| PharmaSUG |
2026 |
An Experience Using R, SASSY and Tidyverse For Clinical Trial Analysis, From A SAS Programmer Perspective |
David W. Franklin |
source |
27 |
| PharmaSUG |
2026 |
Closing the Loop: Validating AI-Generated SDTM Mappings using CDISC CORE and Synthetic Data |
Pietro Belligoli, Constantin Weberpals, Yarhy Flores Lopez |
source |
7 |
| PharmaSUG |
2026 |
Virtual Data, Real Standards: Leveraging Data Simulation for Smarter Clinical Trials |
Sangeeta Shabadi, Nitesh Patil, Jonathan Henshaw |
source |
16 |
| PHUSE US |
2026 |
Data Harmonisation for ISS and ISE: A Practical Checklist for Integration Success |
Qiong Wei, Lily Cheng |
source presentation source |
10 |
| PHUSE US |
2026 |
Incorporating Digital Health Technology (DHT) Data in SDTM - Challenges and Examples |
Swarupa Sudini, Sandra VanPelt Nguyen |
source poster source |
7 |
| PHUSE US |
2026 |
Integrated Summary of Safety (ISS) Demystified: Practical Considerations for a Successful ISS |
Ji Qi, Lily Cheng |
source presentation source |
8 |
| PHUSE US |
2026 |
Safety at a Glance: Enhancing Participant Monitoring in Oncology Trials with Data Visualisation |
Agnieszka Bel |
source presentation source |
10 |
| SESUG |
2025 |
Perfect Patient Profiles in SAS using ODS and the Graph Template Language (GTL) |
Joshua M. Horstman, Richann J. Watson |
|
38 |
| PharmaSUG |
2025 |
Advanced Programming with R: Leveraging Tidyverse and Admiral for ADaM Dataset Creation with a Comparison to SAS |
Joshua J. Cook, Richann J. Watson |
source |
20 |
| PharmaSUG |
2025 |
Name That ADaM Dataset Structure |
Nancy Brucken |
source |
8 |
| 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 |
End-to-End Therapeutic Area Data Standards Development and Governance - A Case Study Involving CRS and ICANS |
Yaling Teng |
source presentation source |
7 |
| PHUSE US |
2025 |
Interactive Dashboards - Empowering Clinicians to Generate Reports Instantly |
Inderjeet Arora |
source presentation source |
8 |
| PHUSE EU |
2024 |
Harmonising FDA and PMDA Submission Requirements |
Luca Semeraro |
source presentation source |
12 |
| PharmaSUG CN |
2024 |
CDASH-SDTM Combo Model in SDTM Automation |
Chunpeng CZ Zhao |
source |
11 |
| PharmaSUG |
2024 |
aCRF Copilot: Pioneering AI/ML Assisted CRF Annotation for Enhanced Clinical Data Management Efficiency |
Chaitanya Pradeep Repaka, Santhosh Karra |
source |
7 |
| PharmaSUG |
2024 |
An Introduction to the SAS Transpose Procedure and its Options |
Timothy J. Harrington |
source |
14 |
| PharmaSUG |
2024 |
Bridging AI and Clinical Research: A New Era of Data Management with ChatGPT |
Illia Skliar |
source |
12 |
| PHUSE US |
2024 |
My Data Are Too Good to Be True! Should I Worry About Fraud or Sloppiness? |
Johann Proeve |
source presentation source |
9 |
| PHUSE EU |
2023 |
Patient Profiles v2.0: Easy and Quick Clinical Trial Insights in Tableau |
Roman Radelicki, Annelies Van Zeveren |
source presentation source |
6 |
| PHUSE US |
2023 |
Practical Application of Multiple Screenings/Enrollments |
Martha O'Brien, Proma Debnath |
source presentation source |
4 |
