| PharmaSUG |
2026 |
Traceability in Real World trials - just an aERD away. |
Ashwini Yermal Shanbhogue |
source |
7 |
| PHUSE EU |
2025 |
How to map lab data into the LB domain and ADLB |
Bert Parmet |
source poster source |
6 |
| PharmaSUG |
2025 |
Data management and biostatistics synergy: how to achieve and what can be expected |
Diana Avetisian |
source |
11 |
| PHUSE US |
2025 |
Automating your safety data reconciliation: An approach towards reliable and efficient SAE reconciliation process |
Ritu Dogra |
source presentation source |
11 |
| PHUSE US |
2025 |
Data Transformation: Achieving Compliance with Irregular Data |
Reyes Eduardo Elizalde Duarte |
source presentation source |
6 |
| PHUSE US |
2025 |
Enhancing Clinical Trial Data Queries with LLMs and Neo4j: A Flexible Framework for ADaM Dataset Management |
Jaime Yan |
source presentation source |
28 |
| PHUSE US |
2025 |
eProtocol and the Promise of Automation |
Bill Qubeck, Suhas Giriraj |
source presentation source |
17 |
| PHUSE US |
2025 |
Innovative Data Cleaning to Prevent Unblinding Errors in Double-Blind Trials |
Ling Zhang, Nan Zhou |
source presentation source |
4 |
| PHUSE US |
2025 |
Wearable Technology: Enhancing Patient Monitoring and Real-World Evidence |
Bill Qubeck, Sridhar Vijendra |
source presentation source |
15 |
| PHUSE EU |
2024 |
Enhancing Quality of External Data |
Pascale Youinou |
source presentation source |
6 |
| PharmaSUG |
2024 |
Game changer! The new CDISC ADaM domain ADNCA for PK/PD data analysis |
Santosh Ranjan |
source |
7 |
| PHUSE US |
2024 |
Digital Protocol Vision ... How Digital Information Can Transform and Automate Our Processes [presentation] |
Bill Qubeck, Chris Decker |
source |
27 |
| PHUSE EU |
2023 |
Data Managers and R Programming: The Unlikely Pair |
Anaelle Perretti (Bonetta) |
source presentation source |
9 |
| PHUSE US |
2023 |
Reviewing External Vendor Data Transfer Specifications from a Programming Standpoint |
Mahesh Minnakanti |
source presentation source |
5 |
| PHUSE EU |
2022 |
Clinical Data Standards and Production of SDTMs. Are We Missing Important Points? [presentation] |
Eva Stigson, Paulina Kuczkowska |
source |
15 |
| PHUSE EU |
2021 |
iListing - Get More Out of Listings [presentation] |
Katja Glass |
source video |
37 |
| PHUSE EU |
2021 |
Standing Room Only: RW08: The Convenient Structure of the OMOP CDM [presentation] |
George Allerston, Khaleeq Mannan |
source |
20 |
| PHUSE US |
2021 |
AI Powered Decision Support Systems with Wearable Sensors for Remote Patient Monitoring in Clinical Trials [poster] |
Surabhi Dutta |
source |
1 |
| PHUSE US |
2021 |
Standing Room Only Presentation: DH02: On the Other Side of the Fence: When Two Skill Areas Join Forces and Boundaries Dissolve [presentation] |
Mette Krogh Beyer, Stine Ross |
source |
15 |
| PharmaSUG |
2021 |
BIMO SAS Macros and Programming Tools |
Mi Young Kwon, Rohit Kamath |
source |
12 |
| PharmaSUG |
2020 |
Clinical Database Metadata Quality Control: Two Approaches using SAS and Python |
Craig Chin, Lawrence Madziwa |
source |
16 |
| PharmaSUG |
2020 |
Preparing a Successful BIMO Data Package |
Elizabeth Li, Carl Chesbrough, Inka Leprince |
source |
20 |
| PHUSE US |
2020 |
A Programmer's Journey through the BIMO Submission Process |
Raghavender Ranga |
source presentation source |
12 |
| PHUSE US |
2020 |
Adverse Event and Treatment Emergent Approaches in the Industry |
Aimee Basile |
source poster source |
11 |
| PHUSE US |
2020 |
Natural Language Processing for Enhanced Treatment Decision |
Phani Ponnapalli, Subrahmanyam Rayaprolu |
source presentation source |
10 |
| PHUSE EU |
2019 |
Semi Auto-generated Narratives |
Bjarke Klein |
source presentation source |
7 |
| PHUSE EU |
2019 |
Using R Shiny to Create an Interactive Visualisation Patient Profile |
