| PharmaSUG |
2026 |
Beyond WHODrug: Insight into Concomitant Medication Data Analysis |
Song Liu, Martin Nielsen, Rambabu Sura |
source |
9 |
| PharmaSUG |
2026 |
Harmonizing History: A Framework for Deriving Line of Therapy in Complex Integrated Summaries. |
Bhargav Koduru, Kavitha Guddam, Santosh Reddy Lekkala |
source |
15 |
| PHUSE US |
2026 |
Balancing Privacy and Utility with Smart Anonymisation [presentation] |
Zach Weingarden |
source |
13 |
| PHUSE US |
2026 |
Interactive Patient Profiles in R Shiny: Enhancing Narrative Review in Clinical Studies |
Danny Hsu, Tzu-Chien Chuang |
source poster source |
4 |
| PHUSE US |
2026 |
Multiple Sclerosis Trials Unpacked: Standards, Endpoints and Programming Experience |
Daryna Teteriuk |
source presentation source |
12 |
| PHUSE EU |
2025 |
SI Add More MSG to Your Annotations [presentation] |
Davy Baele, Nicolas Deravet |
source |
19 |
| PharmaSUG |
2025 |
Which ADaM Data Structure Is Most Appropriate? Gray Areas in BDS and OCCDS. |
Veronica Gonzalez |
source |
15 |
| PHUSE US |
2025 |
Accelerating Patient Safety with Knowledge Graphs: Lessons from a Successful Implementation |
Partha Bhattacharjee, Kirti Aggarwal |
source presentation source |
10 |
| PHUSE US |
2025 |
Considerations for the Submission of RWD using CDISC with Insights from HL7 FHIR and OMOP |
Ingeborg Holt, Sarah Ferko, Jeffrey M. Abolafia |
source presentation source |
15 |
| PHUSE US |
2025 |
Harnessing the Power of R Shiny in a GxP-Compliant and Validated Manner for Clinical Trial Use |
Sanyogeeta Andhale, Shilpa Sood |
source presentation source |
13 |
| PHUSE US |
2025 |
Optimising AI Software for Automated Protection of Personal and Commercially Sensitive Data |
Honz Slipka |
source poster source |
7 |
| PHUSE EU |
2024 |
Guidance Beyond the SDTM Implementation Guide |
Kristin Kelly |
source presentation source |
10 |
| PHUSE EU |
2024 |
Perl Regular Expressions in SDTM and ADaM Programming: Live Study Examples |
Pavol Valovic |
source presentation source |
7 |
| PHUSE EU |
2024 |
Pre ADSL - Revolutionise Your ADaM Workflow |
Korak Datta, Taniya Chatterjee |
source presentation source |
8 |
| PharmaSUG |
2024 |
Advancing the Maturation of Standardized CRF Design |
Sugumaran Muthuraj, Rubha Raghu |
source |
9 |
| PharmaSUG |
2024 |
Bridging AI and Clinical Research: A New Era of Data Management with ChatGPT |
Illia Skliar |
source |
12 |
| PharmaSUG |
2024 |
Guidance Beyond the SDTM Implementation Guide |
Kristin Kelly, Michael Beers |
source |
11 |
| PHUSE US |
2024 |
Beyond the Hype: A Pragmatic Approach to Leveraging AI/ML for Data Review |
Robert Musterer |
source presentation source |
10 |
| PHUSE US |
2024 |
Codeless Queries: Harnessing AI to Translate Clinical Trial Questions into Custom Listings Through Intuitive UI Interactions |
Aditya Gadiko |
source presentation source |
7 |
| PHUSE US |
2024 |
Guidance Beyond the SDTM Implementation Guide |
Michael Beers, Blue Bell |
source presentation source |
10 |
| PHUSE EU |
2023 |
How Can Python Be Used in Clinical Trials? |
Andrés Käsa, Matt Davies, Pierre Dostie |
source presentation source |
21 |
| PharmaSUG |
2023 |
Have Meaningful Relationships: An Example of Implementing SDTM Special Purpose Data Set RELREC with a Many-to-Many Relationship |
Kaleigh Ragan, Richann J. Watson |
source |
11 |
| PharmaSUG |
2023 |
Patient's Journey using Real World Data and its Advanced Analytics |
Kevin Lee |
source |
4 |
| PHUSE US |
2023 |
Beyond k-anonymity for Clinical Trial Data Anonymisation [presentation] |
Parvee Kumar, Diwakar Angra |
source video |
17 |
| PHUSE EU |
2022 |
Patient Narratives - Speeding Up Narrative Generation Using ODS Document Stores |
