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188 papers and 3 presentations; 140 titles.

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Conference × Year × Title × Authors Extras Pages
WUSS 2026 Data Step Your Workflow and Macro Your Way to Automation: Importing Thousands of Excel Reports That Aren't Datasets Richard Rivera,
Humberto Cisneros
source 16
PharmaSUG 2026 Finding Macros Called Within A Directory of SAS Programs Derek P. Morgan,
Tatiana Kazakova
source 11
PharmaSUG 2026 SAS Programming techniques for efficiency and code optimization Jayanth Iyengar source 27
PharmaSUG 2025 Route Sixty-Six to SAS Programming, or 63 (+3) Syntax Snippets for a Table Look-up Task, or How to Learn SAS by Solving Only One Exercise! Bartosz Jabłoński,
Quentin McMullen
source 58
PharmaSUG 2025 SET Statement Considered Harmful Bartosz Jabłoński source 21
MWSUG 2024 Best Practices for Efficiency and Code Optimization in SAS programming Jayanth Iyengar source 20
MWSUG 2024 Stacking Up: Horizontal or Vertical with PROC SQL or DATA Step [presentation] Charu Shankar source 59
MWSUG 2024 Using SAS To Manage And Maintain Your Data Repository [presentation] Jose Centeno source 16
WUSS 2024 Fifty Shades of SAS Programming, or 53 (+3) Syntax Snippets for a Table Look-up Task, or How to Learn SAS by Solving Only One Exercise! Bartosz Jabłoński,
Quentin McMullen
source 50
WUSS 2024 It's All About the Base-Procedures Jane Eslinger source 20
WUSS 2023 Processing Large Volumes of Communicable Disease Data: SAS Techniques from the COVID-19 Experience in San Diego County Whitney Webber,
Nathaly Moran,
Jacob Ritz,
Fatema Sakha,
Jacquelyn Ho,
Jennifer Nelson
source 10
SESUG 2023 Best Practices for Efficiency and Code Optimization in SAS programming Jayanth Iyengar source 20
SESUG 2023 SAS Program Efficiency for Beginners Bruce F. Gilsen source 15
PharmaSUG 2023 Best Practices for Efficiency and Code Optimization in SAS programming Jayanth Iyengar source 20
PharmaSUG 2023 SAS System Macros to Summarize the COMPARE Procedure Results and SAS Logs for a Directory or Single File. Kevin R. Viel source 41
SESUG 2022 Essential Programming Techniques Every SAS User Should Learn Kirk Paul Lafler source 27
WUSS 2022 Best Practices for Efficiency and Code Optimization in SAS programming Jayanth Iyengar source 21
WUSS 2022 Essential Programming Techniques Every SAS User Should Learn Kirk Paul Lafler source 27
PharmaSUG 2021 Essential Programming Techniques Every SAS User Should Learn Kirk Paul Lafler source 26
SGF 2020 Data Catalog: The Binding Governance Tool for a Successful Digital Transformation Vincent Rejany source 29
SGF 2020 SAS and Amazon Redshift: Overview of Current Capabilities Nicolas Robert source 20
SGF 2020 Tips, Traps, and Techniques in BASE SAS for vertically combining SAS data sets Jayanth Iyengar source 18
SCSUG 2019 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 6
PharmaSUG 2019 It's All About the Base-Procedures Jane Eslinger source 20
SGF 2019 It's All About the Base-Procedures Jane Eslinger source 21
SGF 2019 Tips, Traps, and Techniques in BASE SAS for vertically combining SAS data sets Jayanth Iyengar source 18
