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139 papers and 51 presentations; 184 titles.

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Conference × Year × Title × Authors Extras Pages
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 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
PHUSE US 2026 Accelerating Study Insights: Agile Data Visualisation Using R-Shiny Lin Yuan,
Heather Howell		 source
presentation source		 6
PHUSE US 2026 Acquiring a Compound with Multiple Clinical Trials? Let's Get Ready for a Type C Meeting! Key Considerations for Preparing Its Regulatory Submission Mathura P. Ramanathan,
Kajal Tahiliani		 source
presentation source		 12
PHUSE US 2026 Applying Artificial Intelligence (AI) for Optimal Dose Selection in Oncology Zoran Antonijevic source
presentation source		 5
PHUSE US 2026 Building Cross-Functional Regulatory and Programming Alignment for Successful Submissions Ben Kaspar,
Stephine Keeton		 source
presentation source		 6
PHUSE US 2026 Building for the Long Haul: Managing Scope, Refactoring, and CI/CD in Internal R Packages [presentation] Blazej (Moni) Neradilek,
Chenchen Yu		 source 14
PHUSE US 2026 CDISC 360i Demo: Automating from Study Design to Submission Darren Moreland source
presentation source		 6
PHUSE US 2026 CDISC 360i: From Vision to Implementation - Lessons Learned and the Road Ahead [presentation] Peter Van Reusel source 23
PHUSE US 2026 Teaching Small Models To Think Big: Enterprise-Ready AI Through Knowledge Distillation Ramanathan Srinivasan,
Angu Sundaresh Krishna Kumar		 source
presentation source		 7
PHUSE APAC 2026 Beyond Toxicity : Accelerating Dose -Finding with Pharmacokinetic -Driven Bayesian Design PKBOIN-12 Anetta Mary Xavier source
presentation source		 13
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 Critical & Sensitive Information (CSI) Paper AS02 Revolutionizing Clinical Quality: A Frontier Approach with Quality by Design (QbD), Infrastructure Modernization and Data-Driven Analytics Priti Gupta,
Deepa Balaji		 source
presentation source		 12
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 SAMBA: Bridging the Gap How GenAI Transforms Analysis Plans into ADaM Specs [presentation] Thiago Figueiredo,
Richard Becker		 source 19
PHUSE EU 2025 Using Visual Dashboards to Improve Data Accuracy Daniel Smith source
poster source		 8
SESUG 2025 Efficacy + Safety in Phase 1/2 Immunotherapy Oncology Trials: OBD vs. MTD Ron Smith 8
PharmaSUG 2025 Elevating Clinical Research: Strategic Implementation of CDASH and SDTM Standards Hayden Patel source 4
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 US 2025 Role of PK/PD, Biomarker Analysis in the Expansion of Phase 1 Trials Lavanya Peddibhotla source
presentation source		 7
PHUSE US 2025 Transforming Clinical Trial Risk Assessments: From Checkbox to Quality-Driven Success [poster] Kristin Stallcup,
Rachael Geedey		 source 1
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 Failed Clinical Trials: How to Benefit From Negative Experience Anna Amosova source
presentation source		 13
PharmaSUG CN 2024 Navigating Statistical Programming Challenges in Early Phase Oncology Trials Dandan Du source 13
PharmaSUG 2024 A Programmer-s Insight into an Alternative to TQT Study Data Submission Hiba Najeeb,
Raghavender Ranga		 source 7
PharmaSUG 2024 Estimating Time to Steady State Analysis in SAS Richard Moreton,
Lata Maganti		 source 8
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 Managing a Single Set of SDTM and ADaM Specifications across All Your Phase 1 Trials Avani Kaja source 5
PHUSE EU 2023 Increasing Trend of Biomarker Analysis in Clinical Trials Anjali Ranga source
presentation source		 11
PHUSE EU 2023 Innovating the Leadership Toolkit Through Design Thinking [presentation] Marten Krijgsman,
James McDermott		 source 65
PHUSE EU 2023 Synthesise Your SDTMs! Realistic Simulated SDTMs When You Need Them Matthew Travell source
