| PharmaSUG CN |
2026 |
A Dual-Harness Workflow to Wrap AI into Observable, Reusable Clinical Table Delivery: From SAP Intent to Shell-Aligned Execution |
Wenjun Zhu |
source |
14 |
| PharmaSUG CN |
2026 |
An Integrated, AI-Augmented R Shiny Platform for Oncology Clinical Trial Decision Intelligence: From CDISC Data to Go/No-Go in One Unified Hub |
Zhiping Yan |
source |
28 |
| PharmaSUG |
2026 |
Early Unblinding to Pharmacometrics (PMx) Data: Challenges, Practices, and Benefits |
Shweta Vadhavkar, Jing Su |
source |
6 |
| PharmaSUG |
2026 |
Enhancing ADaM Specification Validation and Generation of SAS Codes Using LLM through Amazon Bedrock: A Practical Framework |
Pavan Kumar Tatikonda, Ryo Nakaya, Sravan Kongara |
source |
10 |
| PharmaSUG |
2026 |
Structure for Success: Delivering a Complex, Accelerated NDA with Evolving Scope |
Tingting Tian, Chao Su, Erica Davis |
source |
4 |
| PHUSE US |
2026 |
Building Cross-Functional Regulatory and Programming Alignment for Successful Submissions |
Ben Kaspar, Stephine Keeton |
source presentation source |
6 |
| PHUSE US |
2026 |
CDISC 360i Demo: Automating from Study Design to Submission |
Darren Moreland |
source presentation source |
6 |
| PHUSE US |
2026 |
Open Source Pavilion: Metadata-driven Automation Interactive [presentation] |
Orla Doyle, Rammprasad Ganapathy |
source |
28 |
| PHUSE APAC |
2026 |
"GROWTH GROWS" too – in the professional world! Are we prepared for the change?? |
Charan Kumar, Anu Sivanesan |
source presentation source |
7 |
| PHUSE APAC |
2026 |
CDISC 360i In Action – Demonstrating the Shift to Fully Digital Standards [presentation] |
Darren Moreland, Julie Smiley, Bhavin Busa, Peter Van Reusel |
source |
11 |
| PHUSE APAC |
2026 |
CDISC 360i – Lessons Learned and Road Ahead [presentation] |
Peter Van Reusel |
source |
26 |
| PHUSE APAC |
2026 |
Crafting a recipe for success : Aligning Target Product Profiles and study design to ensure statistical significance translates to clinical relevance and role of DGF |
Soumitra Kar, Novo Nordisk GBS |
source presentation source |
9 |
| PHUSE APAC |
2026 |
E2E Clinical Metadata Journey: 'Single Source of Truth' to Accelerate Clinical Research - From Collection and Tabulation to Analysis and Reporting |
Indumathi Narasetty |
source presentation source |
9 |
| PHUSE EU |
2025 |
Interactive Insights: Leveraging R Shiny for Enhanced Data Visualisation in Clinical Trial Readouts [presentation] |
Carolyn Fisher, Elisabeth Deutschmann |
source |
20 |
| PHUSE EU |
2025 |
SAMBA: Bridging the Gap How GenAI Transforms Analysis Plans into ADaM Specs [presentation] |
Thiago Figueiredo, Richard Becker |
source |
19 |
| PHUSE EU |
2025 |
Showcasing a Shiny Tool for Evaluating Biomarkers for Derisking Clinical Trials |
Stefan Thoma |
source presentation source |
9 |
| PharmaSUG |
2025 |
Application of advanced GenAI tools in sample size estimation - questions and thoughts |
Igor Goldfarb, Ella Zelichonok |
source |
12 |
| PHUSE US |
2025 |
Enable and Automate: A Technical Roadmap Defining CDISC's Path to End-to-End Automation |
Samuel Hume |
source presentation source |
8 |
| PHUSE EU |
2024 |
Clinical Disease Endpoint Flag Implementation for Vaccine Studies |
Charumathy Sreeraman |
source presentation source |
7 |
| PHUSE EU |
2024 |
Connecting Standard from Design to Analysis to Submission: Finishing the CDISC 360 Vision [presentation] |
