| WUSS |
2026 |
Smarter CRF Reviews: An Open-Source AI Tool for Automated Protocol-to-CRF Gap Analysis in Clinical Trials |
Raj Sharma |
source |
9 |
| PharmaSUG |
2026 |
Beyond Today-s Evidence: How AI-Enabled RWE Will Transform Development Speed, Study Quality, and Real-World Impact |
Sherrine Eid |
source |
15 |
| PharmaSUG |
2026 |
Delegation as a Quality Strategy: Building Accountable Biometrics Teams |
Steven Tan |
source |
5 |
| PharmaSUG |
2026 |
Sync & Scale: Empowering Cloud Hub & Team Synergy with SAS Bridge |
Mayank Singh |
source |
16 |
| PHUSE US |
2026 |
Accelerating Study Insights: Agile Data Visualisation Using R-Shiny |
Lin Yuan,
Heather Howell |
source
presentation source |
6 |
| PHUSE US |
2026 |
Check Yourself: Edit Checks and Queries Made Easy with Shiny |
Maya Gans |
source
presentation source |
8 |
| PHUSE US |
2026 |
Evolve Clinical Data Management: A Python-Based Framework for Clinical Data Transformation with Generative AI Integration |
Mitul Patel,
Denis Sokolov |
source
presentation source |
5 |
| PHUSE US |
2026 |
Opening Session - Global Data Sharing Platforms: Aligning Frameworks, Pressures and Opportunities [presentation] |
Cathal Gallagher |
source |
31 |
| PHUSE US |
2026 |
Operationalising ICH E6 R3: A Risk-Based Blueprint for Data Management |
Vera Pomerantseva |
source
presentation source |
5 |
| PHUSE US |
2026 |
The Journey Beyond Anonymisation: Exploring the Secondary Use of Clinical Trial Data |
Yuliia Cherednichenko,
Tetiana Skorokhod |
source
presentation source |
18 |
| PHUSE US |
2026 |
The SMART + Framework for AI Systems |
Laxmiraju Kandikatla |
source
poster source |
9 |
| PHUSE US |
2026 |
Transforming Clinical Trials: Present Innovations and Future Paths with AI and Agentic Tools |
Sandeep Purwar |
source
presentation source |
5 |
| PHUSE APAC |
2026 |
Automated Comparison of EDC Transfers: Identifying Data Changes Across Versions |
Malavika Biju,
Vignesh V. Gopal,
Rahulraj Raju |
source
presentation source |
6 |
| PHUSE APAC |
2026 |
Beyond Code: Elevating NextGen Statistical Programmers through Cross-Functional Learnings |
Saumil Tripathi |
source
presentation source |
7 |
| PHUSE APAC |
2026 |
Enhancing Stakeholder Accountability Involvement through Technological Advancement |
Muzzammil Ahmed |
source
poster source |
2 |
| PHUSE APAC |
2026 |
From XPT to JSON for submissions: Are we ready for the change? |
Poorna Suresh,
Bill Qubeck |
source
presentation source |
20 |
| PHUSE APAC |
2026 |
Integrating Real-World Evidence (RWE) and Digital Health Technologies (DHTs) with AI for Enhanced Patient Outcomes (RE) |
Varun Sethuraman |
source
presentation source |
10 |
| PHUSE APAC |
2026 |
Optimising Few-Shot Prompting Strategies for Scalable and Reliable Enterprise AI Applications |
Varun Sethuraman,
Avinash Patnaik |
source
presentation source |
10 |
| PHUSE APAC |
2026 |
RADAR: Rapid AGILE Development and Automated Reporting for Clinical Data Standards (Using R Shiny based Application) |
Neeraj Sharma,
Dhirendra Kumar |
source
presentation source |
5 |
| PHUSE EU |
2025 |
Disruption in Clinical Trials: How Conventional Roles Are Set to Change |
Amit Javkhedkar,
Kala Shivali |
source
presentation source |
7 |
| PHUSE EU |
2025 |
Shots to Stats: AI's Take on Alcohol Units |
Liam Clothier |
source
poster source |
6 |
| PHUSE EU |
2025 |
Turbocharge Your Trials: Transform CRF Creation and the CDISC standardization process with Xbiom's Smart Metadata Repository and AI/ML Integrations |
Harinarayanan Gopichandran |
source
presentation source |
8 |
| SESUG |
2025 |
Growing in Leadership: A Guide for Statistical Programmers |
Anil Jangili |
|
4 |
| SESUG |
2025 |
Preserving the Blind: Cross-Functional Solutions During Study Design Evolution from Blinded Parent to Open-Label Extension |
Tanmay Khole |
|
5 |
| PharmaSUG |
2025 |
AI-Powered Data Issue Tracker for Efficient Data Issue Tracking and Resolution |
Bharath Donthi |
source |
6 |
| PharmaSUG |
2025 |
Bridging the Gap: Leadership of Statistical Programmers in Clinical Trials |
Allison Covucci,
Xiaohan Zou |
source |
6 |
| PharmaSUG |
2025 |
Build vs. Buy: Strategic Considerations for Implementing AI Solutions in Pharma and Biotech Companies |
Rajesh Hagalwadi |
source |
15 |
| PharmaSUG |
2025 |
Data management and biostatistics synergy: how to achieve and what can be expected |
Diana Avetisian |
source |
11 |
| PharmaSUG |
2025 |
Navigating the transition of legacy processes for SDTM creation |
Jyothi Ketavarapu |
source |
5 |
| PharmaSUG |
2025 |
Stop Making More Physical Copies of Your Data: A Modern Approach to Traceability and Fidelity |
Anthony Chow,
Robert Garelick |
source |
8 |
| PharmaSUG |
2025 |
Understanding HIV: At-Risk Populations, Treatment, Prevention and Standardized Data Representation in HIV Studies |
Jyoti (Jo) Agarwal |
source |
12 |
| PHUSE US |
2025 |
Biomedical Concepts: What Are They and Why Should I Care? |
Stuart Malcolm |
source
presentation source |
7 |
| PHUSE US |
2025 |
Data Transformation: Achieving Compliance with Irregular Data |
Reyes Eduardo Elizalde Duarte |
source
presentation source |
6 |
| PHUSE US |
2025 |
Elevate Your Game: Leveling Up SDTM Validation with the Magic of Data Managers |
Julie Ann Hood |
source
poster source |
4 |
| 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 |
Enhancing Data Accuracy and Collaboration Through Efficient Data Reconciliation Using SAS in Clinical Trials |
Piyush Makkapati,
Swathi Nattam |
source
presentation source |
8 |
| PHUSE US |
2025 |
eProtocol and the Promise of Automation |
Bill Qubeck,
Suhas Giriraj |
source
presentation source |
17 |
| PHUSE US |
2025 |
How Unique is it for the Subject Identifier in a Study To Have Multiple Screenings and Enrolments? |
Anahita Vyas,
Rama Kudaravalli |
source
presentation source |
8 |
| PHUSE US |
2025 |
Innovative Cloud Solution for Advanced Image Analysis |
Gopal Joshi,
Sanjay Koshatwar |
source
presentation source |
9 |
| 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 |
Innovative Storage of SDTM Mappings as JSON: Boosting Efficiency and Data Consistency |
Rohan Parmar,
Edgar Manukyan |
source
presentation source |
5 |
| PHUSE US |
2025 |
Leadership Presentations: How and Why, Statistical Programming Leaders Need to Plan for Next Generation Statistical Programming [presentation] |
Francis Kendall |
source |
29 |
| PHUSE US |
2025 |
SDTM Specification Automation Using an ML Approach to Provide Mappings |
Benzi Mathew,
Jaya Simha Inampudi |
source
presentation source |
5 |
| PHUSE US |
2025 |
Synthetic Data Generation: A Process Paradigm |
Sundaresh Sankaran |
source
presentation source |
9 |
| PHUSE US |
2025 |
The Right Tool for the Job: Enhancing Risk-Based Monitoring and Data Cleaning |
Casey Higgins |
source
presentation source |
4 |
| PHUSE US |
2025 |
Turbocharge Your Trials: Transform CRF Creation and the CDISC standardization process with Xbiom's Smart Metadata Repository and AI/ML Integrations |
Harinarayanan Gopichandran |
source
presentation source |
8 |
| PHUSE US |
2025 |
Wearable Technology: Enhancing Patient Monitoring and Real-World Evidence |
Bill Qubeck,
Sridhar Vijendra |
source
presentation source |
15 |
| PHUSE US |
2025 |
Your SCE is Only as Good as Your Data: The Central Role of Information Governance in Clinical Research |
Michelle Chen |
source
presentation source |
3 |
| PHUSE EU |
2024 |
Behind the Blind: Enhancing Clinical Data Management with Python |
Niels Schrauwen |
source
presentation source |
5 |
| PHUSE EU |
2024 |
Bridging Statistical Programming and Data Management: A Job Rotation Experience |
Frederikke Høyer |
source |
4 |
| PHUSE EU |
2024 |
It's not the X's and O's, it's the Jimmys and Joes |
Eoin Byrne |
source
presentation source |
6 |
| PHUSE EU |
2024 |
Keynote Speaker - Maneesh Juneja [presentation] |
Maneesh Juneja |
source |
104 |
| PHUSE EU |
2024 |
Leveraging Data Science and Analytics to Optimise Clinical Trial Execution |
Melanie Hullings |
source
presentation source |
4 |
| PHUSE EU |
2024 |
Where Does Your SCE Fit in Your Data Strategy? |
Phil Loucks |
source
presentation source |
7 |
| SESUG |
2024 |
Empowering Educational Institutions: Utilizing SAS Tools for the Development of Student Retention Dashboard |
Raj Bhosale |
source |
8 |
| SESUG |
2024 |
The Essentials Given - Becoming an Expert of Statistical Programming in Pharma & Health Care Industry |
Hongbo Li |
source |
5 |
| WUSS |
2024 |
Mastering Clinical Trial Reporting with SAS [presentation] |
Matthew J. Becker |
source |
4 |
| WUSS |
2024 |
SAS Viya in Action: Enhancing Life Sciences Data Analysis [presentation] |
Matthew J. Becker |
source |
13 |
| 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 |
Advancing the Maturation of Standardized CRF Design |
Sugumaran Muthuraj,
Rubha Raghu |
source |
9 |
| PharmaSUG |
2024 |
Automating third party data transfer through digitized Electronic DTA Management |
Vandita Tripathi,
Manas Saha |
source |
6 |
| PharmaSUG |
2024 |
Bridging AI and Clinical Research: A New Era of Data Management with ChatGPT |
Illia Skliar |
source |
12 |
| PharmaSUG |
2024 |
Challenges and Considerations When Building e-Submission SDTM Data Packages |
Wei Duan |
source |
8 |
| PharmaSUG |
2024 |
Elevate Your Game: Leveling Up SDTM Validation with the Magic of Data Managers |
Julie Ann Hood,
Jen Manzi |
source |
5 |
| PharmaSUG |
2024 |
Excel Email Automation Tool: Streamlining Email Creation and Scheduling |
Xinran Hu,
Jeff Xia |
source |
7 |
| PharmaSUG |
2024 |
Hands-on Python PDFs: Using the pypdf Library To Programmatically Design, Complete, Read, and Extract Data from PDF Forms Having Digital Signatures |
Troy Martin Hughes |
source |
7 |
| PharmaSUG |
2024 |
Ongoing Trends and Strategies to Fine-tune the CRO/Sponsor Partnership - Perspectives from Statistical Programming |
Mathura P. Ramanathan |
source |
10 |
| PharmaSUG |
2024 |
Reimagining reporting and Visualization during clinical data management |
Vandita Tripathi,
Manas Saha |
source |
9 |
| PharmaSUG |
2024 |