presentation source		 7
PHUSE US 2023 Common Sample Size Calculations for Phase I/IIa Clinical Trials [presentation] Aayush Bhoraskar source
video		 13
PHUSE US 2023 Enabling the Digital Data Flow from eProtocol to Downstream Processes [presentation] Berber Snoeijer,
Kumar Patel		 source
video		 13
PHUSE EU 2022 Set Up and Drive Your Routine Business Task with Power Automate [presentation] Satish Patil,
Bhavin Solanki		 source
video		 33
PHUSE EU 2021 A Beginner's Guide to Data Analysis Shuva Dey source
video		 15
PHUSE EU 2021 DEEP Presentation and Launch? : New Era of Collaboration - DEEP Enables an Ecosystem Approach to Advance Digital Medicine [presentation] Bert Hartog,
Kai Langel		 source 30
SESUG 2021 Missing Value Imputation Ross Bettinger source 34
PHUSE US 2021 Leadership Presentations: LE02: How to Build Knowledge Capacity for a High-performance Team [presentation] Xiaohui Wang source 14
PharmaSUG 2021 CDISC ADaM Phases, Periods, and Subperiods: A Case Study Jennifer K. Fulton source 9
PharmaSUG 2021 No Black Boxes: An Utterly Transparent Batch Randomization System in R Dennis Sweitzer source 12
PHUSE EU 2020 Are We on the Same Page - Trial-level Metadata Based Upon Project Metadata [presentation] Bo Sølgaard Andersen,
Frederik Vandvig Heinen		 source
video		 18
PHUSE EU 2020 Successful and Optimised Project Delivery by Embracing Agile in a Validated Environment [presentation] Andy Ratcliffe,
Chris Cowling		 source
video		 34
PHUSE EU 2020 The Good? The Bad? Or the Ugly? CDISC eSubmission Packages in Practice [presentation] Artur Krupa source
video		 26
PHUSE US 2020 A Case Study: Data Transparency of Clinical Trial Data Sherry Meeh source
presentation source		 8
PHUSE US 2020 Data Science Project (Educating for the Future Working Group) Aldir Medeiros Filho,
Sascha Ahrweiler		 source
presentation source		 10
PHUSE EU 2019 Challenges Involved with Using Legacy Clinical Trial Study Data During Integration Adebola Opasanya source
poster source		 8
PHUSE EU 2019 Dose-finding Schemes in Clinical Trials Michael Brockmann source
presentation source		 15
PHUSE EU 2019 Onboarding a Junior Statistical Programmer in 10 Weeks: My Story, from University to First Analysis Delivery Pieter Coppens,
Annelies Van Zeveren		 source
presentation source		 6
PHUSE EU 2019 TS does not mean T(o) S(uffer) - A hands-on guideline for a better understanding of the TS domain Kristina Zweier source
presentation source		 14
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 Raw data sets tracker: Time and project management based on the volume of available clinical data using SAS software Girish Kankipati source 10
PharmaSUG 2019 The Anatomy of Clinical Trials Data: A Beginner's Guide Venky Chakravarthy source 14
PHUSE US 2019 CDISC in Phase I/II Studies: Case Studies in Adopting Standards Emily Woolley,
Amber Randall Scharp		 source
presentation source		 7
PHUSE US 2019 Ensuring Consistent and Supported Standards Across Data and Metadata in a Large Regulatory Filing is Tricky Business Lisa Kaye Brooks source
presentation source		 10
SESUG 2018 Transformation of Patient Reported Outcome Survey Responses Made Simple with JMP Mira Shapiro MSc., Analytic Designers LLC Mira Shapiro,
Lorraine Johnson		 source 12
WUSS 2018 CDISC in Phase I/II Studies: Approaches to adopting standards for CSR deliverables Emily Woolley,
Amber Randall		 source 9
SGF 2018 Personal Lending: What is Customer Price/Credit Optimization? Is Experimental Design Inevitable? Yuri Medvedev source 20
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
PHUSE EU 2017 Evaluation of Re-identification Risk for Anonymized Clinical Documents Parvee Kumar,
Rajan Sareen		 source
presentation source		 7
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
PharmaSUG 2017 Gray Areas of ADaM and Ways to Provide Color [presentation] Susan J. Kenny,
Sandra Minjoe,
Nate Freimark,
