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261 papers and 8 presentations; 221 titles.

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Conference × Year × Title × Authors Extras Pages
PharmaSUG 2026 An End-to-End R-Based Pharmacokinetics (PK) Workflow for Regulatory Submission: The INAVO120 Study Qi Liu,
Shweta Vadhavkar		 source 5
PharmaSUG 2026 DOSEON: Fuzzy Matching DOSE Date Intervals ON Analysis Dates Across SAS (PROC SQL, SAS Macro, DATA Step, and PROC FCMP) Inka Leprince,
Troy Martin Hughes		 source 39
PharmaSUG 2026 Two Paths, One PK Journey: The Art of Balancing ADPC and ADNCA Ashok Abburi,
Rakhe Jacob,
Shibani Harite		 source 7
PHUSE US 2026 Electronic Submission of Population PK Analysis Files ... What's Your Modus Operandi? Luai R. Alzoubi source
presentation source		 13
PHUSE US 2026 Fuzzy Matching DOSE Date Intervals ON Analysis Dates Across SAS (DATA Step, PROC SQL, SAS Macro, and PROC FCMP) Inka Leprince,
Troy Martin Hughes		 source
presentation source		 32
PHUSE APAC 2026 Advancing Clinical Programming Through Centres of Excellence Surendra Yajamanam source
presentation source		 3
PHUSE EU 2025 Close Encounters with Real-World Data Jeffrey M. Abolafia,
Sarah Ferko,
Ingeborg Holt		 source
presentation source		 21
PHUSE EU 2025 Enhancing the Validation and Simulation of Real-World Multi-Site Data with R Nikolay Trankov,
Elena Chaparova,
Alexandrina Lambova,
Stavros Oikonomou		 source
presentation source		 11
PHUSE EU 2025 Pharmacokinetics Is Simple... Sometimes Vincent Buchheit source
presentation source		 12
PHUSE EU 2025 Untangling the Dependencies Web Rhys McCrosson source
presentation source		 12
SESUG 2025 Data Diagnostics with Base SAS Mark L. Jordan 38
PharmaSUG 2025 A discussion of the new ADaM guidance (ADNCA and ADPPK) for pharmacokinetics. Luke Reinbolt source 3
PharmaSUG 2025 Name That ADaM Dataset Structure Nancy Brucken source 8
PharmaSUG 2025 What comes first, the chicken (ADSL) or the egg (ADNCA)? Modularize your covariate creation to support flexible analysis dataset implementation! David C. Izard source 6
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 Optimizing Development and Regulatory Submission of eSUB Package for Exposure-Response and PK/PD Analysis Saumilkumar Tripathi,
Ephicacy Lifescience		 source
presentation source		 10
MWSUG 2024 Calculating Cardinality Ratio in Two Steps Ronald J. Fehd source 22
PHUSE EU 2024 Introduction to the ADNCA ADaM Charlotte Hampson,
Florence Horspole		 source
poster source		 4
SESUG 2024 Data Diagnostics with Base SAS Mark L. Jordan source 37
SESUG 2024 Look Up Not Down: Advanced Table Lookups in Base SAS Jayanth Iyengar source 20
PharmaSUG 2024 Game changer! The new CDISC ADaM domain ADNCA for PK/PD data analysis Santosh Ranjan source 7
PharmaSUG 2024 Interfacing with Large-scale Clinical Trials Data: The Database for Aggregate Analysis of ClinicalTrials.gov Joshua J. Cook,
Achraf Cohen		 source 16
PHUSE US 2024 Unveiling the Potential of ADNCA via the CDISC ADaM IG: Revolutionising Pharmacokinetic Non-Compartmental Analysis Input Data Standardisation Saumilkumar Tripathi source
presentation source		 10
WUSS 2023 Open-Source Essentials HOW - R and RStudio Wendy Christensen source 17
SESUG 2023 A Central Data Storage and Reporting System for Statewide Local Health Dept Visits in SAS Bruce Nawrocki,
Kathy Dail,
Julie A. Walker		 source 11
WUSS 2022 Calculating Cardinality Ratio in Two Steps Ronald J. Fehd source 23
PharmaSUG 2022 Look Up Not Down: Advanced Table Lookups in Base SAS Jayanth Iyengar,
Joshua M. Horstman		 source 28
