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240 papers and 4 presentations; 187 titles.

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Conference × Year × Title × Authors Extras Pages
PharmaSUG 2026 SAS Programming techniques for efficiency and code optimization Jayanth Iyengar source 27
MWSUG 2025 Under the Hood: The Mechanics of SQL Query Optimization Techniques Kirk Paul Lafler source 8
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
MWSUG 2024 Bessler's Principles of Communication-Effective Data Visualization [presentation] LeRoy Bessler source 125
MWSUG 2024 Best Practices for Efficiency and Code Optimization in SAS programming Jayanth Iyengar source 20
MWSUG 2024 Confessions of a PROC SQL Instructor [presentation] Charu Shankar source 77
MWSUG 2024 The Everytown Research database: Using SAS analytic procedures to analyze mass shootings Jayanth Iyengar source 31
SESUG 2024 Introduction to Character Strings Jason L. Ford source 23
SESUG 2024 SAS and Analytical Research: A Primer for Qualitative Analysis Kelly D. Smith source 8
SESUG 2024 Unanticipated Results: Uncovering Five Unexpected Outcomes in PROC SQL Joins Kiran Venna source 15
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 The Everytown Research database: Using SAS analytic procedures to analyze mass shootings Jayanth Iyengar source 31
PharmaSUG 2024 If its not broke, don't fix it; existing code and the programmers' dilemma Jayanth Iyengar source 16
SESUG 2023 Best Practices for Efficiency and Code Optimization in SAS programming Jayanth Iyengar source 20
SESUG 2023 The Everytown Research database: Using SAS analytic procedures to analyze mass shootings Jayanth Iyengar source 31
SESUG 2023 Wildcarding in WHERE Clauses David B. Horvath source 7
PharmaSUG 2023 Best Practices for Efficiency and Code Optimization in SAS programming Jayanth Iyengar source 20
SESUG 2022 Learning Fun(damental) Character String Cleaning and Parsing Methods in SAS! William Zachary Smith source 7
WUSS 2022 Best Practices for Efficiency and Code Optimization in SAS programming Jayanth Iyengar source 21
WUSS 2022 If its not broke, don't fix it; existing code and the programmers' dilemma Jayanth Iyengar source 16
WUSS 2022 Putting the Meta into the Data: Managing Data Processing for a Large Scale CDC Surveillance Project with SAS Louise S. Hadden source 18
PharmaSUG 2022 Look Up Not Down: Advanced Table Lookups in Base SAS Jayanth Iyengar,
Joshua M. Horstman		 source 28
SESUG 2021 Management of Metadata and Documentation When Your Data Base Structure is Fluid: What to do if Your Data Dictionary has a Varying Number of Variables Louise S. Hadden source 12
SESUG 2021 Under the Hood: The Mechanics of SQL Query Optimization Techniques Kirk Paul Lafler source 9
PharmaSUG 2021 Under the Hood: The Mechanics of Various SQL Query Optimization Techniques Kirk Paul Lafler source 9
PharmaSUG 2021 Wildcarding in WHERE Clauses David B. Horvath source 7
SGF 2021 Quick, Call the "FUZZ": Using Fuzzy Logic Richann J. Watson,
Louise S. Hadden		 source 30
SESUG 2020 Look Up Not Down: Advanced Table Lookups in Base SAS Jayanth Iyengar,
Joshua M. Horstman		 source 28
SESUG 2020 Wildcarding in WHERE Clauses David B. Horvath source 7
SGF 2020 Step-by-Step SQL Procedure Charu Shankar source 17
PharmaSUG 2020 Quick, Call the "FUZZ": Using Fuzzy Logic Richann J. Watson,
Louise S. Hadden		 source 30
SESUG 2019 Quick, Call the "FUZZ": Using Fuzzy Logic Richann J. Watson source 30