Peter Van Reusel |
source |
25 |
| PHUSE EU |
2024 |
Why Are Old Wines Sometimes Tastier Than New Ones? |
Lars Andersson, Henning Pontoppidan Föh |
source presentation source |
10 |
| PharmaSUG |
2024 |
Agile, Collaborative, Efficient (ACE): A New Perspective on Data Monitoring Committee Data Review Preparation |
Ke Xiao |
source |
6 |
| PharmaSUG |
2024 |
Generative Artificial Intelligence in sample size estimation - challenges, pitfalls, and conclusions |
Igor Goldfarb, Vikas Sharma |
source |
26 |
| PharmaSUG |
2024 |
Interfacing with Large-scale Clinical Trials Data: The Database for Aggregate Analysis of ClinicalTrials.gov |
Joshua J. Cook, Achraf Cohen |
source |
16 |
| PharmaSUG |
2024 |
PHUSE Safety Analytics Working Group - Overview and Deliverables Update |
Nancy Brucken, Mary Nilsson, Greg Ball |
source |
5 |
| PharmaSUG |
2024 |
Recruiting Neurodivergent Candidates using the Specialisterne Approach |
Patrick Grimes |
source |
5 |
| PHUSE US |
2024 |
A Programmer's Perspective on Navigating the Hurdles of Investigator-Sponsored Research (ISR) Trials |
Jyotsna Lakshmikumar |
source presentation source |
6 |
| 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 EU |
2023 |
Innovating the Leadership Toolkit Through Design Thinking [presentation] |
Marten Krijgsman, James McDermott |
source |
65 |
| PharmaSUG |
2023 |
PHUSE Safety Analytics Working Group - Overview and Deliverables Update |
Nancy Brucken, Clio Wu, Mary Nilsson, Greg Ball |
source |
5 |
| PharmaSUG |
2023 |
Shifting the drug development paradigm with Adaptive Design and master protocol |
Aman Bahl |
source |
16 |
| PharmaSUG |
2023 |
We Can Work it Out: Dos and Don-ts for Small Biotech and CRO NDA/BLA submission partnership |
Charity Quick, Jiaan Illidge |
source |
8 |
| PHUSE US |
2023 |
CDISC CORE - Milestones, Status and Roadmap |
Peter Van Reusel |
source presentation source |
9 |
| PHUSE US |
2023 |
Handling Multiple Adaptations in One Clinical Trial |
Parvee Kumar, Shrutimita Pokhariyal |
source presentation source |
6 |
| PHUSE US |
2023 |
PHUSE Safety Analytics Working Group - Overview and Summary of Ongoing Projects [poster] |
Clio Wu, Mary Nilsson |
source |
1 |
| PHUSE EU |
2022 |
Processing Data and Documents with Natural Language Processing and Quantitative Anonymisation Strategies in Support of CTIS Disclosure Requirements [presentation] |
Elliot Zimmerman, John Lyons |
source video |
25 |
| PHUSE EU |
2022 |
R Shiny Apps: To QC or Not to QC? [presentation] |
Katie Withycombe |
source video |
19 |
| PHUSE EU |
2022 |
The Role of Data Analytics Functions in Studies Utilising RWD for Submissions [presentation] |
Mark Graham, Ravi Bahia |
source video |
15 |
| PharmaSUG |
2022 |
Analysis of sample size calculations in clinical trial - errors, pitfalls and conclusions |
Igor Goldfarb, Ritu Karwal, Xiaohua Shu |
source |
14 |
| PHUSE EU |
2021 |
Standing Room Only: AR02: The Importance of Being Ernest - The Role of QTLs in QbD [presentation] |
Andrew Lawton |
source |
19 |
| SESUG |
2021 |
Missing Value Imputation |
Ross Bettinger |
source |
34 |
| PHUSE US |
2021 |
Automation of a Web-based Metadata Repository for SAS Datasets with Selenium Technology [presentation] |
Eugene Tsykalov |
source video |
14 |
| PharmaSUG |
2021 |
Challenges and Solutions for an ISM Development |
Si Ru Tang, Yanhong Li |
source |
