| PHUSE US |
2026 |
Optimising Trial Design Dataset Creation To Minimise P21 Compliance Issues |
Rama Kudaravalli |
source presentation source |
6 |
| PHUSE EU |
2025 |
The Show Must Go On: Best Practices for Submitting SDTM Data for Ongoing Studies |
Kristin Kelly |
source presentation source |
8 |
| PharmaSUG |
2025 |
The Show Must Go On: Best Practices for Submitting SDTM Data for Ongoing Studies |
Kristin Kelly |
source |
9 |
| PHUSE US |
2025 |
The Show Must Go On: Best Practices for Submitting SDTM Data for Ongoing Studies |
Kristin Kelly |
source presentation source |
8 |
| PHUSE US |
2025 |
Using Large Language Models for Consistency Checking of Tables, Listings and Graphs |
Yingying Wei |
source presentation source |
7 |
| PharmaSUG |
2024 |
A Programmer-s Insight into an Alternative to TQT Study Data Submission |
Hiba Najeeb, Raghavender Ranga |
source |
7 |
| PharmaSUG |
2024 |
Submitting Patient-Reported Outcome Data in Cancer Clinical Trials - Guidance for Industry Technical Specifications Document [presentation] |
Flora Mulkey |
source |
48 |
| PHUSE US |
2024 |
ICH M11 Clinical Electronic Structured Harmonised Protocol (CeSHarP) and CDISC: Making the Electronic Protocol a Reality [presentation] |
Peter Van Reusel |
source |
33 |
| PHUSE EU |
2023 |
ICH M11 Clinical Electronic Structured Harmonized Protocol (CeSHarP) and CDISC: Making the Electronic Protocol a Reality [presentation] |
John Owen, Peter Van Reusel |
source |
33 |
| PharmaSUG |
2023 |
'TUFF' LOVE: SDTM Pain Points Explained! |
Kristin Kelly, Michael Beers |
source |
12 |
| PharmaSUG |
2023 |
Integrated Trial Design Model Datasets? |
Christine McNichol |
source |
9 |
| PHUSE US |
2023 |
Enabling the Digital Data Flow from eProtocol to Downstream Processes [presentation] |
Berber Snoeijer, Kumar Patel |
source video |
13 |
| PHUSE US |
2023 |
Making Define-XML Work for You: Considerations in Supporting a Full Schema Implementation [presentation] |
Carlo Radovsky |
source |
50 |
| PHUSE EU |
2022 |
Using Individual-level Real-world Data to Inform Disease Area Data Models Employed for Clinical Trial Simulation and Design [presentation] |
Sheila McCartan |
source video |
41 |
| PHUSE US |
2022 |
FDA Study Data Technical Rejection Criteria (TRC): What You Need to Know! [presentation] |
Jiang Xu, Lina Cong |
source video |
26 |
| PHUSE US |
2022 |
Trial Design Datasets in Oncology Clinical Trials [presentation] |
Anastasiia Drach |
source video |
23 |
| PHUSE US |
2022 |
Trial Summary SDTM Domain Made Easy for Regulatory Submissions [presentation] |
Kishore Pothuri |
source |
16 |
| PHUSE US |
2021 |
FDA & PMDA Validator Rules - What, Why and How ... But Should You Care? [presentation] |
Charanjit Kahlon, Kishore Pothuri |
source video |
21 |
| PHUSE US |
2021 |
FDA Conformance Analysis and Upcoming Implementation of Technical Rejection Criteria for Study Data [presentation] |
Ethan Chen, Heather Crandall |
source |
36 |
| PHUSE US |
2021 |
Generating .xpt files with SAS, R and Python [presentation] |
Todd Case |
source video |
22 |
| PharmaSUG |
2021 |
FDA Study Data Technical Rejection Update [presentation] |
Ethan Chen |
source |
36 |
| PharmaSUG |
2021 |
Generating .xpt files with SAS, R and Python |
YuTing Tian, Todd Case |
source |
11 |
| SGF |
2021 |
Generating .xpt files with SAS, R and Python |
Todd Case |
source |
11 |
| PHUSE EU |
2020 |
Getting It Right: Refinement of SEND Validation Rules [presentation] |
Kristin Kelly |
source video |
29 |
| PHUSE EU |
2020 |
Poster PP03 |
Roman Radelicki |
source video poster source |
8 |
| PHUSE EU |
2020 |
SDTM Trial Summary Domain Puzzle: Are These the Right Pieces? [presentation] |
Kristin Kelly |
source video |
24 |
| PharmaSUG |
2020 |
Data Review: What's Not Included in Pinnacle 21? |
Jinit Mistry, Lyma Faroz, Hao Meng |
source |
7 |
| PharmaSUG |
2020 |
Ensuring Consistency Across CDISC Dataset Programming Processes |
Jennifer K. Fulton |
source |
10 |
| PHUSE US |
2020 |