Neville Cope |
source presentation source |
14 |
| PHUSE US |
2022 |
Using AI-based Technology to Accelerate Clinical Trial Data Sharing and Reuse [presentation] |
Ron Kaine, Thomasin Element |
source video |
33 |
| PHUSE EU |
2021 |
CDISC Analysis Results Standard Team: Enhancing Analysis Results and Traceability [presentation] |
Bess LeRoy, Jeffrey M. Abolafia |
source video |
41 |
| PHUSE EU |
2021 |
Engineering an MDR of the Future [presentation] |
Ali Dootson, Mike Grove |
source video |
19 |
| PHUSE EU |
2021 |
Navigating the Evolving Regulations for Health Canada [presentation] |
Gina Bennet |
source video |
20 |
| PHUSE EU |
2021 |
Transforming Reporting - A Journey into Web Technology for Listing Generation [presentation] |
Joseph Rowley, Kartik Rajan |
source video |
23 |
| PHUSE US |
2021 |
CSR Narratives Automation [presentation] |
Ritesh Dhimmar |
source video |
23 |
| PHUSE US |
2021 |
Using Natural Language Processing to Create Subject Safety Narratives [presentation] |
Frank Meloni, Tim Willittes |
source video |
8 |
| PHUSE EU |
2020 |
Advancing SDTM Annotation Through Automation [presentation] |
Anja Kreis, Wolfgang Rohnert |
source video |
20 |
| PHUSE EU |
2020 |
Novel eCRF Study Template to Support Adaptive Design Studies in Medidata Rave [presentation] |
Nele Claes, Ray Lacchman |
source video |
29 |
| PHUSE EU |
2020 |
The TransCelerate Hackathon: Accelerating Development [presentation] |
Johannes Ulander |
source video |
26 |
| PharmaSUG |
2020 |
Natural History Study - A Gateway to Treat Rare Disease |
Tabassum Ambia |
source |
5 |
| PharmaSUG |
2020 |
Untangling the Subject Elements Domain |
Christine McNichol |
source |
8 |
| PharmaSUG |
2020 |
Updates in SDTM IG V3.3: What Belongs Where - Practical Examples |
Lucas Du, William Paget, Lingyun Chen, Todd Case |
source |
8 |
| PharmaSUG |
2020 |
Why Are There So Many ADaM Documents, and How Do I Know Which to Use? |
Sandra Minjoe |
source |
10 |
| PHUSE US |
2020 |
Adverse Event and Treatment Emergent Approaches in the Industry |
Aimee Basile |
source poster source |
11 |
| PHUSE US |
2020 |
Untangling the Subject Elements Domain |
Christine McNichol |
source presentation source |
7 |
| PHUSE EU |
2019 |
Stuck in a Rut? |
Prakash Mistry |
source poster source |
9 |
| SGF |
2019 |
Predicting Patients at High Risk of Hospital-Acquired Conditions Using the LOGISTIC Procedure |
Jennifer Hargrove, Pamela Hipp, Glenn Sidle |
source |
12 |
| PHUSE US |
2019 |
DR3 - A Tool to Create Define-XML (SDTM/ADaM with ARM) [presentation] |
Eric Weising |
source |
7 |
| PHUSE EU |
2018 |
CDISC Standards: Creating Clarity Out of Confusion [presentation] |
Kit Howard |
source |
20 |
| PHUSE EU |
2018 |
Serious Adverse Events Identification: A Machine Learning Approach [presentation] |
Jingshu Liu, Laura Katz |
source |
37 |
| PHUSE EU |
2018 |
Stop Copying CDISC Standards |
Craig Parry |
source poster source |
21 |
| PHUSE EU |
2018 |
Text as Data in the Context of Anonymising Clinical Study Reports |
Lukas Kniola, Tim Perin |
source presentation source |
12 |
| PHUSE US |
2018 |
Cue the Word - QC - All You Need to Know! |
Subha Jamburajan, Nancy Haeusser |
source presentation source |
6 |
| PharmaSUG |
2018 |
Core and Extension studies - Challenges and solutions towards SDTM submission |
Murali Marneni |
source |
6 |
| PharmaSUG |
2018 |
Report Compatibility: System to evaluate your code against volatile sources. |
Joseph Cooney, Randy Santiano, Craig Brelage |
source |
12 |
| PharmaSUG |
2018 |
Summary Table for Displaying Results of a Logistic Regression Analysis |
Lori S. Parsons |
source |
9 |
| SESUG |
2017 |