Jack Shostak,
John K. Troxell,
Deborah J. Bauer		 source 38
PharmaSUG 2017 Leveraging Study Data Reviewer-s Guide (SDRG) in Building FDA-s Confidence in Sponsor-s Submitted Datasets Xiangchen (Bob) Cui,
Min Chen,
Letan (Cleo) Lin		 source 10
SGF 2017 Kerberos Cross-Realm Authentication: Unraveling the Mysteries Stuart J. Rogers source 18
SGF 2017 SAS: A Unifying Tool That Manages Hospital and Research Pharmacy Data and Reporting Robert MacArthur,
Arman Altincatal		 source
pdf		 8
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
PHUSE EU 2016 On the Fast Lane to a Successful Submission - A Lead Programmer's Guide to Efficient, High-quality Submission Programming Deliverables Michael Reich,
Hannes Engberg Raeder		 source
presentation source		 9
PharmaSUG 2016 A Dose Escalation Method for Dual-Agent in Phase 1 Cancer Clinical Trial using the SAS MCMC Procedure Gwénaël Le Teuff,
Mohamed Amine Bayar		 source 14
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
PHUSE EU 2015 AstraZeneca Clinical Trial Transparency and External Sharing of Individual Patient-level Data Natalie Andrews source
presentation source		 3
PHUSE EU 2015 Introduction to CDISC BRIDG Joerg Dillert source
presentation source		 11
PHUSE EU 2015 Is R the Right Tool for Me? [presentation] Peter Bewerunge source 23
PHUSE EU 2015 The AQSCI Method Behind CRO Evaluation and Application to Pharmaceutical Company Needs Roy Ward,
James Gallagher		 source
presentation source		 8
PharmaSUG 2015 CRO, TLF, SOP? OMG!: A Beginner's Guide to the Clinical Research Organization Mandy Bowen,
Otis Evans,
Stephen Terry		 source 7
PHUSE EU 2014 A Vision for the Future: Core Competencies for Statisticians and Programmers [presentation] James R. Johnson source 26
PHUSE EU 2014 Drug Exposure Plot: Tailored Approach to Display Ongoing Data Mathias Lebreton source
presentation source		 12
PHUSE EU 2014 From ODM to SDTM: An End-to-End Approach Applied to Phase I Clinical Trials Alexandre Mathis source
presentation source		 5
PHUSE EU 2014 Update on Regulatory Guidance: Data Standardisation Planning for Clinical Development Programs James R. Johnson source
presentation source		 10
WUSS 2014 Exploring Phase 1 ADaM Deriving System from SDTM Yiwen Li source 4
PharmaSUG 2014 Defining Non-Inferiority Margins for Skin Adhesion Studies Marina Komaroff,
Sailaja Bhaskar		 source 12
PHUSE EU 2013 Standard Protocols Using Guided Navigation [presentation] Michaela Jahn source 15
PHUSE EU 2013 Standards Governance - A First Insight Claudia Meurer source
presentation source		 6
PHUSE EU 2013 Utilising Data Warehousing to Validate Clinical Trial Projects and to Select and Recruit Patients [presentation] Tim Armitage source 39
PharmaSUG 2013 SAS Programmer to Clinical SAS Programmer Gayatri Karkera,
Nehan Mohan		 source 7
SGF 2013 From Factbook to Dashboard in T Minus No Time and Counting! Alicia Betsinger,
Annette Royal		 source 9
PHUSE EU 2012 A Peak at PK - An Introduction to Pharmacokinetics Hannah Twittchet,
Paul Grimsey		 source
presentation source		 9
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 Legacy Data Conversion: A Journey of Discovery Panteleo Nacci,
Novartis Vaccines		 source
presentation source		 8
PharmaSUG CN 2012 A SAS Macro Application to Create Mock Tables in Statistical Analysis Plans for Phase I Clinical Studies Yao Huang 7
SGF 2012 At Your Self-Service: One Organizations Journey from Mainframe Reporting to Enterprise Business Intelligence Cheryl Sivertson source 10
SGF 2012 Monitoring the Variation in Your Multivariate Process: An Introduction to the MVPMODEL and MVPMONITOR Procedures Blair Christian,
Bucky Ransdell		 source 13
SGF 2012 Using SAS Macros to Remediate Existing SDTM Data Sets for New Drug Application (NDA) Submission Yanwei Han source 4
PHUSE EU 2011 Programming for Early and Late Phase - really that different? Katherine Macey source
presentation source		 6