MWSUG 2018 Tips, Traps, and Techniques in BASE SAS for vertically combining SAS data sets Jayanth Iyengar 18
WUSS 2018 Essential Programming Techniques Every SAS User Should Learn Kirk Paul Lafler source 26
WUSS 2018 PROC DATASETS: The Swiss Army Knife of SAS Procedures Michael A. Raithel source 25
WUSS 2018 SAS Techniques to Handle Large Files And Reduce Execution times Kaiqing Fan source 7
WUSS 2018 Validating User-Submitted Data Files with Base SAS Michael A. Raithel source 16
SGF 2018 Validating User-Submitted Data Files with Base SAS Michael A. Raithel source 16
SESUG 2017 ETL Load performance benchmarking using different load transformations in SAS Data Integration Studio Sai S Potluri source 8
SESUG 2017 proc sql; select distinct memname, memlabel from dictionary.dictionaries; quit; Kiran Venna source 8
MWSUG 2017 The Building Blocks of SAS Datasets - S-M-U (Set, Merge, and Update) Andrew T. Kuligowski 13
SGF 2017 PROC DATASETS: The Swiss Army Knife of SAS Procedures Michael A. Raithel source 25
SESUG 2016 PROC DATASETS: The Swiss Army Knife of SAS Procedures Michael A. Raithel source 25
PHUSE EU 2016 CompareDirectory - Macro Bits and Pieces in Action Lawrence Heaton-Wright source
presentation source
7
MWSUG 2016 Accessing Teradata through SAS, common pitfalls, solutions and tips Kiran Venna 8
MWSUG 2016 Calculating Cardinality Ratio in Two Steps Ronald J. Fehd 22
SGF 2016 PROC DATASETS: The Swiss Army Knife of SAS Procedures Michael A. Raithel source 25
SGF 2016 Ten Tips to Unlock the Power of Hadoop with SAS Nancy A. Rausch,
Wilbram Hazejager
source 12
MWSUG 2015 Reading a Column into a Row to Count N-levels, Calculate Cardinality Ratio and Create Frequency and Summary Output In One Step Ronald J. Fehd 10
SESUG 2015 Applications Design and Development, a case study of the EDA Summarize-Each-Variable Suite Ronald J. Fehd source 22
WUSS 2015 S-M-U (Set, Merge, and Update) Revisited Andrew T. Kuligowski source 13
SGF 2015 S-M-U (Set, Merge, and Update) Revisited Andrew T. Kuligowski source 13
SGF 2015 Your Database Can Do SAS Too! Harry Droogendyk source 18
SESUG 2014 The Power of PROC APPEND Ted Logothetti source 7
MWSUG 2014 Using Cardinality Ratio for Fast Data Review Ronald J. Fehd 16
WUSS 2014 SAS Essentials II (or How to Train Your SAS Data Sets) Tasha Chapman source 12
WUSS 2014 Using Cardinality Ratio for Fast Data Review Ronald J. Fehd source 15
SGF 2014 Automatic and Efficient Post-Campaign Analyses By Using SAS Macro Programs Justin Jia,
Amanda Lin
source 12
SGF 2014 PD_Calibrate Macro Keld Asnæs,
Jesper Michelsen
source 2
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
SGF 2013 Getting Started with SAS Visual Analytics Administration and Deployment [presentation] Gary Mehler,
Meera Venkataramani
source 49
SGF 2013 Leveraging Big Data Using SAS High-Performance Analytics Server Priya Sharma source 9
SGF 2013 PROC DATASETS: The Swiss Army Knife of SAS Procedures Michael A. Raithel source 25
SESUG 2012 Fatal Witlessness: Appending Datasets! WARNING! This may cause truncation of data! Arunim Gupta source 7
MWSUG 2012 A Basic Recipe for Building a Campaign Management System from Scratch: How Base SAS, SQL Server and Access can Blend Together Tera Olson 7
