| PharmaSUG |
2026 |
An Innovative solution for Interactive Dashboards Using Python Flask Framework for Clinical Data Analytics |
Manish Bhagchandani |
source |
6 |
| PharmaSUG |
2026 |
Closing the Loop: An Interactive R Shiny Dashboard for EDC Data Visualization and Real-Time Review Tracking |
Jun Yang, Yuying Jin |
source |
10 |
| PharmaSUG |
2026 |
From Manual to Automated": An SAS and R-Based Toolkit for Scalable SDTM Generation |
Hardik Sheth, Eldho Alias |
source |
8 |
| PharmaSUG |
2026 |
From Static to Dynamic: Leveraging R Shiny for Tumor Response Data Review |
Reneta Hermiz, Jing Ji, Amrit Pradhan, Martin Sandel |
source |
10 |
| PHUSE US |
2026 |
Bridging Patient- and Trial-Level Insights |
Catharina Dahlbo, Eva Kelty |
source poster source |
5 |
| PHUSE US |
2026 |
C&SP 203X Reinventing Clinical & Statistical programming for the AI - era [presentation] |
Sangeeta Bhattacharya |
source |
19 |
| PHUSE US |
2026 |
Check Yourself: Edit Checks and Queries Made Easy with Shiny |
Maya Gans |
source presentation source |
8 |
| PHUSE US |
2026 |
Deterministic Foundations, AI Acceleration: Lessons from Developing Hybrid Clinical Review Tools |
Matthew Kumar, Srinivas Veeragoni |
source presentation source |
8 |
| PHUSE US |
2026 |
Empowering Clinical Data Review with Interactive Patient-Level Visualisations in {teal} |
Dony Unardi |
source |
4 |
| PHUSE US |
2026 |
Integrating LLMs Using R Shiny for Clinical Data Review by Ensuring Data Privacy and Validity |
Peng Zhang |
source presentation source |
5 |
| PHUSE US |
2026 |
Is the AI Coding Assistant Catching Your Vibe? A Practical Assessment of Generative AI Tools in Clinical Data Analytics |
Chendi Liao |
source presentation source |
6 |
| PHUSE US |
2026 |
Straight to the Source: Interactive Visual Dashboards for Data Cleaning |
Daniel Smith |
source presentation source |
8 |
| PHUSE APAC |
2026 |
RbQM: An Intersection of Cross-Functional Collaboration of Clinical, Analytics, Statistics and Technology Domains for Better Clinical Trial Governance |
Abhishek Ghosh |
source presentation source |
10 |
| PHUSE APAC |
2026 |
Reimagining Clinical Data Exploration: Animated Data Visualizations for Interactive Clinical Trial Storytelling |
Tony Mathew |
source presentation source |
6 |
| PHUSE EU |
2025 |
Transforming Study-Specific Reporting (SSR Trends) Through an Innovative Data Pipeline Architecture Approach |
Archana Nayak, Jill Ophoff |
source presentation source |
3 |
| PHUSE EU |
2025 |
Using Visual Dashboards to Improve Data Accuracy |
Daniel Smith |
source poster source |
8 |
| PharmaSUG |
2025 |
A Customizable Framework in R for Presenting BICR Data in a User-Friendly Format |
Reneta Hermiz, Jing Ji |
source |
14 |
| PharmaSUG |
2025 |
Achieving Reliable Data Verification with R: Proven Tools, Best Practices, and Innovative Workflows |
Valeria Duran, Xuehan (Emily) Zhang |
source |
15 |
| PharmaSUG |
2025 |
Amazing Graph Series: Advanced SAS Visualization to Wake Up Your Data - From Static to Fantastic |
Tracy Sherman, Aakar Shah |
source |
10 |
| PharmaSUG |
2025 |
Bridging the Gap: Leadership of Statistical Programmers in Clinical Trials |
Allison Covucci, Xiaohan Zou |
source |
6 |
| PharmaSUG |
2025 |
Data management and biostatistics synergy: how to achieve and what can be expected |
Diana Avetisian |
source |
11 |
| PharmaSUG |
2025 |
The {teal} Adoption Playbook: Strategies, Tools, and Learning Paths for Open Source |
Vedha Viyash |
source |
8 |
| PHUSE US |
2025 |
Enhancing the (ASAP) Aggregate Safety Assessment Planning Framework with an Interactive R Markdown Application: Seeing is believing! |