Challenges and Solutions for Handling Re - screened Subjects in SDTM |
Charity Quick, Paul Nguyen |
source |
6 |
| SESUG |
2017 |
Statistician's secret weapon: 20 ways of detecting raw data issues |
Lixiang Larry Liu |
source |
8 |
| SESUG |
2017 |
Using SAS to Proactively Monitor Drug Alerts: Implementing the URAC "Drug-Drug Interactions" Measure for a Specialty Pharmacy |
Karen E. Wallace |
source |
8 |
| PHUSE EU |
2017 |
Clinical Study Oversight: Different Approaches to Using Data Standards |
Jasmine Kestermont, Peter Van Reusel |
source presentation source |
6 |
| PHUSE EU |
2017 |
Metadata-driven Tool for Creation of a Dataset for Exploratory Analyses |
Alexey Kuznetsov |
source presentation source |
7 |
| PHUSE EU |
2017 |
SDTM Domains by Query - is it Possible? |
Johannes Ulander |
source presentation source |
8 |
| PHUSE EU |
2017 |
Use of Fast Healthcare Interoperability Resources (FHIR) in the Generation of Real-World Evidence |
Trisha Simpson, Regina Zopf |
source presentation source |
12 |
| PHUSE EU |
2017 |
Visualizing and Cleaning Unsolicited Safety Data (ICSRs) Using R in Aiding Causality Assessment |
Sheik Akhil, Krishna Asvalaya |
source presentation source |
6 |
| WUSS |
2017 |
Using SAS to Proactively Monitor Drug Alerts: Implementing the URAC "Drug-Drug Interactions" Measure for a Specialty Pharmacy |
Karen E. Wallace |
source |
8 |
| PharmaSUG |
2017 |
A Guide To Programming Patient Narratives |
Renuka Tammisetti, Karthika Bhavadas |
source |
6 |
| PharmaSUG |
2017 |
Statistician's secret weapon: 20 ways of detecting raw data issues |
Lixiang Larry Liu |
source |
8 |
| SESUG |
2016 |
SDTM What? ADaM Who? A Programmer's Introduction to CDISC |
Venita DePuy |
source |
9 |
| PHUSE EU |
2016 |
Assessing CDISC Therapeutic Area User Guides in a Machine Readable Format |
Johannes Ulander, Niels Both |
source presentation source |
4 |
| PHUSE EU |
2016 |
Use of Fast Healthcare Interoperability Resources (FHIR) in the Generation of Real World Evidence (RWE) |
Regina Zopf, Jeffrey M. Abolafia, Bhargava Reddy |
source presentation source |
12 |
| PharmaSUG |
2016 |
AE: An Essential Part of Safety Summary Table Creation |
Rucha Landge |
source |
12 |
| PharmaSUG |
2016 |
Associated Persons Domains - Who? What? Where? When? Why? How? |
Alyssa M. Wittle, Michael Stackhouse |
source |
6 |
| PharmaSUG |
2016 |
Automating Patient Narratives - The Medical Writer Loves Me! |
Scott Burroughs |
source |
7 |
| PharmaSUG |
2016 |
Efficient Safety Assessment in Clinical Trials using the Computer-generated AE Narratives of JMP Clinical |
Richard C. Zink, Drew Foglia |
source |
13 |
| PharmaSUG |
2016 |
Prepare for Re-entry: Challenges and Solutions for Handling Re-screened Subjects in SDTM |
Charity Quick, Paul Nguyen |
source |
5 |
| PharmaSUG |
2016 |
The Power of Perl Regular Expressions: Processing Dataset-XML documents back to SAS Data Sets |
Joseph W. Hinson |
source |
9 |
| PHUSE EU |
2015 |
Therapeutic Area Standards and their Impact on Current SDTM Implementations |
Johannes Ulander, Niels Both |
source presentation source |
6 |
| PharmaSUG CN |
2015 |
Hands-On ADaM ADAE Development |
Sandra Minjoe |
|
7 |
| PharmaSUG |
2015 |
It Depends On Your Analysis Need |
Sandra Minjoe |
source |
10 |
| PharmaSUG |
2015 |
Proc STREAM: The Perfect Tool For Creating Patient Narratives |
Joseph W. Hinson |
source |
12 |
| PharmaSUG |
2015 |
Statistical Review and Validation of Patient Narratives |
Indrani Sarkar, Bradford J. Danner |
source |
5 |
| SESUG |
2014 |
SDTM What? ADaM Who? A Programmer's Introduction to CDISC |
Venita DePuy |
source |
9 |
| PHUSE EU |
2014 |
ADaM Standards: What's New? |
Gavin Winpenny |
