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386 papers and 10 presentations; 289 titles.

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Conference × Year × Title × Authors Extras Pages
PharmaSUG 2026 Applications of PROC COMPARE to Parallel Programming and other projects Jayanth Iyengar source 21
PharmaSUG 2026 Automating Character Variable Length Updates Using SAS Macros [presentation] Carleigh Jo Crabtree source 7
PharmaSUG 2026 Efficiency Techniques in SAS 9.4 Stephen B. Sloan source 9
PharmaSUG 2026 SAS Performance Tuning Techniques (From Slow to Scalable) Kirk Paul Lafler source 18
PHUSE US 2026 AI-Optimised AESI Flagging: Streamlined SAS Hash Table Logic with Dynamic CALL EXECUTE and Metadata-Driven Specifications Hang Zhong,
Rashad Rasul,
Jiaqi Hu		 source
presentation source		 12
PHUSE EU 2025 Efficient Conversion of SDTM/ADaM Specifications from Excel to Define-XML v2.1 Using Pinnacle 21 Community Hiromi Okada,
Seiko Yamazaki		 source
presentation source		 15
MWSUG 2025 Applications of PROC COMPARE to Parallel Programming and other projects Jayanth Iyengar source 21
SESUG 2025 Efficiency Techniques in SAS 9 Stephen B. Sloan 9
SESUG 2025 RIGHT-SIZING CHARACTER VARIABLES: A SAS DATA MANAGEMENT STRATEGY FOR OPTIMIZING LARGE DATASETS Divya Gadde 7
SESUG 2025 SAS and R in Action: Comparison of XPT File Creation Chen Ling 7
WUSS 2025 Applications of PROC COMPARE to Parallel Programming and other projects Jayanth Iyengar source 21
WUSS 2025 Going to great lengths: Using VARCHARs in the DATA step Richard D. Langston source 14
PharmaSUG 2025 Efficiency Techniques in SAS 9 Stephen B. Sloan source 9
MWSUG 2024 Using SAS To Manage And Maintain Your Data Repository [presentation] Jose Centeno source 16
SESUG 2024 Introduction to Character Strings Jason L. Ford source 23
SESUG 2024 One Click to Create a List of MEPS-HC ZIP Files' Download URLs: Web Scraping with SAS and Python Pradip K. Muhuri,
Charles Z.X. Han,
John Vickery		 source 20
SESUG 2024 The Dreaded Data Type Conversion, Character to Numeric, Numeric to Character, a Deep Dive. Emily F. Zucker source 12
WUSS 2024 A Survey of Some of the Most Useful SAS Functions [presentation] Ronald P. Cody source 61
PharmaSUG CN 2024 Fighting with Special Characters in Data Management Programmer's Daily Work Fei Guo source 20
PharmaSUG 2024 Automated Harmonization: Unifying ADaM Generation and Define.xml through ADaM Specifications Wei Shao,
Xiaohan Zou		 source 10
PharmaSUG 2024 Externally Yours - Adeptly Managing Data Outside Your EDC System Frank Canale source 38
SESUG 2023 How to Merge SAS Datasets with PII Julie Plano,
Keli Sorrentino		 source 6
SESUG 2023 Methods and Tools for Publishing at SESUG and Beyond-Basic Techniques James E. Blum,
Jonathan W. Duggins		 source 22
PharmaSUG 2023 Friends are better with Everything: A User-s Guide to PROC FCMP Python Objects in Base SAS Matthew T. Slaughter,
Isaiah Lankham		 source 28
PHUSE US 2023 The Ultimate Update to ADaM Specification Template that Simplifies ADaM Programming and Creation of Define XML [presentation] Yuanyuan Liu,
Xiang Wang		 source
video		 18
SESUG 2022 Functions (and More!) on CALL! Richann J. Watson,
Louise S. Hadden		 source 33
WUSS 2022 A Survey of Some of the Most Useful SAS Functions Ronald P. Cody source 16
WUSS 2022 Friends are better with Everything: Using PROC FCMP Python Objects in Base SAS Matthew T. Slaughter,
Isaiah Lankham		 source 24
WUSS 2022 Functions (and More!) on CALL! Richann J. Watson,
Louise S. Hadden		 source 33
PharmaSUG 2022 Functions (and More!) on CALL! Richann J. Watson,
Louise S. Hadden		 source 33
PHUSE US 2022 The Conversion of an SAS Macro to R [presentation] Franklin E. Menius source
video		 9
SESUG 2021 Copying Data Between SAS and JSON Files Bruce F. Gilsen source 30
PHUSE US 2021 SDTM, ADaM and Database Normal Forms Implementation [presentation] Andrii Borzenkov source
video		 21
PharmaSUG 2021 How to Write a SAS Open Code Macro to Achieve Faster Updates Frederick A. Cieri source 32
PharmaSUG 2021 Open-Source Development for Traditional Clinical Reporting Michael Stackhouse,
Nathan Kosiba		 source 6
SGF 2021 Copying Data Between SAS and JSON Files Bruce F. Gilsen source
presentation		 30
SGF 2021 Transcoding: Understand, Troubleshoot, and Resolve a Most Mysterious SAS Error Yun (Julie) Zhuo source
presentation		 14
PHUSE EU 2020 The Good? The Bad? Or the Ugly? CDISC eSubmission Packages in Practice [presentation] Artur Krupa source
video		 26
SGF 2020 Some _FILE_ Magic Michael S. Zdeb source 7
SGF 2020 Tips, Traps, and Techniques in BASE SAS for vertically combining SAS data sets Jayanth Iyengar source 18
SGF 2020 Your Data Will Go On: Practice for Character Data Migration Edwin Xie source 13
PharmaSUG 2020 Supplementary Steps to Create a More Precise ADaM define.xml in Pinnacle 21 Enterprise Majdoub Haloui,
Hong Qi		 source 10
PHUSE EU 2019 I love SAS logs (and You Can Too) Sarah Berenbrinck source
presentation source		 9
SESUG 2019 SAS PROC IMPORT Troubleshooting Guide Imelda C. Go,