Elva Chen, Brian Munneke |
source presentation source |
8 |
| PharmaSUG |
2019 |
The Anatomy of Clinical Trials Data: A Beginner's Guide |
Venky Chakravarthy |
source |
14 |
| PHUSE EU |
2018 |
Handling CRF Design Changes in a Live Environment |
Andre Snelting, Nieke De Ruiter |
source presentation source |
10 |
| 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 |
Identification of New Information in a Data Based on a Data Point Level |
Eric Kammer, Thomas Binnen |
source presentation source |
3 |
| PHUSE US |
2018 |
SDTM: It is Not all Black and White |
Swapna Pothula, Roman Radelicki |
source |
7 |
| PHUSE US |
2018 |
Secure Data Office: An Independent Team that Can Come to the Rescue in Blinded Trials |
Annelies Van Zeveren, Yana Hoorne |
source presentation source |
9 |
| PharmaSUG |
2018 |
Automate Clinical Trial Data Issue Checking and Tracking |
Krishna Avula, Dale LeSueur |
source |
5 |
| PharmaSUG |
2018 |
Preventing premature unblinding in PK/PD related studies |
Debbie Sisco, Alice Zong |
source |
11 |
| PharmaSUG |
2018 |
Second Primary Malignancy (SPM) Analyses in a Disease Registry Study |
Jane Lu, Shankar Srinivasan, Robert Knight |
source |
6 |
| SGF |
2018 |
Automation of Clinical Trial Result Posting to ClinicalTrials.gov and EudraCT |
Sherry Meeh |
source |
9 |
| SGF |
2018 |
The Anatomy of Clinical Trials Data: A Beginner's Guide |
Venky Chakravarthy |
source |
14 |
| PHUSE EU |
2017 |
KeyDAN: a Clinical Data De-identification Solution |
Stéphane Chollet |
source presentation source |
4 |
| PHUSE EU |
2017 |
The Secure Data Office Concept |
Annemie Van Dijck |
source presentation source |
9 |
| PharmaSUG |
2017 |
Clinical and Vendor Database Harmony; Can-t we all just get along? |
Brian Armstrong, Renee Kerwin |
source |
9 |
| PHUSE EU |
2016 |
Integrating the New EMA Requirements on Public Disclosure in the Study Conduct [presentation] |
Jean-Marc Ferran |
source |
20 |
| SGF |
2016 |
An Efficient Algorithm in SAS to Reconcile Two Different Serious Adverse Event (SAE) Data Sources |
Zhou Hui |
source |
7 |
| PHUSE EU |
2015 |
CodEX - When Excel Meets SAS to Code Clinical Data |
Stéphane Chollet, Cathy Scoupe |
source presentation source |
8 |
| PharmaSUG |
2015 |
The Disposition Table: Make it Easy |
Endri Endri, Benedikt Trenggono |
source |
10 |
| PharmaSUG |
2015 |
Use of SAS Reports for External Vendor Data Reconciliation |
Soujanya Konda |
source |
12 |
| PHUSE EU |
2014 |
From ODM to SDTM: An End-to-End Approach Applied to Phase I Clinical Trials |
Alexandre Mathis |
source presentation source |
5 |
| PHUSE EU |
2014 |
Implementation of Oncology Specific SDTM Domains |
Jacintha Eben |
source presentation source |
8 |
| PharmaSUG |
2014 |
Linking Healthcare Claims and Electronic Health Records (EHR) for Patient Management - Diabetes Case Study |
Paul A. LaBrec |
source |
17 |
| SGF |
2014 |
Converting Clinical Database to SDTM: The SAS Implementation |
Hong Chen |
source |
5 |
| PHUSE EU |
2013 |
EDC Integration [presentation] |
Rob Jongen |
source |
21 |
| PHUSE EU |
2013 |
Supporting End to End Standards in Study Setup |
Anna Louise Wilson |
source presentation source |
5 |
| PHUSE EU |
2013 |
The Great Outdoors - (Using SAS External File and SAS File 1/0 Functions) [presentation] |
Lawrence Heaton-Wright |
source |
25 |
| NESUG |
2013 |
Merging SAS Programming Groups: Phased-in Approach |
Margaret M. Coughlin, Alfredo Rojas |
|
5 |
| PharmaSUG |
2013 |
A Simple Approach to the Automated Unit Testing of Clinical SAS Macros |
Matthew Nizol |
source |
12 |
| PharmaSUG |
2013 |
Be a Dead Cert for a SAS Cert: How to prepare for the most important SAS Certifications in the Pharmaceutical Industry |
Hannes Engberg Raeder |
source |
10 |
| PharmaSUG |
2013 |
Managing 21 CFR Part 11 Compliance: Using Checksums on Opens Systems |