source presentation source |
9 |
| PHUSE EU |
2014 |
Challenges with the Interpretation of CDIOSC - Who Can We Trust? |
Linda Palm Simonsson |
source presentation source |
10 |
| PHUSE EU |
2014 |
Considerations in Creating Transparent SDTM-Based Datasets |
Jerry Salyers, Richard Lewis |
source presentation source |
8 |
| PHUSE EU |
2014 |
Data Transparency: Data De-identification and the Role of the Programmer [presentation] |
Jean-Marc Ferran |
source |
20 |
| PHUSE EU |
2014 |
Standards Driven Innovation [presentation] |
Frederik Malfait |
source |
36 |
| MWSUG |
2014 |
Jack of all Listings, A New Approach for Review of Clinical Data |
Hardik Panchal |
|
15 |
| PharmaSUG |
2014 |
Hands-On ADaM ADAE Development |
Sandra Minjoe, Kimberly Minkalis |
source |
7 |
| NESUG |
2013 |
The ADaM Solutions to Non-endpoints Analyses |
Chengxin Li |
|
12 |
| PharmaSUG |
2013 |
Hands-On ADaM ADAE Development |
Sandra Minjoe |
source |
7 |
| PharmaSUG |
2013 |
Pretty Please?! Making RTF Output "Pretty" with SAS |
Carol Matthews, Elena Kalchenko |
source |
10 |
| PharmaSUG |
2013 |
Taking a Census in Utero: An Introduction to Pregnancy Registries with an Emphasis on Identifying Multiple Gestations |
Britney D. Gilbert |
source |
8 |
| SGF |
2013 |
Using the ADaM ADAE Structure for Non-AE Data |
Mario Widel, Sandra Minjoe |
source |
13 |
| PHUSE EU |
2012 |
Interpreting ADaM Standards with OpenCDISC |
Trupti Bal, Madhura Paranjape |
source presentation source |
8 |
| SESUG |
2012 |
Developing a Complete Picture of Patient Safety in Clinical Trials |
Richard C. Zink, Russell D. Wolfinger |
source |
5 |
| SESUG |
2012 |
Diverse Report Generation With PROC REPORT |
Diverse Report Generation |
source |
6 |
| MWSUG |
2012 |
Programmed Assisted Patient Narratives (PANs) with New SAS ODS and Graphical Approaches |
Faye Yeh, Melvin S. Munsaka |
|
12 |
| WUSS |
2012 |
Modular processing for Prep-to-research anaylsis - interfacing XML SAS and Microsoft Excel |
David Tabano |
source |
16 |
| PharmaSUG |
2012 |
Accessing Microsoft Excel Workbook Cell Attributes from within SAS v9 |
Timothy J. Harrington |
source |
9 |
| PharmaSUG |
2012 |
Diverse Report Generation With PROC REPORT |
Chris Speck |
source |
6 |
| PharmaSUG |
2012 |
Supplementing Programmed Assisted Patient Narratives (PANs) with Graphs Using SAS |
Faye Yeh, Melvin S. Munsaka |
source |
12 |
| PHUSE EU |
2011 |
Three Unique Case Studies - On the Trail of the Holy Grail of SDTM Implementation |
Kenneth Stoltzfus |
source presentation source |
6 |
| NESUG |
2011 |
Generating Define.xml |
Sandeep Kottam, Uma Sarath Annapareddy, Sree Lakshmi Kalyani Tripuraneni |
|
20 |
| NESUG |
2011 |
Product Repository: Oblectives and Utilization - A Case Study |
Amit Bhanose, Smitha Mullapudi |
|
5 |
| PharmaSUG |
2011 |
Analytical Methods for Post-Marketing Safety Surveillance |
Annette Stemhagen, Juliane K. Mills |
source |
3 |
| PharmaSUG |
2011 |
From SAP to BDS: The Nuts and Bolts |
Nancy Brucken, Paul K. Slagle |
source |
9 |
| PharmaSUG |
2011 |
The Illusion of Good Data, or How Not to Think of a Blue Elephant |
Kim Truett |
source |
6 |
| NESUG |
2010 |
Producing Listings and Reports Using SAS and Crystal Reports |
Krishna (Balakrishna) Dandamudi |
|
18 |
| PharmaSUG |
2010 |
CDASH Standards for Medical Device Trials: CRF Analysis |
Parag Shiralkar, Jennie Tedrow, Kit Howard, Laura Fazio, Daniela Luzi, Rhonda Facile |
|
8 |
| MWSUG |
2009 |
Dietary Glycemic Load and Risk of Colon Cancer: A Guide to Data Management |
Svetlana Zelenskiy, Lauren Byrne, Cheryl L. Thompson, Thomas C. Tucker, David Bruckman, Li Li |
|
16 |
| NESUG |
2009 |