Debopriya Ghosh |
source presentation source |
7 |
| PHUSE US |
2025 |
Fit for Purpose: How to Prepare a Package for Efficient Data Monitoring Committee (DMC) Data Review |
Ke Xiao, Hong Wang |
source poster source |
4 |
| PHUSE US |
2025 |
From Data Manager to Data Scientist: Navigating the Future of Data Management in Clinical Trials |
Debra Anderson |
source presentation source |
6 |
| PHUSE US |
2025 |
Interactive Visualisation of Pooled Clinical Trial Safety Data |
Sara Bodach, Ling Zhang |
source presentation source |
7 |
| PHUSE EU |
2024 |
Analytical Risk-Based Monitoring (ARBM): From Targeted to Zero Source Data Verification (SDV) - Are Teams Ready for the Revolution? |
Plamena Kostadinova |
source presentation source |
5 |
| PHUSE EU |
2024 |
DaVinci: A Modular Framework for Interactive Data Exploration and Visualisation in Clinical Research |
Isabel Glauß, Stefan Döring |
source presentation source |
5 |
| PharmaSUG CN |
2024 |
Interactive analyses and displays for clinical data by utilizing a complete suite of analysis and reporting (A&R) tools via MedDRAH |
Zhiping Yan |
source |
13 |
| PharmaSUG |
2024 |
A New Approach to Automating the Creation of the Subject Visits (SV) Domain |
Xiangchen (Bob) Cui, Jessie Wang, Min Chen |
source |
24 |
| PharmaSUG |
2024 |
Agile, Collaborative, Efficient (ACE): A New Perspective on Data Monitoring Committee Data Review Preparation |
Ke Xiao |
source |
6 |
| PharmaSUG |
2024 |
Piloting data visualization and reporting with Rshiny apps |
Yun Ma, Yifan Han |
source |
7 |
| PharmaSUG |
2024 |
Utilizing Data Visualization for Continuous Safety and Efficacy Monitoring within Early Development |
Margaret Wishart, Tamara Martin |
source |
5 |
| PHUSE US |
2024 |
A Data Manager's Experience with AI/ML Adoption and Efficiency |
Diane Lacroix |
source presentation source |
4 |
| PHUSE US |
2024 |
Agile, Collaborative, Efficient (ACE): A New Perspective on Data Monitoring Committee Data Review Preparation |
Ke Xiao, Hong Wang |
source poster source |
6 |
| 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 |
Enhancing PK Data Exploration and Visualization by using a R Shiny Application |
Runcheng Li, Hanyang Sun, Yiyuan Zeng, Jiannan Kang |
source presentation source |
7 |
| 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 US |
2024 |
R Shiny Application to Optimise Review of Multiple Myeloma Efficacy Data Listings |
Dinesh Putluri |
source poster source |
2 |
| PHUSE US |
2024 |
Real-Time Data Cleaning -- A Reality: When Automation Connects Digitised, Centralised, Standardised Data, it Transforms into Real-Time Data Cleaning |
Vidya Muthukumar |
source poster source |
2 |
| PHUSE US |
2024 |
Redefining 'Interactive' Dashboards to Enhance Safety Data Review |
Andrew McGowan |
source presentation source |
7 |
| PHUSE US |
2024 |
The Data Review Model - Recognising the Benefits of a Single Source of Truth Model for Data Review |
Priyank Patel |
source presentation source |
8 |
| PHUSE EU |
2023 |
Data Managers and R Programming: The Unlikely Pair |
Anaelle Perretti (Bonetta) |
source presentation source |
9 |
| PHUSE EU |
2023 |
Janssen DATA4YOU Platform Approach for Clinical Data Review |
Erik Lemmens, Paul Fioole |
source presentation source |
7 |
| PHUSE EU |
2023 |
Real-Time Safety and Medical Review by Integrating Data Visualisations with an SCE |
Shivoy Pandita, Santhoshi Madeswaran |
source presentation source |
8 |
| PHUSE EU |
2023 |
The Human in the Loop: Accelerating AI/ML Efficiencies for Clinical Data |
Achilleas Zaras |
source presentation source |
