
Eleanor Sparling |
source
presentation source |
6 |
| PHUSE EU |
2024 |
Verify: Facilitating End-to-End Automation of Clinical Validation Processes Using AI Algorithms and Dynamic Collaboration |
Ilan Carmeli |
source
presentation source |
3 |
| WUSS |
2024 |
inspectoR: QC in R? No Problem! |
Steve Wade,
Sudhir Kedare |
source |
7 |
| WUSS |
2024 |
Leading with Impact: Building Stronger Programming Teams Through Effective Leadership and Collaboration |
Menaga Guruswamy Ponnupandy |
source |
6 |
| PharmaSUG |
2024 |
A Practical Approach to Automating SDTM Using a Metadata-Driven Method That Leverages CRF Specifications and SDTM Standards |
Xiangchen (Bob) Cui,
Min Chen,
Jessie Wang |
source |
23 |
| PharmaSUG |
2024 |
inspectoR: QC in R? No Problem! |
Steve Wade,
Sudhir Kedare,
Chen Yang,
Matthew Travell,
Jagan Mohan Achi |
source |
7 |
| PHUSE US |
2024 |
A Practical Approach to Automating SDTM Using a Metadata-Driven Method that Leverages eCRF Specifications and SDTM Programming Standards |
Xiangchen (Bob) Cui,
Min Chen |
source
presentation source |
12 |
| PHUSE US |
2024 |
Eliminating SDTM Double Programming by Using a Validation Tool and Dummy Data |
Glenn Borgmans,
Tine Seeuws |
source
presentation source |
8 |
| PHUSE US |
2024 |
How to Monitor SDTM Data Health |
Amanda Cross |
source
presentation source |
8 |
| PHUSE US |
2024 |
Optimizing Clinical Research: Using AI for Automated Validation of Output Tables against ADaM |
Steve Ross |
source
presentation source |
5 |
| PHUSE US |
2024 |
Ups, Downs, and FDA Crowns - Lessons Learned from BIMO Submission Adventures! [presentation] |
Sushant Thakare |
source |
21 |
| PHUSE EU |
2023 |
A Robust Framework to Provide and Validate Real-Time SDTM Data |
Bremer Louw |
source
presentation source |
11 |
| WUSS |
2023 |
Navigating SAS and CDISC Certification with Apprenticeship |
Sarvar Khamidov |
source |
7 |
| WUSS |
2023 |
Quality Control - Defining an Acceptable Quality Standard without Achieving Perfection |
Bill Coar |
source |
9 |
| PharmaSUG |
2023 |
Can We Do It Better? Real-Time Validation Of Sdtm Mapping Is Superior To Double Programming |
Daniel Rolo,
Bremer Louw |
source |
9 |
| PharmaSUG |
2023 |
Integrating Practices: How Statistical Programmers Differ and Align Within User Groups |
Valeria Duran,
Radhika Etikala,
Haimavati Rammohan |
source |
15 |
| PharmaSUG |
2023 |
Real World Evidence in Distributed Data Networks: Lessons from a Post-Marketing Safety Study |
Matthew T. Slaughter,
Denis Nyongesa,
John Dickerson,
Jennifer Kuntz |
source |
7 |
| PHUSE US |
2023 |
A TransCelerate Initiative: Paving the Way for the Adoption of Modernized Statistical Analytics [presentation] |
Nicholas Masel |
source |
12 |
| PHUSE US |
2023 |
Cybernated Validation of Clinical Reports (TLs) |
Giri Balasubramanian,
Gopinath Viswanathan |
source |
9 |
| PHUSE EU |
2022 |
R Shiny Apps: To QC or Not to QC? [presentation] |
Katie Withycombe |
source
video |
19 |
| PharmaSUG |
2022 |
The Emerging Use of Automation to Address the Challenge of Cross-Table Consistency Checking of Output Used in the Reporting of Clinical Trial Data |
Ilan Carmeli,
Keren Mayorov,
Hugh Donovan |
source |
6 |
| PHUSE US |
2022 |
R Got This! Delivering a Complete Statistical Package Using R [presentation] |
Alice Ehmann,
Michael S Rimler |
source
video |
10 |
| PHUSE EU |
2021 |