Translation from statistical to programming: effective communication between programmers and statisticians |
Diana Avetisian |
source |
10 |
| PHUSE US |
2024 |
A Data Manager's Experience with AI/ML Adoption and Efficiency |
Diane Lacroix |
source
presentation source |
4 |
| 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 |
Confirmation and Cancellation - Best Strategies for Data Collection and Handling within Solid Tumor Studies Using RECIST 1.1 and iRECIST Guidelines |
Sherry Ye,
Abraham Yeh |
source
presentation source |
10 |
| PHUSE US |
2024 |
Data Pipeline - Improving Cycle Time and Shifting Data Closer to Analytics |
Jayasree Ivaturi |
source
presentation source |
6 |
| PHUSE US |
2024 |
Enabling the Breakthroughs of Tomorrow: The Data Lakehouse for Clinical Trials |
Venu Mallarapu |
source
presentation source |
12 |
| PHUSE US |
2024 |
Future-Proofing Clinical Data Sciences: The Pivotal Role of Therapeutic Area Proficiency |
Sascha Ahrweiler |
source
presentation source |
12 |
| 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 EU |
2023 |
Applying Central Statistical Monitoring to Find Anomalies and Address Quality Issues in Clinical Trial Data |
Wiktor Majewski |
source
presentation source |
5 |
| PHUSE EU |
2023 |
GPT (Generative Pretrained Transformers) and LLM (Large Language Models) have generated a lot of attention since their inception in early 2023 with the advent of OpenAI GPT3.5, then GPT4.0 |
Jerome Vetillard,
Mark Lambrecht |
source
presentation source |
16 |
| PHUSE EU |
2023 |
MINT+ Automation and Digitization of SDTM specification |
Magdalena Krochmal |
source
presentation source |
5 |
| PHUSE EU |
2023 |
Oak Garden - Metadata-Driven SDTM Automation in R |
Magdalena Krochmal,
Amy Franklin |
source
presentation source |
7 |
| PHUSE EU |
2023 |
Statistical Programming 101 for the Fourth Industrial Revolution |
Ritika Aggarwal |
source
presentation source |
10 |
| PHUSE EU |
2023 |
The Human in the Loop: Accelerating AI/ML Efficiencies for Clinical Data |
Achilleas Zaras |
source
presentation source |
4 |
| PharmaSUG |
2023 |
An End-to-End and Fully Integrated Clinical Development Platform with eDC/Labs data Data Management, Medical Review, Statistical Analysis and Adaptive Design etc. |
Peter Wang,
Vindyala Sunil |
source |
6 |
| PharmaSUG |
2023 |
As Simple as Falling Off a Log?: An Unusual Case Study of Mapping Data into the SDTM DA (Drug Accountability) Domain |
Susan Mutter |
source |
9 |
| PharmaSUG |
2023 |
FDA's Study Data Policy Framework and How CDISC Properties Are Evaluated for Inclusion |
Helena Sviglin |
source |
20 |
| PHUSE US |
2023 |
Conditional Branching in QRS Data and How to Represent It [presentation] |
Dana Booth,
Steve Kopko |
source
video |
39 |
| 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 |
Eminent Transitional Approach to Data Management: A Data Strategist's Journey from QbD to Reporting [poster] |
Mohamed Sameer,
Madhu Annamalai |
source |
1 |
| PHUSE US |
2023 |
Learnings from an External Comparator Study Based on Real-World Data (RWD) / Real-World Evidence (RWE) in T-Cell Therapy for Solid Tumors |
Rabia Ahmad |
source
presentation source |
6 |
| PHUSE US |
2023 |
The Thick and Thin of Adopting Risk-Based Approach to Data Management [presentation] |
Michał Ruciński |
source
video |
17 |
| PHUSE US |
2023 |
Using Real-world Data and Synthetic Data to Predict Study Outcomes, Submission Performance and Market Effectiveness [presentation] |
Jose C. Lacal,
Stuart Malcom |
source
video |
15 |
| PHUSE US |
2023 |
Where the Rubber Hits the Road - Qualifying an R Environment [presentation] |
Ellis Hughes |
source
video |
19 |
| PHUSE EU |
2022 |
From Artifact to Metadata: A Divergent Approach to Automation Through Standardisation |
Nicolas Rouillé,
Camie Britton |
source
presentation source |
4 |
| PHUSE EU |
2022 |
The Development of CDISC Biomedical Concepts: Update and Next Steps [presentation] |
Bess LeRoy |
source
video |
35 |
| SAS Explore |
2022 |
Data Catalog: Ignite Your Analytics Journey [video] |
Kumar Thangamuthu |
source
youtube |
|
| SAS Explore |
2022 |
Insurance Risk: Buzzing With Challenges and Innovations [video] |
Nektarios Konstantinou |
source |
|
| SAS Explore |
2022 |
Workload Management on SAS Viya:Orchestrate Your Viya Processing [video] |
Wes Gelpi,
Alex Daehnrich |
source |
|
| WUSS |
2022 |
Explore Your Data and Avoid Surprises |
Dan Konkler,
Gilbert Ramos |
source |
16 |
| PharmaSUG |
2022 |
Begin with the End in Mind: eCOA data from collection to analysis |
Franklin E. Menius,
Monali Khanna,
Vincent Allibone |
source |
7 |
| PharmaSUG |
2022 |
New Digital Trends and Technologies in Clinical Trials and Clinical Data Management |
Srinivasa Rao Mandava |
source |
8 |
| PHUSE US |
2022 |
Advancing RBQM Strategy with Enterprise-level Quality Risk Analytics, NLP/AI, and Immersive Technologies [presentation] |
Vera Pomerantseva |
source |
20 |
| PHUSE US |
2022 |
Applications of the R Package Validation Framework and {valtools} [presentation] |
Ellis Hughes |
source
video |
34 |
| PHUSE US |
2022 |
The Decentralized Trials Data Problem: Foundations for the Future of Clinical Trials [presentation] |
Raj Indupuri |
source
video |
11 |
| PHUSE EU |
2021 |
AI-powered Drug Development: Accelerating Trials with AI & ML [presentation] |
Raj Indupuri |
source
video |
10 |
| PHUSE EU |
2021 |
Augmenting Therapeutic Effectiveness through Novel Analytics (ATHENA) - A Public-Private Partnership Project Funded by the Flemish Government (VLAIO) [presentation] |
Ploingarm Petsophonsakul,
Wouter Botermans |
source
video |
14 |
| PHUSE EU |
2021 |
EMA Panel Discussion: What Might the Future Landscape of Submitting Data Look Like in 2025 ? [presentation] |
Eftychia-Eirini Psarelli,
Jesper Kjær |
source |
21 |
| PHUSE EU |
2021 |
Using Jobs and API Macros to Create a Structured, Controlled and Personalised LSAF Environment [presentation] |
Stephan van Driel |
source
video |
30 |
| PHUSE EU |
2021 |
Utilising LSAF for Data Management at a Belgian Biotech |
Louella Schoemacher |
source
video
presentation source |
7 |
| PHUSE US |
2021 |
Transitioning to R for Clinical Submissions [presentation] |
Philip Bowsher,
Sean Lopp |
source |
16 |
| PharmaSUG |
2021 |
Forward Planning: How to get the most of your eCOA data |
Monali Khanna,
Franklin E. Menius |
source |
7 |
| PharmaSUG |
2021 |
Policy Frameworks for Submitting Study Data to FDA |
Helena Sviglin |
source |
14 |
| SGF |
2021 |
Bridging the Gap Between Legacy SAS and SAS Viya at the Centers for Medicare and Medicaid (CMS) |
Richard Andrews,
Manuel Figallo-Monge,
Kevin Boone,
Prakash Subramanian,
Logan Perry |
source |
21 |
| PHUSE EU |
2020 |
Deploying Machine Learning in Data Management [presentation] |
Sheila Rocchio |
source
video |
11 |
| PHUSE EU |
2020 |
Goodbye, Excel, My Old Friend: A Collaboration Between Sanofi and S-cubed [presentation] |
David Iberson-Hurst,
Karen Fanouillere |
source
video |
19 |
| PHUSE EU |
2020 |
Using Software Development Principles and Tools to Create an R Package for Data Analysis Optimisation [presentation] |
Emanuil Markov,
Svetomir Hitov |
source
video |
19 |
| SGF |
2020 |
Adopting SAS Viya into Your Business: Data Success Tales from a Central Bank's Perspective |
Ben Zenick |
source |
20 |
| SGF |
2020 |
Automate Patient Safety Survey PDF Report Production |
Lan Luong |
source |
14 |
| SGF |
2020 |
Data Catalog: The Binding Governance Tool for a Successful Digital Transformation |
Vincent Rejany |
source |
29 |
| SGF |
2020 |
Data Preparation Techniques for Cloud-Based Data Sources |
Jennifer L. Nenadic |
source |
11 |
| SGF |
2020 |
Moving from Messy Data to a Clean Analytic Dataset: Common Data Management Techniques using SAS |
Bethany A. Bell |
source |
27 |
| SGF |
2020 |
Sailing Your Data Lake with Self-Service Data Prep |
Peter Baquero |
source |
20 |
| SGF |
2020 |
Steer Your Hybrid SAS Viya/SAS9 Ship Toward the 'Governed Data' Port |
Bogdan Teleuca |
source |
15 |
| SGF |
2020 |
Using SAS and R Integration to Manage and Create a Multilevel Complex Database: A Case Study of the U. S. Department of Defense Military Health System Data Repository |
Akhtar Hossain,
Nikki R. Wooten,
Laura A. Hopkins |
source |
6 |
| SGF |
2020 |
What's New in SAS Data Management |
Nancy A. Rausch |
source |
16 |
| PharmaSUG |
2020 |
Moving A Hybrid Organization Towards CDISC Standardization |
Kobie O'Brian,
Sara Shoemaker,
Robert Kleemann,
Kate Ostbye |
source |
8 |
| PHUSE US |
2020 |
Are we there yet? Evaluating new non-EDC data sources for clinical trial submission feasibility |
Vijay Pasapula |
source
presentation source |
6 |
| PHUSE US |
2020 |
eSource Arising: Clinical Data Automation Possibilities Beyond Data Capture |
Sofie Stynen,
Annelies Van Zeveren |
source
presentation source |
8 |
| PHUSE US |
2020 |
Handling Duplicate Records in SDTM for Effective Resolution and Explanation in Data Submission |
Varun Debbeti |
source
presentation source |
8 |
| PHUSE US |
2020 |
Industry Experiences Submitting Standardized Study Data to Regulatory Authorities |
Janet Low,
Vincent Guo |
source
presentation source |
12 |
| 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 |
Addressing the Gap in Data Standards: Introducing the Aggregation Layer |
Claudio Garutti,
Marko Bomyer |
source
presentation source |
11 |
| PHUSE EU |
2019 |
Data Everywhere: What Does Risk-based Monitoring Mean for Data Management? |
Swapna Pothula |
source
presentation source |
5 |
| PHUSE EU |
2019 |
Governance for Global Data QC Checks |
Kristien Nuyts |
source
presentation source |
10 |
| PHUSE EU |
2019 |
Seven Habits of Highly Effective (Validation Issue) Managers |
Amy Garrett |
source
poster source |
6 |
| MWSUG |
2019 |
Abstracting and Automating Hierarchical Data Models: Leveraging the SAS FORMAT Procedure CNTLIN Option To Build Dynamic Formats That Clean, Convert, and Categorize Data |
Troy Martin Hughes |
|
20 |
| WUSS |
2019 |
Using SAS to enhance data sharing across REDCap projects: Reducing errors, streamlining management, and improving quality |
Rachel K. Myers |
source |
12 |