4 |
| PHUSE EU |
2023 |
Will R/Shiny Provide a Novel Way for Study Teams to Review Clinical Data? |
Gustav Söderström |
source presentation source |
3 |
| WUSS |
2023 |
Quality Control - Defining an Acceptable Quality Standard without Achieving Perfection |
Bill Coar |
source |
9 |
| PHUSE US |
2023 |
Decentralized Clinical Data Management (D-CDM): An Innovative 3-Way Approach (Risk-Data-Analytics) to Protect Data Integrity [presentation] |
Nithiyanandhan Ananthakrishnan, Mukesh Babu K |
source |
13 |
| PHUSE US |
2023 |
DV-04 |
Unifying RECIST |
source presentation source |
5 |
| PHUSE US |
2023 |
Use R to Track and Highlight the Changes Between 2 Versions of Data to Have More Efficient Data Review |
Disheng Huang, Kevin Li |
source presentation source |
5 |
| PHUSE EU |
2022 |
DRM Version 2: The Standards Strike Back [poster] |
Marc-Antoine Prodhomme |
source |
1 |
| PHUSE EU |
2022 |
Interactive Data Visualisation for Faster and Improved Data Insights [presentation] |
Markus Niederstrasser |
source video |
38 |
| WUSS |
2022 |
Cautionary Notes when Working with Interim Data |
Bill Coar |
source |
8 |
| WUSS |
2022 |
TrackCHG: A SAS Macro to Colorize and Track Changes Between Data Transfers in Subject-Level Safety Listings |
Inka Leprince, Elizabeth Li, Carl Chesbrough |
source |
21 |
| PharmaSUG |
2022 |
Copy comments: A Dynamic solution to solve the age-old need |
Joseph Cooney |
source |
8 |
| PharmaSUG |
2022 |
Just Say No to Data Listings! |
Mercidita Navarro, Nancy Brucken, Aiming Yang, Greg Ball |
source |
4 |
| PharmaSUG |
2022 |
SAS Macro to Colorize and Track Changes Between Data Transfers in Subject-Level Listings |
Inka Leprince, Elizabeth Li, Carl Chesbrough |
source |
19 |
| PHUSE US |
2022 |
The Decentralized Trials Data Problem: Foundations for the Future of Clinical Trials [presentation] |
Raj Indupuri |
source video |
11 |
| PHUSE EU |
2021 |
Real-world Data, CDISC SDTM, HL7 FHIR and the Future of Regulatory Submissions [presentation] |
Jozef Aerts |
source video |
17 |
| PHUSE EU |
2021 |
Utilising LSAF for Data Management at a Belgian Biotech |
Louella Schoemacher |
source video presentation source |
7 |
| PHUSE US |
2021 |
Leveraging Standard Analytics in Central Monitoring: The Good, The Bad, & The Ugly [presentation] |
Angela Geiger, Arianna Galli |
source video |
20 |
| PHUSE US |
2021 |
Software Demonstration: SD12: Reporting Application that Provides Instant Oversight to Management and Actively Helps Programmers to Save Time, Implement Standards and Raise Quality [presentation] |
Shafi Chowdhury |
source |
11 |
| PharmaSUG |
2021 |
Fast, Efficient, and Automated Real-time Analytics for Clinical Trials |
Aditya Gadiko, Christopher C. Hurley, Anish Iyer |
source |
5 |
| PharmaSUG |
2021 |
Make Your Life Easy! How SpotFire and SAS together can help with better Data Review and Data Quality |
Raj Sharma |
source |
12 |
| PHUSE EU |
2020 |
Scientific and Methodological Consistency Throughout a Clinical Study: How to Succeed? [poster] |
Sandra Wiederkehr, Caroline Rigault, V. Chapalain, R. Gauchoux |
source video |
1 |
| PharmaSUG |
2020 |
Color Data Listings and Color Patient Profiles |
Charley Z. Wu |
source |
5 |
| PharmaSUG |
2020 |
How to let Machine Learn Clinical Data Review as it can Support Reshaping the Future of Clinical Data Cleaning Process |
Mirai Kikawa, Yuichi Nakajima |
source |
9 |
| PHUSE US |
2020 |
Evolution of Data: From extraction to visualization |
Ashish Kumar |
source presentation source |
11 |
| 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 |