9 |
| PHUSE EU |
2020 |
A Programmer's Journey Through an Early Oncology Adaptive Platform Trial [presentation] |
Rafi Rahi |
source video |
20 |
| PHUSE EU |
2020 |
Pre-screening Process Flow [poster] |
Eva Joossens, Jothi Suresh |
source video |
1 |
| PHUSE EU |
2020 |
SUPPQUAL Datasets: The Good, the Bad and the Ugly [presentation] |
Sergiy Sirichenko |
source video |
40 |
| PHUSE EU |
2020 |
The TransCelerate Hackathon: Accelerating Development [presentation] |
Johannes Ulander |
source video |
26 |
| SESUG |
2020 |
Analysis and Reporting of Reactogenicity Events in Vaccine Clinical Trials |
Amarnath Vijayarangan, Sarah G. Anderson, Santhiya Poongavanam |
source |
9 |
| PHUSE US |
2020 |
Industry Experiences Submitting Standardized Study Data to Regulatory Authorities |
Janet Low, Vincent Guo |
source presentation source |
12 |
| SESUG |
2019 |
Validating Classification and Recidivism in Corrections Through Outcome Analytics |
Alan R. Mann |
source |
34 |
| PharmaSUG |
2019 |
Jump Start your Oncology knowledge |
Xiaoyin Zhong, Feng Liu |
source |
9 |
| PharmaSUG |
2019 |
The Anatomy of Clinical Trials Data: A Beginner's Guide |
Venky Chakravarthy |
source |
14 |
| PHUSE US |
2019 |
Striking a Balance: Adoption of Analysis Results Metadata (ARM) in Early Development Studies |
Janet Low, Pranab K. Mitra |
source presentation source |
6 |
| PHUSE EU |
2018 |
How Do You Determine #SDTMs, ADaMs and TFLs and Their Impact on Outsourcing? |
Roy Ward |
source presentation source |
10 |
| PHUSE US |
2018 |
Comparing and Contrasting Differences between the PHUSE SDSP and CBER Checklist |
Janet Low, Pritesh Solanki |
source presentation source |
5 |
| PHUSE US |
2018 |
Updates from the EMA Technical Anonymization Group & Policy 0070 |
Cathal Gallagher, Chris Decker |
source |
4 |
| PharmaSUG |
2018 |
Preparing the Office of Scientific Investigations (OSI) Requests for Submissions to FDA |
Zihui Lin, Wei Cui, Yaling Teng, Ran Li |
source |
9 |
| SGF |
2018 |
The Anatomy of Clinical Trials Data: A Beginner's Guide |
Venky Chakravarthy |
source |
14 |
| PHUSE EU |
2017 |
EMA Policy 0070: Data Utility in Anonymized Clinical Study Reports (CSRs) |
Jean-Marc Ferran, Sarah Nevitt |
source |
23 |
| PharmaSUG |
2017 |
Awareness from Electronic Data Submission to PMDA and FDA -- Lesson & Learnt from hands-on experiences -- |
Yuichi Nakajima, Takashi Kitahara, Ryan Hara |
source |
12 |
| SGF |
2017 |
Kerberos Cross-Realm Authentication: Unraveling the Mysteries |
Stuart J. Rogers |
source |
18 |
| SGF |
2017 |
Telling the Story of Your Process with Graphical Enhancements of Control Charts |
Bucky Ransdell |
source |
13 |
| PHUSE EU |
2016 |
Coding WHO-DDE: An Automatic, Easy and Powerful SAS Tool |
Gianluca Mortari |
source presentation source |
11 |
| PHUSE EU |
2016 |
Japanese Electronic Submission in CDISC Formats |
Takashi Kitahara |
source presentation source |
8 |
| MWSUG |
2016 |
Frequentist and Bayesian Interim Analysis in Clinical Trials: Group Sequential Testing and Posterior Predictive Probability Monitoring Using SAS |
Kechen Zhao |
|
14 |
| PharmaSUG |
2016 |
Delivering a quality CDISC compliant accelerated submission using an outsourced model |
Mei Dey, Diane Peers |
source |
8 |
| PharmaSUG |
2016 |
Importance of Niche Provider for Successful NDA Submission: Rescue Case Study |
Aparna Poona, Bhavin Busa, Tim Southwick |