| 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 |
Implementing CDISC Standards for Device-Drug Studies |
Karin LaPann,
Wenying Tian |
source |
10 |
| PharmaSUG |
2019 |
Strategy to Evaluate the Quality of Clinical Data from CROs |
Charley Z. Wu |
source |
7 |
| SGF |
2019 |
Combating Fraud and Financial Crime Effectively by Empowering Data Scientists Using SAS Viya |
Steve Overton |
source |
10 |
| SGF |
2019 |
Creating a Strong Business Case for SAS Event Stream Processing |
Henrique Consolini Danc |
source |
16 |
| SGF |
2019 |
Data Governance: Harder, Better, Faster, Stronger |
Vincent Rejany |
source |
18 |
| SGF |
2019 |
Data Preparation in the Analytical Life Cycle |
Ivor G. Moan |
source |
8 |
| SGF |
2019 |
Make SAS Viya Realize Strategic Data Science - Data Governance, AI Platform and AI SAS Programmer |
Ryo Kiguchi,
Katsunari Hirano,
Yoshitake Kitanishi |
source |
8 |
| PHUSE US |
2019 |
Can SAS Programs Have Memory? |
Cen Zhou,
Rakesh Kumar |
source
presentation source |
3 |
| PHUSE US |
2019 |
Next Generation Data Management: Case Studies for Ontology-driven Graph Databases |
Jim Lapointe |
source
presentation source |
8 |
| PHUSE US |
2019 |
Using Study Metrics to Monitor Several Aspects of Clinical Studies Virtually Real Time |
Julio Ruiz |
source
presentation source |
6 |
| PHUSE US |
2019 |
Utilizing Artificial Intelligence for Efficient CRF Design |
Komal Govil,
Sai Vundela |
source
presentation source |
5 |
| SCSUG |
2018 |
Advanced Analytics Architecture at General Motors |
Joe Aarons |
source |
27 |
| PHUSE EU |
2018 |
Data Engineering Project (Educating for the Future PHUSE Working Group) |
Guy R. Garrett,
Bev Hayes |
source
presentation source |
14 |
| PHUSE EU |
2018 |
Data Visualisation in a Risk-Based Approach to Support Decision-making |
Joke De Wever,
Irina Sargsyan |
source
presentation source |
12 |
| PHUSE EU |
2018 |
Dos and Don'ts for the First-time Line Manager - How to Maximise Your Chance of Success |
Hannes Engberg Raeder |
source
presentation source |
5 |
| PHUSE EU |
2018 |
SAS Life Science Analytical Framework (LSAF) in a Nutritional Clinical Research Setting |
Mickaël Hartweg,
Justine Morlet |
source
presentation source |
7 |
| PHUSE EU |
2018 |
SDTM Legacy Data Conversion |
Markus Stoll,
Angelo Tinazzi |
source
presentation source |
13 |
| PHUSE EU |
2018 |
Semantic integration for Healthcare and Pharma Enterprises [poster] |
Alexis Dimitriadis,
Christian Blaschke |
source |
1 |
| PHUSE EU |
2018 |
You'll Have to Check My Calendar: A Newbie's Insights into the World of Pharma |
Rohan Palanganda |
source
presentation source |
5 |
| SESUG |
2018 |
A User Defined SDTM Data Quality Checking and Tracking System |
Zemin Zeng,
Yunzhi Ling |
source |
6 |
| SESUG |
2018 |
Abstracting and Automating Hierarchical Data Models: Leveraging the SAS FORMAT Procedure CNTLIN Option To Build Dynamic Formats That Clean, Convert, and Categorize Data |
Troy Martin Hughes |
source |
20 |
| WUSS |
2018 |
Abstracting and Automating Hierarchical Data Models: Leveraging the SAS FORMAT Procedure CNTLIN Option To Build Dynamic Formats That Clean, Convert, and Categorize Data |
Troy Martin Hughes |
source |
21 |
| 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 |
| PHUSE US |
2018 |
The Untapped Potential of the Protocol Representation Model |
Jeffrey M. Abolafia,
Frank C. DiIorio |
source
presentation source |
10 |
| PHUSE US |
2018 |
Transforming Clinical Trials with Linked Data |
Tim P. Williams,
Armando Oliva |
source
presentation source |
9 |
| PharmaSUG |
2018 |
A CRO's perspective on successful partnering to deliver SDTM/SEND contributions |
Helen Owen,
Kirsty Payne |
source |
7 |
| PharmaSUG |
2018 |
Automating and Abstracting SAS Format Creation: Leveraging the CNTLIN Option To Build Dynamic SAS Formats That Clean, Convert, and Categorize Data |
Troy Martin Hughes |
source |
21 |
| PharmaSUG |
2018 |
Data Management and CDISC Formatting for Transdermal Patches |
Lois Lynn |
source |
11 |
| PharmaSUG |
2018 |
Derivations of Response Status from SDTM Domains using RECIST 1.1 |
Christine S Teng,
Lei Pang |
source |
10 |
| PharmaSUG |
2018 |
Some Common Programming Errors and Possible Solutions That Could Impact a Successful NDA/BLA |
Amos Shu |
source |
5 |
| SGF |
2018 |
Database-Ics II: Design, Standardize, and Control the Process for Better Data Management |
Frank A. Ferriola |
source |
6 |
| SGF |
2018 |
Enable Personal Data Governance for Sustainable Compliance |
Vincent Rejany |
source |
24 |
| SGF |
2018 |
What's New in SAS Data Management |
Nancy A. Rausch |
source |
11 |
| SESUG |
2017 |
Statistician's secret weapon: 20 ways of detecting raw data issues |
Lixiang Larry Liu |
source |
8 |
| SCSUG |
2017 |
Enabling Transitions of Care with SAS |
Christopher W. Schacherer |
source |
12 |
| PHUSE EU |
2017 |
The Secure Data Office Concept |
Annemie Van Dijck |
source
presentation source |
9 |
| PHUSE EU |
2017 |
The Untapped Potential of the Protocol Representation Model |
Jeffrey M. Abolafia,
Frank C. DiIorio |
source
presentation source |
10 |
| PharmaSUG |
2017 |
Clinical and Vendor Database Harmony; Can-t we all just get along? |
Brian Armstrong,
Renee Kerwin |
source |
9 |
| PharmaSUG |
2017 |
Let-s Check Data Integrity Using Statistical (SAS) Programmers with SAS |
Harivardhan Jampala |
source |
17 |
| PharmaSUG |
2017 |
Point-and-Click Programming Using SAS Enterprise Guide |
Kirk Paul Lafler,
Mira Shapiro,
Ryan Paul Lafler |
source |
18 |
| PharmaSUG |
2017 |
Statistician's secret weapon: 20 ways of detecting raw data issues |
Lixiang Larry Liu |
source |
8 |
| PharmaSUG |
2017 |
The Untapped Potential of the Protocol Representation Model |
Frank C. DiIorio,
Jeffrey M. Abolafia |
source |
10 |
| SGF |
2017 |
Creating the Perfect BI Report: Where to Begin |
Lisa Eckler |
source |
17 |
| SGF |
2017 |
Data Management for Cybersecurity |
Alex Anglin |
source |
6 |
| SGF |
2017 |
Develop a Simple Data Governance Program for a SAS Customer Intelligence Environment in 90 Days |
Aaron Nelson |
source |
12 |
| SGF |
2017 |
Modeling Best Practices: An IFRS 9 Case Study |
Peter Baquero,
Ling Xiang |
source |
8 |
| SGF |
2017 |
Quick Results with SAS Enterprise Guide |
Kirk Paul Lafler,
Mira Shapiro,
Ryan Paul Lafler |
source |
18 |
| SGF |
2017 |
Quick Results with SAS Enterprise Guide |
Kirk Paul Lafler,
Mira Shapiro,
Ryan Paul Lafler |
source
zip |
18 |
| SGF |
2017 |
Quick Results with SAS University Edition |
Ryan Paul Lafler |
source |
15 |
| SGF |
2017 |
Using SAS Data Management Advanced to Ensure Data Quality for Master Data Management |
Brian Smith |
source |
20 |
| SGF |
2017 |
What's New in SAS Data Management |
Nancy A. Rausch |
source |
15 |
| SCSUG |
2016 |
Downloading, Configuring, and Using the Free SAS University Edition Software |
Ryan Paul Lafler,
Kirk Paul Lafler,
Charles E. Shipp |
source |
15 |
| SCSUG |
2016 |
Point-and-Click Programming Using SAS Enterprise Guide |
Ryan Paul Lafler,
Kirk Paul Lafler,
Mira Shapiro |
source |
18 |
| SESUG |
2016 |
Downloading, Configuring, and Using the Free SAS University Edition Software |
Kirk Paul Lafler |
source |
15 |
| PHUSE EU |
2016 |
Clinical Data in Business Intelligence |
Mike Collinson |
source
presentation source |
7 |
| PHUSE EU |
2016 |
Protocol Representation: The Forgotten CDISC Model |
Jeffrey M. Abolafia,
Frank C. DiIorio |
source
presentation source |
10 |
| PHUSE EU |
2016 |
The Hardships of Finding your Way in Biometrics |
Evi Creebsburg |
source |
4 |
| PHUSE EU |
2016 |
Upstream with Your Statistician and a Data Visualisation Paddle |
Nick Cowans |
source
presentation source |
6 |
| MWSUG |
2016 |
Downloading, Configuring, and Using the Free SAS University Edition Software |
Kirk Paul Lafler,
Ryan Paul Lafler,
Charles E. Shipp |
|
15 |
| PharmaSUG |
2016 |
Duplicate records - it may be a good time to contact your data management team |
Sergiy Sirichenko,
Max Kanevsky |
source |
8 |
| PharmaSUG |
2016 |
Getting Started with Data Governance |
Gregory S. Barnes Nelson |
source |
15 |
| PharmaSUG |
2016 |
Scrambled Data - A Population PK/PD Programming Solution |
Sharmeen Reza |
source |
8 |
| PharmaSUG |
2016 |
Strategic Considerations for CDISC Implementation |
Amber Randall,
William Coar |
source |
6 |
| SGF |
2016 |
A Pseudo-Interactive Approach to Teaching SAS Programming |
Hunter Glanz |
source
zip |
6 |
| SGF |
2016 |
Accelerate the Time to Value by Implementing a Semantic Layer Using SAS Visual Analytics |
Arun Sugumar,
Vignesh Balasubramanian,
Harsh Sharma |
source |
12 |
| SGF |
2016 |
Analytics and Data Management in a Box: Dramatically Increase Performance |
Greg Otto,
Tho H. Nguyen,
Paul Segal |
source |
14 |
| SGF |
2016 |
Architecting Data Management: Seven Principles Using SAS, DataFlux, and SQL |
Bob Janka |
source |
20 |
| SGF |
2016 |
Big Data in Higher Education: From Concept to Results |
Stephanie R. Thompson |
source |
4 |
| SGF |
2016 |
Bridging the Gap: Importing Health Indicators Warehouse Data into SAS Visual Analytics Using SAS Stored Processes and APIs |
Li-Hui Chen,
Manuel Figallo-Monge |
source |
12 |
| SGF |
2016 |
Enhanced Segmentation Using SAS Visual Analytics and SAS Visual Statistics |
Darius S. Baer,
Suneel Grover |
source |
19 |
| SGF |
2016 |
Enterprise Data Governance across SAS and Beyond |
Jeff Stander |
source |
20 |
| SGF |
2016 |
Get Out of DATA Step Code and into Quality Knowledge Bases |
Brian Rineer |
source |
14 |
| SGF |
2016 |
New for SAS 9.4: Integrating Third-Party Metadata for Use with Lineage and Impact Analysis |
Liz McIntosh |
source |
18 |
| SGF |
2016 |
Sparking Analytical Insight with SAS Data Loader for Hadoop |
Matthew Magne,
Scott Gidley |
source |
7 |
| SGF |
2016 |
The Six Tenets of a Better Decision |
Daniel Jahn |
source |
9 |
| SGF |
2016 |
What's New in SAS Data Management |
Nancy A. Rausch |
source |
18 |
| MWSUG |
2015 |
Downloading, Configuring, and Using the Free SAS University Edition Software |
Kirk Paul Lafler,
Charles E. Shipp |
|
15 |
| PHUSE EU |
2015 |
Analysing the Role of a Lead Programmer |
Ester Schoeman |
source