New Starters Session: The Secret Sauce to Start in Our Industry [presentation] |
Amritpal Singh,
Lucie Bowden |
source |
7 |
| PHUSE US |
2021 |
Data Science Presentations: DSc01: How Automation Using Machine Learning Technology Can Overcome the Limitations of Double Programming [presentation] |
Hugh Donovan,
Ilan Carmeli |
source |
18 |
| PHUSE US |
2021 |
Visual Programming for ADaM Derivation [presentation] |
Clara Beck,
Robert Adams |
source
video |
33 |
| PharmaSUG |
2021 |
A Process to Validate Internal Developed R Package under Regulatory Environment |
Madhusudhan Ginnaram,
Amin Shirazi,
Simiao Ye,
Yalin Zhu,
Yilong Zhang |
source |
7 |
| PharmaSUG |
2021 |
Bookdown and Blogdown: Using R packages to document and communicate new processes to Clinical Programming |
Benjamin Straub |
source |
11 |
| PharmaSUG |
2021 |
Only Get What You Need - To Simplify Analysis Data Validation Report from PROC COMPARE Output |
Wenjun He |
source |
12 |
| PHUSE EU |
2020 |
Leading Innovation and Change via Olympic Goals [presentation] |
Robin Koeger,
Ross Farrugia |
source
video |
14 |
| PharmaSUG |
2020 |
Ensuring Consistency Across CDISC Dataset Programming Processes |
Jennifer K. Fulton |
source |
10 |
| PHUSE US |
2020 |
Documentation, Applicability and Automation: How Best Practices Can Help You Achieve Best Results |
Aadesh Shah |
source
presentation source |
7 |
| PHUSE US |
2020 |
R Package Oriented Software Development Life Cycle in Regulated Clinical Trial Environments |
Rinki Jajoo,
Yalin Zhu |
source
presentation source |
12 |
| PHUSE US |
2020 |
Tables, Figures & Listings Metadata and Traceability |
Judith Goud,
Stephen Castellano |
source
presentation source |
9 |
| PHUSE EU |
2019 |
Don't cha wish your tracker was clean like mine? |
Anisa Jeetoo |
source
presentation source |
8 |
| PHUSE EU |
2019 |
How Metadata Can Help Drive the Creation of Tables, Figures and Listings |
Judith Goud,
Stephen Castellano |
source
presentation source |
9 |
| PHUSE EU |
2019 |
Quality Control and Validation - More Than Just PROC COMPARE |
Evgeny Starostin |
source
poster source |
7 |
| PharmaSUG |
2019 |
An Innovative Efficacy Table Programming to Automate Its Figure Generation to Ensure Both High Quality and Efficiency |
Xiangchen (Bob) Cui,
Letan (Cleo) Lin |
source |
23 |
| PharmaSUG |
2019 |
Begin with the End of Validation: Adapting QbD Approach in Statistical Programming to Achieve Quality and Compliance Excellence |
Linghui Zhang |
source |
8 |
| PharmaSUG |
2019 |
Integrating programming workflow into computing environments: A closer look |
Tyagrajan Swaminathan,
Sridhar Vijendra |
source |
11 |
| PHUSE US |
2019 |
Fitting Programming Processes into Workflows on Systems - Is the Square Peg in a Round Hole? |
Sridhar Vijendra,
Tyagrajan Swaminathan |
source
presentation source |
10 |
| PHUSE US |
2019 |
Metadata-driven Automation in Drug Research |
Hanming Tu,
Zhongping Lin |
source
presentation source |
13 |
| PHUSE US |
2019 |
Remotely Manage Your Team's Time and Tasks Efficiently |
Vara Prasad Reddy Sakampally |
source
presentation source |
5 |
| SCSUG |
2018 |
Automated Validation of Complex Clinical Trials Made Easy |
Richann J. Watson |
source |
35 |
| PHUSE EU |
2018 |
Access Rights Management and Version Control in an Independent Programming Environment |
Christian Sachara,
Anke Grohl |
source