MWSUG 2019 Exploring Wine Reviews: How Language and Word Use Varies in Wine Reviews Abigail Zysk,
Kylie Springer		 8
MWSUG 2019 Look Up Not Down: Advanced Table Lookups in Base SAS Jayanth Iyengar,
Joshua M. Horstman		 24
MWSUG 2019 Quick, Call the "FUZZ": Using Fuzzy Logic Richann J. Watson,
Louise S. Hadden		 30
WUSS 2019 PARSING: Using SAS When the Data Are Hiding in a Non-Standard Format Andrew T. Kuligowski source 16
PharmaSUG 2019 Unleash the Power of Less Well Known but Useful SAS DATA Step Functions Timothy J. Harrington source 22
SGF 2019 Simple Techniques to Improve the Performance of your SAS Programs When Processing Large Data Sets Steve Cavill source 20
SGF 2019 Standardizing Text in your Data Guihong Chen source 8
PHUSE US 2019 Perl Functions in SAS: Perl Functions Can Add Pearl in Your Code Kamleshkumar Patel,
Jigar Patel		 source
presentation source		 8
PHUSE US 2019 R and Python Differences, Techniques and Challenges for SAS Programmers Murali Neela source
presentation source		 20
PHUSE EU 2018 Time Management: Programming Techniques to Positively Impact Runtimes Ian Sanderson source
presentation source		 9
WUSS 2018 Defensive programming techniques for ongoing clinical studies Bharath Donthi,
Lingjiao Qi		 source 8
WUSS 2018 Using a lookup table to transform electronic laboratory results into standardized case-specific information to manage a record-breaking flu season Rachel Perry,
Laura Erhart,
Shane Brady		 source 10
SGF 2018 Macro Method to use Google Maps and SAS to Geocode a Location by Name or Address Laurie Smith source 8
SESUG 2017 Joining Data: Data Step Merge or SQL? Harry Droogendyk source 19
SCSUG 2017 Don't Fear The Network: Beat A Slow Network With Data Content Maps Michael McCarthy source 12
SCSUG 2017 Pruning the SASLOG - Digging into the Roots of NOTEs, WARNINGs, and ERRORs Andrew T. Kuligowski source 10
MWSUG 2017 Arbovirus, Varicella and More: Using SAS for Reconciliation of Disease Counts Misty Johnson 8
MWSUG 2017 Parsing Useful Data Out of Unusual Formats Using SAS Andrew T. Kuligowski 15
SGF 2017 Improving the Evaluation of Higher Education: Understanding the Myths, Methods, and Metrics Sean W. Mulvenon source 12
SGF 2017 Quickish Performance Techniques for Biggish Data Nick Welke,
Patricia S. Aanderud		 source 11
SCSUG 2016 Parsing Useful Data Out of Unusual Formats Using SAS Andrew T. Kuligowski source 15
PHUSE EU 2016 Perish the Sort: Using Indexes and Hash Objects for Efficient Programming Jason Smith source
presentation source		 8
PharmaSUG 2016 SAS Techniques for Managing Large Datasets Rucha Landge source 7
SGF 2016 FASHION, STYLE "GOTTA HAVE IT" COMPUTE DEFINE BLOCK Christopher J. Boniface source 6
MWSUG 2015 Pruning the SASLOG - Digging into the Roots of NOTEs, WARNINGs, and ERRORs Andrew T. Kuligowski 10
MWSUG 2015 Table Lookup Techniques: From the Basics to the Innovative Arthur L. Carpenter 11
PharmaSUG 2015 Sorting big datasets. Do we really need it? Daniil Shliakhov source 6
SGF 2015 Data Management Techniques for Complex Healthcare Data Gabriela Cantu,
Christopher Klekar		 source 14
SGF 2015 DATU - Data Automated Transfer Utility: A Program to Migrate Files from Mainframe to Windows Jim Brittain,
Robert Schwartz		 source 8
SGF 2015 Preparing Students for the Real World with SAS Studio AnnMaria De Mars source 18
SGF 2015 Table Lookup Techniques: From the Basics to the Innovative Arthur L. Carpenter source 11
SESUG 2014 Simple Rules to Remember When Working with Indexes Simple Rules source 5