Wendi L. Wright		 source 12
SESUG 2019 Vetting Differences Between Relational Database Definitions and Actual Data with SAS Vetting Differences source 11
WUSS 2019 Merge with Caution: How to Avoid Common Problems when Combining SAS Datasets Joshua M. Horstman source 16
WUSS 2019 Order, Order! Four Ways to Reorder Your Variables, Ranked by Elegance and Efficiency Louise S. Hadden source 20
PharmaSUG 2019 Automate the Process to Ensure the Compliance with FDA Business Rules in SDTM Programming for FDA Submission Xiangchen (Bob) Cui,
Hao Guan,
Min Chen,
Letan (Cleo) Lin		 source 16
PharmaSUG 2019 Order, Order! Four Ways To Reorder Variables with SAS, Ranked by Elegance and Efficiency. Louise S. Hadden source 22
SGF 2019 Does the Cat Have Your Tongue? Using the VNAME and CATX Functions to Get SAS to Speak to You Gayle K. Springer source 6
SGF 2019 Tips, Traps, and Techniques in BASE SAS for vertically combining SAS data sets Jayanth Iyengar source 18
PHUSE US 2019 A Macro Tool to Reduce the Size of the Regulatory Submission Dataset Venkata Madhira source
presentation source		 7
PHUSE US 2019 High-quality Study Data Standards for Submission Majdoub Haloui,
Ellen L. Asam		 source
presentation source		 9
SCSUG 2018 Merge with Caution: How to Avoid Common Problems when Combining SAS Datasets Joshua M. Horstman source 16
SCSUG 2018 Order, Order! Four Ways to Reorder Your Variables, Ranked by Elegance and Efficiency Louise S. Hadden source 20
PHUSE EU 2018 Generating Define-XML and Analysis Results Metadata Using Specifications, Datasets and TFL Annotation Mark Crangle source
presentation source		 13
PHUSE EU 2018 Time Management: Programming Techniques to Positively Impact Runtimes Ian Sanderson source
presentation source		 9
SESUG 2018 Order, Order! Four Ways to Reorder Your Variables, Ranked by Elegance and Efficiency Louise S. Hadden source 20
SESUG 2018 Reducing the Length of Character Variables in a SAS Data Set Bruce F. Gilsen source 10
MWSUG 2018 How to Avoid Possible Tricks When Using DATA STEP MERGE Instead of PROC SQL JOIN Guangtao Gao 27
MWSUG 2018 Merge with Caution: How to Avoid Common Problems when Combining SAS Datasets Joshua M. Horstman 16
MWSUG 2018 Order, Order! Four Ways to Reorder Your Variables, Ranked by Elegance and Efficiency Louise S. Hadden 20
MWSUG 2018 Purrfectly Fabulous Feline Functions Louise S. Hadden 15
MWSUG 2018 Tips, Traps, and Techniques in BASE SAS for vertically combining SAS data sets Jayanth Iyengar 18
WUSS 2018 A Macro to Avoid P21 FDAC036 Error Message for Regulatory Submission Datasets Venkata Madhira,
Prabhakara Rao Burma		 source 3
WUSS 2018 A Survey of Some of the Most Useful SAS Functions Ronald P. Cody source 16
WUSS 2018 Purrfectly Fabulous Feline Functions Louise S. Hadden source 15
PHUSE US 2018 A Macro Tool to Find and/or Split Variable Text String Greater Than 200 Characters for Regulatory Submission Datasets Venkata Madhira source
presentation source		 8
PHUSE US 2018 Generating Define.xml v2.0 and Analysis Result Metadata using ADaM Specifications ADaM Datasets and TFL Shells Annotation Mark Crangle,
Hima Bhatia		 source
presentation source		 9
PharmaSUG 2018 Automatically Configure SDTM Specifications Using SAS and VBA Xingxing Wu source 15
PharmaSUG 2018 Automation of STDM dataset integration and ADaM dataset formation Rinki Jajoo,
William Wei		 source 11
PharmaSUG 2018 Merge with Caution: How to Avoid Common Problems when Combining SAS Datasets Joshua M. Horstman source 16
PharmaSUG 2018 Purrfectly Fabulous Feline Functions Louise S. Hadden source 15
PharmaSUG 2018 UTF What? A Guide for Handling SAS Transcoding Errors with UTF-8 Encoded Data Michael Stackhouse,
Lavanya Pogula		 source 15
SGF 2018 A Macro for Ensuring Data Integrity When Converting SAS Data sets Richard D. Langston source 6
SGF 2018 A Survey of Some of the Most Useful SAS Functions Ronald P. Cody source 16
SGF 2018 Merge with Caution: How to Avoid Common Problems when Combining SAS Datasets Joshua M. Horstman source 16
SGF 2018 Using Arrays to Quickly Perform Fuzzy Merge Look-ups: Case Studies in Efficiency Arthur L. Carpenter source 14
SESUG 2017 A Data-Driven Approach for Generating Define.xml v2.0 using ADaM Specifications and ADaM Datasets Jaskaran Sing Gill,
Hima Bhatia,
ICON Plc		 source 8
SESUG 2017 Merge with Caution: How to Avoid Common Problems when Combining SAS Datasets Joshua M. Horstman source 14
PHUSE EU 2017 Common Mistakes by Programmers & Remedies Venkata Sairam Veeramalla source
presentation source		 9
MWSUG 2017 Merge with Caution: How to Avoid Common Problems when Combining SAS Datasets Joshua M. Horstman 14
WUSS 2017 Merge with Caution: How to Avoid Common Problems when Combining SAS Datasets Joshua M. Horstman source 14
PharmaSUG 2017 Merge with Caution: How to Avoid Common Problems when Combining SAS Datasets Joshua M. Horstman source 10
PharmaSUG 2017 Preparing Analysis Data Model (ADaM) Data Sets and Related Files for FDA Submission Sandra Minjoe source 12