presentation source |
9 |
| PHUSE EU |
2015 |
CodEX - When Excel Meets SAS to Code Clinical Data |
Stéphane Chollet,
Cathy Scoupe |
source
presentation source |
8 |
| PHUSE EU |
2015 |
Data Scientist - What It Is (Not) |
Michaela Jahn |
source
presentation source |
4 |
| PHUSE EU |
2015 |
Ensuring the Quality of your Data in Respiratory Trials: DM from a Statistical Standpoint |
Diana Stuart,
Abigail Fuller |
source
presentation source |
5 |
| PHUSE EU |
2015 |
From Data Management to Statistical Programming: A Real-Life Change |
Benjamin Lerbour |
source
presentation source |
5 |
| SESUG |
2015 |
Downloading, Configuring, and Using the Free SAS University Edition Software |
Kirk Paul Lafler |
source |
15 |
| SESUG |
2015 |
Point-and-Click Programming Using SAS Enterprise Guide |
Kirk Paul Lafler,
Mira Shapiro |
source |
18 |
| SESUG |
2015 |
Regulatory Stress Testing - A Manageable Process with SAS |
Wei Chen,
John Pechacek,
Erik Leaver,
Shannon Clark |
source |
12 |
| WUSS |
2015 |
Architecting Data Management: 7 Principles using SAS, DataFlux and SQL |
Bob Janka |
source |
17 |
| PharmaSUG CN |
2015 |
SAS End-to-End solutions in Clinical Trial |
Emma Liu |
|
17 |
| PharmaSUG |
2015 |
Downloading, Configuring, and Using the Free SAS University Edition Software |
Kirk Paul Lafler,
Charles E. Shipp |
source |
15 |
| PharmaSUG |
2015 |
The Most Common Issues in Submission Data |
Sergiy Sirichenko,
Max Kanevsky |
source |
9 |
| SGF |
2015 |
Access, Modify, Enhance: Self-Service Data Management in SAS Visual Analytics |
Gregor Herrmann |
source |
14 |
| SGF |
2015 |
Bust Open That ETL Black Box and Apply Proven Techniques to Successfully Modernize Data Integration |
Brandon Kirk |
source |
12 |
| SGF |
2015 |
Garbage In, Gourmet Out: How to Leverage the Power of the SAS Quality Knowledge Base |
Brian Rineer |
source |
15 |
| SGF |
2015 |
Getting Started with Data Governance |
Gregory S. Barnes Nelson,
Lisa Dodson |
source |
15 |
| SGF |
2015 |
Next Generation: Using SAS Decision Manager to Modernize and Improve Your Operational Decisions |
Steve Sparano |
source |
20 |
| SGF |
2015 |
Regulatory Stress Testing - A Manageable Process with SAS |
Wei Chen,
John Pechacek,
Erik Leaver,
Shannon Clark |
source |
12 |
| SGF |
2015 |
SAS vApps 101 |
Gary Kohan,
Danny Hamrick,
Connie Robison,
Rob Stephens,
Peter Villiers |
source |
10 |
| SGF |
2015 |
The SAS Transformation Project--Deploying SAS Customer Intelligence for a Single View of the Customer |
Ronak Shah,
Minza Zahid |
source |
7 |
| SGF |
2015 |
Time to Harvest: Operationalizing SAS Analytics on the SAP HANA Platform |
Morgen Christoph |
source |
11 |
| SGF |
2015 |
What's New in SAS Data Management |
Nancy A. Rausch,
Mike Frost |
source |
18 |
| SCSUG |
2014 |
Downloading, Configuring, and Using the Free SAS University Edition Software |
Kirk Paul Lafler,
Charles E. Shipp |
presentation |
15 |
| SCSUG |
2014 |
Point-and-Click Programming Using SAS Enterprise Guide |
Kirk Paul Lafler,
Mira Shapiro |
|
18 |
| SCSUG |
2014 |
Using SAS to Manage Biological Species Data and Calculate Diversity Indices |
Paul Montagna |
|
5 |
| SESUG |
2014 |
A Comprehensive Automated Data Management System For Clinical Trials |
Heather F. Eng,
Jason A. Lyons,
Theresa M. Sax |
source |
12 |
| SESUG |
2014 |
Point-and-Click Programming Using SAS Enterprise Guide |
Kirk Paul Lafler,
Mira Shapiro |
source |
18 |
| PHUSE EU |
2014 |
Considerations in Creating Transparent SDTM-Based Datasets |
Jerry Salyers,
Richard Lewis |
source
presentation source |
8 |
| PHUSE EU |
2014 |
Data Challenges in Adaptive Trials |
Claudio Garutti |
source
presentation source |
5 |
| 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 |
Metadata, Study Standards, Interoperability: Key Concepts Toward Compliance to FDA Guidance |
Isabelle de Zegher |
source
presentation source |
3 |
| PHUSE EU |
2014 |
R for SAS Programmers: It's Different, but Friendly |
Friedrich Schuster |
source
presentation source |
10 |
| PHUSE EU |
2014 |
The On-Going Evolutionary Changes of our Industry [presentation] |
Christian Mueller |
source |
34 |
| PHUSE EU |
2014 |
Why Don't You Define It? |
Nick De Donder,
Anne-Sophie Bekx |
source
presentation source |
7 |
| MWSUG |
2014 |
A Comprehensive Automated Data Management System For Clinical Trials |
Heather F. Eng,
Jason A. Lyons,
Theresa M. Sax |
|
12 |
| MWSUG |
2014 |
Conquering Big Data Analytics with SAS, Teradata and Hadoop |
John Cunningham,
Tho H. Nguyen,
Paul Segal |
|
10 |
| MWSUG |
2014 |
Point-and-Click Programming Using SAS Enterprise Guide |
Kirk Paul Lafler,
Mira Shapiro |
|
18 |
| MWSUG |
2014 |
PROC SQL for DATA Step Die-Hards |
Christianna S. Williams |
|
22 |
| WUSS |
2014 |
Conquering Big Data Analytics Challenges with SAS, Teradata and Hadoop |
Tho H. Nguyen,
Paul Segal,
John Cunningham |
source |
10 |
| WUSS |
2014 |
Point-and-Click Programming Using SAS Enterprise Guide |
Kirk Paul Lafler,
Mira Shapiro |
source |
18 |
| WUSS |
2014 |
Using SAS to do it all |
Chelsea Lofland,
Rebecca Ottesen |
source |
16 |
| PharmaSUG |
2014 |
Clinical Data Dashboards for Centralized Monitoring Using SAS and Microsoft SharePoint |
Jagan Mohan Achi |
source |
9 |
| PharmaSUG |
2014 |
Enhancing your Career by Bringing Consultants Into Your Organization |
Roger D. Muller,
Gregory S. Barnes Nelson |
source |
6 |
| PharmaSUG |
2014 |
Modernizing Your Data Strategy: Understanding SAS Solutions for Data Integration, Data Quality, Data Governance, and Master Data Management |
Gregory S. Barnes Nelson,
Lisa Dodson |
source |
18 |
| PharmaSUG |
2014 |
OpenCDISC Validator Implementation: A Complex Multiple Stakeholder Process |
Terek J. Peterson,
Gareth Adams |
source |
9 |
| PharmaSUG |
2014 |
SAS as a Tool to Manage Growing SDTM+ Repository for Medical Device Studies |
Julia Yang |
source |
12 |
| SGF |
2014 |
Big Data/Metadata Governance |
Sigurd W. Hermansen |
source |
9 |
| SGF |
2014 |
Big Digital Data, Analytic Visualization, and the Opportunity of Digital Intelligence |
Suneel Grover |
source |
17 |
| SGF |
2014 |
Data Quality Governance for Analytics Teams [presentation] |
Anand Jagarapu |
source |
2 |
| SGF |
2014 |
Direct Memory Data Management Using the APP Tools |
Paul M. Dorfman |
source |
18 |
| SGF |
2014 |
Doubling Down on Analytics: Using Analytic Results from Other Departments to Enhance Your Approach to Marketing |
Natalie G. Osborn,
Eric Peterson |
source |
6 |
| SGF |
2014 |
Exploring Data Access Control Strategies for Securing and Strengthening Your Data Assets Using SAS Federation Server |
Mark Craver,
Mike Frost |
source |
11 |
| SGF |
2014 |
How will Big Data change Healthcare Delivery and the Life Sciences Industry? |
Mark Blatt |
source |
6 |
| SGF |
2014 |
Integrated Big Data: Hadoop + DBMS + Discovery for SAS High-Performance Analytics |
John Cunningham |
source |
9 |
| SGF |
2014 |
Making It Happen: A Novel Way to Combine, Construct, Customize, and Implement Your Big Data with a SAS Data Discovery, Analytics, and Fraud Framework in Medicare |
Vivek Sethunatesan |
source |
15 |
| SGF |
2014 |
Managing the Data Governance Lifecyle |
Scott Gidley |
source |
7 |
| SGF |
2014 |
Modernizing Your Data Strategy: Understanding SAS Solutions for Data Integration, Data Quality, Data Governance, and Master Data Management |
Gregory S. Barnes Nelson,
Lisa Dodson |
source |
18 |
| SGF |
2014 |
SAS in the Enterprise.a Primer on SAS Architecture for IT |
Gary Spakes |
source |
4 |
| SGF |
2014 |
Understanding Change in the Enterprise |
Liz McIntosh,
Nancy A. Rausch,
Bryan Wolfe |
source |
14 |
| SGF |
2014 |
Using SAS MDM deployment in Brazil |
Ielton de Melo Gonçalves |
source |
5 |
| SGF |
2014 |
What's New in SAS Data Management |
Nancy A. Rausch,
Mike Frost,
Michael Ames |
source |
15 |
| SCSUG |
2013 |
Best Practices in Enterprise Data Governance |
Scott Gidley |
source |
9 |
| PHUSE EU |
2013 |
Standards for the Management of Clinical Trial Data, Why are they Needed, What is Needed? |
Isabelle Abousahl |
source
presentation source |
11 |
| PHUSE EU |
2013 |
Time Travel for Librarians: Versioning Complex Library Metadata for Past, Present or Future Retrieval |
Nico De Leeuw,
Ine Felsenstein |
source
presentation source |
12 |
| MWSUG |
2013 |
Data Quality Governance for Data Sourcing and Data Analytics Team |
Anand Kumar |
|
3 |
| NESUG |
2013 |
I'm Going to Pop Some Tags: Using SAS CALL SOUND Routines |
Richard Dirmyer |
|
4 |
| NESUG |
2013 |
Point-and-Click Programming Using SAS Enterprise Guide |
Kirk Paul Lafler,
Mira Shapiro |
|
18 |
| NESUG |
2013 |
Use of SAS for Clinical Trial Management and Risk-Based Monitoring of Multicenter Clinical Trial Data from Electronic Data Capture Tools |
Bob Hall,
David Gagnon |
|
14 |
| PharmaSUG |
2013 |
From Standards that Cost To Standards that Save: Cost Effective Standards Implementation |
Jeffrey M. Abolafia,
Frank C. DiIorio |
source |
9 |
| PharmaSUG |
2013 |
Modern SAS Programming: Using SAS Grid Manager and Enterprise Guide in a Global Pharmaceutical Environment |
David Edwards,
Gregory S. Barnes Nelson,
Susan Wang |
source |
14 |
| PharmaSUG |
2013 |
Using Workflows and Metadata Information to Standardize Business Processes in Pharmaceutical Programming |
Peng Yang,
Wei Liu,
Julie A. Maddox |
source |
9 |
| SGF |
2013 |
Best Practices in Enterprise Data Governance |
Nancy A. Rausch,
Scott Gidley |
source |
9 |
| SGF |
2013 |
Implementation of Slowly Changing Dimension to Data Warehouse to Manage Marketing Campaigns in Banks |
Lihui Wang,
Michelle Cheong,
Murphy Choy |
source |
8 |
| SGF |
2013 |
In-Database Data Quality: Performance for Big Data |
Charlotte Crain,
Mike Frost,
Scott Gidley |
source |
12 |
| SGF |
2013 |
Modern SAS Programming: Using SAS Grid Manager and SAS Enterprise Guide in a Global Pharmaceutical Environment |
David Edwards,
Gregory S. Barnes Nelson |
source |
14 |
| SGF |
2013 |
SAS and the New Virtual Storage Systems |
Margaret A. Crevar,
Tony Brown |
source |
11 |
| SGF |
2013 |
SAS Data Management Techniques: Cleaning and Transforming Data for Delivery of Analytic Data Sets |