SESUG 2014 This is the Modern World: Simple, Overlooked SAS Enhancements Bruce F. Gilsen source 15
MWSUG 2014 An Introduction to the Mighty DATASETS Procedure Ben Cochran 6
WUSS 2014 Paperwork Without Tears: Completing Your Reporting Requirements in 10 Easy Steps AnnMaria De Mars source 17
WUSS 2014 SAS DICTIONARY: Step by Step Patrick Thornton source 22
WUSS 2014 Table Lookup Techniques: From the Basics to the Innovative Arthur L. Carpenter source 11
PharmaSUG 2014 Indexing: A powerful technique for improving efficiency Arun Raj Vidhyadharan,
Sunil Mohan Jairath		 source 9
PharmaSUG 2014 Need for Speed in Large Datasets - The Trio of SAS INDICES, PROC SQL and WHERE CLAUSE is the Answer Kunal Agnihotri source 7
PharmaSUG 2014 SCAN and FIND "CALL SCAN" Usha Kumar source 4
PharmaSUG 2014 Table Lookup Techniques: From the Basics to the Innovative Arthur L. Carpenter source 11
SESUG 2013 The BEST. Message in the SASLOG Andrew T. Kuligowski source 4
MWSUG 2013 Fast Access Tricks for Large Sorted SAS Files Russell M. Lavery 12
NESUG 2013 Raw Deal: Dealing With Unpredictable Record Length and Content When Importing Raw Text Data Daniel R. Bretheim 14
NESUG 2013 Using SAS Metadata as a Key Performance Indicator! Vincent J. Amoruccio 11
PharmaSUG 2013 Get in line! How to make your data alignment easy! Ying (Evelyn) Guo source 4
SGF 2013 Internationalization 101: Give Some International Flavor to Your SAS Applications Mickael Bouedo,
Steve Beatrous		 source 21
SGF 2013 SAS Data Management Techniques: Cleaning and Transforming Data for Delivery of Analytic Data Sets Christopher W. Schacherer source 38
SGF 2013 This is the Modern World: Simple, Overlooked SAS Enhancements Bruce F. Gilsen source 12
NESUG 2012 Condensed and Sparse Indexes for Sorted SAS Datasets Mark Keintz 16
NESUG 2012 Seek and Ye Shall FINDC: A Powerful Function for Qualitative Data Validation Xiaoke Yang,
Peter C. Landi		 7
SCSUG 2012 SAS Data Management Techniques: Cleaning and Transforming Data for Delivery of Analytic Data Sets Christopher W. Schacherer source 38
MWSUG 2012 Parsing Useful Data Out of Unusual Formats Using SAS Andrew T. Kuligowski 15
MWSUG 2012 SAS Data Management Techniques: Cleaning and Transforming Data for Delivery of Analytic Data Sets Christopher W. Schacherer 38
MWSUG 2012 Simple Rules to Remember When Working with Indexes Kirk Paul Lafler 5
MWSUG 2012 The BEST. Message in the SASLOG Andrew T. Kuligowski 4
MWSUG 2012 Understanding SAS Index Pramod R 6
WUSS 2012 Composite Indices for Health Outcomes in Epidemiologic Studies: Multi-dimensional Coding Using SAS Nadia Chung,
Huiyan Ma,
Jenna Voutsinas,
Leslie Bernstein,
Sophia Wang,
James Lacey		 source 7
SGF 2012 Write Once, Run Anywhere! How to Make Your SAS Application Speak Many Languages Mickael Bouedo source 17
SESUG 2011 Condensed and Sparse Indexes for Sorted SAS Datasets Mark Keintz source 16
WUSS 2011 Principal Component Regression as a Countermeasure against Collinearity Chong Ho Yu source 7
PHUSE EU 2011 Considerations for improving program performance Martin Gregory source 7
MWSUG 2011 Simple Rules to Remember When Working with Indexes Kirk Paul Lafler 5
NESUG 2011 Character Functions: A Hands-on Workshop Jason L. Ford 12
PharmaSUG 2011 Perl Regular Expressions: Out of the Oyster, Into Your Code Eric Larson source 7
SGF 2011 SAS DICTIONARY: Step by Step Patrick Thornton source 22
SGF 2011 Search Phrases with Arrays and Macros: Public Health Death Surveillance Amy E. Prestanski,