PharmaSUG 2017 Remove the Error: Variable length is too long for actual data Eric Larson source 9
SGF 2017 A Survey of Some of the Most Useful SAS Functions Ronald P. Cody source 16
SGF 2017 Go Ahead and _BREAK_-down: Advanced COMPUTE Block Examples Cynthia L. Zender source
zip		 30
SGF 2017 Going Green With Your SAS Applications Michael A. Raithel source 17
SGF 2017 Preparing Analysis Data Model (ADaM) Data Sets and Related Files for FDA Submission with SAS Sandra Minjoe,
John K. Troxell		 source 12
SCSUG 2016 Key Reasons for SAS Data Set Size Difference by SAS Grid Migration Piyush K. Singh,
Prasoon Sangwan		 source 10
SCSUG 2016 Using INFILE and INPUT Statements to Introduce External Data into the SAS System Andrew T. Kuligowski source 18
SESUG 2016 Fundamentals of the The SAS Hash Object Paul M. Dorfman source 23
SESUG 2016 Some _FILE_ Magic Michael S. Zdeb source 7
PharmaSUG CN 2016 The Impact of Change from wlatin1 to UTF-8 Encoding in SAS Environment Hui Song,
Anja Koster		 12
PharmaSUG 2016 A Practical Approach to Re-sizing Character Variable Lengths for FDA Submission Datasets (both SDTM and ADaM) Xiangchen (Bob) Cui,
Min Chen		 source 19
PharmaSUG 2016 SAS Techniques for Managing Large Datasets Rucha Landge source 7
PharmaSUG 2016 The Impact of Change from wlatin1 to UTF-8 Encoding in SAS Environment Hui Song,
Anja Koster		 source 12
SGF 2016 A Survey of Some of the Most Useful SAS Functions Ronald P. Cody source 16
SGF 2016 Can You Read This into SAS for Me? Using INFILE and INPUT to Load Data into SAS Peter W. Eberhardt,
Audrey Yeo		 source 20
SGF 2016 Greenspace: A Macro to Improve a SAS Data Set Footprint Brian K. Varney source 7
SGF 2016 Masking Data to Obscure Confidential Values: A Simple Approach Bruce F. Gilsen source 19
SGF 2016 Virtual Accessing of a SAS Data Set Using OPEN, FETCH, and CLOSE Functions with %SYSFUNC and %DO Loops Amarnath Vijayarangan source
presentation		 6
SCSUG 2015 Reassigning Character/Numeric Variables length across multiple datasets for Efficiency and Consistency Srinivas Vanam,
Phaneendhar Reddy Vanam,
Mahipal Vanam		 source 12
MWSUG 2015 Greenspace: A Macro to Improve a SAS Data Set Footprint Brian K. Varney 6
MWSUG 2015 Table Lookup Techniques: From the Basics to the Innovative Arthur L. Carpenter 11
PHUSE EU 2015 ADaM - Our Experience Rob Wartenhorst source
presentation source		 5
PHUSE EU 2015 Slim Down Your Data Mickael Borne source
presentation source		 10
SESUG 2015 A Survey of Some of the Most Useful SAS Functions Ronald P. Cody source 16
SESUG 2015 Greenspace: A Macro to Improve a SAS Data Set Footprint Brian K. Varney,
Experis Business Intelligence		 source 6
SESUG 2015 Masking Data to Obscure Confidential Values: A Simple Approach Bruce F. Gilsen source 19
WUSS 2015 Using Arrays to Quickly Perform Fuzzy Merge Look-ups: Case Studies in Efficiency Arthur L. Carpenter source 14
PharmaSUG CN 2015 Reading and Resolving OpenCIDSC Message [presentation] Yu Pang 23
PharmaSUG CN 2015 Tips for efficient CDISC eCRT production Lanting Li,
Yu Zhu,
Yuejuan Meng,
Huan Zhu		 11
PharmaSUG 2015 Inside the DATA Step: Pearls of Wisdom for the Novice SAS Programmer Joshua M. Horstman,
Britney D. Gilbert		 source 11
PharmaSUG 2015 Using Arrays to Quickly Perform Fuzzy Merge Look-ups: Case Studies in Efficiency Arthur L. Carpenter source 14
PharmaSUG 2015 Using INFILE and INPUT Statements to Introduce External Data into SAS Andrew T. Kuligowski source 18
SGF 2015 Can You Read This into SAS for Me? Using INFILE and INPUT to Load Data into SAS Peter W. Eberhardt,
Audrey Yeo		 source 20
SGF 2015 CHARACTER DATA: Acquisition, Manipulation, and Analysis Andrew T. Kuligowski,
Swati Agarwal		 source 13
SGF 2015 Inside the DATA Step: Pearls of Wisdom for the Novice SAS Programmer Joshua M. Horstman,
Britney D. Gilbert		 source 11
SGF 2015 Introduction to SAS Hash Objects Christopher W. Schacherer source 26
SGF 2015 Managing Files by Click and Drag? Jason Wachsmuth source 5
SGF 2015 Preparing Students for the Real World with SAS Studio AnnMaria De Mars source 18
SGF 2015 Some of the Most Useful SAS Functions Ronald P. Cody source 16
SGF 2015 Table Lookup Techniques: From the Basics to the Innovative Arthur L. Carpenter source 11
PHUSE EU 2014 Looking for SDTM Migration Specialist Angelo Tinazzi source
presentation source		 12
MWSUG 2014 Ignorance is Not Bliss: Pearls of Wisdom for the Novice SAS Programmer Joshua M. Horstman,
Britney D. Gilbert		 9
MWSUG 2014 Introduction to SAS Hash Objects Christopher W. Schacherer 26
MWSUG 2014 Using Arrays to Quickly Perform Fuzzy Merge Look-ups: Case Studies in Efficiency Arthur L. Carpenter 14
MWSUG 2014 Working with Character Data Andrew T. Kuligowski,
Swati Agarwal		 8
WUSS 2014 A Survey of Some of the Most Useful SAS Functions Ronald P. Cody source 16
WUSS 2014 Paperwork Without Tears: Completing Your Reporting Requirements in 10 Easy Steps AnnMaria De Mars source 17
WUSS 2014 Reassigning character variable lengths across multiple datasets for Efficiency and Consistency Srinivas Vanam,