PharmaSUG 2022 Merging Pharmacokinetic (PK) Sample Collection and Dosing Information for PK Analysis based on Study Design and lessons learned Durga Kalyani Paturi source 11
PharmaSUG 2022 Unravel the mystery around NONMEM data sets for statistical programmers Sabarinath Sundaram,
Lyma Faroz		 source 9
PHUSE US 2021 Commercially Confidential Information in clinical data publishing [presentation] Parvee Kumar source
video		 17
PHUSE US 2021 SDTM, ADaM and Database Normal Forms Implementation [presentation] Andrii Borzenkov source
video		 21
PharmaSUG 2021 Imputation for Missing Dosing Time in NONMEM PopPK Datasets Shuqi Zhao source 8
SESUG 2020 Look Up Not Down: Advanced Table Lookups in Base SAS Jayanth Iyengar,
Joshua M. Horstman		 source 28
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 Population PK Dataset: Basic Concepts and Challenges from the Perspective of a SAS Programmer Namrata Pokhrel source
presentation source		 12
PHUSE EU 2019 Pharmacokinetic and Statistical Considerations in First-in-Human Clinical Trials Joanna Magielse source
presentation source		 4
MWSUG 2019 Look Up Not Down: Advanced Table Lookups in Base SAS Jayanth Iyengar,
Joshua M. Horstman		 24
PharmaSUG 2019 Considerations in Effectively Generating PK Analysis Input Datasets Jianli Ping source 10
SGF 2019 The SAS Hash Object: Well Beyond Table Lookup Paul M. Dorfman,
Donald J. Henderson		 source 27
PHUSE US 2019 Building SQL Scripts Using Google Sheets R and R Shiny Huiming Tu source
presentation source		 19
WUSS 2018 Advanced Programming Techniques Using the DS2 Procedure Viraj R Kumbhakarna source 20
WUSS 2018 PROC DATASETS: The Swiss Army Knife of SAS Procedures Michael A. Raithel source 25
WUSS 2018 Validating User-Submitted Data Files with Base SAS Michael A. Raithel source 16
PHUSE US 2018 A Practical and Efficient Method of Calculating Actual Time Since Last Dose Data in PK Analysis Yingqiu Yvette Liu source
presentation source		 5
PHUSE US 2018 Making PK Analysis Easier: The New ADaM Data Standard ADNCA Peter Schaefer source
presentation source		 6
PHUSE US 2018 Methods for Handling Concentration Values Below the Limit of Quantification in PK Studies James R. Johnson source
presentation source		 9
PharmaSUG 2018 Challenges & Strategies in PKPD Programming Jing Su,
Jiannan Kang		 source 6
PharmaSUG 2018 Coming soon: ADNCA and the PK submission Luke Reinbolt,
Liz MacDonald		 source 6
PharmaSUG 2018 Compare Pharmacokinetic Data Submission Processes in CDISC Environment Xiaopeng Li,
Shallabh Mehta,
Edward Elam		 source 7
PharmaSUG 2018 Experience of electronic data submission via Gateway to PMDA Kumiko Kimura,
Iori Sakakibara,
Laurence Carpenter		 source 7
PharmaSUG 2018 PK Data Explained Timothy J. Harrington source 9
PharmaSUG 2018 Programming Support for Anti-Drug Antibody Pharmacokinetics in Therapeutic Protein Drug Development Linghui Zhang,
Jiannan Kang		 source 11
SGF 2018 Advanced Programming Techniques Using the DS2 Procedure Viraj R Kumbhakarna source 20
SGF 2018 Using Arrays to Quickly Perform Fuzzy Merge Look-ups: Case Studies in Efficiency Arthur L. Carpenter source 14
SGF 2018 Validating User-Submitted Data Files with Base SAS Michael A. Raithel source 16
PHUSE EU 2017 Constrain your Terminology - Use Integrity Constraints to Validate your Data Sven Greiner source
presentation source		 9
PharmaSUG 2017 Data Change Report Eric Kammer source 5
SGF 2017 Beyond Table Lookup: The Versatile SAS Hash Object Paul M. Dorfman,
Donald J. Henderson		 source 27
SGF 2017 PROC DATASETS: The Swiss Army Knife of SAS Procedures Michael A. Raithel source 25