| PHUSE US |
2023 |
SDTM Mapping Recommendation Engine - Acorn [presentation] |
Rohan Parmar, Harshit Manektalia |
source video |
32 |
| PHUSE EU |
2022 |
Finding Anomalies and Outliers in Clinical Trial Time Series Data |
Pekka Tiikkainen |
source presentation source |
6 |
| PHUSE EU |
2022 |
The Development of CDISC Biomedical Concepts: Update and Next Steps [presentation] |
Bess LeRoy |
source video |
35 |
| WUSS |
2022 |
Quick Jumpstart into Pharmaceutical SAS Programming |
Jim Box, Matthew J. Becker |
source |
7 |
| PHUSE US |
2022 |
Using odmlib to Create ODM and Define-XML Tools in Python |
Samuel Hume |
source presentation source |
6 |
| PHUSE US |
2021 |
CSR Narratives Automation [presentation] |
Ritesh Dhimmar |
source video |
23 |
| PHUSE US |
2021 |
How Will Knowledge Graphs Improve Clinical Reporting Workflows? [presentation] |
Alexey Kuznetsov, Jorine Putter |
source |
9 |
| PHUSE US |
2021 |
Protocols on FHIR - Exchanging Study Designs with EHR Systems [presentation] |
Andy Richardson, Geoffrey Low |
source video |
24 |
| PHUSE US |
2021 |
Visualizations to Support DSMB Monitoring [presentation] |
Derek Coombs |
source video |
14 |
| PharmaSUG |
2021 |
An efficient method to review annotation and create bookmark for case report form (acrf.pdf) using SAS program, FDF files, excel and Javascript in Acrobat |
Chen-Jung Wu |
source |
12 |
| PharmaSUG |
2021 |
Biomedical Concepts - An Emerging CDISC Data Standard: A Stepwise Approach for Building a Library of Data Definitions |
Kirsten Langendorf, Johannes Ulander |
source |
15 |
| PharmaSUG |
2021 |
Generating FDA-ready Submission Datasets directly from EHRs |
Jozef Aerts |
source |
9 |
| PHUSE EU |
2020 |
Catch Them When You Can ... Fix Them [presentation] |
Anna Panasenko |
source video |
23 |
| 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 Good? The Bad? Or the Ugly? CDISC eSubmission Packages in Practice [presentation] |
Artur Krupa |
source video |
26 |
| PharmaSUG |
2020 |
A SAS Macro for Dynamic Assignment of Page Numbers |
Manohar Modem, Bhavana Bommisetty |
source |
10 |
| PharmaSUG |
2020 |
Transpose Procedure: Turning it Around Again |
Janet E. Stuelpner |
source |
8 |
| PHUSE US |
2020 |
Quarterly Safety Reporting: Timely Analysis of Clinical Safety Data Using Qlik Sense Software |
Yvonne Denkins |
source presentation source |
8 |
| PHUSE US |
2020 |
The JumpStart Traceability Assessment |
Tejas Patel, Sarah Ferkov |
source |
10 |
| PHUSE US |
2020 |
Titles Are a Programmer's Best Friend |
Gregory Nunn |
source poster source |
5 |
| PHUSE EU |
2019 |
A Data-driven and cost-effective approach towards Risk Based Monitoring |
Vineet Jain |
source presentation source |
7 |
| PHUSE EU |
2019 |
Challenges Involved with Using Legacy Clinical Trial Study Data During Integration |
Adebola Opasanya |
source poster source |
8 |
| PHUSE EU |
2019 |
Use of FHIR in Clinical Research: From Electronic Medical Records to Analysis |
Jeffrey M. Abolafia, Priya Gopal, Samuel Hume |
source presentation source |
12 |
| PHUSE US |
2019 |
An Open Clinical Data Quality Framework |
Vineet Jain |