SGF 2012 Automation of Paper-Based Medical Surveys Using the SAS BI Platform Custom Web Forms for Real-Time Analysis Ian P. Healy,
Rocket Wong
source 10
NESUG 2011 Programming Techniques for Optimizing SAS Throughput Steven M. Ruegsegger 11
PharmaSUG 2011 Smart Import/Append Data in Excel Sheets Zhengping Ma,
Liping Liu
source 8
SGF 2011 PROC COPY and PROC APPEND: A Developer's Secrets Diane Olson source 6
SGF 2011 PROC DATASETS: The Swiss Army Knife of SAS Procedures Michael A. Raithel source 25
SGF 2011 Teradata Parallel Transporter: Loading Your SAS Data Just Became Easier Jeffrey Bailey source 16
SCSUG 2010 PROC DATASETS: The Swiss Army Knife of SAS Procedures Michael A. Raithel source 25
WUSS 2010 PROC DATASETS: The Swiss Army Knife of SAS Procedures Michael A. Raithel source 25
WUSS 2010 The Building Blocks of SAS Datasets - S-M-U (Set, Merge, and Update) Andrew T. Kuligowski source 13
PHUSE EU 2010 An Animated Guide: Sending SAS file to Excel Russell M. Lavery source
presentation source
13
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
SESUG 2010 How to Monitor "Don't Know" and "Refusal" Non-responses in a Large National Survey - Using Simple SAS Macros, a Few PROCs, and Data Steps Mariah Mantsun Cheng,
Timothy Monbureau
source 10
SGF 2010 A Grad Student 'How-To' Paper on Grant Preparation: Preliminary Data, Power Analysis, and Presentation Elisa L. Priest,
Derek Blankenship
source 14
SGF 2010 Look What's New in SAS/ACCESS: New Engines and SQL Optimization Howard Plemmons Jr. source 16
SGF 2010 PROC DATASETS: The Swiss Army Knife of SAS Procedures Michael A. Raithel source 25
SGF 2010 Using the External Filename to Create File Date Variables Peter Cerussi source 11
NESUG 2009 The Building Blocks of SAS Datasets - S-M-U (Set, Merge, and Update) Andrew T. Kuligowski 13
WUSS 2009 Capturing and Presenting PROC TTEST Results Using ODS and PROC REPORT Patrick Thornton source 7
WUSS 2009 Don't Be Loopy: Re-Sampling and Simulation the SAS Way David L. Cassell source 18
PharmaSUG 2009 Don't Be Loopy: Re-Sampling and Simulation the SAS Way David L. Cassell 18
SGF 2009 How to Leverage Oracle Bulk-load for Performance Jun Cai source 10
SGF 2009 You Might Be a SAS Energy Hog If ... Michael A. Raithel,
Michael D. Rhoads
source 15
WUSS 2008 SmryEachVar: A Data-Review Routine for All Data Sets in a Libref Ronald J. Fehd source 25
PharmaSUG 2008 SmryEachVar: A Data-Review Routine for All Data Sets in a Libref Ronald J. Fehd 24
PharmaSUG 2008 When PROC APPEND May Make More Sense Than the DATA Step David W. Carr 6
SGF 2008 Adventures in ODS: Producing Customized Reports Using Output from Multiple SAS Procedures Stuart D. Long,
Jeffrey M. Abolafia,
Lawrence Park
source 23
SGF 2008 Data Integration with SAS Intelligence Storage: How a business Division in a Fortune 50 Company Uses SAS Scalable Performance Data Server to Make Better Decisions Stephen C. Scott,
Brian Herzog,
Justin Eisenzimmer
source 23
SGF 2008 SmryEachVar: A Data-Review Routine for All Data Sets in a Libref Ronald J. Fehd source 24
SGF 2008 Stupid Human Tricks with PROC SURVEYSELECT David L. Cassell source 5
SGF 2008 When PROC APPEND May Make More Sense Than the DATA Step David W. Carr source 6
NESUG 2007 FreqLibname: A Data Review Routine For All Memnames in a Libname Ronald J. Fehd 22
