| 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 |