Christopher W. Schacherer |
source |
38 |
| SGF |
2013 |
SAS Enterprise Business Intelligence Deployment Projects in the Federal Sector: Best Practices |
Jennifer Parks |
source |
13 |
| SGF |
2013 |
The SAS Versus R Debate in Industry and Academia |
Chelsea Lofland,
Rebecca Ottesen |
source |
6 |
| SGF |
2013 |
What's New in SAS Data Management |
Malcolm Alexander,
Nancy A. Rausch |
source |
17 |
| NESUG |
2012 |
Analyze and Manage Your Output with PROC MEANS |
Si Gao,
Xin Li |
|
6 |
| NESUG |
2012 |
PROC SQL for DATA Step Die-Hards |
Christianna S. Williams |
|
20 |
| NESUG |
2012 |
Quality Assurance: Best Practices in Clinical SAS Programming |
Parag Shiralkar |
|
8 |
| SCSUG |
2012 |
SAS Data Management Techniques: Cleaning and Transforming Data for Delivery of Analytic Data Sets |
Christopher W. Schacherer |
source |
38 |
| PHUSE EU |
2012 |
ADaM Or SDTM? A Comparision of Pooling Strategies for Integrated Analyses in the Age of CDISC |
Joerg Guettner,
Alexandru Cuza |
source
presentation source |
7 |
| PHUSE EU |
2012 |
Cost Effective Standards Implementation: A New Paradigm for the Drug Development Life Cycle |
Jeff Abolafio,
Frank C. DiIorio |
source
presentation source |
9 |
| PHUSE EU |
2012 |
New Era for Data Management - Redfine Collaboration |
Michaela Jahn |
source
presentation source |
6 |
| PHUSE EU |
2012 |
Using Workflows to Standardize Business Processes and Best Practices in Pharmaceutical Programming |
Mark Lambrecht,
Julie A. Maddox |
source
presentation source |
7 |
| SESUG |
2012 |
SAS Enterprise Business Intelligence (EBI) Deployment Projects in the Federal Sector: Best Practices |
Jennifer Parks,
Falls Church |
source |
12 |
| SESUG |
2012 |
The ADDR-PEEK-POKE Capsule: Transporting Data Within Memory and Between Memory and the PDV |
Paul M. Dorfman |
source |
18 |
| MWSUG |
2012 |
SAS Data Management Techniques: Cleaning and Transforming Data for Delivery of Analytic Data Sets |
Christopher W. Schacherer |
|
38 |
| WUSS |
2012 |
SAS "IML" (Introduction at the Master's Level) |
Anton Bekkerman |
source |
5 |
| WUSS |
2012 |
SAS In-Database Procedures on eBay's Teradata System Reduces Processing Time by a Factor of 4 |
Arun Akkinapalli,
Mithun Yarlagadda,
Gurudev Karanth,
John Prenner |
source |
11 |
| PharmaSUG |
2012 |
Metadata: Some Fundamental Truths |
Frank C. DiIorio |
source |
10 |
| SGF |
2012 |
Cluster Mapping of Medicare Severity Diagnosis-Related Groups for ICD-10 Conversions |
Keith A. Jones |
source |
11 |
| SGF |
2012 |
Evolving from Data Management to Master Data Management |
Wilbram Hazejager |
source |
8 |
| SGF |
2012 |
How Does SAS In-Database Analytics Impact Data Management? |
Adrian Jones |
source |
8 |
| SGF |
2012 |
Leveraging Analytics in Transportation to Create Business Value |
Vijitha Kaduwela |
source |
12 |
| SGF |
2012 |
Straight from Memory: ADDR, PEEK, POKE as SAS Programming Tools |
Paul M. Dorfman,
William W. Viergever |
source |
18 |
| SGF |
2012 |
The Emergence of Patterns in SAS Usage and Infrastructure |
Chuck Kincaid,
Mike R Vanderlinden |
source |
15 |
| SGF |
2012 |
What's New in SAS Data Management |
Nancy A. Rausch,
Michael Ames,
Wilbram Hazejager |
source |
13 |
| SESUG |
2011 |
Business Intelligence and Analytics: Complements within a Decision Support Culture |
Alan R. Mann,
Albert Briggs,
Emile Barnes |
source |
6 |
| SESUG |
2011 |
From Obscurity to Utility: ADDR, PEEK, POKE as DATA Step Programming Tools |
Paul M. Dorfman,
Lessia S. Shajenko |
source |
18 |
| WUSS |
2011 |
How to easily convert clinical data to CDISC SDTM |
Ale Gicqueau |
source |
9 |
| WUSS |
2011 |
Sending Emails in SAS to Facilitate Clinical Trial |
Frank Fan |
source |
10 |
| PHUSE EU |
2011 |
Collaboration versus conflict: building successful working relationships |
Diana Stuart |
source
presentation source |
5 |
| PHUSE EU |
2011 |
Critical Path Learning - How to Develop Top Level SAS Programmers |
Paolo Morelli |
source
presentation source |
4 |
| PHUSE EU |
2011 |
Study Composer: a CRF design tool enabling the re-use of CDISC define.xml metadata |
Philippe Verplancke |
source
presentation source |
5 |
| MWSUG |
2011 |
Case Study: Generating a DSMC report from an ORACLE database with SAS PROC REPORT |
Shannon M. Morrison,
Matthew T. Karafa |
|
8 |
| MWSUG |
2011 |
Point-and-Click Programming Using SAS Enterprise Guide |
Kirk Paul Lafler,
Mira Shapiro |
|
18 |
| NESUG |
2011 |
Metadata: Some Fundamental Truths |
Frank C. DiIorio |
|
9 |
| NESUG |
2011 |
PROC SQL for DATA Step Die-Hards |
Christianna S. Williams |
|
22 |
| PharmaSUG |
2011 |
Brave New World: How to Adapt to the CDISC Statistical Computing Environment |
Jeffrey M. Abolafia,
Frank C. DiIorio |
source |
11 |
| PharmaSUG |
2011 |
Confessions of a Clinical Programmer: Dragging and Dropping Means Never Having to Say You're Sorry When Creating SDTM Domains |
Janet E. Stuelpner,
Jack Shostak |
source |
12 |
| SGF |
2011 |
Confessions of a Clinical Programmer: Dragging and Dropping Means Never Having to Say You're Sorry When Creating SDTM Domains |
Janet E. Stuelpner,
Jack Shostak |
source |
12 |
| SGF |
2011 |
Creating a SAS Model Factory Using In-Database Analytics |
John Spooner |
source |
8 |
| SGF |
2011 |
Data Integration Monitor |
Bart Heinsius |
source |
10 |
| SGF |
2011 |
Innovations in Data Management - Introduction to Data Management Platform |
Wilbram Hazejager,
Pat M. Herbert |
source |
8 |
| SGF |
2011 |
Master Data Management, the Third Leg of the Data Management Stool: a.k.a. the DataFlux qMDM Solution |
Pat M. Herbert,
Wilbram Hazejager |
source |
9 |
| SGF |
2011 |
Point-and-Click Programming Using SAS Enterprise Guide |
Mira Shapiro,
Kirk Paul Lafler |
source |
18 |
| NESUG |
2010 |
Non Printable & Special Characters: Problems and how to overcome them |
Sridhar R. Dodlapati,
Praveen Lakkaraju,
Naresh Tulluru,
Zemin Zeng |
|
13 |
| SCSUG |
2010 |
Point-and-Click Programming Using SAS Enterprise Guide |
Mira Shapiro,
Kirk Paul Lafler |
source |
13 |
| WUSS |
2010 |
Point-and-Click Programming Using SAS Enterprise Guide |
Mira Shapiro |
source |
13 |
| WUSS |
2010 |
PROC MEANS versus PROC SQL for Descriptive Statistics Generation of Weighted Data |
Keiko I. Powers |
source |
9 |
| PHUSE EU |
2010 |
CDISC integration in a clinical data management system |
Peter Van Reusel |
source
presentation source |
13 |
| PHUSE EU |
2010 |
Electronic transfer of sAE to Global Pharmacovigilance |
Eva Bervar |
source
presentation source |
5 |
| PHUSE EU |
2010 |
Study conduct in a global integrated SAS environment |
Martin Probach |
source
presentation source |
3 |
| MWSUG |
2010 |
Point-and-Click Programming Using SAS Enterprise Guide |
Mira Shapiro,
Kirk Paul Lafler |
|
13 |
| SESUG |
2010 |
%SBSBOXPLOT: A SAS Macro for Generating Side-by-Side Boxplots |
Jason A. Schoeneberger,
Grant B. Morgan,
Bethany A. Bell |
source |
16 |
| SESUG |
2010 |
Point-and-Click Programming Using SAS Enterprise Guide |
Mira Shapiro,
Kirk Paul Lafler |
source |
13 |
| PharmaSUG |
2010 |
Checking for SDTM Compliance: The Need for Human Involvement |
Fred Wood,
Adrienne Boyance |
|
8 |
| PharmaSUG |
2010 |
Missing Pages Report |
David Gray,
Zhuo Chen |
|
10 |
| PharmaSUG |
2010 |
Non Printable & Special Characters: Problems and how to overcome them |
Sridhar R. Dodlapati,
Praveen Lakkaraju,
Naresh Tulluru,
Zemin Zeng |
|
13 |
| SGF |
2010 |
'Show Me the Green through a Hosted Sustainability Solution for Higher Education |
Karen Patch |
source |
10 |
| SGF |
2010 |
How to Establish an Analytical Center of Excellence to Maximize the Value from Your Data and Analytics Investment |
Anne Milley,
Aiman M. Zeid |
source |
11 |
| SGF |
2010 |
Providing a Central IT Platform for the Irish Statistical System: Implementing SAS Business Intelligence in the Central Statistics Office, Ireland |
Edward Lambe |
source |
16 |
| SGF |
2010 |
The Best of Both Worlds: Integrating a Java Web Application with SAS Using the SAS/SHARE Driver for JDBC |
Adam Rauch |
source |
9 |
| SESUG |
2009 |
From Obscurity to Utility: ADDR, PEEK, POKE as DATA Step Programming Tools |
Paul M. Dorfman |
source |
21 |
| SESUG |
2009 |
High Performance Analytics with In-Database Processing |
High Performance |
source |
8 |
| SESUG |
2009 |
Mapping Nested e-CRF Data into SDTM Domains |
Venkata Sekhar Bhamidipati,
Kristi L. Garner |
source |
5 |
| PHUSE EU |
2009 |
Challenges in running a virtual department through outsourcing |
Silvana Cappi |
source |
7 |
| PHUSE EU |
2009 |
Crossing the Chasm: Simplifying Data Management with Perl and Metadata |
Stephen Baker |
source
presentation source |
9 |
| MWSUG |
2009 |
High Performance Analytics with In-Database Processing |
Stephen Brobst,
Keith Collins,
Paul Kent,
Michael Watzke |
|
8 |
| PNWSUG |
2009 |
High Performance Analytics with In-Database Processing |
Stephen Brobst,
Keith Collins,
Paul Kent,
Mike Watzke |
|
8 |
| NESUG |
2009 |
A Taste of SDTM in Real Time |
Changhong Shi,
Beilei Xu |
|
6 |
| NESUG |
2009 |
PROC SQL for DATA Step Die-Hards |
Christianna S. Williams |
|
19 |
| NESUG |
2009 |
Why Does SAS Run Clockwise? |
Robert Krajcik |
|
11 |
| WUSS |
2009 |
BRIDGing CDASH to SAS: How Harmonizing Clinical Trial and Healthcare Standards May Impact SAS Users |
Clinton Brownley |
source |
6 |
| WUSS |
2009 |
Efficient Statistical Programming? - These Small Steps Make the Difference |
Keiko I. Powers |
source |
16 |
| PharmaSUG |
2009 |
A Flexible, User-Friendly Methodology for Data Set Comparison |
Michael Thompson |
|
9 |
| PharmaSUG |
2009 |
Nice SUPPQUAL Variables to Have |
Beilei Xu,
Changhong Shi |
|
5 |
| PharmaSUG |
2009 |
Oracle Clinical for SAS Programmers |
Kevin Lee |
|
8 |
| PharmaSUG |
2009 |
Technical Support in Biometrics |
Wei Dong |
|
4 |
| SGF |
2009 |
From Obscurity to Utility: ADDR, PEEK, POKE as DATA Step Programming Tools |
Paul M. Dorfman |
source |
20 |
| WUSS |
2008 |
Using SAS/AF for Managing Clinical Data |
Wynn Zheng |
source |
14 |
| PHUSE EU |
2008 |
Efficiency Issues in Evaluating Pharmacogenetic Data With SAS |
Volker Harm,
Stephan Lehr |
source |
10 |