SGF 2017 Yet Another Lookup Method: Updatable Indexed Data Sets Jack Hamilton source 15
SESUG 2016 PROC DATASETS: The Swiss Army Knife of SAS Procedures Michael A. Raithel source 25
MWSUG 2016 Calculating Cardinality Ratio in Two Steps Ronald J. Fehd 22
PharmaSUG 2016 Scrambled Data - A Population PK/PD Programming Solution Sharmeen Reza source 8
SGF 2016 Classifying Fatal Automobile Accidents in the US, 2010-2013: Using SAS Enterprise Miner to Understand and Reduce Fatalities Catherine LaChapelle,
Daniel Brannock,
Aric LaBarr,
Craig Shaver		 source 11
SGF 2016 PROC DATASETS: The Swiss Army Knife of SAS Procedures Michael A. Raithel source 25
SGF 2016 Survival Analysis of the Patients Diagnosed with Non-Small Cell Lung Cancer Using SAS Enterprise Miner 13.1 Raja Rajeswari Veggalam,
Akansha Gupta,
Goutam Chakraborty		 source 11
MWSUG 2015 Table Lookup Techniques: From the Basics to the Innovative Arthur L. Carpenter 11
PHUSE EU 2015 A Simple and Novel Approach for the Assessment of Clinical Pharmacokinetics (Fast-track PK Analysis) [presentation] Ramanatha Saralaya,
Nand Kishore Rawat		 source 12
WUSS 2015 DATA Step Merging Techniques: From Basic to Innovative Arthur L. Carpenter source 12
WUSS 2015 Managing Tables in Microsoft SQL Server using SAS Jason Chen,
Jon Javines,
Alan Schepps,
Yuexin (Cindy) Chen		 source 12
WUSS 2015 Using Arrays to Quickly Perform Fuzzy Merge Look-ups: Case Studies in Efficiency Arthur L. Carpenter source 14
PharmaSUG 2015 DATA Step Merging Techniques: From Basic to Innovative Arthur L. Carpenter source 12
PharmaSUG 2015 Programming Pharmacokinetic (PK) Timing and Dosing Variables in Oncology Studies: Demystified Kiran Cherukuri source 9
PharmaSUG 2015 Using Arrays to Quickly Perform Fuzzy Merge Look-ups: Case Studies in Efficiency Arthur L. Carpenter source 14
SGF 2015 Introduction to SAS Hash Objects Christopher W. Schacherer source 26
SGF 2015 Table Lookup Techniques: From the Basics to the Innovative Arthur L. Carpenter source 11
PHUSE EU 2014 Implementation of CDISC ADaM in the Pharmacokinetics Department Joanna Magielse,
Tineke Callant		 source
presentation source		 6
MWSUG 2014 DATA Step Merging Techniques: From Basic to Innovative Arthur L. Carpenter 11
MWSUG 2014 Introduction to SAS Hash Objects Christopher W. Schacherer 26
MWSUG 2014 SAS and Relational Databases: What You Should Know Before You Code Patricia Hettinger 15
MWSUG 2014 Using Arrays to Quickly Perform Fuzzy Merge Look-ups: Case Studies in Efficiency Arthur L. Carpenter 14
PharmaSUG CN 2014 Submission of Pharmacokinetics (PK) Data in a CDISC Compliant Format Yu Zhu 9
WUSS 2014 Table Lookup Techniques: From the Basics to the Innovative Arthur L. Carpenter source 11
PharmaSUG 2014 Table Lookup Techniques: From the Basics to the Innovative Arthur L. Carpenter source 11
SGF 2014 DATA Step Merging Techniques: From Basic to Innovative Arthur L. Carpenter source 10
SGF 2014 Integrating and Using Hierarchical Vocabularies in SAS Glenn Colby source 22
SCSUG 2013 Introduction to SAS Hash Objects Christopher W. Schacherer source 26
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 Data Review Information: N-Levels or Cardinality Ratio Ronald J. Fehd source 6
SESUG 2013 Database Vocabulary: Is Your Data Set a Dimension (LookUp) Table, a Fact Table or a Report? Ronald J. Fehd source 9
PHUSE EU 2013 Pharmacokinetics Standardisation: Patients' Healthcare is Becoming Central Francois Vandenhende source
presentation source		 4
MWSUG 2013 Data Review Information: N-Levels or Cardinality Ratio Ronald J. Fehd 6
PharmaSUG 2013 A SAS Based MedDRA Coding System Charley Z. Wu,