source |
9 |
| SGF |
2016 |
Personal Lending: Customer Credit and Pricing Optimization |
Yuri Medvedev |
source |
19 |
| SCSUG |
2015 |
Using SAS Software to Determine the Mixed Rotterdam Demand Model Parameters and Test Statistical References |
Maryam Tabarestani, Hector Zapata |
|
23 |
| PHUSE EU |
2015 |
Is R the Right Tool for Me? [presentation] |
Peter Bewerunge |
source |
23 |
| PHUSE EU |
2015 |
Understanding Trial Design Using Visualisation |
Maria Benjegard, Kerstin Forsberg |
source presentation source |
21 |
| PharmaSUG |
2015 |
A Web-Based Approach to Fighting Analysis Chaos |
Gordon Fancher, Rajeev Karanam, Shawn Hopkins |
source |
7 |
| PharmaSUG |
2015 |
CRO, TLF, SOP? OMG!: A Beginner's Guide to the Clinical Research Organization |
Mandy Bowen, Otis Evans, Stephen Terry |
source |
7 |
| PharmaSUG |
2015 |
Update: Development of White Papers and Standard Scripts for Analysis and Programming |
Nancy Brucken, Michael Carniello, Mary Nilsson, Hanming Tu |
source |
4 |
| PHUSE EU |
2014 |
A Vision for the Future: Core Competencies for Statisticians and Programmers [presentation] |
James R. Johnson |
source |
26 |
| PHUSE EU |
2014 |
Creating Standard Analyses and Displays for Common Safety Assessments in Clinical Study Reports |
Mary Nilsson, Ann Croft |
source presentation source |
3 |
| PHUSE EU |
2014 |
Drug Exposure Plot: Tailored Approach to Display Ongoing Data |
Mathias Lebreton |
source presentation source |
12 |
| PHUSE EU |
2014 |
Submitting Summary Level Site Data: Overview, Implementation and Case Studies |
Robert F. Woolson, Jeffrey M. Abolafia, Ben Vaughn |
source presentation source |
9 |
| PHUSE EU |
2014 |
Update on Regulatory Guidance: Data Standardisation Planning for Clinical Development Programs |
James R. Johnson |
source presentation source |
10 |
| PharmaSUG |
2014 |
Update: Development of White Papers and Standard Scripts for Analysis and Programming |
Nancy Brucken, Michael Carniello, Mary Nilsson, Hanming Tu |
source |
3 |
| PHUSE EU |
2013 |
Orphan Indication Therapies: Programming for a Patient Population without Options [presentation] |
Todd Case |
source |
24 |
| PHUSE EU |
2013 |
Posch-Bauer Seamless Test with SAS |
Antonio Nieto, Javier Gómez |
source presentation source |
4 |
| PharmaSUG |
2013 |
SAS Programmer to Clinical SAS Programmer |
Gayatri Karkera, Nehan Mohan |
source |
7 |
| PHUSE EU |
2012 |
Bootstrap simulations to estimate Overall Survival based on the distribution of a historical control |
Antonio Nieto, Javier Gómez |
source presentation source |
7 |
| SESUG |
2012 |
An Introduction to the Clinical Standards Toolkit |
Mike Molter |
source |
13 |
| PharmaSUG |
2012 |
An Introduction to the Clinical Standards Toolkit and Clinical Data Compliance Checking |
Mike Molter |
source |
14 |
| SGF |
2012 |
At Your Self-Service: One Organizations Journey from Mainframe Reporting to Enterprise Business Intelligence |
Cheryl Sivertson |
source |
10 |
| SGF |
2012 |
Graphing Made Easy with SG Procedures |
Lora D. Delwiche, Susan J. Slaughter |
source |
19 |
| WUSS |
2011 |
Graphing Made Easy with SG Procedures |
Susan J. Slaughter |
source |
18 |
| PHUSE EU |
2011 |
Programming for Early and Late Phase - really that different? |
Katherine Macey |
source presentation source |
6 |
| SGF |
2011 |
Graphing Made Easy with Output Delivery System (ODS) Graphics Procedures |