| NESUG |
2008 |
From Obscurity to Utility: ADDR, PEEK, POKE as DATA Step Programming Tools |
Paul M. Dorfman |
|
19 |
| PharmaSUG |
2008 |
Robust Approach for Handling Data Issues Discovered During Statistical Programming |
Vineet Jain,
Smith Hanley |
|
12 |
| SGF |
2008 |
Oracle Clinical for SAS Programmers |
Kevin Lee |
source |
8 |
| SGF |
2008 |
PROC SQL for DATA Step Die-Hards |
Christianna S. Williams |
source |
17 |
| SGF |
2008 |
The Evolution of SAS in Life Sciences Research and Development |
David Handelsman |
source |
10 |
| NESUG |
2007 |
From Obscurity to Utility: ADDR, PEEK, POKE as DATA Step Programming Tools |
Lessia S. Shajenko,
Paul M. Dorfman |
|
20 |
| SESUG |
2007 |
Data Management Strategies |
Abbas S. Tavakoli |
source |
11 |
| MWSUG |
2007 |
Best Practices for Managing Predictive Models in a Production Environment |
Robert Chu |
|
10 |
| WUSS |
2007 |
How to Avoid Commonly-Seen "Correct but Problematic SAS Programming Pitfalls |
Keiko I. Powers |
source |
7 |
| PHUSE EU |
2007 |
Clinical Research Information Management... |
David Handelsman |
source |
8 |
| PHUSE EU |
2007 |
From local lab to standards and beyond |
Angelo Tinazzi,
Irene Corradino |
source |
10 |
| PharmaSUG |
2007 |
CSI - Denver: Common SAS Issues in Our Programs and Tips for Better Investigation of Your SAS Code |
Rachel Brown |
|
9 |
| PharmaSUG |
2007 |
General Use Data Delivery Codebook/Data Dictionary |
Donna Medeiros |
|
6 |
| PharmaSUG |
2007 |
Leveraging Base SAS for Constructing a Low-Cost, Data Clarification Request Generation and Tracking System Independent of a Clinical Data Management System |
David M. Escobar,
Barbara Mathewson,
George Strang |
|
7 |
| PharmaSUG |
2007 |
Strategies and Practical Considerations for Creating CDISC SDTM Domain Data Sets from Existing CDM Data Sets |
Robert W. Graebner |
|
12 |
| PharmaSUG |
2007 |
The Use of CDISC Standards in SAS from Data Capture to Reporting |
Andrew T. Fagan |
|
21 |
| SGF |
2007 |
Best Practices for Managing Predictive Models in a Production Environment |
Robert Duling,
David M. Thompson,
Wayne Chu |
source |
10 |
| SGF |
2007 |
DATA Step vs. PROC SQL: What's a Neophyte to Do? |
Ray Davis,
Michael L. Dickstein,
Craig Pass |
source |
12 |
| SGF |
2007 |
Simple and Effective - Using ODS Destinations to Facilitate Data Management |
Paul Gorrell |
source |
16 |
| MWSUG |
2006 |
The Projman Application: Allowing SAS to Manage Your Project |
Jon M Patton |
|
11 |
| PHUSE EU |
2006 |
Interfering with Data Management by the Statistician |
Jim Groeneveld |
source |
6 |
| PHUSE EU |
2006 |
Much more than TFLs - the evolving role of the Biometrician |
Chris Simmons |
source |
6 |
| PHUSE EU |
2006 |
Real Time: what is it and what are we doing about it? |
Richard H. Phillips,
Gregory S. Barnes Nelson |
source |
14 |
| PHUSE EU |
2006 |
The Use of CDISC Standards in SAS from Data Capture to Reporting |
Andrew T. Fagan |
source |
21 |
| SESUG |
2006 |
Master Data Management: What It Is and Why You Should Care |
John E. Bentley |
source |
5 |
| SESUG |
2006 |
PROC SQL for DATA Step Die-Hards |
Christianna S. Williams |
source |
17 |
| WUSS |
2006 |
Have It Both Ways: Macros that Produce Publication-Quality Tables and Stand-alone Code |
Linda Collins,
Lisa Kaye Brooks,
Michael Rea,
Alan Hopkins |
source |
19 |
| PharmaSUG |
2006 |
Challenges in Managing a Large (20+) SAS Programming Group |
Paul A. LaBrec,
Daniel Golder |
|
5 |
| PharmaSUG |
2006 |
Managing Clinical Trials Data using SAS Software |
Martin J. Rosenberg |
|
7 |
| PharmaSUG |
2006 |
Real Time: what is it and what are we doing about it? |
Richard H. Phillips,
Gregory S. Barnes Nelson |
|
14 |
| PharmaSUG |
2006 |
SAS Drug Development: Bringing Innovation to Life Sciences |
David Handelsman |
|
12 |
| PharmaSUG |
2006 |
Streamlining Specimen/Label Shipment Process |
Christina Carty,
Elizabeth R. Spence |
|
7 |
| PharmaSUG |
2006 |
Transforming Business Requirements into System Solutions |
Yongcun Zhang |
|
10 |
| SUGI |
2006 |
Real Time: What Is It? What Are We Doing about It? |
Richard H. Phillips,
Gregory S. Barnes Nelson |
source |
14 |
| SUGI |
2006 |
Stay in Control of Your SAS Environment |
Vijayanand Rajandram |
source |
8 |
| SESUG |
2005 |
SAS Certification: Is it for You? |
Sarbjit Rai |
source |
8 |
| SESUG |
2005 |
SER04_05 From Obscurity to Utility |
APP Functions |
source |
20 |
| PHUSE EU |
2005 |
Best Practices for Managing Clinical Research Information |
David Handelsman |
source |
16 |
| PHUSE EU |
2005 |
Managing Clinical Trials Data using SAS |
Martin J. Rosenberg |
source |
7 |
| MWSUG |
2005 |
SAS Enterprise Guide in Pharmaceutical Applications: Automated Analysis And Reporting |
Alex Dmitrienko |
|
9 |
| WUSS |
2005 |
SAS Certification: Is it for You? |
Sarbjit Rai |
source |
8 |
| PharmaSUG |
2005 |
An Approach Finding the Right Tolerance Level for Clinical Data Acceptance |
Karen Walker |
|
6 |
| PharmaSUG |
2005 |
Get Experience with New SAS Drug Development Software |
Dana Rafiee |
|
5 |
| PharmaSUG |
2005 |
Implementation of the CDISC SDTM at the Duke Clinical Research Institute |
Jack Shostak |
|
12 |
| SUGI |
2005 |
Best Practices in Enterprise Data Management |
Gary Mehler |
source |
14 |
| SUGI |
2005 |
Building a Data-Driven Computer Assisted Interview Using SAS/AF |
Derek P. Morgan |
source |
19 |
| SUGI |
2005 |
CALL EXECUTE: A Powerful Data Management Tool |
Denis Michel |
source |
13 |
| SUGI |
2005 |
Data Profiling: Designing the Blueprint for Improved Data Quality |
Brett Dorr,
Pat M. Herbert |
source |
10 |
| SUGI |
2005 |
SAS Certification: An End User's Review |
Sarbjit Rai |
source |
8 |
| WUSS |
2004 |
Building a Data-Driven Computer Assisted Interview Using SAS/AF |
Derek P. Morgan |
source |
17 |
| MWSUG |
2004 |
Building a Data-Driven Computer Assisted Interview Using SAS/AF |
Derek P. Morgan |
|
18 |
| PharmaSUG |
2004 |
CDX - clinical data management and report programming environment |
Gunilla Sköllermo,
Pål Edman |
|
7 |
| PharmaSUG |
2004 |
The Implementation of Automatic Obvious Data Modifications (ODMs) on Late Phase Trials Using SAS PROC SQL |
Kathleen Kushner,
Philip Pellicone |
|
6 |
| SUGI |
2004 |
A-P-P Advanced Data Management Functions |
Peter Crawford,
Paul M. Dorfman |
source |
20 |
| SUGI |
2004 |
Data Quality Management: The Most Critical Initiative You Can Implement |
Jonathan G. Geiger |
source |
15 |
| SUGI |
2004 |
DATA Step vs. PROC SQL: What's a Neophyte to Do? |
Craig Dickstein,
Ray Pass |
source |
13 |
| SUGI |
2004 |
Directly Using the Lab Ranges Data into SAS Program of Determining Lab Normality |
Don (Dongguang) Li |
source |
4 |
| SUGI |
2004 |
Make Your Data a Strategic Asset |
Ken Wright |
source |
8 |
| WUSS |
2003 |
An Overview of SAS Certification and the Test Development Process |
Linda Althouse,
Marc Vaglio-Laurin |
source |
6 |
| WUSS |
2003 |
Efficient Statistical Programming? Let's Be Creative With Those SAS Steps |
Keiko I. Powers |
source |
7 |
| WUSS |
2003 |
Why SAS is the Best Place to Put Your Clinical Data |
Steven A. Wilson |
source |
10 |
| NESUG |
2003 |
Automating SAS Data Management Tasks |
Catherine Buffington |
|
2 |
| SEUGI |
2003 |
IT Management Solutions in the telecom area [presentation] |
Arne Lofgren |
source |
32 |
| VIEWS |
2003 |
The SAS Certified Professional Program |
Ruth Talbot |
presentation |
6 |
| PharmaSUG |
2003 |
Why SAS is the Best Place to Put Your Clinical Data |
Steven A. Wilson |
|
10 |
| SUGI |
2003 |
An Overview of SAS Certification and the Test Development Process |
Linda Althouse,
Marc Vaglio-Laurin |
source |
8 |
| SUGI |
2003 |
Applied Population Genetics Using SAS Software |
Kristan A. Schneider,
Georg T. Schneider,
Barbara G. Schneider |
source |
|
| SUGI |
2003 |
Future Trends and New Developments in Data Management |
Jim Lee |
source |
6 |
| SUGI |
2003 |
How Do I Love Thee? Let Me Count the Ways.' SAS Software as a Part of the Corporate Information |
John E. Bentley |
source |
10 |
| SUGI |
2003 |
Introduction to the SAS Custom Tag Library |
Robert Girardin |
source |
1 |
| MWSUG |
2002 |
Easy Interface for SAS --A SAS Applciation on the Windows Platform |
Zhuan (John) Xu |
|
9 |
| NESUG |
2002 |
PROC SQL for DATA Step Die-Hards |
Christianna S. Williams |
|
10 |
| SESUG |
2002 |
A Sample Delivery System for A Multi-Site Study Using SAS On A UNIX Platform |
Gabriel Cano |
source |
7 |
| SEUGI |
2002 |
Banking Data Warehouse-Developing Strategy in ICBC [presentation] |
Chen Daobin |
source |
19 |
| SEUGI |
2002 |
Data Warehousing with SAS [presentation] |
Wilbram Hazejager |
source |
32 |
| SEUGI |
2002 |
Developing an infrastructure for the Efficient Use of SAS at the Federal Statistical Office Germany [presentation] |
Heinz Stralla |
source |
21 |
| SEUGI |
2002 |
GAMBRO - A Leading Global Medical Technology and Healthcare Company [presentation] |
Catherine Collier |
source |
10 |
| SEUGI |
2002 |
Risk Management for Utilities companies [presentation] |
M. Palomo |
source |
22 |
| SUGI |
2002 |
DATA Step vs. PROC SQL: What's a Neophyte to Do? |
Craig Dickstein,
Ray Pass |
source |
9 |
| SUGI |
2002 |
Using Java, SAS and XML to Integrate Handheld Data Acquisition with Data-management Web Services |
Scott E. Chapal |
source |
6 |
| VIEWS |
2001 |
Making Database QC easy, the PAREXEL way [presentation] |
Oliver Rees |
|
27 |
| VIEWS |
2001 |
Speeding Up the Validation Process of Clinical Trials Data [presentation] |
Ali Dootson |
|
23 |
| VIEWS |
2001 |
Your Clinical Trials Data Entry and Management Solution - The SAS UK Clinical Data Management Knowledge Solution [presentation] |
Jane Powell |
|
19 |
| WUSS |
2001 |
Building an Automated Data Management, Analysis, and Reporting Tool that Runs against Pre-Processed Web Server Access Log File Data |
Nick Pászty |
source |
6 |
| SESUG |
2001 |
A Scorecard Approach to Improving Data Quality |
Robert W. Phelps,
Phil Nousak |
source |
9 |
| SCSUG |
2001 |
A Scorecard Approach to Improving Data Quality |
Robert W. Phelps,
Phil Nousak |
|
9 |
| SEUGI |
2001 |
IT Management Solutions - Strategic Directions [presentation] |