Phaneendhar Reddy Vanam,
Mahipal Vanam		 source 7
WUSS 2014 Table Lookup Techniques: From the Basics to the Innovative Arthur L. Carpenter source 11
WUSS 2014 The SAS Hash Object in Action Paul M. Dorfman source 29
PharmaSUG 2014 Adopted Changes for SDTMIG v3.1.3 and 2013 OpenCDISC Upgrades Yi Liu,
Stephen Read		 source 17
PharmaSUG 2014 Reducing Variable Lengths for Submission Dataset Size Reduction Sandra VanPelt Nguyen source 6
PharmaSUG 2014 Table Lookup Techniques: From the Basics to the Innovative Arthur L. Carpenter source 11
SGF 2014 A Note on Type Conversions and Numeric Precision in SAS: Numeric to Character and Back Again Andrew W. Clapson source 4
SGF 2014 A Survey of Some of the Most Useful SAS Functions Ronald P. Cody source 16
SGF 2014 Direct Memory Data Management Using the APP Tools Paul M. Dorfman source 18
SGF 2014 How SAS and Teradata Dramatically Improve Data Analysis at CMS Richard Andrews source 11
SGF 2014 Working with Character Data Andrew T. Kuligowski,
Swati Agarwal		 source 8
SCSUG 2013 Introduction to SAS Hash Objects Christopher W. Schacherer source 26
SESUG 2013 PEEKing at Roadway Segments Carol A. Martell source 12
SESUG 2013 Same Data Different Attributes: Cloning Issues with Data Sets Brian K. Varney,
Experis Business		 source 8
MWSUG 2013 Same Data Different Attributes: Cloning Issues with Data Sets Brian K. Varney 8
NESUG 2013 A Survey of Some of the Most Useful SAS Functions Ronald P. Cody 16
NESUG 2013 Does the cat have your tongue? Using VNAME and CATX to get SAS to speak to you. Gayle K. Springer 4
PharmaSUG 2013 SDTM Harmonization in the Absence of CDASH - A Modularized Approach to Domain Programming Annie S. Guo source 12
PharmaSUG 2013 The SAS Data Step: Where Your Input Matters Peter W. Eberhardt source 18
NESUG 2012 A Macro to Squeeze SAS Data and Create a SAS Transport File Hany Aboutaleb 11
NESUG 2012 A Survey of Some of the Most Useful SAS Functions Ronald P. Cody 16
NESUG 2012 Some _FILE_ Magic Michael S. Zdeb 7
SCSUG 2012 The SAS Data Step: Where Your Input Matters Peter W. Eberhardt source 18
SESUG 2012 Fatal Witlessness: Appending Datasets! WARNING! This may cause truncation of data! Arunim Gupta source 7
SESUG 2012 The ADDR-PEEK-POKE Capsule: Transporting Data Within Memory and Between Memory and the PDV Paul M. Dorfman source 18
SESUG 2012 Why Does SAS Say That? What Common DATA Step and Macro Messages Are Trying to Tell You Charles E. Mullin,
Kevin Russell		 source 17
MWSUG 2012 The SAS Data Step: Where Your Input Matters Peter W. Eberhardt 18
MWSUG 2012 Using INFILE and INPUT Statements to Introduce External Data into SAS Andrew T. Kuligowski 18
WUSS 2012 SAS Programming Basics: Getting Your Data In and Understanding the Data Step Helen D. Carey source 13
WUSS 2012 The SAS Data Step: Where Your Input Matters Peter W. Eberhardt,
Lucheng Shao		 source 18
PharmaSUG 2012 Automate Validation of CDISC ADaM Variable Label Compliance Wayne (Weizhen) Zhong source 4
PharmaSUG 2012 Efficiently Trim Character Variable Lengths to Fit Data, Reduce Dataset Size Wayne (Weizhen) Zhong source 7
PharmaSUG 2012 SDTM, ADaM and define.xml with OpenCDISC Matthew J. Becker source 14
PharmaSUG 2012 The SAS Data Step: Where Your Input Matters Peter W. Eberhardt source 18
PharmaSUG 2012 Using the SAS System as a bioinformatics tool: a macro that calls the standalone Basic Local Alignment Search Tool (BLAST) setup Kevin R. Viel source 8
PharmaSUG 2012 Why Does SAS Say That? What Common DATA Step and Macro Messages Are Trying to Tell You Charles E. Mullin,
Kevin Russell		 source 17
SGF 2012 A Survey of Some of the Most Useful SAS Functions Ronald P. Cody source 16
SGF 2012 An Automatic Approach to Creating a Data Dictionary in SharePoint Using SAS Kevin Chung source 17
SGF 2012 Straight from Memory: ADDR, PEEK, POKE as SAS Programming Tools Paul M. Dorfman,
William W. Viergever		 source 18
SGF 2012 Why Does SAS Say That? What Common DATA Step and Macro Messages Are Trying to Tell You Charles E. Mullin,
Kevin Russell		 source 17
SCSUG 2011 Reading and Processing Mystery Data Sets Jimmy A. DeFoor source 13
SCSUG 2011 The Top 10 Head Scratchers: SAS Log Messages That Prompt a Call to SAS Technical Support Kim M. Wilson source 9
SESUG 2011 From Obscurity to Utility: ADDR, PEEK, POKE as DATA Step Programming Tools Paul M. Dorfman,
Lessia S. Shajenko		 source 18
WUSS 2011 An Introduction to SAS Character Functions Ronald P. Cody source 17
NESUG 2011 Character Functions: A Hands-on Workshop Jason L. Ford 12
NESUG 2011 The Top 10 Head Scratchers: SAS Log Messages That Prompt a Call to SAS Technical Support Kim M. Wilson 9
NESUG 2011 Why Programming Efficiency Should Matter to All of Us John J. Cohen 15
PharmaSUG 2011 Importing Excel 'Data' Into SAS Datasets Without Involving SAS Stephen Hunt source 7
PharmaSUG 2011 SDTM, ADaM and define.xml with OpenCDISC Matthew J. Becker,
Angela S. Ringelberg		 source 13
SGF 2011 Numeric Length in SAS: A Case Study in Decision Making Paul Gorrell source 12