Dona-Lyn Wales		 source 6
PharmaSUG 2013 Map Metadata - Going Beyond the Obvious/Connecting the Dots Gregory C. Steffens,
Praveen Garg		 source 8
PharmaSUG 2013 The Hash of Hashes as a "Russian Doll" Structure: Application to Clinical Adverse Events Data Analysis Joseph W. Hinson source 12
SGF 2013 Data Review Information: N-Levels or Cardinality Ratio Ronald J. Fehd source 6
SGF 2013 PROC DATASETS: The Swiss Army Knife of SAS Procedures Michael A. Raithel source 25
NESUG 2012 Creating a Data Dictionary for an Oracle Database Using SAS 9.3 Christopher Battiston 8
SESUG 2012 A Handy New SAS Tool for Comparing Dynamic Datasets LaTonia Richardson source 5
PharmaSUG 2012 SAS File Design: Guidelines for Statisticians and Data Managers Douglas Zirbel source 6
PharmaSUG 2012 Streamlining Regulatory Submission with CDISC/ADaM Standards for Non-standard Pharmacokinetic/Pharmacodynamic Analysis Datasets Xiaopeng Li,
Katrina E. Canonizado,
Chun Feng,
Nancy Wang		 source 6
SCSUG 2011 Finding Oracle Table Metadata: When PROC CONTENTS Is Not Enough Jeremy Poling source 12
PHUSE EU 2011 Don't Bring a Spreadsheet to a Database Fight: Case for Microsoft Access Ryan Burns source
presentation source		 5
PHUSE EU 2011 Much ADaM about Nothing - a PROC Away in a Day Endri Endri,
Rowland Hale		 source
presentation source		 8
NESUG 2011 Geometric Statistics in PK Analysis - Programmeres Perspective Niraj J. Pandya,
Smitha Mullapudi		 4
SGF 2011 Base SAS Methods for Building Dimensional Data Models Christopher W. Schacherer source 12
SGF 2011 PROC DATASETS: The Swiss Army Knife of SAS Procedures Michael A. Raithel source 25
SGF 2011 Romancing Your Data: The Getting-to-Know-You Phase Carole Jesse source 12
SGF 2011 Using Hash Tables to Obtain Matched Post-Hoc Control Populations Jeffrey Reiss,
Elayne Reiss		 source 7
NESUG 2010 Normalizing SAS Datasets Using User Defined Formats David D. Chapman 7
SCSUG 2010 PROC DATASETS: The Swiss Army Knife of SAS Procedures Michael A. Raithel source 25
SCSUG 2010 SAS and Relational Databases: What You Must Know Patricia Hettinger source 18
WUSS 2010 Check and Document Data Integrity with PROC DATASETS Patrick Thornton source 10
WUSS 2010 PROC DATASETS: The Swiss Army Knife of SAS Procedures Michael A. Raithel source 25
PHUSE EU 2010 Phase III Macro-System Wolf-Dieter Batz source
presentation source		 6
PHUSE EU 2010 The Use of Meta Data in Creating, Transforming and Transporting Clinical Data Gregory C. Steffens source
presentation source		 9
MWSUG 2010 Base SAS Methods for Building Dimensional Data Models Christopher W. Schacherer 16
MWSUG 2010 Romancing Your Data: The Getting-to-Know-You Phase Carole Jesse 12
SESUG 2010 SAS and Relational Databases: What You Must Know Patricia Hettinger source 12
PharmaSUG 2010 Validation: Quick and Easy Wancheng Luo 14
SGF 2010 PROC DATASETS: The Swiss Army Knife of SAS Procedures Michael A. Raithel source 25
SGF 2010 SAS Scalable Performance Data Server: Star Schema Support Daniel M. Sargent source 12
SESUG 2009 Resolving Value Differences among Duplicates, A Rule-based Approach David H. Abbott,
L. Douglas Melton,
Steven C. Grambow,
George L. Jackson		 source 11
PHUSE EU 2009 Accelerate Clinical Development through Management of Data Quality [presentation] David Smith source 30
PHUSE EU 2009 XML Managment Using SAS Marco Bertolino source 12
PharmaSUG 2009 A Flexible, User-Friendly Methodology for Data Set Comparison Michael Thompson 9
SGF 2009 How to Leverage Oracle Bulk-load for Performance Jun Cai source 10
SGF 2009 Using SAS OLAP Server for a ROLAP Scenario John Graas,
Brian Mitchell,