source presentation source |
11 |
| PHUSE US |
2019 |
Don't Let Your Data Handle You: A Novel Approach to Clinical Programming |
Jorine Putter |
source presentation source |
10 |
| PHUSE US |
2019 |
Formedix On: Advanced Metadata Management Now With Data! [presentation] |
Kevin Burges, Steven Benham |
source |
45 |
| PHUSE US |
2019 |
Managing Complexity Towards Submission |
Johannes Ulander |
source presentation source |
26 |
| PHUSE US |
2019 |
Send 3.1: Giving Your Submission a 'Vital' Upgrade |
Megan Bausman, Mikayla Simons |
source presentation source |
6 |
| PHUSE US |
2019 |
Use of FHIR in Clinical Research: From Electronic Medical Records to Analysis |
Priya Gopal |
source presentation source |
12 |
| PHUSE EU |
2018 |
Easing Your Pain with Biomedical Concepts |
Kirsten Langendorf |
source presentation source |
12 |
| PHUSE EU |
2018 |
How Machine Learning Can Automate Data Standardization in Clinical Trials [presentation] |
Fanyi Zhang |
source |
16 |
| PHUSE EU |
2018 |
Please Put Your Data in an Upright Position - Or How to Tackle Verticalisation |
Kristina Zweier |
source presentation source |
9 |
| PHUSE EU |
2018 |
Turning Fantasy into Reality - Creating Custom Data Visualisations for Future Reporting |
James Diserens |
source presentation source |
11 |
| PHUSE EU |
2018 |
Use of HL7 FHIR as eSource to Pre-populate CDASH Case Report Forms Using a CDISC ODM API |
Samuel Hume, Geoff Low |
source presentation source |
12 |
| MWSUG |
2018 |
An Update on the CS Standard Analyses and Code Sharing Working Group |
Nancy Brucken, Jared Slain |
|
4 |
| PHUSE US |
2018 |
Adverse Event Analysis - One step forward! |
Anuja Rasal |
source presentation source |
11 |
| PHUSE US |
2018 |
Easing Your Pain with Biomedical Concepts |
Kirsten Langendorf |
source presentation source |
13 |
| PHUSE US |
2018 |
Transforming Clinical Trials with Linked Data |
Tim P. Williams, Armando Oliva |
source presentation source |
9 |
| PharmaSUG |
2018 |
Advanced Visualization using TIBCO Spotfire and SAS |
Ajay Gupta |
source |
14 |
| PharmaSUG |
2018 |
Building Simulated CRF Data for Study Mock-Ups |
Ashley Kesler, Hisham Madi, Jonathan W. Duggins, James E. Blum |
source |
10 |
| SGF |
2018 |
Navigating through Code with the DATA Step Debugger |
Mina Chen |
source |
13 |
| SESUG |
2017 |
Clinical Data Visualization using TIBCO Spotfire and SAS |
Ajay Gupta |
source |
12 |
| SESUG |
2017 |
Streamlining ADaM Dataset Specifications |
Hunter Vega |
source |
6 |
| SESUG |
2017 |
Timing Variables In Clinical Trials: Avoiding Common Mistakes And Dealing With Unforeseen Issues |
Gregory Weller |
source |
4 |
| PHUSE EU |
2017 |
Helping The Define.xml User |
David Iberson-Hurst |
source presentation source |
12 |
| PHUSE EU |
2017 |
Robust Study Database Build: An Effective Start Towards Creation of Quality SDTMs |
Onkar Tajarekar |
source presentation source |
9 |
| PHUSE EU |
2017 |
The Art of Data Visualization: DetectingMultivariate Data Outliers Using an Interactive Approach |
Diane Peers |
source presentation source |
9 |
| 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 |