PharmaSUG 2011 Trials and Tribulations of SDTM Trial Design Fred Wood,
Mary Lenzen		 source 5
PharmaSUG 2011 Using SAS for Modeling and Simulation in Drug Development - A Review and Assessment of Some Available Tools Melvin S. Munsaka,
Michael Carniello		 source 10
WUSS 2010 It's All about Variation: Improving Your Business Process with Statistical Thinking Robert N. Rodriguez source 18
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 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 PROC SGPLOT for Quick, High-Quality Graphs Susan J. Slaughter,
Lora D. Delwiche		 source 20
PHUSE EU 2009 After a new CDISC SDTM version, how to update and manage ADS/SDS DEFINE files at company team level Nathalie Moro source 5
PHUSE EU 2009 Challenges in running a virtual department through outsourcing Silvana Cappi source 7
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 Implementation of CDISC Standards at Nycomed [presentation] Berthold Traub source 31
PHUSE EU 2009 Moving from Full Development to Translational Medicine Nassim Sleiman source 5
PHUSE EU 2009 Working Effectively in a Globally Dispersed Tea Gary Hearfield source 22
PNWSUG 2009 Consuming data from SOAP and REST web services from within SAS [presentation] Curtis E. Mack 40
WUSS 2009 Simple but Effective SAS-based Automation Techniques to Combine SAS Data Libraries Joe Perry source 9
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
MWSUG 2008 A Multivariate Ranking Procedure to Assess Treatment Effects Alan Y Chiang,
Grace Li,
Ying Ding,
Ming-Dauh Wang		 7
PharmaSUG 2008 EZTABLE Macros Daniel Huang 12
PHUSE EU 2007 All roads lead to SDTM - which one shall we take? Ian Fisher,
Donna Thompson		 source 9
PHUSE EU 2007 Automating GREPLAY to display multiple graphs per page KarolAnne Fitzpatrick,
Erika Daly		 source 9
PHUSE EU 2007 Designing a Global SAS9 Architecture for analysis and reporting Andrew York,
Gregory S. Barnes Nelson		 source 26
PHUSE EU 2007 From local lab to standards and beyond Angelo Tinazzi,
Irene Corradino		 source 10
PHUSE EU 2007 Intelligent outputs - Telling the story Claire Hoggins source 4
PHUSE EU 2007 LSLV to Final CSR Tables in 24 hours - Dream or Reality? Stinder Fowler source 10
PHUSE EU 2007 WEB-TRIAGE: Application for patient registration in ph I studies Angelo Tinazzi,
Lucio Ferraresi		 source 10
SGF 2007 How Shall We Secure the BI Enterprise? Paul High,
Jerry Christenson		 source 9
PHUSE EU 2006 Proc mixed -- Trials and Tribulations Shelley Fordred source 7
SUGI 2006 Empirical Power Estimation for Phase I Dose-Proportionality Studies Based on Power-Law Model Using Confidence Interval Criteria Jihao Zhou,
Jane Li,
Bruce Coate,
Melissa Chen		 source 11
SUGI 2004 SAS SPM Solution for Healthcare: Quallity Improvement for Providers Using Statistical Process Control Robert N. Rodriguez,
Susan B. Lewellen		 source 28
SEUGI 2003 Advanced Warehousing & Analytics for the Global Capital Markets [presentation] Bob Giffords source 19
SEUGI 2003 Closing the loop with the Balanced Scorecard in a Swiss Hospital [presentation] Paul Fluckiger source 14
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 Managing Clinical Trials Data with a SAS-Based Web Portal J. Philip Miller,
James Schauer,
Jack D. Baty,
Sarah Littlewood,
Robert M. Lill,
Reuben Richards,
Kathryn Trinkaus		 source
WUSS 2002 A Strategy for Integrating SAS System Results with Microsoft Word Patrick Thornton source 6
SEUGI 2002 SAS Human Capital Management @ ING Netherlands [presentation] H. Tijssen source 28
SEUGI 2002 Swin into data to best support top management decision in a dynamic and competitive market [presentation] Cristiano Portas source 40
VIEWS 2001 Your Clinical Trials Data Entry and Management Solution - The SAS UK Clinical Data Management Knowledge Solution [presentation] Jane Powell 19
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 Servire al meglio ... la migliore clientela [presentation] Giovanni Pietrobelli source 49
