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data transformation

154 papers and 27 presentations; 163 titles.

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Conference × Year × Title × Authors Extras Pages
WUSS 2026 A Flexible Metadata-Driven and Modular Approach to SDTM Automation [presentation] Ruili Shi,
Jiaying Zhang,
Charles Chen		 source 15
WUSS 2026 Demystifying Regression Analysis Techniques with R Zheyuan Yu,
Kirk Paul Lafler,
Zichun Gao,
Jiaxin Xu,
Zeqi Li,
Ruochen Shao		 35
PharmaSUG CN 2026 AI-Native Real-Time SDTM Mapping and Exploration Agent Hao Chen,
Xuejie Zhou,
Haomin Yang,
Qianwang Wang		 source 13
PharmaSUG 2026 Regression Analysis Made Easy Using R Zheyuan Yu,
Kirk Paul Lafler,
Zichun Gao,
Jiaxin Xu,
Zeqi Li,
Ruochen Shao		 source 32
PHUSE US 2026 Business Event Triggers - The Next Level of Automation Marc Jantke source
presentation source		 6
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 Harnessing AI: Enhancing Test Data Quality and Efficiency in Clinical Trial Set-Up Rita Pecuch,
Varun Jagadeesh		 source
poster source		 8
PHUSE US 2026 Revolutionising Clinical Data Transformation: Harnessing GenAI and Open Source for Automated SDTM Conversion Hao (Harry) Chen,
Jian Hua Hang		 source
presentation source		 6
PHUSE EU 2025 Code, Collaborate, Conquer: The Future-Proof Programmer in an AI World James Shipley-Burgess source
presentation source		 4
PHUSE EU 2025 Redefining the role of the Statistical Programmer in an AI-Driven World James Shipley-Burgess source
poster source		 4
PHUSE EU 2025 Small Application for Big Change: Data Integrity and Compliance Through Automated Decision Tracking with Shiny Olena Olishevska,
Mika Mäkinen		 source
poster source		 9
PHUSE EU 2025 The Value of Clinical Trial Data: From Submission to Innovation Anne Katrine Alsing source
presentation source		 8
PHUSE EU 2025 Turning Data into Deliverables: Automating Biometrics from Metadata to TFLs Inderjeet Arora source
presentation source		 9
WUSS 2025 From Excel Chaos to Power BI Clarity: Using SAS for Streamlined Public Health Dashboards Alyssa Planas,
Kanan Castro		 source 7
PharmaSUG 2025 Change the way you think of Codelist - Optimize managing Organization Controlled Terminology with a meta-model and its features to manage Codelist in MDR Kairav Tarmaster source 11
PharmaSUG 2025 SDTM Transformation through Artificial Intelligence (AI) and Human in the Loop (HITL): Lessons Learnt from Abbvie Case Study Aman Thukral,
Sanjay Bhardwaj		 source 2
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 What's black and white and sheds all over? The Python Pandas DataFrame, the Open-Source Data Structure Supplanting the SAS Data Set Troy Martin Hughes source 17
PHUSE US 2025 A Guided User Experience for Automated Mapping Nathan Johnson source
presentation source		 9
PHUSE US 2025 Data Transformation: Achieving Compliance with Irregular Data Reyes Eduardo Elizalde Duarte source
presentation source		 6
PHUSE US 2025 Let's Talk Future: Automated Solution for Standard-Compliant Data, Mock Shells and TFL Generation Using Open-Source Platforms with AI Inderjeet Arora,
Abhijeet Arora		 source
presentation source		 8
PHUSE US 2025 Unleashing the Power of {teal}: New Features and Cross-Industry Collaboration Nina Qi,
Dony Unardi		 source
presentation source		 6
MWSUG 2024 Simplify Complex SAS Logic through the Power of Bit Level Data Comparison Kent Phelps,
Ronda Phelps		 source 18
PHUSE EU 2024 A Guided User Experience for Automated Mapping Achilleas Zaras source
presentation source		 9
PHUSE EU 2024 Block by Block: introducing blockr, the Flexible Open-Source Dashboard Builder Karma Tarap,
Jean-Philippe Coene		 source