SGF 2011 The Top 10 Head Scratchers: SAS Log Messages That Prompt a Call to SAS Technical Support Kim M. Wilson source 9
NESUG 2010 Black Belt Hashigana Paul M. Dorfman,
Marina Fridman		 29
NESUG 2010 Challenge! Reading Mainframe Hex Delimited Flat File Where Each Line Has Different Layout Anjan Matlapudi,
James D. Knapp		 7
NESUG 2010 Find() the power of Hash - How, Why and When to use the SAS Hash Object John Blackwell 5
NESUG 2010 How to Think Through the SAS DATA Step H. Ian Whitlock 17
NESUG 2010 Introduction to Character String Functions Jason L. Ford 12
NESUG 2010 Outsourced Data Integration Project with CDISC SDTM and ADaM Deliverables Margaret M. Coughlin,
Christine S Teng		 11
WUSS 2010 An Introduction to SAS Character Functions Ronald P. Cody source 17
PHUSE EU 2010 APPEND, EXECUTE and MACRO Jim Groeneveld source
presentation source		 7
PHUSE EU 2010 Working Efficiently with Large SAS Datasets Vishal Jain source
presentation source		 8
MWSUG 2010 Using a Few Key Elements of SAS DATA Step Code and a Couple of Procedures to Optimize the Observation Length of a Data Set Philip A. Wright 9
SESUG 2010 Evolve from a Carpenter's Apprentice to a Master Woodworker: Creating a Plan for Your Reports and Avoiding Common Pitfalls in REPORT Procedure Coding Allison McMahill Booth source 18
SGF 2010 Best Practices for a Non-English BI Deployment Sunny Li,
Holmes Niu		 source 18
SGF 2010 Black Belt Hashigana Paul M. Dorfman,
Koen Vyverman,
Victor P. Dorfman		 source 29
SGF 2010 Challenge! Reading a Mainframe Hexadecimal-Delimited Flat File in Which Each Line Has a Different Layout Anjan Matlapudi source 7
SGF 2010 Evolve from a Carpenter's Apprentice to a Master Woodworker: Creating a Plan for Your Reports and Avoiding Common Pitfalls in REPORT Procedure Coding Allison McMahill Booth source 18
SGF 2010 Purrfectly Fabulous Feline Functions Louise S. Hadden source 15
SGF 2010 Tales from the Help Desk 4: Still More Solutions for Common SAS Mistakes Bruce F. Gilsen source 8
SGF 2010 Taming the Herd: Wrangling Unruly Text Files in SAS Taylor R. Young source 9
SGF 2010 Using a Few Key Elements of SAS DATA Step Code and a Couple of Procedures to Optimize the Observation Length of a Data Set Philip A. Wright source 9
SCSUG 2009 An Introduction to SAS Character Functions (Including Some SAS 9 Functions) Ronald P. Cody 17
SESUG 2009 A Simple SAS Utility to Dynamically Create Variable Names and Recode the Associated Values Chuchun Chien,
Wafa Handley,
Barbara Felts,
Yun Mai		 source 6
SESUG 2009 From Obscurity to Utility: ADDR, PEEK, POKE as DATA Step Programming Tools Paul M. Dorfman source 21
SESUG 2009 The SAS Hash Object in Action Paul M. Dorfman source 30
MWSUG 2009 Using SAS as an Archival Repository for DB2 under z/OS (or other DBMS) Rich Morris 22
NESUG 2009 Purrfectly Fabulous Feline Functions Louise S. Hadden 12
NESUG 2009 The SAS Hash Object in Action Paul M. Dorfman,
Marina Fridman,
Koen Vyverman		 26
WUSS 2009 An Introduction to SAS Character Functions Ronald P. Cody source 17
SGF 2009 From Obscurity to Utility: ADDR, PEEK, POKE as DATA Step Programming Tools Paul M. Dorfman source 20
SGF 2009 The SAS Hash Object in Action Paul M. Dorfman,
Koen Vyverman		 source 26
SGF 2009 You Might Be a SAS Energy Hog If ... Michael A. Raithel,
Michael D. Rhoads		 source 15
WUSS 2008 An Introduction to SAS Character Functions Ronald P. Cody source 17
PHUSE EU 2008 One Macro to Convert Variableswith Formats to Character Magnus Mengelbier,
Jan Skowronski		 source 12
NESUG 2008 From Obscurity to Utility: ADDR, PEEK, POKE as DATA Step Programming Tools Paul M. Dorfman 19
NESUG 2008 Purrfectly Fabulous Feline Functions Louise S. Hadden 11
NESUG 2008 Tales from the Help Desk 4: Still More Solutions for Common SAS Mistakes Bruce F. Gilsen 8
SGF 2008 Hash Crash and Beyond Paul M. Dorfman,
Lessia S. Shajenko,
Koen Vyverman		 source 24
NESUG 2007 From Obscurity to Utility: ADDR, PEEK, POKE as DATA Step Programming Tools Lessia S. Shajenko,
Paul M. Dorfman		 20
NESUG 2007 Hash Crash and Beyond Paul M. Dorfman,
Lessia S. Shajenko		 25
NESUG 2007 Numeric Length: Concepts and Consequences Paul Gorrell 11
SESUG 2007 Data Step Hash Objects as Programming Tools Paul M. Dorfman,
Lessia S. Shajenko		 source 21
SESUG 2007 Using INFILE and INPUT Statements to Introduce External Data into the SAS System Andrew T. Kuligowski source 18
MWSUG 2007 Getting Started with the DATA Step Hash Object Jason Secosky,
Janice Bloom		 9
WUSS 2007 Adventures in Arrays Jane Stroupe source 12
WUSS 2007 An Introduction to SAS Character Functions (Including Some SAS 9 Functions) Ronald P. Cody source 17
WUSS 2007 Data Driven Annotations: An Introduction to SAS/GRAPH's Annotate Facility Arthur L. Carpenter source 17
WUSS 2007 Data Driven Annotations: An Introduction to SAS/GRAPH's Annotate Facility Arthur L. Carpenter source 17
SCSUG 2007 Adventures in Arrays Jane Stroupe 12
SCSUG 2007 Explaining Unexpected Log Messages and Output Results from DATA Step Code Debbie Buck,
Larry Stewart		 13