Susan J. Slaughter, Lora D. Delwiche |
source |
18 |
| NESUG |
2010 |
ClinicalTrials.gov: Creating an XML upload from SAS |
Daniel J. Boisvert, Andy Illidge, Troy A. Ruth |
|
11 |
| WUSS |
2010 |
It's All about Variation: Improving Your Business Process with Statistical Thinking |
Robert N. Rodriguez |
source |
18 |
| PHUSE EU |
2010 |
A Case Study in Using Unit Testing as a Method of Primary Validation |
Ross Farrugia |
source presentation source |
12 |
| PHUSE EU |
2010 |
AstraZeneca and Quintiles Prgramming Groups - working collaboratively |
Elizabeth Latta, Paul Westley |
source poster source |
8 |
| PHUSE EU |
2010 |
Challenges of Clinical projects shared between Pharma Companies [presentation] |
Oliver LeConte |
source |
27 |
| PHUSE EU |
2010 |
The Ultimate Integration Challenge |
Jennifer Choon-Moi Chin, Hester Schoeman |
source presentation source |
11 |
| MWSUG |
2010 |
It's All about Variation: Improving Your Business Process with Statistical Thinking |
Robert N. Rodriguez |
|
18 |
| MWSUG |
2010 |
Using PROC SGPLOT for Quick, High-Quality Graphs |
Lora D. Delwiche, Susan J. Slaughter |
|
20 |
| PharmaSUG |
2010 |
ClinicalTrials.gov: Creating an XML upload from SAS |
Daniel J. Boisvert, Andy Illidge, Troy A. Ruth |
|
11 |
| PharmaSUG |
2010 |
Using PROC SURVEYMEANS to determine the dispensing time of prescriptions in pharmacies in South Africa: A user's perspective |
Martie Lubbe, Faans Steyn |
|
12 |
| SGF |
2010 |
It's All about Variation: Improving Your Business Process with Statistical Thinking |
Robert N. Rodriguez |
source |
18 |
| SGF |
2010 |
Using Dynamic and Cascading Prompts in SAS Enterprise Guide |
Kevin Davidson, Minh Duong |
source |
14 |
| SGF |
2010 |
Using PROC SGPLOT for Quick, High-Quality Graphs |
Susan J. Slaughter, Lora D. Delwiche |
source |
20 |
| SCSUG |
2009 |
Using Dynamic and Cascading Prompts in Enterprise Guide |
Kevin Davidson, Minh Duong |
|
18 |
| PHUSE EU |
2009 |
Clinical Database acceptance: what statistical review checks are necessary to validate a database? |
Genevieve Jehl |
source |
12 |
| PHUSE EU |
2009 |
Does a Sponsor Clinical Trial Reporting System Fit Into a Sponsor/CRO Alliance? |
Kerry Gordon, John Salkeld |
source presentation source |
22 |
| PHUSE EU |
2009 |
Using the ODS Graphics Designer to Create Your Own Template |
Philip R. Holland |
source |
11 |
| PHUSE EU |
2009 |
Working Effectively in a Globally Dispersed Tea |
Gary Hearfield |
source |
22 |
| WUSS |
2009 |
Using PROC REPORT to Cross-Tabulate Multiple Response Items |
Patrick Thornton |
source |
5 |
| WUSS |
2009 |
Using PROC SGPLOT for Quick, High-Quality Graphs |
Susan J. Slaughter, Lora D. Delwiche |
source |
19 |
| SGF |
2009 |
Best Practice: Optimizing the Cube Build Process in SAS 9.2 |
Mary Simmons, Michelle Wilkie |
source |
12 |
| SGF |
2009 |
Secrets of the SG Procedures |
Dan Heath |
source |
19 |
| SGF |
2009 |
Troubleshoot Your Performance Issues: SAS Technical Support Shows You How |
Michael Williams, Gretel Easter, Steve Bradsher |
source |
12 |
| PharmaSUG |
2008 |
Experiences Submitting CDISC SDTM and Janus Compliant Datasets |
Carol Vaughn, Gregory Ridge, William Friggle |
|
10 |
| PharmaSUG |
2008 |
EZTABLE Macros |
Daniel Huang |
|
12 |
| PHUSE EU |
2007 |
WEB-TRIAGE: Application for patient registration in ph I studies |
Angelo Tinazzi, Lucio Ferraresi |
source |