Rerouting Your Risk-based Monitoring Strategy: Overcoming Implementation Roadblocks with New Technologies and Approaches |
Jonathan Andrus |
source presentation source |
9 |
| PHUSE EU |
2019 |
Automated Review of Metadata Standards, Data Checks and Trend Visualisation |
Giuseppe Di Monaco |
source presentation source |
9 |
| PharmaSUG |
2019 |
Create Interactive Data Visualizations for Clinical Data Review Using Base SAS and Javascript |
Raj Kiran Boddu |
source |
12 |
| PharmaSUG |
2019 |
Strategy to Evaluate the Quality of Clinical Data from CROs |
Charley Z. Wu |
source |
7 |
| SGF |
2019 |
Utilization of Python in Clinical Study by SASPy |
Yuichi Nakajima |
source |
15 |
| PHUSE US |
2019 |
An Open Clinical Data Quality Framework |
Vineet Jain |
source presentation source |
11 |
| PHUSE US |
2019 |
The ARBM Ecosystem - Optimizing Process and Platform |
Madelaine Mackay |
source presentation source |
8 |
| PHUSE US |
2019 |
The Implementation of Spotfire in Clinical Trials to Review Safety and Patient Reported Outcomes Data |
Jingyuan Chen, Wenyi Liu |
source presentation source |
6 |
| PHUSE EU |
2018 |
A Proprietary CDASH/SDTM-hybrid Data Model to Expedite Clinical Data Review |
Lieke Gijsbers, Tom Van Der Spiegel |
source presentation source |
6 |
| PHUSE US |
2018 |
Building Dashboards for Real-time Insights into Clinical Data |
Bhavin Busa, Siddartha Kondapally |
source |
6 |
| PHUSE US |
2018 |
Increase Quality and Reduce SDTM Development Time with a Test Study Data Simulator |
Sasikumar Palanisamy, Bhaskar Subramanian |
source |
4 |
| PHUSE US |
2018 |
Machine Learning Driven Clinical Insights - What When & How? [presentation] |
Chandi Kodthiwada |
source |
5 |
| PHUSE US |
2018 |
Supporting a Data Review and Visualization Application with SDTM |
Deepika Sunkara, Jagadish Dhanraj |
source presentation source |
6 |
| PharmaSUG |
2018 |
The Changing Clinical Data Analytics Landscape - Visualization & Beyond |
Siddartha Kondapally, Kishore Pothuri, Bhavin Busa |
source |
6 |
| PHUSE EU |
2017 |
Putting Sisyphus Out of a Job, Making Health Care Research a Reality [presentation] |
Geoff Low |
source |
26 |
| PHUSE EU |
2017 |
Visualising CDSIC SDTM for Monitoring and Review |
Philip Bartle |
source presentation source |
11 |
| PharmaSUG |
2017 |
Data Integrity: One step before SDTM |
Pavan Kathula, Sonal Torawane |
source |
9 |
| PharmaSUG |
2017 |
Data Monitoring Committee Report Programming: Considering a Risk-Based Approach to Quality Control |
Amber Randall, Bill Coar |
source |
9 |
| PharmaSUG |
2017 |
Laboratory Data Standardization with SAS |
Charley Z. Wu, Dona-Lyn Wales |
source |
12 |
| PharmaSUG |
2017 |
Work with me here-(or there or anywhere): Practical Cloud Collaboration with JMP Clinical for Clinical Trial Data Reviews |
Kelci J. Miclaus, Drew Foglia |
source |
14 |
| PharmaSUG |
2016 |
"It is a standard, so it is simple, right?": Misconceptions and Organizational Challenges of Implementing CDISC at a CRO |
Susan H.M. Boquist, Adam J. Sicard |
source |
5 |
| PharmaSUG |
2016 |
Delivering a quality CDISC compliant accelerated submission using an outsourced model |
Mei Dey, Diane Peers |
source |
8 |
| PharmaSUG |
2016 |
The Devil is in the Details - Reporting from Pinnacle 21 (OpenCDISC) Validation Report |
Amy Garrett, Chris Whalen |
source |
11 |
| SGF |
2016 |
Data Review Listings on Auto-Pilot: Using SAS and Windows Server to Automate Reports and Flag Incremental Data Records |
Victor Lopez, Heli Ghandehari, Bill Knowlton, Christopher J. Swearingen |
source |
12 |
| PHUSE EU |
2015 |