SCSUG 2007 Using INFILE and INPUT Statements to Introduce External Data into the SAS System Andrew T. Kuligowski 18
PNWSUG 2007 "FS-What?" A New Use for an Old SAS Component Kim Truett 6
PNWSUG 2007 Using INFILE and INPUT Statements to Introduce External Data into the SAS System Andrew T. Kuligowski 18
PharmaSUG 2007 "FS-What?" A New Use for an Old SAS Component Kim Truett 6
PharmaSUG 2007 CDISC Implementation Step by Step: A Real World Example Sy J. Truong 19
PharmaSUG 2007 Getting Started with the DATA Step Hash Object Jason Secosky,
Janice Bloom		 9
SGF 2007 An Introduction to SAS Character Functions Ronald P. Cody source 17
SGF 2007 Getting Started with the DATA Step Hash Object Jason Bloom,
Janice Secosky		 source 9
SGF 2007 How to Think Through the SAS DATA Step H. Ian Whitlock source 19
PNWSUG 2006 Getting Started with the DATA Step Hash Object Jason Secosky,
Janice Bloom		 10
SCSUG 2006 Getting Started with the DATA Step Hash Object Jason Secosky,
Janice Bloom		 10
SESUG 2006 ET06 DATALINES, Sequential Files, CSV, HTML and More - Using INFILE and INPUT Statements to Introduce External Data into the SAS System Andrew T. Kuligowski source 18
SESUG 2006 How to Implement the SAS Data Step Hash Object Bill Parman source 7
SESUG 2006 How to Think Through the SAS DATA Step H. Ian Whitlock source 20
WUSS 2006 Data Driven Annotations: An Introduction to SAS/GRAPH's Annotate Facility Arthur L. Carpenter source 17
WUSS 2006 SAS's Various Varying Variables, or 1000+ Ways to Manipulate SAS Variables Paul A. Choate source 14
WUSS 2006 Step by Step PROC CDISC and More Sy J. Truong source 19
NESUG 2006 An Introduction to SAS Character Functions Ronald P. Cody 17
NESUG 2006 DATA Step Hash Objects and How to Use Them Paul M. Dorfman,
Lessia S. Shajenko		 21
PharmaSUG 2006 CDISC Implementation, Real World Applications Sy J. Truong 26
PharmaSUG 2006 Data Driven Annotations: An Introduction to SAS/GRAPH's Annotate Facility Arthur L. Carpenter 17
PharmaSUG 2006 The Skinny on Processing Very Large Health Claims Data Sets Gopal Rajagopal,
Blue Bell		 10
SUGI 2006 An Introduction to SAS Character Functions Ronald P. Cody source 17
SUGI 2006 Data Step Hash Objects as Programming Tools Paul M. Dorfman,
Koen Vyverman		 source 21
SUGI 2006 Data-Driven Annotations: An Introduction to the SAS/GRAPH Annotate Facility Arthur L. Carpenter source 17
SUGI 2006 DATALINES, Sequential Files, CSV, HTML, and More - Using INFILE and INPUT Statements to Introduce External Data into the SAS System Andrew T. Kuligowski source 18
SUGI 2006 How to Think Through the SAS DATA Step H. Ian Whitlock source 20
SESUG 2005 DATALINES and Sequential Files and CSV and HTML and More - Using INFILE and INPUT to Introduce External Data into the SAS System Andrew T. Kuligowski source 10
SESUG 2005 SER04_05 From Obscurity to Utility APP Functions source 20
SCSUG 2005 An Introduction to SAS Character Functions (Including Some New SAS9 Functions) Ronald P. Cody 15
WUSS 2005 An Introduction to SAS Character Functions (Including Some New V9 Functions) Ronald P. Cody source 15
NESUG 2005 A SAS Programmer's Guide to Project - and Program-Level Quality Control Paul Gorrell 15
NESUG 2005 Beyond FORMAT Basics Michael S. Zdeb 20
NESUG 2005 Getting Data into SAS: INFILE and INPUT Andrew T. Kuligowski 8
PharmaSUG 2005 Automated Excel-lent Validation Janet E. Stuelpner 9
PharmaSUG 2005 Preventing Data Loss when Combining SAS Datasets John Cantrell 9
PharmaSUG 2005 What Would I Do without PROC SQL and the Macro Language? Jeffrey M. Abolafia 5
SUGI 2005 An Introduction to SAS Character Functions (Including Some New SAS9 Functions) Ronald P. Cody source 15
SUGI 2005 Data Step Hash Objects as Programming Tools Paul M. Dorfman,
Koen Vyverman		 source 21
SUGI 2005 Explaining Unexpected Log Messages and Output Results from DATA Step Code Debbie Buck - SC,
Larry Stewart		 source 13
SUGI 2005 What Would I Do without PROC SQL and the Macro Language? Jeffrey M. Abolafia source 5
NESUG 2004 Danger: MERGE Ahead! Warning: BY Variable with Multiple Lengths! Robert Virgile 6
NESUG 2004 Data Step Programming Using the Hash Objects Paul M. Dorfman,
Lessia S. Shajenko		 17
NESUG 2004 Effects of Changing the Length of Numeric Variables Formatted with best12. Jose F. Diaz 1
NESUG 2004 SYMPUT and SYMGET: Getting DATA Step variables and macro variables to share Christianna S. Williams 14
SESUG 2004 Fresh SAS Programming Tunes from Hashville Paul M. Dorfman,
Alexander A. Martchenko		 source 17
SESUG 2004 The SAS Data Step: Where Your Input Matters Peter W. Eberhardt source 17
PharmaSUG 2004 How SAS Thinks or Why the DATA Step Does What It Does Neil H. Howard 17
SUGI 2004 A-P-P Advanced Data Management Functions Peter Crawford,
Paul M. Dorfman		 source 20
SUGI 2004 Hash Component Objects: Dynamic Data Storage and Table Look-Up Paul M. Dorfman,
Koen Vyverman		 source 18
SUGI 2004 How SAS Thinks or Why the DATA Step Does What It Does Neil H. Howard source 19
SESUG 2003 Table Lookup By Direct Addressing: From V8 To V9 Paul M. Dorfman source 13