| WUSS |
2017 |
A Critique of Implementing the Submission Data Tabulation Model (SDTM) for Drugs and Medical Devices |
Carey G. Smoak |
source |
16 |
| PharmaSUG CN |
2017 |
Constructive Practice of Generating ADaM Datasets |
Amos Shu |
|
7 |
| PharmaSUG |
2017 |
A Critique of Implementing the Submission Data Tabulation Model (SDTM) for Drugs and Medical Devices |
Carey G. Smoak |
source |
16 |
| PharmaSUG |
2017 |
Clinical Data Visualization using TIBCO Spotfire and SAS |
Ajay Gupta |
source |
12 |
| SGF |
2017 |
A Critique of Implementing the Study Data Tabulation Model (SDTM) for Drugs and Medical Devices |
Carey G. Smoak |
source |
16 |
| SESUG |
2016 |
Are You Sure That Is Correct?: An Overview Of Good Practices For Dataset And Output Validation |
Gregory Weller |
source |
8 |
| SESUG |
2016 |
Dynamically Setting Decimal Precision Using PUTN |
Brandon L. Welch |
source |
6 |
| SESUG |
2016 |
SDTM What? ADaM Who? A Programmer's Introduction to CDISC |
Venita DePuy |
source |
9 |
| 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 |
| MWSUG |
2016 |
Array of Sunshine: Casting Light on Basic Array Processing |
Nancy Brucken |
|
5 |
| PharmaSUG |
2016 |
Array of Sunshine: Casting Light on Basic Array Processing |
Nancy Brucken |
source |
5 |
| PharmaSUG |
2016 |
Efficient Safety Assessment in Clinical Trials using the Computer-generated AE Narratives of JMP Clinical |
Richard C. Zink, Drew Foglia |
source |
13 |
| SGF |
2016 |
Analytics of Things: Golf a Good Walk Spoiled? |
David Shannon |
source |
15 |
| PHUSE EU |
2015 |
Efficient Data Reviews and Quality in Clinical Trials Using CDISC Data Standards |
Valérie Nedbal |
source |
11 |
| PHUSE EU |
2015 |
WPP, Worst Programming Practice - Real-life Pittfalls in Everyday Clinical Programming: Why and How |
Hannes Engberg Raeder, Rowland Hale |
source presentation source |
14 |
| PharmaSUG CN |
2015 |
Generic Macros for Data Mapping |
Qian Zhao, John Wang, Ruofei Hao |
|
9 |
| PharmaSUG |
2015 |
A Methodology of Laboratory Data Reporting of Potentially Clinical Significant Abnormality (PCSA) for Clinical Study Report |
Xiangchen (Bob) Cui, Min Chen |
source |
21 |
| PharmaSUG |
2015 |
Generic Macros for Data Mapping |
Qian Zhao, Jun (John) Wang, Ruofei Hao |
source |
9 |
| PharmaSUG |
2015 |
Techniques of Preparing Datasets for Visualizing Clinical Laboratory Data |
Amos Shu, Victor Sun |
source |
6 |
| SESUG |
2014 |
SDTM What? ADaM Who? A Programmer's Introduction to CDISC |
Venita DePuy |
source |
9 |
| 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 |
Signal Detection of Misconduct in Clinical Trials |
Geoffrey A. Mann, Richard C. Zink |
source presentation source |
7 |
| PharmaSUG |
2014 |
Building Better Programming Teams with Situational Exposure Training |
Elizabeth Reinbolt, Steven R. Kirby |
source |
3 |
| PharmaSUG |
2014 |
CDISC Mapping and Supplemental Qualifiers |
Arun Raj Vidhyadharan, Sunil Mohan Jairath |
source |
6 |
| PharmaSUG |
2014 |
Challenges of Processing Questionnaire Data from Collection to SDTM to ADaM and Solutions Using SAS |
Karin LaPann, Terek J. Peterson |