NESUG 2007 Using SAS ODS to Extract and Merge Statistics from Multiple SAS Procedures into a Single Summary Report, a Detailed Methodology Stuart D. Long,
Jeffrey M. Abolafia,
Lawrence Park
22
MWSUG 2007 FreqLibname: A Data Review Routine For All Memnames in a Libname Ronald J. Fehd 22
WUSS 2007 Don't Be Loopy: Re-Sampling and Simulation the SAS Way David L. Cassell source 18
PNWSUG 2007 Don't Be Loopy: Re-Sampling and Simulation the SAS Way David L. Cassell 18
PharmaSUG 2007 Journeymen's Tools: Data Review Macro FreqAll: Using Proc SQL List Processing with Dictionary.Columns to Eliminate Macro Do Loops Ronald J. Fehd 10
SGF 2007 Don't Be Loopy: Re-Sampling and Simulation the SAS Way David L. Cassell source 18
SGF 2007 Journeymen's Tools: Data Review Macro FreqAll: Using Proc SQL List Processing with Dictionary.Columns to Eliminate Macro Do Loops Ronald J. Fehd source 10
SGF 2007 Super Size It!!! Maximize the Performance of Your ETL Processes Nancy A. Rausch,
Nancy J. Wills
source 14
SGF 2007 Talking to Your RDBMS Using SAS/ACCESS Dianne Louise Rhodes source 15
PNWSUG 2006 Journeymen's Tools: Data Review Macro FreqAll: Using Proc SQL List Processing with Dictionery.Columns to Eliminate Macro Do Loops Ronald J. Fehd 10
MWSUG 2006 Journeymen's Tools: Data Review Macro FreqAll: Using Proc SQL List Processing with Dictionary.Columns to Eliminate Macro Do Loops Ronald J. Fehd 12
SESUG 2006 Journeymen's Tools: Data Review Macro FreqAll: Using Proc SQL List Processing with Dictionary.Columns to Eliminate Macro Do Loops Ronald J. Fehd source 9
SESUG 2006 Using SAS ODS to Extract and Merge Statistics from Multiple SAS Procedures into a Single Summary Report, a Detailed Methodology Stuart D. Long source 21
WUSS 2006 How to Leverage Oracle Bulk-load for Performance Jun Cai source 10
NESUG 2006 An Introduction to Reshaping (TRANSPOSE) and Combining (MATCH-MERGE) SAS Data Sets Michael S. Zdeb 15
NESUG 2006 Journeymen's Tools: Data Review Macro FreqAll: Using Proc SQL List Processing with Dictionary.Columns to Eliminate Macro Do Loops Ronald J. Fehd 9
PharmaSUG 2006 The Skinny on Processing Very Large Health Claims Data Sets Gopal Rajagopal,
Blue Bell
10
SUGI 2006 CEDA - The Invisible Hand Bruce F. Gilsen source 10
SUGI 2006 Using SAS ODS to Extract and Merge Statistics from Multiple SAS Procedures Stuart D. Long,
Jeffrey M. Abolafia,
Lawrence Park
source 21
SCSUG 2005 Frequently Asked Questions about SAS Indexes Billy Clifford 11
WUSS 2005 Illustrating Concatenation Operations with PROC APPEND Kirk Paul Lafler source 2
NESUG 2005 CEDA - The Invisible Hand Bruce F. Gilsen 10
SUGI 2005 Frequently Asked Questions about SAS Indexes Billy Clifford source 11
SCSUG 2004 Scalable Access to SAS Data Billy Clifford 7
SESUG 2004 How to Incorporate Old SAS Data into a New DATA Step, or "What is S-M-U?" Andrew T. Kuligowski source 13
SESUG 2004 Methods of Storing SAS Data into Oracle Tables Lois Levin source 9
SUGI 2004 How to Incorporate Old SAS Data into a New DATA Step, or "What is S-M-U?" Andrew T. Kuligowski source 14
SUGI 2004 Improving Peformance: Accessing DB2 Data with SAS 9 Scott Fadden source 17
SUGI 2004 Methods of Storing SAS Data into Oracle Tables Lois Levin source 10