Richard Seery |
source |
22 |
| SEUGI |
2001 |
Multi-objective modelling of decision making problems using SAS software [presentation] |
J. Pietrzykowski,
J. Granat,
P. Witan |
source |
30 |
| SEUGI |
2001 |
Overview of Risk Dimensions [presentation] |
Rik van de Weerthof |
source |
34 |
| SEUGI |
2001 |
SAS & IUT of Vannes: 15 years of Partnership for Higher Competences in the Business Intelligence Economy [presentation] |
Ariane Liger-Belair Sioufi,
Jean Le Nouvel |
source |
21 |
| SEUGI |
2001 |
Taming the CRM Information Explosion - The Power of Two: EMC & SAS [presentation] |
Marco Lang |
source |
12 |
| PharmaSUG |
2001 |
Adopting e-Strategy for Information Delivery |
Thomas H. Burger,
John M. LaBore |
|
4 |
| PharmaSUG |
2001 |
Saving Trees: Managing the Edit Check Process Electronically |
Timothy D. Kelly |
|
4 |
| PharmaSUG |
2001 |
Techniques and Strategies Used in Building a SAS-Based Clinical Data Management System |
David L. Ward,
Bound Brook |
|
4 |
| PharmaSUG |
2001 |
The iBiomatics Portal: Leveraging SAS and other technologies to develop a Web-based informatics Portal |
Christopher R. Olinger,
Andrew T. Fagan |
|
6 |
| PharmaSUG |
2001 |
Warehousing Clinical Pharmacogenomics Data |
Philip M. Pochon |
|
6 |
| SUGI |
2001 |
DATA Step vs. PROC SQL: What's a Neophyte to Do? |
Craig Dickstein |
source |
9 |
| SUGI |
2001 |
Efficient Statistical Programming? - Let SAS Do the Work |
Keiko I. Powers |
source |
4 |
| SUGI |
2001 |
Walk Our Children to School: An Internet Data Management Application |
Carol A. Martell |
source |
|
| NESUG |
2000 |
Saving Trees: Managing the Edit Check Process Electronically |
Timothy D. Kelly |
|
3 |
| MWSUG |
2000 |
Removing Slag to Get the Ore: Preparing Data for Mining |
Thomas H. Burger,
Jerry E. Plaatje,
John M. LaBore |
|
4 |
| SEUGI |
2000 |
Adopting e-Strategy for Information Delivery |
John M. LaBore,
Thomas H. Burger |
source |
4 |
| SEUGI |
2000 |
Building an Integrated Clinical Trial Data Management System With SAS Using OLE Automation and ODBC Technology [presentation] |
Alexandre Peregoudov |
source |
9 |
| SEUGI |
2000 |
Publitalia '80 Prj. MAGIA - global management of accounting collections [presentation] |
Antonio Bellato |
source |
28 |
| SEUGI |
2000 |
Risk Dimensions V3 Overview [presentation] |
Rik van de Weerthof |
source |
28 |
| PharmaSUG |
2000 |
Efficient SAS Quality Checks: Unique Error Identification And Enhanced Data Management Analysis |
Jim Grudzinski |
|
6 |
| PharmaSUG |
2000 |
Web-enabling Bioanalytic Laboratory Data Loading and QA Processing |
James Sun |
|
4 |
| SUGI |
2000 |
Building a Low Cost SAS Data Warehouse on NT Workstation |
Zhuan (John) Xu |
source |
4 |
| SUGI |
2000 |
Flexibility in Data Management Through the SAS System |
Shawn P. Thomas,
Brandon L. Welch,
Keely P. Casey |
source |
6 |
| SUGI |
2000 |
SAS Procedures for Use in Public School Accountability Programs |
Sean W. Mulvenon,
Ronna C. Turner,
Barbara J. Ganley,
Antoinette R. Thorn,
Kristina A. Fritts Scott |
source |
5 |
| NESUG |
1999 |
Are We Done Yet? Tracking Your Data Management Process with SAS Software |
Daphne E. Ewing,
Barbara McLaughlin |
|
4 |
| NESUG |
1999 |
Visual Analysis on the WEB: Animating High Density Multidimensional Data |
Haftan M. Eckholdt |
|
9 |
| MWSUG |
1999 |
Enhancement in Easy Interface for SAS - A SAS Application on the Windows Platform |
John (Zhaun) Xu |
|
9 |
| SEUGI |
1999 |
A Data Warehouse on Auto-Pilot - how to maintain your SAS Data Warehouse without programming [presentation] |
Steve Morton |
source |
40 |
| SEUGI |
1999 |
Clinical processes and SAS/PH-Clinical, a good marriage? [presentation] |
Patrick Genyn |
source |
24 |
| SEUGI |
1999 |
Crime Statistics in Belgium: building a national database |
Christian Leleux,
Samuel de Klerck |
source |
3 |
| SEUGI |
1999 |
Exploiting data warehouse metadata for knowledge management [presentation] |
Berthold Weismann |
source |
27 |
| SEUGI |
1999 |
Historical service views based upon HP/ITO-5 and SAS IT Service Vision [presentation] |
Walter Verhoeven |
source |
24 |
| SUGI |
1999 |
Easy Interface for SAS - A SAS Application on the Windows Platform |
Zhuan (John) Xu |
source |
9 |
| MWSUG |
1998 |
From End User to SAS Software Programmer |
Betty J. Anderson |
|
10 |
| NESUG |
1998 |
Using SAS MACRO Facility and DATA Step Functions for Automated and Selective Deletion of Records With Missing Information |
David Olaeye |
|
10 |
| SEUGI |
1998 |
Getting the most out of SAS/PH-Clinical Software: The future is now |
Patrick O'Donoghue |
source |
49 |
| PharmaSUG |
1998 |
Integrating SAS and Adobe Acrobat into Electronic FDA Submissions |
Shylendra Kumar |
|
5 |
| PharmaSUG |
1998 |
Managing SAS/PH-Clinical in a Multiple Instance Environment |
Steven Light,
Paul M. Gilbert |
|
3 |
| SUGI |
1998 |
Enterprise Data Management - Warehouse Integration Solutions |
Kimberly A. Foster |
source |
5 |
| SUGI |
1998 |
Managing Large Financial Data with the SAS System and the WEB: The Sequel |
Paul J. Ratnaraj |
source |
11 |
| SUGI |
1998 |
Using the Data Warehouse Model to Streamline and Accelerate New Drug and Medical Device Development |
Martin J. Rosenberg |
source |
5 |
| WUSS |
1997 |
A Data Management System for Use in Smaller Biotech Companies |
Ellen Krantz |
source |
5 |
| WUSS |
1997 |
Using SAS as a Clinical Data Repository |
Carl R. Haske |
source |
6 |
| WUSS |
1997 |
Using the Data Warehouse Model is Streamline and Accelerate New Drug and Medical Device Development |
Martin J. Rosenberg |
source |
5 |
| NESUG |
1997 |
Application of SAS/ACCESS Software & DCL to Simplify Management and Analysis of Clinical Data For In Vitro Diagnostic Medical Devices |
Denise Cervelli |
|
6 |
| NESUG |
1997 |
Managing SAS Data Resources in the Display Manager Environment |
Larry Gertzog |
|
4 |
| NESUG |
1997 |
Mining Your Data for Health Care Quality Improvement |
Greg Rogers |
|
7 |
| SEUGI |
1997 |
A data management system for use in the pharmaceutical and biotechnology Industries |
Ellen Krantz |
source |
12 |
| SEUGI |
1997 |
Monitoring the market using a data warehouse and a decision support system |
Leena Heikkinen |
source |
32 |
| SEUGI |
1997 |
The future of data warehousing |
Sean Kelly |
source |
28 |
| PharmaSUG |
1997 |
An Application of the Internet-based Automated Data Management System (IADMS) for a Multi-Site Public Health Project |
Michele G. Mandel,
Robert E. Schwartz Jr.,
Steven A. Kinchen |
|
6 |
| PharmaSUG |
1997 |
ClinAccess: An Integrated Client/Server Approach to Clinical Data Management and Regulatory Approval |
Martin J. Rosenberg |
|
9 |
| PharmaSUG |
1997 |
Clinical Software Systems Development in SAS/AF |
Carl R. Haske |
|
11 |
| PharmaSUG |
1997 |
Statistical Programming Workflow Process Improvement at Fujisawa USA |
Jay Erdman,
Paul M. Gilbert |
|
4 |
| SUGI |
1997 |
Data Set Management Procedures for Developing a Prevention and Counseling Database |
Sean W. Mulvenon,
Sherry Ceparich,
Barbara Weber,
Arlene Metha |
source |
3 |
| SUGI |
1997 |
Mining Your Data for Health Care Quality Improvement |
Greg Rogers,
Ellen Joyner |
source |
7 |
| SUGI |
1997 |
Performance Testing for SAS Running on AIX and Windows NT Platforms |
Paul M. Gilbert,
Steven Light,
Andy Siegel,
Shylendra Kumar |
source |
6 |
| SUGI |
1997 |
Successful Business Intelligence Systems: Improving Information Quality with the SAS System |
W. Droogendyk,
L. M. Harschnitz |
source |
6 |
| 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 |
| SESUG |
1996 |
Mission Impossible: The Trials of SAS Support in a Health Care Research Group |
Miriam W. Rosenblatt |
|
6 |
| SESUG |
1996 |
VMS Environment and SAS Language Applications: Getting the Best of Both Worlds |
M. Rita Thissen |
|
11 |
| NESUG |
1996 |
Quality Assurance and The SAS System |
Thalene T. Mallus |
|
10 |
| MWSUG |
1996 |
Clinical Data Management Using SAS/AF |
Carl R. Haske |
|
8 |
| 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 |
AKHSTAT - a hospital data warehouse |
Peter Seelig |
source |
13 |
| SEUGI |
1996 |
CPE an experience |
Patricia Mol |
source |
20 |
| SUGI |
1996 |
An Integrated Clinical Data Management System in SAS |
Carl R. Haske |
source |
6 |
| SUGI |
1996 |
ClinAccess: An Integrated Client/Server Approach to Clinical Data Management and Regulatory Approval |
Martin J. Rosenberg |
source |
9 |
| SUGI |
1996 |
Data Management in Clinical Trials Made Easy |
Fiona Campbell-Daigle |
source |
4 |
| SUGI |
1996 |
Mission Impossible: The Trials of SAS Support in a Health Care Research Group |
Miriam W. Rosenblatt |
source |
6 |
| SCSUG |
1995 |
Portable SOPs for Contract SAS Programmers and Consultants |
Bill Calvert |
|
6 |
| MWSUG |
1995 |
A Historical Perspective of SAS's Future |
Rick Nicola |
|
5 |
| NESUG |
1995 |
Cooperative File Interfaces: How SAS & BMDP Can Work Together On VAX/VMS |
Thalene T. Mallus |
|
10 |
| WUSS |
1995 |
ClinAccess: An Integrated Client/Server Approach to Clinical Data Management and Regulatory Approval |
Martin J. Rosenberg |
source |
9 |
| SEUGI |
1995 |
PQRST, a Clinical Trial |
Inger Malmaeus |
source |
6 |
| SUGI |
1995 |
Click, Click, Click: Redesigning a Business Process Using FRAME Objects in SAS/ AF Software |
Deborah A. Testa,
Karen M. Michiels,
Thomas K. Lim |
source |
4 |
| SUGI |
1995 |
Empower Your User Community with a SAS Information Warehouse |
Stephen C. Scott |
source |
10 |
| SUGI |
1995 |
Human Resources Management System Architecture |
Steve Beckner |
source |
4 |
| SUGI |
1995 |
The Intricate Organization and Management of Clinical Research Laboratory Samples Using SAS/AF |
Jacqueline A. Wendel,
Daniel Nosek |
source |
6 |
| SUGI |
1995 |
Turning On the Power of Data Management Windows |
Priscilla E. Van Grevenhof |
source |
5 |
| SCSUG |
1994 |
Using the SAS System to Help Manage Data |
Clarence W. Jackson |
|
4 |
| NESUG |
1994 |
Managing Clincial Lab Data with SAS/aF - an Outline Demonstration |
Eric C. Brinsfield,
Brad Klenz |
|
4 |
| NESUG |
1994 |
Using SAS with Oracle Products for Database Management and Reporting |