source |
20 |
| PharmaSUG |
2014 |
Risk-Based Monitoring of Clinical Trials Using JMP Clinical |
Richard C. Zink, Kelci J. Miclaus |
source |
15 |
| SGF |
2014 |
Challenges of Processing Questionnaire Data from Collection to SDTM to ADaM and Solutions Using SAS |
Karin LaPann, Terek J. Peterson |
source |
19 |
| SGF |
2014 |
Risk-Based Monitoring of Clinical Trials Using JMP Clinical |
Richard C. Zink |
source |
14 |
| SESUG |
2013 |
Patient Profile Graphs Using SAS |
Sanjay N. Matange |
source |
14 |
| PHUSE EU |
2013 |
Developing an Integrated Platform, Getting the Best out of Several Technologies [presentation] |
Jean-Marc Ferran, Bart Van Win |
source |
23 |
| PHUSE EU |
2013 |
Visual Approaches for Safety Analysis and Review of Clinical Trials [presentation] |
Valérie Nedbal |
source |
34 |
| MWSUG |
2013 |
Beating Gridlock: Parallel Programming with SAS Grid Computing and SAS/CONNECT |
Jack E. Fuller |
|
7 |
| PharmaSUG |
2013 |
Patient Profile Graphs Using SAS |
Sanjay N. Matange |
source |
14 |
| PharmaSUG |
2013 |
SAS GTL: Improving Patients Safety and Study Efficiency |
Masaki Mihaila |
source |
11 |
| PharmaSUG |
2013 |
Traceability in the ADaM Standard |
Ed Lombardi |
source |
8 |
| SGF |
2013 |
Patient Profile Graphs Using SAS |
Sanjay N. Matange |
source |
14 |
| SESUG |
2012 |
Developing a Complete Picture of Patient Safety in Clinical Trials |
Richard C. Zink, Russell D. Wolfinger |
source |
5 |
| PharmaSUG |
2012 |
Creating the Time to Event ADaM Dataset: The Nuts and Bolts |
Nancy Brucken, Paul K. Slagle |
source |
7 |
| PharmaSUG |
2012 |
Gilding the Lily: Boutique Programming in TAGSETS.RTF |
Rohini Rao, Paul D. Hamilton |
source |
9 |
| SESUG |
2011 |
Resolving OpenCDISC Error Messages Using SAS |
John R. Gerlach |
source |
11 |
| WUSS |
2011 |
Analyze This? Supporting Clinical Decisions Graphically When Not Enough Data is Available A Study Case: Challenges in NCI CTCAE Version 4 Grading |
Sheila Dayog |
source |
4 |
| NESUG |
2011 |
Product Repository: Oblectives and Utilization - A Case Study |
Amit Bhanose, Smitha Mullapudi |
|
5 |
| PharmaSUG |
2011 |
Creating Customized Patient Profiles using SAS ODS RTF and PROC TEMPLATE |
Andrea Ritter |
source |
10 |
| PharmaSUG |
2011 |
Creating Hyperlinked PDF Graphical Patient Profiles with PROC REPORT |
William Conover |
source |
11 |
| PharmaSUG |
2011 |
From SAP to BDS: The Nuts and Bolts |
Nancy Brucken, Paul K. Slagle |
source |
9 |
| PharmaSUG |
2011 |
Macro to Generate Summary and Descriptive Statistics Tables |
Yogesh Pande |
source |
6 |
| PharmaSUG |
2011 |
Validating Controlled Terminology in SDTM Domains |
John R. Gerlach |
source |
12 |
| SGF |
2011 |
Healthcare Intelligence: The Challenge of OLAP for Healthcare Data |
John Leveille |
source |
10 |
| PHUSE EU |
2010 |
Interactive Clinical Data Review for Safety Assesment and Trial Operations Management |
Michael O'Connell |
source presentation source |
13 |
| PHUSE EU |
2010 |
PROC TRANSPOSE for Better Listings View |
Jules Van der Zalm |
source |
8 |
| PHUSE EU |
2010 |