NESUG 2003 Methods of Storing SAS Data into Oracle Tables Lois Levin 10
NESUG 2003 Tips for Manipulating Data Marge Scerbo 10
SUGI 2003 Space Odyssey: Concatenate Zip Files into One Master File Ying Long source 2
SUGI 2003 Tips for Manipulating Data Marge Scerbo source 10
MWSUG 2002 Advanced Macros Destiny Corporation (a company) 9
NESUG 2002 Advanced SAS Macro Language Techniques Destiny Corporation (a company) 5
NESUG 2002 Tips for Manipulating Data Marge Scerbo 10
SESUG 2002 Advanced Macros Destiny Corporation (a company) source 9
SESUG 2002 Data Verification and Consolidation of Files with Dynamic Code Generation Using SAS Macro, Data Step Programming and System Utilities Bill Pierce,
Falls Church
source 4
WUSS 2002 The Data Cruncher in a Windows NT Environment: Migrating Production V6 to V8 Steven Goins source 4
SEUGI 2002 Evaluating SPDS to Improve Performance of a Large Data Warehouse Clare Somerville,
Colin J. Harris
source 14
SUGI 2002 Can't Relate? A Primer on Using SAS with Your Relational Database Garth W. Helf source 10
SUGI 2002 Tips for Manipulating Data Marge Scerbo source 9
NESUG 2001 Recursion? SAS? Let.s Fake It! Stephen J. Rhoades 6
NESUG 2001 SAS Program Efficiency for Beginners Bruce F. Gilsen 10
VIEWS 2001 Methods Of Building an Enterprise Layer to Help Data Exploitation and Delivery Andrew Wilcox 23
WUSS 2001 Advanced Macro Processing Destiny Corporation (a company) source 9
WUSS 2001 Automatically Creating a Summary Table from Multiple Outcomes by a SAS Program Han Wu,
Ying Chen
source 3
PharmaSUG 2001 Nonlinear Least Squares Analysis of HIV Viral Load Data - Aids in Parameter Estimation Peter P. Gaccione 8
SCSUG 2000 Advanced Macro Processing Destiny Corporation (a company) 9
NESUG 2000 SAS Program Efficiency for Beginners Bruce F. Gilsen 10
WUSS 2000 Power Indexing: A Guide to Using Indexes Effectively in Nashville Releases Diane Olson source 5
MWSUG 2000 Power Indexing: A Guide to Using Indexes Effectively in Nashville Releases Diane Olson 5
SEUGI 2000 Moving to SAS Version 8 with Oracle Clare Somerville,
Colin J. Harris
source 8
PharmaSUG 2000 Efficient SAS Quality Checks: Unique Error Identification And Enhanced Data Management Analysis Jim Grudzinski 6
SUGI 2000 Power Indexing: A Guide to Using Indexes Effectively in Nashville Releases Diane Olson source 5
SCSUG 1999 Advanced Macro Processing Destiny Corporation (a company) 9
NESUG 1999 How Should I Combine My Data, Is The Question Stephen Thompson,
Asha Sharma
6
NESUG 1999 SAS Program Efficiency for Beginners Bruce F. Gilsen 10
SUGI 1999 Outta Space with SAS Software? Philip R. Holland source 5
SUGI 1999 SAS Program Efficiency for Beginners Bruce F. Gilsen source 9
SCSUG 1998 Advanced Macros Destiny Corporation (a company) 9
SCSUG 1998 Sometimes You get What You Want: SAS I/O Enhancements for Version 7 Steve Beatrous,
Billy Clifford
9
NESUG 1998 SAS Program Efficiency for Beginners Bruce F. Gilsen 10
PNWSUG 1998 Advanced Macros Dana Rafiee 9
SEUGI 1998 An overview of SAS Software SPDS Jochen Kirsten source 24
SUGI 1998 Optimizing SAS Access to an Oracle Database in a Large Data Warehouse Clare Somerville,
Clive Cooper
source 10