presentation source		 7
WUSS 2024 Regression Analysis Made Easy Using SAS Studio Zheyuan (Walter) Yu source 42
WUSS 2024 Training Domain Specific AI for Clinical Data: Developing an AI Agent to Transform EDC Data to CDISC SDTM and then to ADaM Standards Sy J. Truong source 12
PHUSE US 2024 Leading Teams Through Clinical Data Transformation with Storytelling Alison Banda,
Katrina Rice		 source
presentation source		 3
PHUSE US 2024 Scaling ECAs from Projects to the Enterprise: Multicentre, Multisource Infrastructure for External Control Arms Jussi Leinonen,
Mayur Saxena		 source
presentation source		 4
PHUSE US 2024 The Data Review Model - Recognising the Benefits of a Single Source of Truth Model for Data Review Priyank Patel source
presentation source		 8
WUSS 2023 Application of Fuzzy Matching Techniques Using SAS Software Kirk Paul Lafler,
Stephen B. Sloan		 source 30
WUSS 2023 Regression Analysis Made Easy Using SAS Studio Kirk Paul Lafler,
Zheyuan (Walter) Yu,
Nuoer Lu,
Nicklas (Rebel) Yee,
Yanzhang Gavin Chen,
Kai Kang		 source 43
SESUG 2023 A Quick Look at Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan,
Kirk Paul Lafler		 source 29
SESUG 2023 Application of Fuzzy Matching Techniques Using SAS Software Kirk Paul Lafler,
Stephen B. Sloan		 source 30
SESUG 2023 Regression Analysis Made Easy Using SAS Studio Kirk Paul Lafler,
Zheyuan (Walter) Yu,
Nuoer Lu,
Daniel Qian,
Kai Kang,
Yanzhang Gavin Chen,
Nicklas (Rebel) Yee,
Yixuan (Jason) Xiang		 source 43
PharmaSUG 2023 A Quick Look at Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan,
Kirk Paul Lafler		 source 29
PHUSE US 2023 Challenges in Implementing Standards for Real-World Data [presentation] Raman Bassi,
Ritesh Dhimmer		 source
video		 16
PHUSE US 2023 Enabling the Digital Data Flow from eProtocol to Downstream Processes [presentation] Berber Snoeijer,
Kumar Patel		 source
video		 13
PHUSE US 2023 Helping You Get in the Lightning Lane for a Wild Submissions Ride! [presentation] Ali Dootson source
video		 20
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 More than Mandates: RBM Today and Why It Matters, Beyond the Guidance [presentation] Jason Konn,
Alison Banda		 source
video		 14
PHUSE US 2023 Self-service Data Analytics Bharath Sunkavalli source
presentation source		 3
PHUSE US 2023 The Role of Open Source for Data Science, Engineering and Programming Teams in the Pharma Industry [presentation] Tadeusz Lewandowski,
Axel Muehlig		 source
video		 17
PHUSE EU 2022 Automate to Accelerate: Saama's Smart Auto Mapper Mike Collinson source
presentation source		 5
PHUSE EU 2022 Clinical Data Standards and Production of SDTMs. Are We Missing Important Points? [presentation] Eva Stigson,
Paulina Kuczkowska		 source 15
PHUSE EU 2022 Devices and Decentralised Clinical Trials Using a Storage and Advanced Analytics Platform for the Clinical Data Environment (ALYCE) [presentation] Stephan Cichos,
Anja Thiede		 source
video		 23
PHUSE EU 2022 Submission Readiness [presentation] Ali Dootson source 16
SESUG 2022 A Two-Staged Local Regression Based Binning Method for Weight of Evidence Transformation in Credit Scoring Models Hui Wang,
Shirong Huang,
Emma Zhou,
Erin Martin		 source 30
SESUG 2022 Application of Fuzzy Matching Techniques Using SAS Software - A Panel Discussion Kirk Paul Lafler,
Stephen B. Sloan		 source 30
SAS Explore 2022 Software Workshop: Automated Large-Scale Forecasting [video] Chip Wells source
youtube
WUSS 2022 Application of Fuzzy Matching Techniques Using SAS Software - A Panel Discussion Kirk Paul Lafler,
Stephen B. Sloan		 source 30
PharmaSUG 2022 A Quick Look at Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan,