Ensuring Data Quality in Outsourced Studies - The Role of the Data Scientist |
Sarah Malbon, Vikki Horton |
source presentation source |
8 |
| PHUSE EU |
2015 |
FDA Review Principles Applied to CRO Oversight |
Sascha Ahrweiler, Grace Ignacio |
source presentation source |
7 |
| PHUSE EU |
2015 |
From Data Management to Statistical Programming: A Real-Life Change |
Benjamin Lerbour |
source presentation source |
5 |
| PharmaSUG |
2015 |
R you ready to show me Shiny for PharmaSUG 2015 |
Amulya R. Bista, Jeff Cai |
source |
5 |
| MWSUG |
2014 |
Jack of all Listings, A New Approach for Review of Clinical Data |
Hardik Panchal |
|
15 |
| MWSUG |
2014 |
Using Cardinality Ratio for Fast Data Review |
Ronald J. Fehd |
|
16 |
| WUSS |
2014 |
Using Cardinality Ratio for Fast Data Review |
Ronald J. Fehd |
source |
15 |
| SGF |
2014 |
Embedding Critical Content in an E-mail Message Body [presentation] |
Amy Swartz |
source |
5 |
| WUSS |
2013 |
Generation of Subset Listings |
William Coar |
source |
13 |
| NESUG |
2013 |
How to Create High Level Data Review Tools |
Xiaoyu (Sean) Liu |
|
4 |
| PharmaSUG |
2013 |
Good vs Better SDTM: Limitations as Operational Model |
Henry B. Winsor, Mario Widel |
source |
4 |
| PHUSE EU |
2012 |
Integrating Clinical Images into the Data Review Process |
Kellie Riley |
source poster source |
5 |
| PHUSE EU |
2012 |
New Era for Data Management - Redfine Collaboration |
Michaela Jahn |
source presentation source |
6 |
| PharmaSUG CN |
2012 |
Clinical Review on iPad with DEFINE.XML |
Sy J. Truong |
|
10 |
| PharmaSUG |
2012 |
"Analysis-ready" - Considerations, Implementations, and Real World Applications |
Ellen (Zihui) Lin, Beiying Ding |
source |
6 |
| WUSS |
2011 |
Clinical Data Review on iPad with DEFINE.XML |
Sy J. Truong |
source |
10 |
| PHUSE EU |
2010 |
Statistical Graphics for Review and Reporting in Clinical Development |
Kerstin Pietzko, Michael O'Connell |
source poster source |
12 |
| PHUSE EU |
2009 |
Data review: To see or not to see.. |
Estelle Tiemtore |
source presentation source |
6 |
| PHUSE EU |
2009 |
Medical Data Review in Exploratory Drug Development |
Michaela Jahn, Joshua Haznedar |
source presentation source |
21 |
| PharmaSUG |
2008 |
Identifying and Surfacing Data Changes for Effective Quality Management |
W. Stetson Line, Scott A. Bahlavooni |
|
9 |
| PHUSE EU |
2007 |
DQC checker |
Ryan Finch |
source |
7 |
| PNWSUG |
2006 |
Journeymen's Tools: Data Review Macro FreqAll: Using Proc SQL List Processing with Dictionery.Columns to Eliminate Macro Do Loops |
Ronald J. Fehd |
|
10 |
| PHUSE EU |
2006 |
Integrating Specialized Graphics and Analysis into Production Systems |
Joel M. Hoffman, Michael O'Connell |
source |
18 |
| PHUSE EU |
2006 |
Statistical Graphics and Reporting in Drug Development |
Michael O'Connell, Sven Knudsen |
source |
13 |
| PHUSE EU |
2005 |
CLIREV - A friendly and flexible Clinical Data Review Tool |
Angelo Tinazzi |
source |
6 |
| NESUG |
2004 |
Developing a National Health and Nutrition Examination Survey (NHANES) SAS/Web-Based Quality Assurance Application |
Jane Zhang, Tim Tilert, Edward Stammerjohn, Lewis Berman, Alan Fisher |
|
9 |
| NESUG |
2003 |
2002 Economic Census Lands on Mars |
Christopher J. Boniface, Christopher W. Diering, Angela E. Meola, Kimberly Wortman |
|
10 |
| SEUGI |
1999 |
Clinical processes and SAS/PH-Clinical, a good marriage? [presentation] |
Patrick Genyn |
source |
24 |
| SUGI |
1998 |
DEMOXRPT: Macros for Writing Exception Reports; Perform Range and Logic Checks on a Data Set; Write File of Exceptions to Edit and Use for Updates |
Ronald J. Fehd |
source |
4 |
| SUGI |