SUGI 1998 SAS Program Efficiency for Beginners Bruce F. Gilsen source 9
SUGI 1998 Sometimes You Get What You W ant: SAS I/O Enhancements in Version 7 Steve Beatrous,
Billy Clifford
source 9
NESUG 1997 Retrieving Weather Data from the Internet and Analyzing Using the SAS System Richard D. Langston 5
NESUG 1997 SAS Program Efficiency for Beginners Bruce F. Gilsen 9
NESUG 1997 Tips and Techniques for Processing Complex Databases: An Example With Health Care Claims Files Linda Nelsen 8
SEUGI 1997 SPDS - The Scalable Performance Data Server Thomas Becker source 49
SUGI 1997 Implementing Balanced Replicated Subsampling Designs in SAS Software Roland K. Hawkes source 6
SUGI 1997 SAS Program Efficiency for Beginners Bruce F. Gilsen source 10
SCSUG 1996 Porting Data Collected With Custom Internet Forms to SAS Robert S. Workman,
David Workman
11
SESUG 1996 A Relational Database Primer for SAS Programmers Paul Dalberth 8
SUGI 1996 A Relational Database Primer tor SAS Programmers Paul Dalberth source 8
SUGI 1996 SAS Program Efficiency for Beginners Bruce F. Gilsen source 10
NESUG 1995 Developing an SCL End-User Automation System Michael B. Moll,
Alan W. Bradt,
Angie Lymberg
6
NESUG 1995 SAS Program Efficiency for Beginners Bruce F. Gilsen 11
NESUG 1995 Using Base SAS Efficiently Bill MacHose 7
WUSS 1995 Tips and Techniques for Data Fixes in a Repository Data Warehouse Ty Lee source 6
SUGI 1994 Processing Large SAS and DB2 Files: Close Encounters of the Colossal Kind Judy Loren,
Alan Dickson
source 8
SEUGI 1993 Techniques for Combining SAS Data Sets Tor Bengtsson source 11
SESUG 1993 SAS/ACCESS Techniques for Large DB2 Databases Craig James Gavin 7
SCSUG 1991 Tips, Tricks and Traps, Part 1 Neil H. Howard 6
SUGI 1991 Efficiency Techniques for Improving I/O and Processing Time in the DATA Step Neil H. Howard source 6
SEUGI 1990 Using Relational Databases (ORACLE and RD) Together with the SAS System on VMS Thomas J. R. Emmerich source 5
SUGI 1990 Converting SAS/DB2 Applications from Version 5 to Version 6 Bradley W. Klenz source 5
SUGI 1990 Using Relational Database Technology and the SAS System to Develop SAS' System Applications under the VMS "Operating System Jean Moorefield source 7
NESUG 1989 Efficiency Techniques for Improving I/O and Processing Time in the DATA Step Neil H. Howard 6
SEUGI 1989 Creating Your Own SAS Fonts Claus Jensen source 6
SUGI 1989 Efficiency Techniques for Improving I/O and Processing Time in the DATA Step Neil H. Howard source 6
SUGI 1989 Making SAS/SHARE Software Bend Over Backwards Or Converting From A Single to a Multi-user System Alesia Frerichs,
Ria Murakeozy
source 3
NESUG 1988 Efficiency Techniques for Improving I/O and Processing Time in the DATA Step Neil H. Howard 14
SUGI 1988 Cutting Costs in the DATA Step: Efficiency Techniques for Improving I/O and Processing Time Neil H. Howard source 6
SUGI 1986 A SAS/FSP Software and CLIST System for Easy Management of a Macroinvertebrate Reference Collection Todd C. Folsom source 5
SUGI 1985 Optimization Techniques for SAS Applications Vernon E. Kirchman,
Kirk Paul Lafler
source 3
SUGI 1984 Managing a Data=Base of Permanent SAS Data Sets Joshua Sharlin source 9

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