Tatyana Petrova,
Mary Simmons,
Michelle Wilkie		 source 20
WUSS 2008 Database Vocabulary: Is Your Data Set a Dimension (LookUp) Table, a Fact Table or a Report? Ronald J. Fehd source 8
WUSS 2008 The Essentials of Finding the Distinct, Unique, and Duplicate Values in Your Data Carter Sevick source 8
WUSS 2008 The Power of the BY Statement Toby Dunn,
Paul A. Choate		 source 16
SESUG 2008 Database Vocabulary: Is Your Data Set a Dimension (LookUp) Table, a Fact Table or a Report? Ronald J. Fehd source 8
SESUG 2008 Utilizing Hash Tables to Obtain Matched Post-Hoc Control Populations Elayne Reiss,
Jeffrey Reiss		 source 9
PNWSUG 2008 Database Vocabulary: Is Your Data Set a Dimension (LookUp) Table, a Fact Table or a Report? Ronald J. Fehd 8
PNWSUG 2008 MODIFY The Most Under-Appreciated of the Data Step File Handling Statements Curtis E. Mack 12
NESUG 2008 Effective Use of SQL in SAS Programming Yi Zhao 8
NESUG 2008 How Do I Love Hash Tables? Let Me Count The Ways! Judy Loren 14
PharmaSUG 2008 Cost-Effective Solution to Automating the Creation of CDISC define.xml: Using SAS Data _Null_ with Relational Data Model via SAS/AF Application Annie S. Guo 12
SGF 2008 Academic Business Intelligence System Development Using SAS Tools Azman B. Taa source 13
SGF 2008 How Do I Love Hash Tables? Let Me Count The Ways! Judy Loren source 14
SGF 2008 Metadata for SAS 9 Programmers Elena Muriel,
Paul Simkin		 source 11
SGF 2008 SAS Scripting of a Production Database into an Open Test Environment Sigurd W. Hermansen,
Himanshi Singh,
Laura Hrycyk		 source 5
NESUG 2007 MedDRA Dictionary: Reporting Version Updates Using SAS and Excel Richard Zhou,
Denis Michel		 10
WUSS 2007 The Power of the BY Statement Toby Dunn,
Paul A. Choate		 source 16
SCSUG 2007 How Do I Love Hash Tables? Let Me Count The Ways! Judy Loren 14
SGF 2007 Population Pharmacokinetics Studies with Nonlinear Mixed Effects Modeling Zaizai Shen,
David Lu		 source 11
SGF 2007 The Power of the BY Statement Paul A. Dunn,
Toby Choate		 source 16
SGF 2007 Using the DATASETS Procedure - Part II David Fickbohm source 10
PNWSUG 2006 MODIFY The Most Under-Appreciated of the Data Step File Handling Statements Curtis E. Mack 12
PHUSE EU 2006 The Converter Tool: An in-house ETL solution built with SAS/AF Beco Isia source 7
SESUG 2006 Stars and Models: How to Build and Maintain Star Schemas Using SAS Data Integration Server in SAS9 Nancy A. Rausch source 24
WUSS 2006 How to Leverage Oracle Bulk-load for Performance Jun Cai source 10
NESUG 2006 How Do I Love Hash Tables? Let Me Count The Ways! Judy Loren 14
NESUG 2006 Need a Speedy Index? RAM It! Lessia S. Shajenko,
Paul M. Dorfman		 14
SUGI 2006 Crafting Your Own Index: Why, When, How Paul M. Dorfman,
Lessia S. Shajenko		 source 14
SUGI 2006 Improve Database Transaction Processing Using MODIFY, the Most Under-Appreciated DATA Step File-Handling Statement Curtis E. Mack source 12
SUGI 2006 Stars and Models - How to Build and Maintain Star Schemas Using SAS ETL Server Nancy A. Rausch source 24
SUGI 2006 Using Database Principles to Optimize SAS Format Construction from Tabular Data Perry Watts source 20
PNWSUG 2005 MODIFY The Most Under-Appreciated of the Data Step File Handling Statements Curtis E. Mack 12
PHUSE EU 2005 Harmonised PK Analysis & Reporting Ian Barretto source 1
PharmaSUG 2005 Creating Efficient SQL - The De-normalize Transpose Paul D. Sherman 14
SUGI 2005 Automation of Code Leads to a Vacation for You: Enabling and Disabling Table Constraints in an Oracle Table with SAS X Commands David Steves,
Denise A. Figliozzi		 source 5