10 |
| SGF |
2007 |
Using SAS to Determine Sample Sizes for Traditional Two-Stage and Adaptive Two-Stage Phase II Cancer Clinical Trial Designs |
St. Clare Groulx, Adrienne Moon, Kyung-hee Chung |
source |
9 |
| MWSUG |
2006 |
Nonparametric Inference for Ordered Alternatives in a One-Way Layout Using |
Paul Juneau |
|
15 |
| PharmaSUG |
2005 |
Calculating Posterior Probability of the Maximum Contrast Using PROC IML |
Akira Wakana, Isao Yoshimura, Chikuma Hamada |
|
6 |
| SCSUG |
2004 |
A SAS/OR Primer on Using PROC LP |
Michael E. Salassi |
|
14 |
| SUGI |
2004 |
SAS SPM Solution for Healthcare: Quallity Improvement for Providers Using Statistical Process Control |
Robert N. Rodriguez, Susan B. Lewellen |
source |
28 |
| SESUG |
2003 |
A SAS Macro to Design Phase II Clinical Trials |
Alan B. Cantor, Moffitt Cancer |
source |
2 |
| SEUGI |
2003 |
Advanced Warehousing & Analytics for the Global Capital Markets [presentation] |
Bob Giffords |
source |
19 |
| SEUGI |
2003 |
Intelligence at the Heart of Retail [presentation] |
Chris Dunk |
source |
38 |
| SEUGI |
2003 |
SAS Credit Scoring In-House Scorecard Development Project [presentation] |
Helena Junqueiro, Henrik Wagner |
source |
40 |
| SEUGI |
2003 |
Using Activity based management analysis to determine and increase profitability in utilities [presentation] |
Brian Plowman |
source |
39 |
| SUGI |
2003 |
Flip the Bow Tie: Pushing Business Intelligence to Operational Applications |
Larry D. Bramblett |
source |
6 |
| WUSS |
2002 |
A Strategy for Integrating SAS System Results with Microsoft Word |
Patrick Thornton |
source |
6 |
| SEUGI |
2002 |
Data Mining In A Zero Latency Enterprise Environment [presentation] |
Luca Selvatici |
source |
24 |
| SEUGI |
2002 |
How to benefit from SAS investments over time [presentation] |
Nicholas Bull |
source |
26 |
| SEUGI |
2002 |
SAS Human Capital Management @ ING Netherlands [presentation] |
H. Tijssen |
source |
28 |
| SEUGI |
2001 |
Building a Balanced Scorecard in Banca 121 [presentation] |
Alessandra Turi |
source |
23 |
| SEUGI |
2001 |
E-Intelligence and Nokia Online Services [presentation] |
Rosemarie Ruotto |
source |
19 |
| SEUGI |
2001 |
Electronic Information System (EIS) - Past, Present, Future [presentation] |
Ruth Brogan |
source |
34 |
| SEUGI |
2001 |
Fast integration of Enterprise Guide and Enterprise Miner with WebHound [presentation] |
Klaus-Peter Huber, Rainer Urbahns |
source |
12 |
| SEUGI |
2001 |
GIS IP Web: enchancing customer serive via Internet [presentation] |
Lucien Hofmann, Torsten Rosenkraenzer |
source |
20 |
| SEUGI |
2001 |
How to benefit from SAS investments over time [presentation] |
Nicolas Bull |
source |
26 |
| SEUGI |
2001 |
Servire al meglio ... la migliore clientela [presentation] |
Giovanni Pietrobelli |
source |
49 |
| SEUGI |
2000 |
AstraZeneca gets a panoramic view of its pharmaceutical business, derived from ERP systems [presentation] |
Mauro Tuvo |
source |
31 |
| SEUGI |
2000 |
Building a Balanced Scoredard to implement an innovative banking strategy [presentation] |
Alessandra Turi |
source |
24 |
| SEUGI |
2000 |
CFO Vision and Total Financial Management [presentation] |
Peter Bull |
source |
34 |
| SEUGI |
2000 |
Data Mining: Churn Management and Client Retention in Telecommunications [presentation] |
Lori Caton |
source |
20 |
| SEUGI |
2000 |