NESUG 2003 Danger: MERGE Ahead! Warning: BY Variable with Multiple Lengths! Robert Virgile 6
NESUG 2003 Quality Control With SAS Numeric Data Paul Gorrell 11
NESUG 2003 Reading External Files Using SAS Software Clinton S. Rickards 9
NESUG 2003 Table Lookup By Direct Addressing: From V8 To V9 Paul M. Dorfman 14
PharmaSUG 2003 Danger: MERGE Ahead! Warning: BY Variable with Multiple Lengths! Bob Virgile 6
PharmaSUG 2003 To Wrap up an Extremely Long Comments Variable - Take Advantage of SAS ODS Template, Listing Peter Jiang 4
SUGI 2003 Danger: MERGE Ahead! Warning: BY Variable with Multiple Lengths! Bob Virgile Danger source 6
SUGI 2003 Hashing: Generations Paul M. Dorfman,
Gregg P. Snell		 source 10
SCSUG 2002 Indexing and Comparing SAS Data Sets: How, Why, and Why Not Andrew H. Karp 5
SCSUG 2002 Summarizing and Reorganizing Data Jimmy A. DeFoor 7
NESUG 2002 Data Integration - Can It Be Automated' Jacksen Lou,
Hong Qi		 5
NESUG 2002 Numeric Data in SAS: Guidelines For Storage and Display Paul Gorrell 7
NESUG 2002 Quality Control As Data Analysis Paul Gorrell 7
SESUG 2002 DATA Step Essentials Neil H. Howard source 10
PharmaSUG 2002 Using SAS to get more out of Oracle Clinical Jim Johnson 10
SUGI 2002 DATA Step Essentials Neil H. Howard source 11
SESUG 2001 Are Strings Tying You in Knots? Deb Cassidy source 10
SCSUG 2001 Are Strings Tying You in Knots? Deb Cassidy 10
SUGI 2001 Introducing External Data to the SAS System - The Interactive Session Andrew T. Kuligowski source 10
SUGI 2001 Let's Go to School and Discover the OOH in SCL Michael A. Mace source 10
SUGI 2001 Some Added Value: Using SAS Formats for Table Look-Ups, Merges, and Data Selection David H. Pingel source 4
SCSUG 2000 PROC TRANSPOSE: Making Data Easier to Process Jimmy A. DeFoor 12
NESUG 2000 Indexing and Compressing SAS Data Sets: How, Why, and Why Not Andrew H. Karp 5
WUSS 2000 Indexing and Compressing SAS Data Sets: How, Why, and Why Not Andrew H. Karp source 5
WUSS 2000 Playing With String Data David Fickbohm source 6
MWSUG 2000 Indexing and Compressing SAS Data Sets: How, Why, and Why Not Andrew H. Karp 5
PharmaSUG 2000 How MERGE Really Works Bob Virgile 12
SUGI 2000 Indexing and Compressing SAS Data Sets: How, Why, and Why Not Andrew H. Karp source 6
SUGI 2000 Keeping Your Data in Step - Utilizing Efficiencies Michael G. Sadof source 7
SUGI 2000 Optimizing SAS Software on Windows NT: A Guide to Performance Tuning Your Applications Server Peter Parker source 6
WUSS 1999 Efficiency Techniques for SAS Software Users Kirk Paul Lafler source 6
WUSS 1999 Indexing and Compressing SAS Data Sets: How, Why, and Why Not Andrew H. Karp source 5
NESUG 1999 Dynamic Generation of SAS Data Step Programming From An Excel Data Dictionary Kathy Hardis Fraeman,
Karen G. Malley		 7
NESUG 1999 Garbage In, Garbage Out. Does It Have To Be That Way? Louise S. Hadden 5
NESUG 1999 How MERGE Really Works Bob Virgile 7
MWSUG 1999 Warehouse to Web Using a Powerful SAS Solution Inez Williams,
Carol Martin		 5
SEUGI 1999 Boosting your SAS/AF applications with the power of the WIN32 API [presentation] Martin Sjoholm source 14
SEUGI 1999 SAS/AF Software Class API documentation generator [presentation] Bart Guijt source 20
SUGI 1999 Advanced DATA Step Topics Neil H. Howard source 10
SUGI 1999 Indexing and Compressing SAS Data Sets: How, Why, and Why Not Andrew H. Karp source 5
SUGI 1999 Keeping Your Data in Step - Utilizing Efficiencies Michael G. Sadof source 7
MWSUG 1998 Working with Large Data Sets: How, Why and Why Not Andrew H. Karp 6
SCSUG 1998 An Overview of Techniques to Introduce External Data Into the SAS System Andrew T. Kuligowski 20
WUSS 1998 An Overview of Techniques to Introduce External Data Into the SAS System Andrew T. Kuligowski source 20
NESUG 1998 Indexing and Compressing Data Sets: How, Why and Why Not Andrew H. Karp 5
NESUG 1998 Simplifying Complex Character Comparisons by Using the IN Operator and the Colon (:) Operator Modifier Paul H. Grant Jr. 2
SESUG 1998 An Overview of Techniques to Introduce External Data Into the SAS System Andrew T. Kuligowski 20
PNWSUG 1998 Dressing Up Your Version 6 Objects to be Version 7 Components Glen R. Walker,
Tammy L. Gagliano		 7
SUGI 1998 A GUI for Enhanced Insight into Data in a University Setting: SAS/EIS and SAS/AF Frame to the Rescue Cecil R. Hallum,
Melinda Miller		 source 6
SUGI 1998 Introduction to the Basics - Avoiding Some Pitfalls Deb Cassidy source 8
SUGI 1998 Simplifying Complex Character Comparisons by Using the IN Operator and the Colon (:) Operator Modifier Paul H. Grant Jr. source 2
PNWSUG 1997 Use SAS/AF, SCL and MACRO to Build User-friendly Applications on UNIX Minghui Yang 8
NESUG 1997 Optimization Techniques for Processing Large Files in an OpenVMS Environment Adrien Ndikumwami 5
NESUG 1997 Simplifying Complex Character Comparisons by Using the IN Operator and the Colon (:) Operator Modifier Paul H. Grant Jr. 2
MWSUG 1997 When Graphing, Anything is Possible: Once You Know How to ANNOTATE Lori D. Griffin 6
SESUG 1997 How MERGE Really Works Bob Virgile 8