presentation source |
6 |
| PHUSE EU |
2018 |
Program Validation - Care for a Black Sheep |
Andrea Weber |
source
poster source |
8 |
| PHUSE US |
2018 |
Cue the Word - QC - All You Need to Know! |
Subha Jamburajan,
Nancy Haeusser |
source
presentation source |
6 |
| PHUSE US |
2018 |
Upholding Ethics and Integrity: A macro-based approach to detect plagiarism in programming |
Sridhar Vijendra,
Praveen Kumar |
source
presentation source |
7 |
| PharmaSUG |
2018 |
A Linux shell script to automatically compare results of statistical analyses |
Chen Wang,
Shu Zan,
Joshua Conrad |
source |
9 |
| PharmaSUG |
2018 |
Automated Validation of Complex Clinical Trials Made Easy |
Richann J. Watson,
Joshua M. Horstman |
source |
35 |
| PharmaSUG |
2018 |
Risk-based Validation in Clinical Trial Reporting: Focus on What Matters Most |
Amber Randall,
William Coar |
source |
10 |
| SESUG |
2017 |
Automated Validation of Complex Clinical Trials Made Easy |
Richann J. Watson |
source |
35 |
| PHUSE EU |
2017 |
Streamline SDTM Development and QC |
Stephen Gormley |
source
presentation source |
9 |
| MWSUG |
2017 |
Automated Validation of Complex Clinical Trials Made Easy |
Richann J. Watson,
Joshua M. Horstman |
|
35 |
| WUSS |
2017 |
Automated Validation of Complex Clinical Trials Made Easy |
Richann J. Watson,
Joshua M. Horstman |
source |
34 |
| PharmaSUG |
2017 |
Data Integrity: One step before SDTM |
Pavan Kathula,
Sonal Torawane |
source |
9 |
| PharmaSUG |
2017 |
Data Monitoring Committee Report Programming: Considering a Risk-Based Approach to Quality Control |
Amber Randall,
Bill Coar |
source |
9 |
| SGF |
2017 |
Quality Control Programming: A Lost Art? |
Amber Randall,
Bill Coar |
source |
15 |
| SESUG |
2016 |
Are You Sure That Is Correct?: An Overview Of Good Practices For Dataset And Output Validation |
Gregory Weller |
source |
8 |
| PHUSE EU |
2016 |
Fast and High-quality Validation Process |
Andrea Parodi,
Dimitri Petratchenko |
source
presentation source |
7 |
| PHUSE EU |
2016 |
The Data Detective: Hints and Tips for Independent Programming QC |
Bethan Thomas |
source |
11 |
| PHUSE EU |
2016 |
What Auditors Want |
Angelo Tinazzi,
Cédric Marchand |
source
presentation source |
8 |
| PharmaSUG |
2016 |
SDTM Automation with Standard CRF Pages |
Taylor Markway |
source |
10 |
| PHUSE EU |
2015 |
Independent Double Programming - Are We Doing the Right Thing? [presentation] |
Beate Hientszch |
source |
1 |
| PHUSE EU |
2015 |
The Rewarding (and Rocky) Road from SAS Applications Programmer to SAS Software Developer |
Jeffrey M. Abolafia,
Carrie Dundas-Lucca |
source
presentation source |
8 |
| PHUSE EU |
2014 |
Frequency Tables - Aspects to Consider |
Katja Glass |
source
presentation source |
10 |
| PharmaSUG |
2014 |
Evaluating the benefits of JMP for SAS programmers |
Xiaopeng Li,
Chun Feng,
Nancy Wang |
source |
9 |
| PharmaSUG |
2014 |
Process and Tools for Assessing Compliance with Standard Operating Procedures |
Ginger Redner,
Eunice Ndungu |
source |
10 |
| PharmaSUG |
2014 |
Validating Analysis Data Set without Double Programming - An Alternative Way to Validate the Analysis Data Set |
Linfeng Xu,
Christina Scienski |
source |
15 |
| NESUG |
2013 |
Using SAS Metadata as a Key Performance Indicator! |
Vincent J. Amoruccio |
|
11 |
| PharmaSUG |
2013 |
A Simple Approach to the Automated Unit Testing of Clinical SAS Macros |