Kirk Paul Lafler		 source 29
PHUSE US 2022 Clinical Data Standardization and Integration Using Data Warehouse and Data Mart Processes [presentation] Clio Wu source 15
SESUG 2021 A Quick Look at Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan,
Kirk Paul Lafler		 source 28
PHUSE US 2021 Real-Time Clinical Trial Analytics Using Automation with IBM Clinical, Medidata Rave and Datacise [presentation] Amritpal Singh source
video		 10
PharmaSUG 2021 A Quick Look at Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan,
Kirk Paul Lafler		 source 28
PharmaSUG 2021 e-Submissions key difference of FDA and PMDA Giri Prasad,
Hareeshkumar Gurrala		 source 8
PharmaSUG 2021 R & PYTHON FOR DRUG DEVELOPMENT Philip Bowsher,
Sean Lopp		 source 117
SGF 2020 Dynamic Programming: Using Files to Change the Behavior of Your Program Bryan K. Merrell source 4
SGF 2020 Using Python with Model Studio for SAS Visual Data Mining and Machine Learning Jagruti Kanjia source 35
PharmaSUG 2020 10 things you need to know about PMDA eSubmission Yuichi Nakajima source 6
PharmaSUG 2020 Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan,
Kirk Paul Lafler		 source 28
PHUSE US 2020 Data Compliance: Hidden Benefits Priyanka Adusumilli source 3
PHUSE US 2020 Industry Experiences Submitting Standardized Study Data to Regulatory Authorities Janet Low,
Vincent Guo		 source
presentation source		 12
PHUSE EU 2019 Formedix On: Advanced Metadata Management and Data Conversion [presentation] Kevin Burges source 47
PHUSE EU 2019 Navigating FDA Requirements: ISS/ISE Build Strategies Priyank Patel source 9
SESUG 2019 Data Management Challenge: Select All That Apply: JMP to the Rescue Mira Shapiro source 12
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
MWSUG 2019 Exploring and characterizing time series data in a non-regression based approach Steven C. Myers 20
WUSS 2019 A Quick Look at Fuzzy Matching Programming Techniques Using SAS Software Kirk Paul Lafler,
Stephen B. Sloan		 source 28
PharmaSUG 2019 The Application of SAS-Excel Handshake in DDT Maggie Ci Jiang source 7
SGF 2019 Developing a Credit Risk Model Using SAS Amos Odeleye source 16
PHUSE US 2019 Formedix On: Advanced Metadata Management Now With Data! [presentation] Kevin Burges,
Steven Benham		 source 45
PHUSE US 2019 Mapping Programs - Written by MDR Jörn Bilow source
presentation source		 2
SCSUG 2018 Machine Learning in Litigation Prediction - Workers' Compensation Litigation Propensity Predictive Model Mei Najim source 17
PHUSE EU 2018 A Proprietary CDASH/SDTM-hybrid Data Model to Expedite Clinical Data Review Lieke Gijsbers,
Tom Van Der Spiegel		 source
presentation source		 6
PHUSE EU 2018 Into the Fire Linking CDISC & FHIR David Iberson-Hurst source
presentation source		 11
PHUSE EU 2018 Mapping Programs - Written by MDR Jörn Bilow source
presentation source		 2
PHUSE EU 2018 Optimizing the Traceability Method in ADaM Parallel Conversions Roxane Debrus source
presentation source		 15
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
SESUG 2018 Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan source 29
MWSUG 2018 A Quick Look at Fuzzy Matching Programming Techniques Using SAS Software Kirk Paul Lafler,
Stephen B. Sloan		 28
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
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 Challenges for Implementing Study Data Standardization Plan (SDSP) in Legacy Data Submission Shengfeng Ho source 9
SGF 2018 Claim Analytics: A Litigation Prediction Case Study Mei Najim source 18
SGF 2018 Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan,
Kirk Paul Lafler		 source 24
SESUG 2017 Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan,