SUGI 1997 Advanced Techniques for Reading Difficult and Unusual Flat Files Kim L. Kolbe Ritzow source 9
SUGI 1997 How to Use the SAS/AF FRAME OrgChart Object Thomas A. Miron source 20
SUGI 1997 Reading and Writing Character Data Craig Dickstein,
Marge Scerbo		 source 8
NESUG 1996 Practical Approaches to the Epi Info/SAS Software Link Margaret Ann Goetz 10
NESUG 1996 Reading and Writing Character Data Craig Dickstein,
Marge Scerbo		 8
WUSS 1996 Using Dynamic Data Exchange with Microsoft Word Jodie M. Gilmore source 6
SEUGI 1996 A few quick tips concerning base SAS software John R. Whittington source 4
SUGI 1996 Advanced DATA Step Topics and Tips Neil H. Howard,
Cynthia L. Zender		 source
SUGI 1996 Reading and Writing Character Data Craig Dickstein,
Marge Scerbo		 source 8
NESUG 1995 Reading External Files Using SAS Software Clinton S. Rickards,
Michael L. Davis		 10
NESUG 1995 VSAM Files Made (Almost) Simple; SAS System Approach Mary A. McDonald 2
SUGI 1995 Are Strings Tying You in Knots? Deb Cassidy source 10
SUGI 1995 Diving into SAS Software with the SOL Procedure Kirk Paul Lafler source 6
SUGI 1995 When Graphing, Anything is Possible: Once You Know How to ANNOTATE Lori D. Griffin source 6
NESUG 1994 DATA Step Efficiency and Performance Jeffrey A. Polzin 7
NESUG 1994 Explore Common Data Processing Problems with the SQL Procedure Kirk Paul Lafler 7
NESUG 1994 Reading External Files Using SAS Software Clinton S. Rickards 9
MWSUG 1994 Are Strings Tying You in Knots? Deb Cassidy 10
SEUGI 1994 The Panel Administration System Andrew Beggs source 10
SUGI 1994 DATA Step Efficiency and Performance Jeffrey A. Polzin source 7
SUGI 1994 Downsizing a Mainframe SAS Application to UNIX: An Application Developer's Perspective Daniel M. Plath source 4
SUGI 1993 180 Terrific Ideas for Using and Learning the SAS System Helen D. Carey,
Ginger Carey		 source 6
SUGI 1993 An Introduction to Compressing Data Sets Juliana M. Ma source 5
SUGI 1993 Beyond Column Input: Advanced Techniques with the INFILE and INPUT Statements Kathy McLeod,
Nancy Mae Bonney		 source 10
SUGI 1993 Clinical Data Processing Efficiency Techniques Denis Michel source 6
SUGI 1993 Data Compression and the SAS System Philip Bardsley source 6
SUGI 1993 SAS Data Dictionary Tool Box Allan E. Williams,
Peter Dueber,
Lynette M. Browne		 source 5
SESUG 1993 Space Saving Tools: Compression in SAS 6.07 Philip Bardsley 9
NESUG 1991 Efficient Use of Numeric and Character Data Types Una Smith 9
NESUG 1991 Using SAS Character and List Functions to Extend the SAS Systems Par I. Data Step Applications Sigurd W. Hermansen 6
SUGI 1991 Analyzing a Survey: A Bunch of Tips for a Mess of Questions William G. LeBlanc source 4
SUGI 1991 Creating Course Notes from an Annotated SAS Program Karen G. Malley source 4
SUGI 1991 Efficient Use of Numeric and Character Data Types Una Smith source 8
SUGI 1991 SAS Transport Disk Files: Mainframes, PCs, and Minis Tamara Fiscehll source 6
SUGI 1991 The SAS System: Interface to DEC'"'s Common Data Dictionary Ken D. Worsham source 6
NESUG 1990 How MERGE Really Works Robert Virgile 7
SUGI 1990 Criteria for Moving a SAS Application to SYSTEM 2000 Data Management Software Carl F. Carpenter source 6
NESUG 1989 Efficient Processing of Large Datasets Howard Levine 10
NESUG 1989 Introduction to Version 6 SAS/AF and SCL Ben Steffen 7
SUGI 1988 Efficient Programming with the SAS System for Personal Computers: Save Time, Save Space Lisa Ann Horwitz,
E. Tim Thompson		 source 6
SEUGI 1987 Numeric Precision Considerations When Using the SAS System Carlo Grandi source 6
SUGI 1987 Efficiency and Performance Considerations for the SAS System under PC DOS Gordon W. Davis,
Scott C. Sweetland		 source 9
SUGI 1987 How to Use SAS Software Effectively on Large Files Juliana M. Ma source 9
SUGI 1987 The SAS Supervisor Donald J. Henderson,
Merry G. Rabb		 source 10
SEUGI 1985 Analysing the Performance of VMS with the SAS System Alan Scott source 6
SUGI 1985 MADAM: An Example of Hierarchical Data Set Management Richard L. Gimarc source 5
SUGI 1985 Optimization Techniques for SAS Applications Vernon E. Kirchman,
Kirk Paul Lafler		 source 3
SUGI 1985 Optimizing Storage of SAS Data Sets Carol A. Bogardus,
Martin J. Rosenberg		 source 4
SUGI 1985 SAS Techniques for Reading Variable Length Record Formats Andrew V. Bowden Jr. source 6
SUGI 1984 SAS Processing Techniques Tom Krysak,
David Riave		 source 6
SUGI 1983 Processing Variable Length Records Peter L. Rikard source 3
SUGI 1982 Editing and Reformatting Character Data: Two New Functions for SAS Stephen M. Beatrous source 4
SUGI 1981 Institutional Research and SAS Stephen Ahrens,
L. Robert Kuhn		 source
SUGI 1980 A Statistical Report Generator System Using SAS as Foundation Software Misa Gratton source
SUGI 1980 Status Reports Using SAS Dagnija V. Spuntelis source 5
SUGI 1978 SAS as a User Maintained Data Base System Frank J. Potter source 5
SUGI.ONE 1976 SAS/SMF Report Jim Guthrie source 15

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