| PharmaSUG |
2026 |
From SAP to CSR: A Metadata-Driven TFL Workflow |
|
source |
7 |
| PharmaSUG |
2026 |
Why Standards Matter More Than Code in the Age of GenAI |
|
source |
6 |
| PHUSE US |
2026 |
AI Code Generator: Automating TFL Programming with ARS Metadata |
Navin Dedhia |
source presentation source |
5 |
| PHUSE US |
2026 |
The AI Reckoning: Why Statistical Programmers Must Evolve Now |
|
source presentation source |
6 |
| PHUSE APAC |
2026 |
CDISC 360i In Action – Demonstrating the Shift to Fully Digital Standards [presentation] |
Darren Moreland, Julie Smiley, Peter Van Reusel |
source |
11 |
| PHUSE APAC |
2026 |
TFL Automation Through Design, Specify, Execute, and Report: A Seamless End-to-End Framework |
Malan Bosman |
source presentation source |
8 |
| PharmaSUG |
2025 |
Hands-on Training: eTFL Portal & TFL Designer Community |
|
source |
8 |
| PharmaSUG |
2025 |
Harnessing AI & CDISC ARS for Effortless Statistical Reporting & CSR Writing |
Navin Dedhia |
source |
10 |
| PharmaSUG |
2025 |
Towards an Integrated Submission-Ready Data Pipeline: Unifying Compliance, Automation, and Open-Source Innovation |
Shivani Gupta |
source |
5 |
| PHUSE US |
2025 |
Introducing TFL Viewer: A Centralised Platform for TFL Review, Collaboration and Approval |
|
source presentation source |
5 |
| PHUSE US |
2025 |
Selecting GeARS: Analysis Results Standard Implementation Options for Accelerated Analysis and TFL Automation |
Richard Marshall |
source presentation source |
10 |
| PHUSE US |
2025 |
The Development of the CDISC eTFL Portal To Support the Adoption and Implementation of the Analysis Result Standard |
Bess LeRoy |
source presentation source |
8 |
| PHUSE EU |
2024 |
Driving Efficiency and Automation in TFL Generation: A Case Study of Establishing an Oncology TFL Library and Analysis Results Metadata Repository [poster] |
Salil Parab |
source |
1 |
| PHUSE EU |
2024 |
The Development of the CDISC eTFL Portal to Support the Adoption and Implementation of the Analysis Results Standard |
Bess LeRoy |
source presentation source |
8 |
| PHUSE US |
2024 |
Getting Started with the New CDISC Analysis Results Standard |
Bess LeRoy, Richard Marshall |
source presentation source |
4 |
| PHUSE US |
2024 |
TFL Designer: Automating Tables, Figures and Listings Design and Generation for Analysis Results [presentation] |
Navin Dedhia |
source |
10 |
| PHUSE EU |
2023 |
TFL Designer: Automating Tables, Figures and Listings Design and Generation for Clinical Trial Analysis [presentation] |
|
source |
10 |
| PharmaSUG |
2023 |
All You Need to Know about the New CDISC Analysis Results Standards! |
Richard Marshall, Bess LeRoy |
source |
7 |
| PharmaSUG |
2023 |
Introducing TFL Designer: Community Solution to Automate Development of Mock-up Shells and Analysis Results Metadata [presentation] |
Navin Dedhia |
source |
13 |
| PHUSE US |
2023 |
Pre-launching CDISC Analysis Results Standards [presentation] |
Bess LeRoy |
source video |
23 |
| PHUSE US |
2022 |
CDISC Analysis Results Standards - Approach and Development Update [presentation] |
Bess LeRoy, Jeffrey M. Abolafia |
source |
18 |
| PharmaSUG |
2019 |
Interactive TLFs - A Smarter Way to Review your Statistical Outputs |
|
source |
5 |
| PharmaSUG |
2019 |
Non-Clinical (SEND) Reference Guide for Clinical (SDTM) Programmers |
Dharmendra Tirumalasetti |
source |
6 |
| PharmaSUG |
2019 |
Vendor's Guide to Consistent, Reliable, and Timely CDISC Deliverables |
Dharmendra Tirumalasetti, Santosh Reddy Lekkala |
source |
5 |
| PHUSE US |
2019 |
Best Practices for the Preparation of the ISS/ISE Datasets [poster] |
Aatiya Zaidi |
source |
1 |
| PHUSE US |
2019 |
Expectations and Collaboration - Recipe for Successful CDISC Deliverables! |
Santosh Reddy Lekkala |
source presentation source |
4 |
| PHUSE US |
2019 |
Visualizing Oncology Data Through Interactive Dashboards |
Vikram Chanduri |
source presentation source |
5 |
| PHUSE US |
2018 |
BIMO Listings - Check That Off Your NDA To-Do List |
Charanjit Kahlon |
source |
7 |
| PHUSE US |
2018 |
Building Dashboards for Real-time Insights into Clinical Data |
Siddartha Kondapally |
source |
6 |
| PHUSE US |
2018 |
Lead Programmer Needs Help: Dedicated Programming Project Manager to the Rescue! |
Smitha Nathan |
source |
5 |
| PHUSE US |
2018 |
Want Submission-Ready Datasets Package from the Get-Go? |
Kishore Pothuri |
source |
7 |
| PharmaSUG |
2018 |
Insights to Meticulous Clean Patient Tracking via Analytics |
Siddartha Kondapally, Kishore Pothuri |
source |
4 |
| PharmaSUG |
2018 |
Programmer's Guide for OSI Deliverables - Creation of Site Level Summary Dataset and Automation of BIMO Listins Generation |
Charanjit Kahlon, Kristie Kooken, Dharmendra Tirumalasetti |
source |
10 |
| PharmaSUG |
2018 |
The Changing Clinical Data Analytics Landscape - Visualization & Beyond |
Siddartha Kondapally, Kishore Pothuri |
source |
6 |
| PharmaSUG |
2018 |
Want Submission-Ready Datasets Package from the Get-Go? |
Kishore Pothuri |
source |
8 |
| PharmaSUG |
2017 |
Lead Programmer Needs Help: Dedicated Programming Project Manager to the Rescue! |
Gloria Boye, Aparna Poona |
source |
7 |
| PharmaSUG |
2017 |
Quality Check your CDISC Data Submission Folder Before It Is Too Late! |
|
source |
9 |
| PharmaSUG |
2016 |
Building Efficiency and Quality in SDTM Development Cycle |
Kishore Pothuri |
source |
6 |
| PharmaSUG |
2016 |
Consider Define.xml Generation during Development of CDISC Dataset Mapping Specifications |
Vara Prasad Reddy Sakampally |
source |
6 |
| PharmaSUG |
2016 |
Importance of Niche Provider for Successful NDA Submission: Rescue Case Study |
Aparna Poona, Tim Southwick |
source |
9 |
| PharmaSUG |
2010 |
In-Depth Review of Validation Tools to Check Compliance of CDISC SDTM-Ready Clinical Datasets |
Kimberly Lindfield |
|
52 |
| PharmaSUG |
2010 |
In-Depth Review of Validation Tools to Check Compliance of CDISC SDTM-Ready Clinical Datasets |
Kimberly Lindfield |
|
8 |
| PharmaSUG |
2008 |
Validating CDISC SDTM-Compliant Submission-Ready Clinical Datasets with an In-House SAS Macro-Based Solution |
Sheila Vince, Jameelah Aziz |
|
12 |