Statistical Graphics for Review and Reporting in Clinical Development |
Kerstin Pietzko, Michael O'Connell |
source poster source |
12 |
| PHUSE EU |
2010 |
The Ultimate Integration Challenge |
Jennifer Choon-Moi Chin, Hester Schoeman |
source presentation source |
11 |
| PharmaSUG |
2010 |
CDASH Standards for Medical Device Trials: CRF Analysis |
Parag Shiralkar, Jennie Tedrow, Kit Howard, Laura Fazio, Daniela Luzi, Rhonda Facile |
|
8 |
| PharmaSUG |
2010 |
Create Comprehensive Patient Profiles with SAS |
Sanjay N. Matange, Daniel O'Connor |
|
12 |
| PharmaSUG |
2010 |
From SAP to ADaM: The Nuts and Bolts |
Nancy Brucken, Paul K. Slagle |
|
9 |
| PharmaSUG |
2010 |
The CDISC/FDA Integrated Data Pilot: A Final Summary of Findings, Reviewer Feedback, and Recommendations Implementing CDISC Standards Within and Across Studies |
Chris Decker |
|
20 |
| SGF |
2010 |
Establishing Consistent Programming for Pharmaceutical Safety Summarizations Using a DOW Loop |
Bradford J. Danner, Steven R. Kirby |
source |
8 |
| PHUSE EU |
2009 |
Kendle Implementation of CDASH [presentation] |
Elke Sennewald, Gill Lawrence |
source |
32 |
| PHUSE EU |
2009 |
PROC TRANSPOSE for Better Listing View |
Jules Van der Zalm |
source |
8 |
| PHUSE EU |
2009 |
The CDISC/FDA Integrated Data Pilot: A Case Study in Implementing CDISC Standards to support an Integrated Review |
Chris Decker |
source presentation source |
15 |
| PHUSE EU |
2009 |
The Perfect Match - an appreciation of the functionality of the dataset MERGE |
Diana Stuart |
source |
5 |
| NESUG |
2009 |
A Taste of SDTM in Real Time |
Changhong Shi, Beilei Xu |
|
6 |
| PharmaSUG |
2009 |
A SAS Macro Application for Generating Patient-Level Reports in Clinical Studies |
Yao Huang |
|
4 |
| PharmaSUG |
2009 |
Establishing Consistent Programming for Pharmaceutical Safety Summarizations Using a DOW Loop |
Bradford J. Danner, Steven R. Kirby |
|
8 |
| PharmaSUG |
2009 |
Generic System for Generating Data Listings |
Cheng Jun Tian |
|
15 |
| PHUSE EU |
2007 |
LSLV to Final CSR Tables in 24 hours - Dream or Reality? |
Stinder Fowler |
source |
10 |
| PHUSE EU |
2007 |
Runtime funtime: Vertical data reporting using runtime formats |
Michael Auld |
source |
11 |
| PHUSE EU |
2007 |
Web techniques for SAS ODS output and more |
Jules Van der Zalm |
source |
8 |
| PharmaSUG |
2007 |
The Creation of Time Deviations |
Karen Easterling |
|
5 |
| PharmaSUG |
2007 |
The TRANPOSE Procedure or How to Turn It Around |
Janet E. Stuelpner |
|
9 |
| PHUSE EU |
2006 |
Statistical Graphics and Reporting in Drug Development |
Michael O'Connell, Sven Knudsen |
source |
13 |
| SUGI |
2006 |
The TRANSPOSE Procedure or How to Turn It Around |
Janet E. Stuelpner |
source |
9 |
| SESUG |
2005 |
Proc Transpose or How to Turn It Around |
Janet E. Stuelpner |
source |
7 |
| PHUSE EU |
2005 |
The Dataset Diet - How to transform short and fat into long and thin |
Kathryn Wright |
source |
6 |
| PharmaSUG |
2005 |
Programming and Data Differences Between Clinical Trials and Observational Studies |
Margaret M. Coughlin |
|
6 |
| PharmaSUG |
2005 |
Strategies for Implementing SDTM and ADaM Standards |