Deploying Intrnet Server in a European R&D environment [presentation] |
Klaus-Pieter Vlieg |
source |
13 |
| SEUGI |
2000 |
How an Operational project benefits from a Business Intelligence project [presentation] |
Angel Sanz, Carme Vila, Josep Turmo, Ramon Sanchez |
source |
19 |
| SEUGI |
2000 |
IBIS-Integrated Business Information System [presentation] |
Kirsteen MacLeqan |
source |
35 |
| SEUGI |
2000 |
Increase Help-Incident/Desk Efficiency by Using SAS/ITService Vision [presentation] |
Walter Verhoeven |
source |
23 |
| SEUGI |
2000 |
Nissan European Aftersales: The Move from Legacy System to Data Warehouse [presentation] |
Jonathan Davies |
source |
35 |
| SEUGI |
2000 |
The Growing pains of building a Corporate Data Warehouse [presentation] |
Tiago Durao |
source |
28 |
| SEUGI |
1999 |
Help! We are building a data warehouse. With a stethoscope on a developing process [presentation] |
Dag Refvem |
source |
32 |
| MWSUG |
1998 |
Using Embedded HTML in SAS/Intrnet Output |
Bill Dvorak |
|
5 |
| SEUGI |
1998 |
Glasgow City Housing's experience of EIS and SAS software [presentation] |
Fin McElhinney |
source |
28 |
| SUGI |
1998 |
Application of Maximum Contrast Method to Biomedical Data Using MU L TTEST |
Chikuma Hamada, Junji Kishimoto |
source |
6 |
| SEUGI |
1997 |
Financial planning and reporting system for the Ministry of Agriculture, Fisheries and Food - a UK Government Department |
David Fisher |
source |
7 |
| SEUGI |
1997 |
Flexible financial reporting system - development tips using the latest SAS software techniques |
Andrew B. Ratcliffe, James Ochiai-Brown |
source |
13 |
| SEUGI |
1994 |
Successful IT Strategies within the Government Sector |
Derek Mather |
source |
14 |
| SUGI |
1994 |
SAS Server: Client/Server Computing |
Joe Wang |
source |
5 |
| SCSUG |
1993 |
WORK.STAFF -- Using Contract Research Organizations for SAS Programming |
Ginger Lewis |
|
5 |
| SUGI |
1993 |
SAS/PH-Clinical Software: CANDA Implementation Strategies |
Juliana M. Ma, Sandra D. Schlotzhauer |
source |
8 |
| SUGI |
1990 |
Integrating Graphics into a Document Using SAS/GRAPH Software and WordPerfect 5.0 |
Anne C. Neale, John E. Teberg, Brian N. Cordova |
source |
5 |
| SEUGI |
1989 |
Sample Size For Two-Stage Designs In Phase II Clinical Trials |
Alfredo Ardia |
source |
6 |
| SUGI |
1989 |
A Clinical Trials Data Management System Featuring Multiple Editing Phases |
Mark F. Guagliardo, Kathleen A. Jablonski |
source |
5 |
| SUGI |
1989 |
Retro-engineering a SAS Reporting System Front-End |
Brent Turner |
source |
5 |
| SUGI |
1988 |
Building a Window to a Data Archive, or How to Provide Access to Large Statistical Data Files |
Tom Boggess |
source |
5 |
| SUGI |
1987 |
An Interface for EPIC and SAS Software |
James Lichtenstein |
source |
11 |
| SEUGI |
1984 |
SAS Contribution to an Inventory Management System Based on COPICS/DL1 |
Bernard S. Wuillaume |
source |
3 |
| SUGI |
1984 |
Linear Goal Programming Using the SAS/OR Product |
Marc-David Cohen |
source |
11 |
| SUGI |
1984 |
Using SAS Software with TSO/SPF to Monitor Network Availability |
Anita Blitz, Gail Levine |
source |
6 |
| SUGI |
1983 |
Using SAS/GRAPH to Produce Scheduling Charts |
Mike Atkinson, Ron Boehm, Sandy Hemphill |
source |
6 |
| SUGI |
1981 |
The Design of a SAS Test Score Management System for Richmond Public Schools |
Ann S. Allen, Alvin M. Best III |
source |
5 |