A Practical Introduction to implementing the Clinical Data Acquisition Standards Harmonization (CDASH) standards |
Jennifer Price |
|
7 |
| NESUG |
2009 |
Tips of Using Proc Report For Summary Tables And Listings |
Jenny H. Zhang |
|
6 |
| PharmaSUG |
2009 |
A Practical Introduction to Clinical Data Acquisition Standards Harmonization (CDASH) |
Jennifer Price |
|
5 |
| PharmaSUG |
2009 |
Converting the define.xml to a Relational Database to Enable Printing and Validation [presentation] |
Lex Jansen |
|
76 |
| PHUSE EU |
2008 |
A Graphical Approach to Examine the Completeness of Epidemiological Data: Patient Profile Plots (PPPs) and Centre Profile Plots (CPPs) |
Methodios Typou, Joseph Kim |
source |
14 |
| PHUSE EU |
2008 |
Automated Drug Safety Signal Detection with Guided Ana |
Eric C. Brinsfield, David Olaleye |
source |
7 |
| PharmaSUG |
2008 |
%CHCKFRQS - A Macro Application for Generating Frequencies for QC and Simple Reports |
John Iwaniszek, Natalie Walker, Laura Lovette |
|
8 |
| PharmaSUG |
2008 |
Experiences Submitting CDISC SDTM and Janus Compliant Datasets |
Carol Vaughn, Gregory Ridge, William Friggle |
|
10 |
| NESUG |
2007 |
Producing Listings and Reports Using SAS and Crystal Reports |
Krishna (Balakrishna) Dandamudi |
|
18 |
| PharmaSUG |
2007 |
Automatic Creation of Analysis Datasets for Clinical Trials - A Macro Program |
John H. Adams |
|
17 |
| PharmaSUG |
2007 |
Combining ODS Output Datasets to Increase Program Clarity and Reduce Macro Load |
Rod Norman |
|
7 |
| PHUSE EU |
2006 |
Statistical Graphics and Reporting in Drug Development |
Michael O'Connell, Sven Knudsen |
source |
13 |
| SESUG |
2006 |
A Relational Understanding of SDTM Tables |
John R. Gerlach |
source |
10 |
| NESUG |
2006 |
Using PROC CDISC |
Chauthi Nguyen |
|
5 |
| PHUSE EU |
2005 |
Understanding the Japanese culture and approval process |
Richard Harvey |
source |
10 |
| PharmaSUG |
2005 |
%PREFTAB - A macro to automatically create adverse event, medical history and concomitant medication tables |
Wilfried Esken |
|
11 |
| PharmaSUG |
2005 |
Programming and Data Differences Between Clinical Trials and Observational Studies |
Margaret M. Coughlin |
|
6 |
| PharmaSUG |
2004 |
Use That SAP to Write Your Code |
Sandra Minjoe |
|
9 |
| NESUG |
2003 |
Date/Time Stamped Files and Audit Trails: What Part 11 Compliant SAS Systems are Made Of |
Carolyn Dougherty |
|
11 |
| SEUGI |
2003 |
Drug Approval, making the best treatments available safely, but quickly - using SAS at the heart of generic reporting systems. [presentation] |
Jonathan Chainey, Rob Horton |
source |
25 |
| SEUGI |
2000 |
Creating PDF Documents including hyper-links, bookmarks and a table of contents with the SAS Software [presentation] |
Lex Jansen |
source |
39 |
| SUGI |
1998 |
Individual Summaries: Bigger Needles in Smaller Haystacks |
Joel J. Gruenke |
source |
5 |
| SEUGI |
1997 |
Data Mining and SAS/SPECTRAVIEW software: a case study |
Annie Postic, Bengt Bengtsson |
source |
36 |
| MWSUG |
1996 |
A Macro to Estimate Morbidity Indices |
Laurel A. Panser, Janice R. Offord, James M. Naessens, Mary E. Campion, Sherine E. Gabriel |
|
8 |
| SUGI |
1993 |
Using the SAS System in the Pharmaceutical Industry: Project Setup and Standardization for the Analysis of Clinical Trial Data. |
Cam Huffman, Carl Arneson, John Horton, John Henry King |
source |
5 |
| SUGI |
1990 |
Using SAS/AF Program Screens to Create a Program Manager/ Document Producer for Data Editing |
Robin L. Wright, Charles W. Kish Jr., Wayne M. Cannon, Chris Bullard, David Martinez |
source |
6 |
| SUGI |
1984 |
THECIS-The Clinical Information System |
Judith A. Burns, Leon T. Hairie, Thomas R. Hoffman |
source |
6 |