Susan J. Kenny, Michael A. Litzsinger |
|
8 |
| PharmaSUG |
2005 |
The Role of Analysis Datasets in Successful FDA Advisory Meetings |
Sandy Chang |
|
9 |
| PharmaSUG |
2005 |
Using V9 ODS LAYOUT to Simplify Generation of Individual Case Summaries |
Ling Y. Chen |
|
8 |
| NESUG |
2004 |
Clinical Trials Online - Running SAS on the Web Without SAS/IntrNet |
Quan Ren |
|
15 |
| WUSS |
2004 |
Successful FDA Advisory Meetings by using Analysis Datasets |
Sandy Chang, Steven Wong |
source |
10 |
| SUGI |
2004 |
Clinical Trial Online - Running SAS on the Web without SAS/IntrNet |
Quan Ren |
source |
16 |
| SUGI |
2004 |
Widefiles, Deepfiles, and the Fine Art of Macro Avoidance |
Howard L. Kaplan |
source |
11 |
| WUSS |
2003 |
Discovering a New Human Vital Sign |
August L. Stemmer |
source |
5 |
| NESUG |
2002 |
Clinical Trial Online - Running SAS on the Web without SAS/IntrNet |
Quan Ren |
|
7 |
| PharmaSUG |
2002 |
Clinical Trial Online - Running SAS on the Web without SAS/IntrNet |
Quan Ren |
|
8 |
| SUGI |
2002 |
Clinical Trial Online - Running SAS on the Web without SAS/IntrNet |
Quan Ren |
source |
7 |
| SUGI |
2002 |
Dynamic Data Matching in Clinical Trial Research |
Zaizai Lu, David Shen |
source |
4 |
| PharmaSUG |
2001 |
Data Visualization of Phase 1 Clinical Studies - "Big Al's World" or Using SAS Version 8 to Acquire Quality Ice Cream |
Richard F. Synowiec |
|
8 |
| SUGI |
2001 |
Clinical Trial System - A Front End SAS/AF Application |
Quan Ren |
source |
7 |
| SUGI |
2001 |
Data Visualization of Phase 1 Clinical Studies - by "Big Al's Worlds " |
Richard F. Synowiec |
source |
6 |
| PharmaSUG |
2000 |
Using SAS Macro to Create Data Driven Format Statement for Clinical Data Flagging |
Pilita Canete, Melanie A. Paules, Shi-Tao Yeh |
|
5 |
| SESUG |
1998 |
Programmatic Generation of Table Specifications Using the SAS Macro Facility |
Weimin "WilHam" Sun, Caroline Stewart |
|
10 |
| SCSUG |
1997 |
A Macro to Account for Missing Data in a Table |
Margie Bell, Stephen Black, Jennifer K. Fulton |
|
10 |
| WUSS |
1997 |
Desing of the Clinical Data Portion of a CANDA to Facilitate Review by CDER |
Kay Obenshain |
source |
5 |
| PharmaSUG |
1997 |
Design of the Clinical Data Portion of a CANDA to Facilitate Review by CDER |
Kay Obenshain |
|
5 |
| SUGI |
1997 |
Validation and SAS Programming: Benefits of Using the System Life Cycle Method |
Russell Newhouse |
source |
5 |
| NESUG |
1995 |
The Adoption of Computer Interface Technologies in Health Services Delivery |
Richard Switalski |
|
9 |
| WUSS |
1995 |
Designing an Integrated Safety Summary of Clinical Trials |
Linda Collins, Patricia L. Gerend |
source |
6 |
| NESUG |
1994 |
Validating Your SAS Program |
Jennifer Dougherty |
|
4 |
| SUGI |
1993 |
BLOOD PRESSURE AND HEART RATE vs TIME |
Lan Tran-La |
source |
8 |
| SUGI |
1988 |
Graphical Presentation of Clinical Data Using SAS Macros |
Pan-Yu Lai, Thomas E. Schneider |
source |
4 |
| SUGI |
1988 |
Use of the SAS System, CMS REXX, and ISPF to Generate Standardized Vital Signs Reports for Clinical Studies |
Rong Q. Pan |
source |
6 |