Matthew Nizol |
source |
12 |
| PharmaSUG |
2013 |
LST in Comparison |
Sanket Kale,
Sajin Johnny |
source |
11 |
| PharmaSUG |
2013 |
Using Workflows and Metadata Information to Standardize Business Processes in Pharmaceutical Programming |
Peng Yang,
Wei Liu,
Julie A. Maddox |
source |
9 |
| PHUSE EU |
2012 |
Bootstrap Analysis Double-Independent Programming: Issues and Solutions |
Nils Penard |
source
presentation source |
10 |
| PHUSE EU |
2012 |
The Logic of a Programmer - A Case Study |
Julie Oates |
source
presentation source |
7 |
| PHUSE EU |
2012 |
Validation in Epidemiological Studies [presentation] |
Raimund Storb |
source |
24 |
| PharmaSUG CN |
2012 |
Rising to Excellence - How a China CRO Achieves International Standards [presentation] |
Helen Yin,
Minzhi Liu |
|
27 |
| PharmaSUG |
2012 |
Automation of Comparing ODS RTF Outputs in Batch using VBA and SAS |
Dongsun Cao |
source |
8 |
| PharmaSUG |
2012 |
Making a List, Checking it Twice: Efficient Production and Verification of Tables and Figures Using SAS |
Linda Collins,
Elizabeth Li |
source |
17 |
| PharmaSUG |
2011 |
Beyond Double Programming - SAS Programming By Design (PBD) with Soop |
Laiju Zhang |
source |
4 |
| PharmaSUG |
2011 |
Making a List, Checking it Twice (Part 1): Techniques for Specifying and Validating Analysis Datasets |
Elizabeth Li,
Linda Collins |
source |
8 |
| PHUSE EU |
2010 |
A Case Study in Using Unit Testing as a Method of Primary Validation |
Ross Farrugia |
source
presentation source |
12 |
| PHUSE EU |
2010 |
Back to the future |
Kristiina Puustusmaa |
source
poster source |
4 |
| PHUSE EU |
2010 |
Challenges of Clinical projects shared between Pharma Companies [presentation] |
Oliver LeConte |
source |
27 |
| PHUSE EU |
2010 |
Validation Strategies for Report Objects and Programs - Challenges and Obstacles in a Risk Based World |
Christoph Ziegler,
Beate Hientzsch |
source
presentation source |
12 |
| MWSUG |
2010 |
Comparing JMP and SAS for Validating Clinical Trials |
Sandra D. Schlotzhauer |
|
18 |
| PharmaSUG |
2010 |
Programming Validation: Perspectives and Strategies |
Parag Shiralkar |
|
4 |
| SGF |
2010 |
Establishing Consistent Programming for Pharmaceutical Safety Summarizations Using a DOW Loop |
Bradford J. Danner,
Steven R. Kirby |
source |
8 |
| PHUSE EU |
2009 |
Getting Your Point Across - Efficiency in QC Programming across Virtual Teams |
James Bidwell |
source |
4 |
| PharmaSUG |
2009 |
Establishing Consistent Programming for Pharmaceutical Safety Summarizations Using a DOW Loop |
Bradford J. Danner,
Steven R. Kirby |
|
8 |
| PHUSE EU |
2006 |
Why Safety Reporting IS like Rocket Science |
David J. Garbutt |
source |
3 |
| WUSS |
2006 |
Have It Both Ways: Macros that Produce Publication-Quality Tables and Stand-alone Code |
Linda Collins,
Lisa Kaye Brooks,
Michael Rea,
Alan Hopkins |
source |
19 |
| SCSUG |
2004 |
Just for the Kids School Reports: A data-oriented web site powered by SAS |
Bob Zambarano |
|
14 |
| SCSUG |
1994 |
Your Map to the Sea of GUIs: A Primer on Moving SAS Applications Across Graphical Operating Systems |
James D. Hefner |
|
7 |
| SUGI |
1994 |
This is a Fairy TaleNOT! A Primer on Moving SAS Applications Across Graphical Operating Systems |
James D. Hefner |
source |
6 |
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