SUGI 2005 Taming Transformation: A Strategy for Metadata within the Warehouse Katherine Prairie source 9
NESUG 2004 Programming Techniques for Data Mining with SAS Samuel Berestizhevsky,
Tanya Kolosova		 14
WUSS 2004 Creating Efficient SQL - Four Steps to a Quick Query Paul D. Sherman source 8
WUSS 2004 Next Generation Data Warehousing with SAS 9 Gary Mehler source 10
WUSS 2004 Reading and Writing XML Files from SAS Miriam Cisternas,
Ricardo A. Cisternas		 source 18
PNWSUG 2004 Reading and Writing XML Files from SAS Peter J. Lund
PharmaSUG 2004 Reading and Writing XML Files from SAS Miriam G. Cisternas 18
PharmaSUG 2004 Why SAS is the Best Place to Put Your Clinical Data Steven A. Wilson 12
SUGI 2004 Dirty Data? dfPower Studio to the Rescue! Kimberly A. Todd,
Catherine A. Lindsey,
Kristin M. Debnar		 source 9
SUGI 2004 Hash Component Objects: Dynamic Data Storage and Table Look-Up Paul M. Dorfman,
Koen Vyverman		 source 18
SUGI 2004 Mainframe SAS for the 21st Century Kryn Krautheim source 9
SUGI 2004 Next Generation Data Warehousing with SAS 9 Gary Mehler source 11
SUGI 2004 Reading and Writing XML Files from SAS Miriam G. Cisternas,
Ricardo A. Cisternas		 source 19
SUGI 2004 Why SAS is the Best Place to Put Your Clinical Data Steven A. Wilson source 13
WUSS 2003 Reading and Writing XML Files from SAS Miriam Cisternas,
Ricardo A. Cisternas		 source 7
WUSS 2003 Why SAS is the Best Place to Put Your Clinical Data Steven A. Wilson source 10
SESUG 2003 Table Lookup By Direct Addressing: From V8 To V9 Paul M. Dorfman source 13
NESUG 2003 Next Generation Warehousing with Version 9 Gary Mehler 10
NESUG 2003 Table Lookup By Direct Addressing: From V8 To V9 Paul M. Dorfman 14
PharmaSUG 2003 Clinical Data Model and FDA/CDISC Submissions Mark Edwards,
Gajanan Bhat		 10
PharmaSUG 2003 Why SAS is the Best Place to Put Your Clinical Data Steven A. Wilson 10
SUGI 2003 Dynamically Building SQL Queries Using Metadata Tables and Macro Processing Michael J. Molter,
Scott T. Millard,
Steve B. Paciocco		 source 4
SUGI 2003 Hashing: Generations Paul M. Dorfman,
Gregg P. Snell		 source 10
SUGI 2003 Next Generation Warehousing with Version 9 Gary Mehler source 10
SUGI 2003 Why SAS is the Best Place to Put Your Clinical Data Steven A. Wilson source 6
NESUG 2002 An Animated Guide: Speed Merges with Key Indexing, Bitmapping and Hashing Paul M. Dorfman,
Russell M. Lavery		 10
SESUG 2002 Structured Query Language: Logic, Structure, and Syntax Sigurd W. Hermansen source 10
SUGI 2002 Creating Efficient SQL - Four Steps to a Quick Query Paul D. Sherman source 5
SUGI 2002 Unit-of-Analysis Programming Vanessa C. Hayden source 6
WUSS 2001 Clean Your Data with PROC SQL Ann Olmsted source 5
SESUG 2001 Direct Addressing Techniques of Table Look-Up Part 1. Key-Indexing - Bitmapping Part 2. Hashing Paul M. Dorfman source 10
SESUG 2001 Fuzzy Key Linkage Robust Data Mining Methods for Real Databases Sigurd W. Hermansen source 10
SCSUG 2001 Direct Addressing Techniques of Table Look-Up Part 1. Key-Indexing - Bitmapping Part 2. Hashing Paul M. Dorfman 10
SCSUG 2001 Fuzzy Key Linkage Robust Data Mining Methods for Real Databases Sigurd W. Hermansen 18
SEUGI 2001 A Design Framework for Combining Click Stream and Customer Data for an e-CRM Solution [presentation] Mark Ansell source 21
SEUGI 2001 From Oracle to SAS: converting a large data warehouse Clare Somerville source 8
SEUGI 2001 Fuzzy key linkage: robust methods for real databases Sigurd W. Hermansen source 13
SEUGI 2001 Web-Based OLTP System Using SAS [presentation] Haidong (Don) Tang source 75
PharmaSUG 2001 Techniques and Strategies Used in Building a SAS-Based Clinical Data Management System David L. Ward,