Kirk Paul Lafler		 source 25
SCSUG 2017 Fuzzy Matching Programming Techniques Using SAS Software Kirk Paul Lafler,
Stephen B. Sloan		 source 25
MWSUG 2017 Claim Analytics Mei Najim 18
WUSS 2017 A Quick Look at Fuzzy Matching Programming Techniques Using SAS Software Kirk Paul Lafler,
Stephen B. Sloan		 source 25
SGF 2017 Modeling the Merchandise Return Behavior of Anonymous and Non-Anonymous Online Apparel Retail Shoppers Sunny Lam source 20
SGF 2017 Property and Casualty Insurance Predictive Analytics in SAS Mei Najim source 17
SESUG 2016 Using PROC EXPAND to Easily Manipulate Longitudinal and Panel Data Matthew J. Hoolsema,
Carnegie Mellon		 source 6
PHUSE EU 2016 Efficiency comes From Reusability and Repeatability Hanming Tu,
Dave Evans		 source
presentation source		 10
MWSUG 2016 Property and Casualty Insurance Predictive Analytics in SAS Mei Najim 17
SGF 2016 A Property and Casualty Insurance Predictive Modeling Process in SAS Mei Najim source 14
SGF 2016 SAS Global Forum [presentation] Bob Matsey source 37
MWSUG 2015 A Macro for Systematic Treatment of Special Values in Weight of Evidence Variable Transformation Chaoxian Cai 9
MWSUG 2015 A Property & Casualty Insurance Predictive Modeling Process in SAS Mei Najim 14
PHUSE EU 2015 A Model for Reviewing the Operational Implementation of the CDISC Standards Andy Richardson source
presentation source		 7
PHUSE EU 2015 Empowering Users with Automated Data Conformance Solution Utilities Michael Whitworth,
Jonathan Burr		 source
presentation source		 2
SESUG 2015 PROC TRANSPOSE: Flip your Data 90 o and Save Time Rachel Straney source 6
PharmaSUG CN 2015 How to Build an "Offshore" Team with "Onshore" Quality Lulu Swei,
Margaret Li		 5
PharmaSUG 2015 How to Build an "Offshore" Team with "Onshore" Quality Lulu Swei source 5
PharmaSUG 2015 Qualification Process for Standard Scripts in the Open Source Repository with Cloud Services Hanming Tu,
Dante Di Tommaso,
Dirk Spruck,
Christopher C. Hurley,
Nancy Brucken		 source 6
PharmaSUG 2015 Using Meta-data to Identify Unused Variables on Input Data Sets Keith Hibbetts source 4
SGF 2015 Introduce a Linear Regression Model by Using the Variable Transformation Method [presentation] Nancy Hu source
zip		 12
SGF 2015 Kaplan-Meier Survival Plotting Macro %NEWSURV Jeffrey P. Meyers source 20
PHUSE EU 2014 Collaborative Development of an Open Source Repository for Standardised Analysis Using Cloud Services [presentation] Michael Carniello,
Hamming TU		 source 1
PHUSE EU 2014 SDTM Mapping Becomes more EASY with SAS Clinical Data Integration Saumilkumar Tripathi source
presentation source		 8
MWSUG 2014 Kaplan-Meier Survival Plotting Macro %NEWSURV Jeffrey P. Meyers 20
PharmaSUG 2014 Clinical Trial Data Integration: The Strategy, Benefits, and Logistics of Integrating Across a Compound Natalie Reynolds,
Keith Hibbetts		 source 12
PharmaSUG 2014 Kaplan-Meier Survival Plotting Macro %NEWSURV Jeffrey P. Meyers source 19
PharmaSUG 2014 SAS as a Tool to Manage Growing SDTM+ Repository for Medical Device Studies Julia Yang source 12
SGF 2014 Healthcare Services Data Distribution, Transformation, and Model Fitting Dawit Mulugeta,
Jason Greenfield,
Tison Bolen,
Lisa Conley		 source 22
SCSUG 2013 A Dose of SAS to Brighten Your Health Care Blues Gabriela Cantu,
Christopher Klekar		 source 14
SESUG 2013 Binning Bombs When You're Not a Bomb Maker: A Code-Free Methodology to Standardize, Categorize, and Denormalize Categorical Data Binning Bombs source 26
SESUG 2013 The Hitchhiker's Guide to Github: SAS Programming Go Social Jiangtang Hu source 19
PHUSE EU 2013 EXACT - A Metadata Driven System for Creating Standard Mockups and Data Displays [presentation] Kent Letourneau source 55