Carey G. Smoak, Mario Widel |
source |
8 |
| PharmaSUG |
2013 |
SDTM Harmonization in the Absence of CDASH - A Modularized Approach to Domain Programming |
Annie S. Guo |
source |
12 |
| SGF |
2013 |
Running SAS Programs Using Skype |
Romain Miralles |
source |
6 |
| PHUSE EU |
2012 |
Spotting DILI for FDA Submission |
Nicola Tambascia, Sven Greiner |
source presentation source |
7 |
| PharmaSUG |
2012 |
Using Skype to run SAS programs |
Romain Miralles |
source |
6 |
| PHUSE EU |
2011 |
FDA CDER Common Data Standards Issues: Evolution of SDTM Submission Standards |
Peter Van Reusel, Tina Apers |
source presentation source |
3 |
| PharmaSUG |
2011 |
An Excel Framework to Convert Clinical Data to CDISC SDTM Leveraging SAS Technology |
Sophie McCallum, Stephen Chan |
source |
12 |
| WUSS |
2010 |
An Excel Framework to Convert Clinical Data to CDISC SDTM Leveraging SAS Technology |
Ale Gicqueau |
source |
12 |
| PHUSE EU |
2010 |
Clinetics Data Merge - A Platform for Exchange of Pharmacokinetic Data |
Ralf Schefer-Pregi, Andreas Schwarzer |
source presentation source |
5 |
| PHUSE EU |
2010 |
Electronic transfer of sAE to Global Pharmacovigilance |
Eva Bervar |
source presentation source |
5 |
| PHUSE EU |
2010 |
Modeling and Simulation: challenges for the clinical programmer and for the group leader [presentation] |
Vincent Buchheit |
source |
18 |
| PHUSE EU |
2010 |
Traceability between SDTM and ADaM converted analysis datasets |
Florence Somers, Michael Knoessl |
source presentation source |
7 |
| PharmaSUG |
2010 |
Evolving role of statistical SAS programmers in the pharmaceutical industry |
Venkata Sekhar Bhamidipati, Haiping Zhou |
|
5 |
| PharmaSUG |
2010 |
Smart Programming and SAE Reconciliation |
Haibin Shu, Ronen Mansuri, Maggie Ci Jiang |
|
3 |
| PharmaSUG |
2010 |
Utilizing SAS to Dynamically Generate Clinical Trial Data Transformation Programs |
Clark Peirce, Johnny Johnson |
|
7 |
| PHUSE EU |
2009 |
Building and maintaining a clinical data warehouse - challenges and opportunities for pharmaceutical programmers [presentation] |
Juergen Kuebler |
source |
15 |
| PHUSE EU |
2009 |
Clinical Database acceptance: what statistical review checks are necessary to validate a database? |
Genevieve Jehl |
source |
12 |
| PharmaSUG |
2009 |
Oracle Clinical for SAS Programmers |
Kevin Lee |
|
8 |
| WUSS |
2008 |
Using SAS/AF for Managing Clinical Data |
Wynn Zheng |
source |
14 |
| PHUSE EU |
2008 |
Improving the Quality of Data |
Ester Schoeman |
source |
7 |
| SGF |
2008 |
Oracle Clinical for SAS Programmers |
Kevin Lee |
source |
8 |
| NESUG |
2007 |
Oracle Clinical for the SAS Programmer |
Kevin Lee |
|
9 |
| PHUSE EU |
2007 |
Clinical Research Information Management... |
David Handelsman |
source |
8 |
| PHUSE EU |
2007 |
Having your cake & eating it: extracting data and attrib from OC |
John Hendrickx |
source |
17 |
| PHUSE EU |
2007 |
LSLV to Final CSR Tables in 24 hours - Dream or Reality? |
Stinder Fowler |
source |
10 |
| PHUSE EU |
2007 |
PK data file(s) creation process |
Ann Cuijpers, Hilde Wuyts |
source |
3 |
| PharmaSUG |
2007 |
A Scalable Platform For Clinical Trials - Interoperability And Automation In A Web-Based Environment |
John R. Gerlach, Maulik Shah |
|
11 |
| PharmaSUG |
2007 |
Managing the CRO Relationship to Effectively Request and Receive CDISC STDM and ADaM Deliverables |
Kenneth Eng, David C. Izard, Terek J. Peterson |
|
8 |
| SESUG |
2006 |
Data Mining of Dental Information |
Christiana Petrou |
source |
7 |
| WUSS |
2006 |
An Approach Finding the Right Tolerance Level for Clinical Data Acceptance |
Karen Walker |
source |
5 |
| PharmaSUG |
2006 |
De-Identification of Clinical Trials Data Demystified |
Jack Shostak |
|
12 |
| PHUSE EU |
2005 |
CLIREV - A friendly and flexible Clinical Data Review Tool |