1998 |
Using the Data Warehouse Model to Streamline and Accelerate New Drug and Medical Device Development |
Martin J. Rosenberg |
source |
5 |
| WUSS |
1997 |
Using the Data Warehouse Model is Streamline and Accelerate New Drug and Medical Device Development |
Martin J. Rosenberg |
source |
5 |
| PharmaSUG |
1997 |
ClinAccess: An Integrated Client/Server Approach to Clinical Data Management and Regulatory Approval |
Martin J. Rosenberg |
|
9 |
| WUSS |
1996 |
ClinAccess: An Integrated Client/Server Approach to Clinical Data Management and Regulatory Approval |
Martin J. Rosenberg |
source |
9 |
| PNWSUG |
1996 |
ClinAccess: An Integrated Client/Server Approach to Clinical Data Management and Regulatory Approval |
Martin J. Rosenberg |
|
9 |
| SEUGI |
1996 |
How can the SAS System add business benefit to the Pharmaceutical Industry in the Electronic Drug Submission Process? |
David J. Shannon |
source |
10 |
| SEUGI |
1996 |
Re-engineering the CAPLA: integrating electronic submissions into the drug development |
Guy Pawson |
source |
34 |
| SUGI |
1996 |
ClinAccess: An Integrated Client/Server Approach to Clinical Data Management and Regulatory Approval |
Martin J. Rosenberg |
source |
9 |
| NESUG |
1995 |
The Choice of SAS Software as the Application Development Tool for Your CANDA |
Barry R. Cohen |
|
9 |
| NESUG |
1995 |
The Integration of SAS/PH Clinical 2.0 into a CANDA Submission Package |
Ivan G. Pawson |
|
3 |
| WUSS |
1995 |
ClinAccess: An Integrated Client/Server Approach to Clinical Data Management and Regulatory Approval |
Martin J. Rosenberg |
source |
9 |
| SUGI |
1995 |
An Integrated System for Graphical Data Review |
Scott Scheleur, Julia L. Bienias, David Stachurski, David Lassman |
source |
6 |
| SUGI |
1995 |
ClinAccess: A Client/Server Approach to Clinical Trials Data Management and Regulatory Approval |
Martin J. Rosenberg |
source |
7 |
| SUGI |
1994 |
Developing Integrated Clinical Trials Systems: The ClinAccess Experience |
Martin J. Rosenberg |
source |
7 |
| SUGI |
1994 |
Using the FRAME Entry to Develop Graphical-based Data Review Application |
David A. Bright |
source |
8 |
| WUSS |
1993 |
An Integrated Clinical Trials System Utilizing Client Server and Graphical User Interface Technology |
Martin J. Rosenberg |
source |
7 |
| SUGI |
1993 |
An Integrated Clinical Trials System Utilizing Client Server and Graphical User Interface Technology |
Martin J. Rosenberg |
source |
7 |
| SUGI |
1992 |
An Integrated Clinical Information System for Pharmaceutical Research |
Martin J. Rosenberg |
source |
7 |
| SUGI |
1991 |
A Clinical Data Review System to Facilitate Pharmaceutical Research |
Martin J. Rosenberg |
source |
9 |
| SUGI |
1990 |
Constructing Integrated Clinical Information Systems for Traditional and Nontraditional Users |
Martin J. Rosenberg |
source |
6 |
| NESUG |
1989 |
Integrated Clinical Information Systems for Traditional and Non-traditional Users |
Martin J. Rosenberg |
|
8 |
| SEUGI |
1989 |
SAS/AF Software In Clinical Data Applications |
Mark Crawford |
source |
26 |
| SUGI |
1989 |
An Integrated Approach to Computer Systems for NDA Preparation and Presentation |
Martin J. Rosenberg |
source |
7 |
| SUGI |
1988 |
Future Direction of Biomedical Information Systems in the Pharmaceutical Industry Based on the SAS System |
James F. Sattler |
source |
4 |
| SUGI |
1988 |
Using the SAS System to Facilitate Clinical Trials Research and NDA Approval |
Martin J. Rosenberg |
source |
7 |
| SUGI |
1987 |
Building a Clinical Data Review System Using SAS/AF Software |
James F. Sattler |
source |
7 |