PharmaSUG 2013 Standardizing the Standards: A Road Map for Establishing, Implementing and Unifying Standards in Your Organization Amy Caison,
Jhelum Naik,
Tammy Jackson		 source 9
SGF 2013 Models for Ordinal Response Data Robin High source 16
SGF 2013 SAS Data Management Techniques: Cleaning and Transforming Data for Delivery of Analytic Data Sets Christopher W. Schacherer source 38
SCSUG 2012 SAS Data Management Techniques: Cleaning and Transforming Data for Delivery of Analytic Data Sets Christopher W. Schacherer source 38
PHUSE EU 2012 Clinical Reference Library: Metadata and Standards Management in a Single Tool [presentation] Jonathan Peachey,
Colin Sprink		 source 12
SESUG 2012 SAS Programming tips and techniques for Data Mapping Sheetal Nisal source 7
MWSUG 2012 SAS Data Management Techniques: Cleaning and Transforming Data for Delivery of Analytic Data Sets Christopher W. Schacherer 38
PharmaSUG 2012 Experiences in Leading a Company-Wide First CDISC Filing from a Programming Perspective Sho-Rong Lee source 6
SGF 2012 Effect Modification, Confounding,Hazard Ratio, Distribution Analysis, and Probability of Non-normal Data for Head Neck Cancer Manojkumar B Agravat source 40
WUSS 2011 Use CDISC SDTM as a data middle-tier to streamline your SAS infrastructure Kalyani Chilukuri source 8
PHUSE EU 2011 State of the union: what does the future hold for statistical programming in Europe [presentation] Leo Valmas source 28
SGF 2011 Eliminating Response Style Segments in Survey Data via Double Standardization before Clustering Murali Krishna Pagolu,
Goutam Chakraborty		 source 15
SGF 2011 Expanding PROC EXPAND Bruce F. Gilsen source 4
NESUG 2010 Expanding PROC EXPAND Bruce F. Gilsen 4
NESUG 2010 The Nitty-Gritty of FDA Electronic Submission: A Programmer's Perspective Sandeep N. Beniwal 9
PHUSE EU 2010 CDISC integration in a clinical data management system Peter Van Reusel source
presentation source		 13
PHUSE EU 2010 How to improve quality control in a data conversion process? By extended usage of metadata! Dimitri Kutsenko source
presentation source		 4
PHUSE EU 2010 The Use of Meta Data in Creating, Transforming and Transporting Clinical Data Gregory C. Steffens source
presentation source		 9
PHUSE EU 2010 Traceability between SDTM and ADaM converted analysis datasets Florence Somers,
Michael Knoessl		 source
presentation source		 7
PHUSE EU 2010 Useful Tips for Analysis of Variance (ANOVA) in Multicentre, Placebo Controlled Clinical Trials Joanna Romaniuk source
presentation source		 12
PharmaSUG 2010 Checking for SDTM Compliance: The Need for Human Involvement Fred Wood,
Adrienne Boyance		 8
PharmaSUG 2010 Utilizing SAS to Dynamically Generate Clinical Trial Data Transformation Programs Clark Peirce,
Johnny Johnson		 7
SGF 2010 A Grad Student 'How-To' Paper on Grant Preparation: Preliminary Data, Power Analysis, and Presentation Elisa L. Priest,
Derek Blankenship		 source 14
PHUSE EU 2009 Clinical DI Studio - will we need new MetaProgrammers? Simon Wilcock,
Sireesha Potula		 source
presentation source		 11
PHUSE EU 2009 From raw data to submission: A metadata-driven, repository-based process of data conversion to CDISC Dimitri Kutsenko source
presentation source		 7
MWSUG 2009 A Comparison of Decision Tree and Logistic Regression Model Xianzhe Chen 10
PharmaSUG 2009 Clinically Significant Data Integration Studio Chris Decker,
Stephen Baker		 12
PharmaSUG 2009 Data Conversion to SDTM: What Sponsors Can Do to Facilitate the Process Fred Wood 6
SESUG 2008 Automated Data Converting of Character into Numeric Fields Mila Chiflikyan source 11