Angelo Tinazzi |
source |
6 |
| PHUSE EU |
2005 |
Customer oriented CDISC implementation |
Edelbert Arnold, Ulrike Plank |
source poster source |
13 |
| PharmaSUG |
2005 |
An Approach Finding the Right Tolerance Level for Clinical Data Acceptance |
Karen Walker |
|
6 |
| NESUG |
2004 |
Clinical Trial Data Validation: Using PROC SQL Effectively |
Balakrishna Dandamudi |
|
20 |
| NESUG |
2004 |
Extracting Data from Oracle into SAS - Lessons Learned |
Maria Y. Reiss |
|
12 |
| PNWSUG |
2004 |
Extracting Data from Oracle into SAS - Lessons Learned |
Maria Y. Reiss |
|
12 |
| PharmaSUG |
2004 |
A SAS Macro for Rapid Identification of Missing Data Records |
Kim Truett |
|
7 |
| PharmaSUG |
2004 |
Automating the Documentation of Oracle Clinical Database Specifications |
Kyle McBride |
|
9 |
| PharmaSUG |
2003 |
Use of Text Miner to Automatically Abstract Patient Information from the Pharmacy Order Database |
Patricia B. Cerrito, Antonio Badia, John C. Cerrito, James A. Cox |
|
6 |
| SUGI |
2003 |
Why SAS is the Best Place to Put Your Clinical Data |
Steven A. Wilson |
source |
6 |
| PharmaSUG |
2002 |
Serology Inventory System |
Mariya Charny |
|
8 |
| NESUG |
2001 |
Using SAS/Warehouse Administrator., Enterprise Guide., and Enterprise Reporter. to Manage and Access a Clinical Data Warehouse |
Theresa J. Kelso |
|
3 |
| SUGI |
2001 |
Data Modeling in Clinical Data Analysis Projects |
Gajanan Bhat |
source |
6 |
| NESUG |
2000 |
Clinical Trial Laboratory Data Management using the SAS System |
Marianne Hack |
|
5 |
| PharmaSUG |
2000 |
Data Modeling in Clinical Data Analysis Projects |
Gajanan Bhat |
|
3 |
| NESUG |
1999 |
Are We Done Yet? Tracking Your Data Management Process with SAS Software |
Daphne E. Ewing, Barbara McLaughlin |
|
4 |
| SEUGI |
1999 |
Clinical processes and SAS/PH-Clinical, a good marriage? [presentation] |
Patrick Genyn |
source |
24 |
| SEUGI |
1999 |
Developing a SAS data management system using FRAME technology [presentation] |
David Smith, Sandy Meek |
source |
33 |
| SEUGI |
1998 |
Knowledge Discovery and Data Mining on the Example of Clinical Databases |
Leon Bobrowski, Magdalena Topczewska |
source |
6 |
| WUSS |
1997 |
Using SAS as a Clinical Data Repository |
Carl R. Haske |
source |
6 |
| SEUGI |
1997 |
Point-and-click data validation using SAS/AF software |
Leif Puddefoot |
source |
9 |
| PharmaSUG |
1997 |
A SAS/AF Class Library for Automated Generation of Clinical Report Programs |
Carl R. Haske |
|
7 |
| PharmaSUG |
1997 |
Clinical Software Systems Development in SAS/AF |
Carl R. Haske |
|
11 |
| SUGI |
1997 |
Using SAS/AF for Managing Clinical Data |
Carl R. Haske |
source |
6 |
| SESUG |
1996 |
Developing Clinical Software Systems in SAS/AF |
Carl R. Haske |
|
10 |
| MWSUG |
1996 |
Clinical Data Management Using SAS/AF |
Carl R. Haske |
|
8 |
| SUGI |
1996 |
An Integrated Clinical Data Management System in SAS |
Carl R. Haske |
source |
6 |
| SUGI |
1996 |
Choosing an Application Development Tool for Your CANDA |
Barry R. Cohen |
source |
8 |
| NESUG |
1995 |
The Choice of SAS Software as the Application Development Tool for Your CANDA |
Barry R. Cohen |
|
9 |
| SUGI |
1995 |
Database Specifications and Data Dictionary System |
Ala Majid Sweidan, Bernd Doetzkies |
source |
4 |
| SEUGI |
1991 |
Developing Reporting Systems for Clinical Trials in the Pharmaceutical Industry |
David J. Shannon, Mark Baillet |
source |
12 |
| SEUGI |
1990 |
SAS Software Version 6.06, Beta-test under VMS - 4 Months User Experience |
Stephen J. Burman |
source |
6 |
| SEUGI |
1989 |
Design And Implementation Of Clinical Data Management Applications On A PC Network |
Mark Crawford |
source |
12 |
| SUGI |
1988 |
Integration of ORACLE and the SAS System in the Generation of Adverse Experience Reports |
Chih-Wu Chang, Edward F.C. Pun |
source |
5 |