Bound Brook		 4
PharmaSUG 2001 Unit-of-Analysis Programming Vanessa C. Hayden,
Fidelity Investments		 6
SUGI 2001 Data Modeling in Clinical Data Analysis Projects Gajanan Bhat source 6
SUGI 2001 Migrate to Oracle? I Need My SAS!! Dianne Louise Rhodes source 5
SUGI 2001 Quick Disk Table Look-up via Hybrid Indexing into a Directly Addressed SAS Data Set Paul M. Dorfman source 6
SUGI 2001 Table Look-Up by Direct Addressing: Key-Indexing - Bitmapping - Hashing Paul M. Dorfman source 10
SESUG 2000 Integrity Constraints and Audit Trails Working Together Gary S. Franklin source 6
SESUG 2000 Organizing Ultra-Quick Disk Table Lookup via Hybrid Indexing Into a Directly Addressed SAS Data Set Paul M. Dorfman source 6
SESUG 2000 Table Lookup via Direct Addressing: Key-Indexing, Bitmapping, Hashing Paul M. Dorfman source 11
SESUG 2000 Think Thin 2-D: "Reduced Structure" Database Architecture Sigurd W. Hermansen source 5
NESUG 2000 A SAS Data Dictionary for Achieving Analysis Dataset Compliance to FDA Guidance on Providing Submissions in Electronic Format Thomas Guinter 4
NESUG 2000 Migrate to ORACLE? I Need My SAS Software! Dianne Louise Rhodes 5
SEUGI 2000 New Features and usage technology of SAS/ACCESS to R/3 [presentation] Patricia Blankson source 29
PharmaSUG 2000 Data Modeling in Clinical Data Analysis Projects Gajanan Bhat 3
PharmaSUG 2000 Efficient SAS Quality Checks: Unique Error Identification And Enhanced Data Management Analysis Jim Grudzinski 6
PharmaSUG 2000 Integrity Constraints and Audit Trails Working Together Gary S. Franklin 6
SUGI 2000 Data Warehouse Design Issues for ERP Mark Moorman source 5
SUGI 2000 Integrity Constraints and Audit Trails Working Together Gary S. Franklin,
Art Jensen		 source 6
SUGI 2000 Migrate to ORACLE? I Need My SAS Software! Dianne Louise Rhodes source 5
SUGI 2000 Notes from the Outer Limits of 4GL RDBMS/SQL: The SAS System to the Rescue Sigurd W. Hermansen source 6
SUGI 2000 Private Detectives in a Data Warehouse: Key-Indexing, Bitmapping, and Hashing Paul M. Dorfman source 10
SESUG 1999 An Introduction to the Next Big Thing: Parallel Computing John E. Bentley source 10
SESUG 1999 What's New in Versions 7 and 8 for SAS Files? Jane Stroupe source 6
SEUGI 1999 New Features of SAS Data Libraries in Version 8 [presentation] Luigi Golfieri source 33
SUGI 1999 Relational Database Schemes and SAS Software SQL Solutions Sigurd W. Hermansen source 9
SUGI 1999 SAS RDBMS!A GUI Approach to Data Entry Using SAS/AF Software Enforced with Relational Model Integrity Constraints from ORACLE Annie S. Guo source 6
SCSUG 1998 Slug Hunting - Using SAS to Evaluate Your Database Access Strategies in DB2 Kathe Richards 10
SCSUG 1998 Sometimes You get What You Want: SAS I/O Enhancements for Version 7 Steve Beatrous,
Billy Clifford		 9
SUGI 1998 Sometimes You Get What You W ant: SAS I/O Enhancements in Version 7 Steve Beatrous,
Billy Clifford		 source 9
PharmaSUG 1997 ClinAccess: An Integrated Client/Server Approach to Clinical Data Management and Regulatory Approval Martin J. Rosenberg 9
SESUG 1996 A Relational Database Primer for SAS Programmers Paul Dalberth 8
NESUG 1996 Buidling a Data Warehouse with SAS Software: A Recipe for Success Karen Grippo,
John Chen		 7
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
SUGI 1996 A Relational Database Primer tor SAS Programmers Paul Dalberth source 8
SUGI 1996 Building a Data Warehouse with SAS Software: Recipe for Success Karen Grippo,
John Chen		 source 7
SUGI 1996 ClinAccess: An Integrated Client/Server Approach to Clinical Data Management and Regulatory Approval Martin J. Rosenberg source 9