Henry W. Buffum,
Darryl J. Keith |
|
7 |
| MWSUG |
1994 |
Turning On the Power of Data Management Windows |
Priscilla Van Grevenhof |
|
6 |
| SEUGI |
1994 |
Data Management of Clinical Studies |
Magdolna Kiss |
source |
6 |
| SUGI |
1994 |
A Case Study in the Use of SAS/PH-Clinical for an Electronic Regulatory Submission of a Megatrial |
Kathy R. Boussina,
Dorene M. Emmrich,
Guy Pawson,
Alan Hopkins |
source |
11 |
| SUGI |
1994 |
Converting Mainframe Technical Information Resources to a Distributed Environment Using SAS: Two Case Studies |
Kalman J. Gyirnesi,
Gregg A. Spindler,
Richard A. DeVenezia |
source |
5 |
| SUGI |
1994 |
Developing an Air Quality Data Management System |
Patricia Tobin |
source |
7 |
| SUGI |
1994 |
Interactive Data Management and Analysis Using JMP Software, SAS Software, and OpenVMS in a Networked User-Friendly Environment |
David N. Ikle,
William F. Kastner |
source |
5 |
| SUGI |
1994 |
Managing Clinical Lab Data with SAS/ AF Software - an Online Demonstration |
Eric C. Brinsfield,
Bradley W. Klenz |
source |
4 |
| SUGI |
1994 |
Managing Large Financial Data with Ease: CRSP, COMPUSTAT, Etc., with SAS |
Paul J. Ratnaraj,
Carol M. Katzman |
source |
5 |
| SUGI |
1994 |
SAS/CPE Software for OpenVMS An Enterprise-Wide Solution |
Virginia M. Dineley |
source |
2 |
| SEUGI |
1993 |
Client/Server Architectures |
Tony Percy |
source |
24 |
| SEUGI |
1993 |
SAS/GIS Software |
Ulrike Scheuble |
source |
5 |
| SUGI |
1993 |
Universal Data Access: A Success Story |
Bruce Babbitt,
Marianna Suciu,
Emily P. Wallace |
source |
5 |
| SESUG |
1993 |
Auto-Editing: A Data Management Tool for Research |
William S. Calvert |
|
6 |
| SESUG |
1993 |
How to Build an Executive Information System (EIS) |
Alberto Cordoba |
|
4 |
| SUGI |
1992 |
A SASS Interface to System 1032: Writing a User-Maintainable Interface to Data Management Systems |
Allan D. Rosen |
source |
5 |
| SUGI |
1992 |
Design Features of a Clinical Information System |
Bernadette H. Johnson |
source |
6 |
| SUGI |
1992 |
Resource Usage and Capacity Management in Large UNIX Environments |
Robert K. Newman |
source |
7 |
| SUGI |
1992 |
Running the Business: Financial Management with the SAS System |
Jeff Babcock |
source |
14 |
| SUGI |
1992 |
Use of SAS/AF and SAS/FSP Software to Integrate a Payment System for Patient Information in a Large Multi-Center Clinical Trial |
Dorothea Collins,
Margaret Lee |
source |
6 |
| SUGI |
1992 |
Using SAS Software to Teach a University Course in Statistical Computing and Database Management |
John L. Wasik |
source |
6 |
| SUGI |
1991 |
Three Year Follow-up of a Transition from a Mainframe to a PC Computing Environment Using SAS Software |
Ray Palmer,
Clyde Dent |
source |
3 |
| NESUG |
1990 |
Solving Business Needs as a Team |
Roger L. Crouce |
|
7 |
| SEUGI |
1990 |
SAS/ASSIST Software: A Programmer's View |
Jan Bakker,
Philip J. Winters |
source |
7 |
| SUGI |
1990 |
Solving Business Needs as a Team |
Roger L. Crouse |
source |
6 |
| SEUGI |
1989 |
The Version 6 MVS SAS Data Library Architecture |
Susan Marshall |
source |
6 |
| SUGI |
1989 |
A Data Management System for Remote Medical Studies Using the SAS System |
Timothy L. Cannon,
Gene O. Nelson,
Dwayne D. Oland,
David M. Warren |
source |
3 |
| SUGI |
1989 |
Expectations for a Fourth Generation Language |
Darius S. Baer |
source |
10 |
| SUGI |
1989 |
SAS Software and IBM Corporation's DB2: An End User Computing Strategy |
Thomas A. Miron |
source |
4 |
| SUGI |
1989 |
SAS/ASSIST' Software: Bringing the Power of the SAS System to the User |
Brenda Erickson,
Tammy L. Gagliano,
Gail Kramer,
Katherine J. Roggenkamp |
source |
6 |
| SUGI |
1989 |
The Version 6 MVS SAS Data Library Architecture |
Brian Bowman |
source |
8 |
| SEUGI |
1988 |
A Way to Realize a Poster (33 x 46) SAS/GRAPH |
Isabelle Launay,
Myriam Cosson |
source |
12 |
| SEUGI |
1988 |
The Role of the SAS System within the Software Base of a Scientific Community |
Mark Venn,
Nick Teall |
source |
7 |
| SUGI |
1988 |
A DataEase' to SAS Interface |
Frank E. Harrell Jr.,
Lawrence H. Muhlbaier |
source |
5 |
| SUGI |
1988 |
Creating and Editing SYSTEM 2000 Data Bases Using the FSEDIT Procedure |
Barbara A. Barrett |
source |
4 |
| SUGI |
1988 |
Creative Uses of Information Systems |
Kirk Paul Lafler |
source |
5 |
| SUGI |
1988 |
Helping Naive Users: An Expert System to Prepare Initial SAS Analysis |
David King,
Shoko Tsuji,
Laurie Zant |
source |
4 |
| SEUGI |
1987 |
Effective Use of SAS Software In a Large-Scale Sample Survey |
Risto Lehtonen |
source |
15 |
| SUGI |
1987 |
Controlling the SAS System and Its Users An Information System Tutorial |
Thomas R. Hoffman |
source |
5 |
| SUGI |
1987 |
Using WINDOW and DISPLAY in the SAS System for PCs for the Patient Registry of the VA Coronary Artery Surgery Study |
Gary R. Johnson |
source |
5 |
| SEUGI |
1986 |
An Introduction to SAS/IML Software, an Interactive Matrix Language |
Mogens Weinreich |
source |
8 |
| SEUGI |
1986 |
Management of Cancer Registry Data with SAS |
D. Bakker,
L. van deer Heijden |
source |
4 |
| SUGI |
1986 |
Data Management of a Home Blood Pressure Monitoring Study Using SAS Software |
Irene Tekawa |
source |
6 |
| SUGI |
1985 |
A Parameter Passing Utility for SAS Programs |
Paul M. Gilbert,
Mark Klompas,
David J. O'Sullivan |
source |
5 |
| SUGI |
1985 |
Development of a Data Management System for Long-term Ecological Research |
Marvin F. Marozas,
Robert A. McLaughlin,
William K. Michener |
source |
6 |
| SUGI |
1985 |
The Current and Potential Role of the SAS System in Industrial Applications |
James F. Sattler,
Joshua Sharlin |
source |
12 |
| SEUGI |
1984 |
Personal Computing - SAS or the Micro |
Gordon Walker |
source |
3 |
| SUGI |
1984 |
A General Approach to Decision Support Systems Utilizing the SAS System |
William Ingram III,
Thomas P. Rothrock |
source |
7 |
| SUGI |
1983 |
Management Information Systems: An Environmetrics Approach |
Karen L. Daniels,
Michael P. Farrell,
Jonathan C. Goyert,
Rodney H. Strand |
source |
4 |
| SUGI |
1983 |
RAQL-An Evolution in SAS Data Management |
David Burrage,
Michael Gilman |
source |
4 |
| SUGI |
1983 |
Reducing Maintenance Costs for SAS-based Systems |
Wayne Beekman,
Cary Toor |
source |
8 |
| SUGI |
1983 |
SAS for Beginners |
Eileen Driscoll |
source |
6 |
| SUGI |
1983 |
SAS, A Truly International Software Package? |
Akira Kondo |
source |
4 |
| SUGI |
1983 |
Transferring and Processing a "Very Large "Data Set from a PDP 11/34 to an IBM 360/370 |
Keith E. Muller,
Kathleen J. Seiple |
source |
6 |
| SUGI |
1983 |
Using SAS for Management of Research Resources |
Rosilind L. Ibrahim |
source |
6 |
| SUGI |
1982 |
Data Management in Clinical Trials Using VM/SP, CMS, and SAS |
David I. Hopp,
Robert W. Staley |
source |
|
| SUGI |
1982 |
Improving the Data Management Expertise of Experienced SAS Users |
Joshua Sharlin |
source |
6 |
| SUGI |
1982 |
Maintaining Data Audit Trails in a SAS Based Research Data Management System |
David H. Christiansen,
James D. Hosking |
source |
6 |
| SUGI |
1982 |
Management of SAS Based Data Analysis |
Wm. Ford Calhoun,
James Holt |
source |
4 |
| SUGI |
1982 |
Managing "Not Small "Datasets in a Research Environment |
Jeffrey S. Bass,
Keith E. Muller,
J.C. Smith |
source |
6 |
| SUGI |
1981 |
Data Management Problems with a Large Medical Survey |
Henry A. Anderson,
Wm. Ford Calhoun,
Douglas Dorph,
James Holt |
source |
|
| SUGI |
1981 |
Management of Quality Assurance Controls: Decision Support Systems |
Michael P. Farrell,
Rodney H. Strand |
source |
5 |
| SUGI |
1981 |
On the Role of Redundant Information in Error Detection |
Ronald W. Helms |
source |
5 |
| SUGI |
1981 |
Processing 1980 Census Data: SAS versus CENSPAC |
Frank C. Dilorio,
Kenneth A. Hardy,
Judith M. Poole |
source |
|
| SUGI |
1981 |
SAS Applications for Personnel Data Analysis |
Frank Marangell |
source |
5 |
| SUGI |
1981 |
SAS as an Interactive Information Management System |
Larry Hoover |
source |
4 |
| SUGI |
1981 |
Solutions for Two Data Management Problems: Data Definitions and Updating |
Leonard Blavatnik,
Wm. Ford Calhoun,
Douglas Dorph |
source |
4 |
| SUGI |
1981 |
Using the SIR Data Management System as a Complement to SAS |
Jonathan Arlook |
source |
|
| SUGI |
1980 |
A Statistical Report Generator System Using SAS as Foundation Software |
Misa Gratton |
source |
|
| SUGI |
1980 |
Panel Discussion: The Role of the SAS Consultant in a User Community |
Mason B. Nichols,
William L. Sanders,
Daniel B. Shapiro |
source |
|
| SUGI |
1980 |
Regional Ecological Analysis and Data Base Applications |
Martha K. Nungesser,
Richard J. Olson |
source |
6 |
| SUGI |
1979 |
A Case Management System for the New Jersey Public Employment Relations Commission |
Nancy Begin,
Barbara E. Kemmerer |
source |
3 |
| SUGI |
1979 |
Development of a SAS Data Management System for the Germplasm Collection at the Asian Vegetable Research and Development Center (AVRDC) |
John N. Hubbell Jr. |
source |
4 |
| SUGI |
1979 |
Environmental Data: Management and Analysis Considerations |
Rodney H. Strand |
source |
6 |
| SUGI |
1979 |
Providing Data Processing Support with SAS |
William M. Parker |
source |
6 |
| SUGI |
1979 |
SAS Used for Data Management and Mathematical Analysis of a Flow Microflourometry Histograms |
Warren Curry,
William Ingram III,
Dennis C. Lezotte |
source |
5 |
| SUGI |
1979 |
The "Critical Mass "Concept |
John F. Duffy |
source |
4 |
| SUGI |
1979 |
The Role of SAS in the Support of Clinical Studies in Medicine |
J. Philip Miller |
source |
6 |
| SUGI |
1978 |
History, Problems and Practical Applications of SAS in a Large Industrial Organization |
Maxine B. Potter |
source |
4 |
| SUGI |
1977 |
SAS 76 in Public Health Research |
Robin Layland |
source |
3 |
| SUGI.ONE |
1976 |
Data Management for Environmental Research |
Rodney H. Strand |
source |
18 |
| SUGI.ONE |
1976 |
Statistical and Data Support to a Heterogeneous User Community |
Marion C. Carter,
Richard C. Roistacher |
source |
14 |
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