A Case Study: Data Transparency of Clinical Trial Data |
Sherry Meeh |
source presentation source |
8 |
| PHUSE US |
2020 |
CDISC Library Try-out: From Implementation to Evaluation of the API |
Roman Radelicki |
source presentation source |
9 |
| PHUSE US |
2020 |
Confusing Data Validation Rules Explained, Part 2 |
Michael Beers, Blue Bell |
source |
6 |
| PHUSE US |
2020 |
Creating a Simplified TS Domain Using the R Shiny App |
Hanming Tu |
source presentation source |
11 |
| PHUSE EU |
2019 |
Automated Review of Metadata Standards, Data Checks and Trend Visualisation |
Giuseppe Di Monaco |
source presentation source |
9 |
| PHUSE EU |
2019 |
TS does not mean T(o) S(uffer) - A hands-on guideline for a better understanding of the TS domain |
Kristina Zweier |
source presentation source |
14 |
| PharmaSUG |
2019 |
Do-It-Yourself CDISC! A Case Study of Westat's Successful Implementation of CDISC Standards on a Fixed Budget |
Richard M. Mitchell, Rachel Brown, Jennifer K. Fulton, Stephen Black, Marie Byrd Alexander |
source |
6 |
| PharmaSUG |
2019 |
The Need for Therapeutic Area User Guide Implementation |
Michael Beers |
source |
8 |
| PHUSE US |
2019 |
CDISC Doesn't Tell You What to Collect But Regulators Do! |
Diane Wold |
source presentation source |
4 |
| PHUSE US |
2019 |
The Need for Therapeutic Area User Guide Implementation |
Michael Beers |
source presentation source |
7 |
| PHUSE US |
2018 |
Qualitative Analysis of Actual SEND Datasets for Trial Design Domains [poster] |
G. Sato |
source |
1 |
| PHUSE US |
2018 |
SDTM and SEND: An Integrated View and Approach |
Veena Nataraj, Cheryl Riel |
source presentation source |
11 |
| PharmaSUG |
2018 |
Trial Summary: The Golden Gate towards a Successful Submission |
Bhargav Koduru, Girish Kankipati |
source |
9 |
| PHUSE EU |
2017 |
End-to-End Traceability from Protocol Development to Submission |
Mikkel Traun, Trine Danø Klingberg |
source presentation source |
3 |
| PharmaSUG |
2017 |
Building a Fast Track for CDISC: Practical Ways to Support Consistent, Fast and Efficient SDTM Delivery |
Steven R. Kirby, Mario Widel, Richard Addy |
source |
14 |
| PharmaSUG |
2017 |
Considerations in Submitting Standardized Electronic Data Under the Animal Rule: The Use of Domains in the SDTMIG and the SENDIG |
Fred Wood |
source |
7 |
| PharmaSUG |
2017 |
Quality Check your CDISC Data Submission Folder Before It Is Too Late! |
Bhavin Busa |
source |
9 |
| PharmaSUG |
2016 |
SDTM Metadata: The Output is only as Good as the Input |
Sue Sullivan |
source |
9 |
| PharmaSUG |
2016 |
SDTM Trial Summary Domain: Putting Together the TS Puzzle |
Kristin Kelly, Jerry Salyers, Fred Wood |
source |
13 |
| PharmaSUG |
2016 |
The Standard for the Exchange of Nonclinical Data (SEND): History, Basics, and Comparisons with Clinical Data |
Fred Wood |
source |
10 |
| PharmaSUG |
2016 |
Tips and tricks when developing Trial Design Model Specifications that provide Reductions in Creation time |
Ruth Marisol Rivera Barragan |
source |
10 |
| PharmaSUG |
2015 |
Summing up - SDTM Trial Summary Domain |
Yi Liu, Jenny Erskine, Stephen Read |
source |
9 |
| PharmaSUG |
2014 |
Considerations in Creating SDTM Trial Design Datasets |
Jerry Salyers, Richard Lewis, Kimberly Minkalis, Fred Wood |
source |
9 |
| PHUSE EU |
2013 |
The Evolution of SDTM - What's New |
Tina Apers |
source presentation source |
5 |
| SESUG |
2011 |
Resolving OpenCDISC Error Messages Using SAS |
John R. Gerlach |
source |
11 |
| PharmaSUG |
2011 |
Trials and Tribulations of SDTM Trial Design |
Fred Wood, Mary Lenzen |
source |
5 |
| PharmaSUG |
2011 |
Validating Controlled Terminology in SDTM Domains |
John R. Gerlach |
source |
12 |
| WUSS |
2009 |
The CDISC Study Data Tabulation Model (SDTM): History, Perspective, and Basics |
Fred Wood |
source |
9 |
| PHUSE EU |
2005 |
Visions of a Drug Development Data Warehouse |
Paul Vervuren |
source |
7 |
| SESUG |
2004 |
Taking it Home and Putting it into Practice |
Diane Cunningham |
source |
8 |