NESUG 2008 Proc Logistic Plus: The Power Of Variable Transformations Krishna Mehta,
Nitin K. Jain,
Varun Aggarwal		 4
PharmaSUG 2008 Case Study: Analysis and Metrics of End-to-End Legacy Data Conversions into SDTM, ADaM, and Define.xml Robert T. Stemplinger 5
SGF 2008 It's 9:00 AM: Do You Know Where Your Critical Talent Is? Retention Analytics for Human Capital Management Lynn Creecy,
Bradley W. Klenz		 source 11
PharmaSUG 2007 Customizing SAS Data Integration Studio to Generate CDISC Compliant SDTM 3.1 Domains Tatyana Kovtun,
John Markle,
Christopher Treglio		 12
SGF 2007 SAS Data Integration Studio and SAS Macro - Working in Harmony for Data Warehousing Projects Tatyana Kovtun source 10
NESUG 2006 Using SAS Data Integration Studio to Convert Clinical Trials Data to the CDISC SDTM Standard Barry R. Cohen 8
PharmaSUG 2006 Using SAS ETL Studio to Convert Clinical Trials Data to the CDISC SDTM Barry R. Cohen 10
PHUSE EU 2005 Integrating SAS With Open Software in a Validated Drug Safety Environment Jeremy Fletcher source 48
WUSS 2005 Transforming Data for CDISC and ISS Sy J. Truong source 11
WUSS 2004 Using Classification Tree Outcomes to Enhance Logistic Regression Models Tim Millard source 4
MWSUG 2004 Evaluating Continuous Variable Transformations in Logistic Regression Maggie (Yu) Zhang,
Shaolin Chen,
Suzanne C. Rain		 12
SEUGI 2003 Next Generation Warehousing with SAS 9.1 [presentation] Wilbram Hazejager source 39
NESUG 2002 Programming Standards, Style Sheets, and Peer Reviews: A Practical Guide Dianne Louise Rhodes 5
WUSS 2002 An Overview of Remedial Tools for the Violation of Parametric Test Assumptions in the SAS System Chong Ho Yu source 6
SUGI 2002 Data Warehousing in the Modern World: A Case Study Revisited Mary K. Tucker source 8
NESUG 2001 Data Transfers Across Diverse Platforms Denis Michel 5
SEUGI 2000 Analysing the footprints of your customer - A case study by ask|net and SAS [presentation] Klaus-Peter Huber source 40
SEUGI 2000 Clinical Data Warehousing Functionality [presentation] Michael Roberson source 39
SEUGI 2000 SAS Tools employed in analysing import activity influences on the home market based on the customes entry declarations [presentation] Pawel Trembacz,
Sebastian Prot		 source 39
SEUGI 2000 The African Oil Company - Data Warehouse Implementation [presentation] Richard Magnin source 21
SUGI 2000 Procedures for a New SAS Release Stephen B. Taubman source 3
SEUGI 1999 Financial Management at a Commercial Bank [presentation] Tadeusz Stawicki source 19
SEUGI 1999 The Bridge between ERP and Business Intelligence - illustrated by example of SAP Retail and SAS [presentation] Frank-Stefan Rock source 29
NESUG 1998 %MAKFMT - A Dynamic Approach to Format Creation Roberto Lopez 9
WUSS 1997 Analysis of Designed Experiments Using SAS PROC GENMOD Douglas C. Montgomery,
Connie M. Borror,
Sharon L. Lewis		 source 6
NESUG 1995 Efficient Data Transformations Using User-Defined Formats and Informats Kim L. Kolbe Ritzow 4
NESUG 1993 SAS/CPE Software Makes Performance Management for Distributed Systems Simpler Than it Sounds Barbara H. Pendergrass 2
SEUGI 1992 The Use of the SAS System for Atmospheric Data Processing and Climate Research Alexander Sterin,
R. Reitenback		 source 3
SUGI 1992 The Colour Centrifuge! Philippe Brown source 3
SEUGI 1990 Directions of the SAS System in Statistics and Decision Support Gerhard Held source 7
SUGI 1986 Managing VM/SP: An Analysis of the CP Nucleus Using SAS Software Stuart D. Guthrie source 2
SUGI 1982 Can SAS Replace Traditional Programming Languages in Large Systems Development-A Manager's Perspective J. Harvey Trimble Jr. source 3

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