PharmaSUG 2001 An Application of Continual Reassessment Method Using SAS System Naoki Ishizuka 4
PharmaSUG 2001 Data Visualization of Phase 1 Clinical Studies - "Big Al's World" or Using SAS Version 8 to Acquire Quality Ice Cream Richard F. Synowiec 8
SUGI 2001 Data Visualization of Phase 1 Clinical Studies - by "Big Al's Worlds " Richard F. Synowiec source 6
SESUG 2000 Test Development: Ten Steps to a Valid and Reliable Certification Exam Linda Althouse source 8
WUSS 2000 Test Development: Ten Steps to a Valid and Reliable Certification Exam Linda Althouse source 8
SEUGI 2000 AstraZeneca gets a panoramic view of its pharmaceutical business, derived from ERP systems [presentation] Mauro Tuvo source 31
SEUGI 2000 CFO Vision and Total Financial Management [presentation] Peter Bull source 34
SEUGI 2000 Creating validated standard output using the System Development Life Cycle (SDLC): A practical approach with the Biometrics Department of Solvay Pharmaceuticals [presentation] Saskia Janssen source 37
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 From Infancy to Maturity: SAS/PH-Clinical Introduction at Fujisawa [presentation] Soren Kristiansen source 40
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 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 Successful and Faster Drug Development through Data Mining [presentation] Dirk Belmans source 15
SUGI 2000 Test Development: Ten Steps to a Valid and Reliable Certification Exam Linda Althouse source 8
SEUGI 1999 Clinical processes and SAS/PH-Clinical, a good marriage? [presentation] Patrick Genyn source 24
SEUGI 1999 IT Service Vision and IT Charge Manager: strategic directions [presentation] Richard Seery,
Simon Ansfield		 source 34
SEUGI 1999 The Methods and Benefits of Implementing CFO Vision in a Financial Services Organization [presentation] Gareth Tucker source 40
SEUGI 1998 Glasgow City Housing's experience of EIS and SAS software [presentation] Fin McElhinney source 28
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 1996 SUN Solutions: Small, Useful, Now - Translating the compass vision into action [presentation] UNKNOWN source 4
WUSS 1995 Using the SAS Software to Program a Simulation Study Evaluating New Designs for Phase I Clinical Trials Akiko Chai,
Tamara L. Odom-Maryon,
Chul W. Ahn,
Joyce C. Niland		 source 3
SUGI 1995 Macro Development and Centralization: A Modular Data-Driven Approach M. Kumar Sagar source 6
SCSUG 1993 WORK.STAFF -- Using Contract Research Organizations for SAS Programming Ginger Lewis 5
SCSUG 1992 Bodysize Measurement Comparison Using SAS 6.06 O. M. Little,
Daniel J. Rahilly		 5
SCSUG 1992 Graphical Analysis of Clinical Canceer Data Using SAS Macros and SAS/GRAPH Karen L. Knorr,
David G. Mascorro,
Greg S. Shaw,
Susan G. Hilsenbeck,
John J. Hough,
Gary M. Clark		 10
SUGI 1990 Computation of Variances of Functions of Parameter Estimates for Mixed Models in the GLM Procedure Ramon C. Littell,
Stephen B. Linda		 source 8
SUGI 1990 Multi-Criteria Decision Support System for Military Force Management Mary G. Crissey source 4
SUGI 1989 A Clinical Trials Data Management System Featuring Multiple Editing Phases Mark F. Guagliardo,
Kathleen A. Jablonski		 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 1988 Information Systems in the Pharmaceutical Industry Theresa J. Hart source 3
SUGI 1987 An Interface for EPIC and SAS Software James Lichtenstein source 11
SUGI 1987 Creating a "User-Friendly "General Ledger Reporting System Jerry E. Clark source 5
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 Introduction to Linear Programming with SAS Marc-David Cohen source 8
SUGI 1983 Using SAS/GRAPH to Produce Scheduling Charts Mike Atkinson,
Ron Boehm,
Sandy Hemphill		 source 6
SUGI 1981 A Fisheries Data Base Utilizing SAS Leanna Pristash,
George Roth,
Dan Watson		 source 4

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