MWSUG 1995 Data Management and Manipulation: Examples for Normalized Databases and Spreadsheets Marlene Goormastic,
Shelly Sapp		 6
WUSS 1995 ClinAccess: An Integrated Client/Server Approach to Clinical Data Management and Regulatory Approval Martin J. Rosenberg source 9
SEUGI 1995 Clinical Dual Entry Principles and Implementation Using FSEDIT Jayantha Peiris source 8
SUGI 1995 ClinAccess: A Client/Server Approach to Clinical Trials Data Management and Regulatory Approval Martin J. Rosenberg source 7
NESUG 1994 Using SAS with Oracle Products for Database Management and Reporting Henry W. Buffum,
Darryl J. Keith		 7
SESUG 1994 APPLICATIONS DEVELOPMENT An Implementation of SASe in an Environmental Information System Teresa James 6
SEUGI 1994 A Pharmacokinetic Solution Using the SAS System Adrian Cottrell source 5
SUGI 1994 Code-Free Data Validation and Verification Samuel Berestizhevsky,
Tanya Kolosova		 source 4
SUGI 1994 Developing Integrated Clinical Trials Systems: The ClinAccess Experience Martin J. Rosenberg source 7
WUSS 1993 An Integrated Clinical Trials System Utilizing Client Server and Graphical User Interface Technology Martin J. Rosenberg source 7
SUGI 1993 An Integrated Clinical Trials System Utilizing Client Server and Graphical User Interface Technology Martin J. Rosenberg source 7
SEUGI 1992 Database Features Extend the Scope of SAS/SHARE Software Colin J. Harris source 6
SUGI 1992 Advanced Programming Topics for the SAS/ACCESS Interface to DB2 Using the New Features of Release 6.07 Bradley W. Klenz,
Charles A. Jacobs		 source
SUGI 1992 An Integrated Clinical Information System for Pharmaceutical Research Martin J. Rosenberg source 7
SUGI 1992 Database Features Extend the Scope of SAS/SHARE Software William D. Clifford source 6
SCSUG 1991 Considerations for a SAS 6.06 AF/FSP and DB2 Application Kent Andrew Spencer 3
SEUGI 1991 SAS/ACCESS Software to DB2 for Decision Support in a Large Industrial Organization (Conversion, Experiences, Requirements) P.J. M. van Kleef source 6
SEUGI 1991 Structuring SAS Datasets for Use with SQL Lasse Mussaka source 4
SUGI 1991 A Clinical Data Review System to Facilitate Pharmaceutical Research Martin J. Rosenberg source 9
SUGI 1991 Database Design Options Using Release 6.06 of the SAS System Tim Feetham,
Sally Witt,
Lauri Vance		 source 3
SUGI 1991 Normalized Data: Implications for the Use of SAS Software, SQL, and Views Patricia L. Gerend source 5
SUGI 1991 Relational Database Design Theory: An Overview Faith Reneé Sloan source 6
SUGI 1991 Structuring SAS Data Sets for Use with the SQL Procedure Lewis Church Jr. source 4
SUGI 1991 The SAS System: Interface to DEC'"'s Common Data Dictionary Ken D. Worsham source 6
SUGI 1991 Why Be Normal? Constructing SAS Based Tools to Facilitate Database Design Peter Kretzman source 7
SUGI 1991 X Command - Your Gateway to Speedy PC Inquiries Peter S. Dillingham source 5
SUGI 1990 Creating and Managing an SQL'"Database with the SAS' System Mark Stranieri source 6
SUGI 1990 DB2 and SAS/DB2 Software EXPLAINed Diane E. Brown source 6
SUGI 1990 Interfacing Normalized Relational Database Structures with SAS Software James R. Johnson,
Roger D. Cornejo		 source 8
SUGI 1990 The Relational versus Hierarchical Database Debate Continues Alma Zuniga source 4
SUGI 1990 Tips and Techniques for Using I/O Subsystems in Version 6 of the SAS System under VMS. Darylene Hecht source 7
SUGI 1988 An External File Interface for ISAM Files under VMS Wayne Hester source 3

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