Liva Nohre		 source 9
SGF 2011 Turn Web Source Code into SAS Data in Two Easy Steps Ryan Massa-McKinley source 4
SGF 2011 Using Hash Tables to Obtain Matched Post-Hoc Control Populations Jeffrey Reiss,
Elayne Reiss		 source 7
NESUG 2010 Condensed and Sparse Indexes for Sorted SAS Datasets Mark Keintz 16
NESUG 2010 Introduction to Character String Functions Jason L. Ford 12
SCSUG 2010 A SAS Primer for Health Care Data Analysts Christopher W. Schacherer source 24
SCSUG 2010 Get it Done Faster with Proc Datasets Linda J. Adams source 7
SCSUG 2010 Simple Rules to Remember When Working with Indexes Kirk Paul Lafler source 5
WUSS 2010 Simple Rules to Remember When Working with Indexes Kirk Paul Lafler source 5
WUSS 2010 Tips for Constructing a Data Warehouse Part 2 Curtis A. Smith source 11
MWSUG 2010 A SAS Primer for Health Care Data Analysts Christopher W. Schacherer,
Brent D. Westra		 24
MWSUG 2010 Stuff We All Do: Mistakes We've Made That You Won't Have To Joe Novotny,
Michael P.D. Bramley		 13
MWSUG 2010 Understanding WHERE Clause Processing and Indexes Kirk Paul Lafler 5
SESUG 2010 Fun With Functions Yogini Thakkar source 10
SGF 2010 Simple Rules to Remember When Working with Indexes Kirk Paul Lafler source 5
MWSUG 2009 An Example of Website "Screen Scraping" Eric Lewerenz 8
NESUG 2009 Parsing Useful Data Out of Unusual Formats Using SAS Andrew T. Kuligowski 15
NESUG 2009 Searching for Variable Values with CAT Functions: An Alternative to Arrays and Loops Michael S. Zdeb 9
SGF 2009 A Faster Index for Sorted SAS Datasets Mark Keintz source 9
WUSS 2008 Building Effective SAS Indexes using Short and Distinct Keys, Covered Queries and Clustered Indexes Kirk Paul Lafler source 8
WUSS 2008 SAS DICTIONARY: Step by Step Patrick Thornton source 20
SESUG 2008 Using SAS to Parse External Data Andrew T. Kuligowski source 14
SESUG 2008 Utilizing Hash Tables to Obtain Matched Post-Hoc Control Populations Elayne Reiss,
Jeffrey Reiss		 source 9
NESUG 2008 A Faster Index for Sorted SAS Datasets Mark Keintz 11
PharmaSUG 2008 A Hands-on Tour Inside the World of PROC SQL Kirk Paul Lafler 18
SGF 2008 Joining Data: Data Step Merge or SQL? Faisal Dosani,
Harry Droogendyk		 source 19
SGF 2008 Understanding WHERE Clause Processing and Indexes Kirk Paul Lafler source 4
NESUG 2007 A Hands-on Tour Inside the World of PROC SQL Kirk Paul Lafler 18
NESUG 2007 Outperforming SAS Indices for Sorted Datasets Mark Keintz,
Shuguang Zhang		 8
NESUG 2007 SAS Indexes: Faster Processing of Large Categorical Databases Like BRFSS Prashant Mittal 8
MWSUG 2007 Simple Rules to Remember When Working with Indexes Kirk Paul Lafler 5
WUSS 2007 A Hands-on Tour Inside the World of PROC SQL Kirk Paul Lafler source 13
WUSS 2007 SAS DICTIONARY: Step by Step Patrick Thornton source 20
PHUSE EU 2007 SAS Indexes: Benefits, Limits and Applications Carole Beaugendre source 5
SCSUG 2007 PROC SQL for New Users Kirk Paul Lafler 13
PNWSUG 2007 A Hands-on Tour Inside the World of PROC SQL Kirk Paul Lafler 13
SGF 2007 A Hands-on Tour Inside the World of PROC SQL Kirk Paul Lafler,
Ben Cochran		 source 13
SGF 2007 Simple Rules to Remember When Working with Indexes Kirk Paul Lafler source 5
SGF 2007 Using the DATASETS Procedure - Part II David Fickbohm source 10
MWSUG 2006 Pruning the SASLOG - Digging into the Roots of NOTEs, WARNINGs, and ERRORs Andrew T. Kuligowski 10
SCSUG 2006 Pruning the SASLOG - Digging into the Roots of NOTEs, WARNINGs, and ERRORs Andrew T. Kuligowski 10
SCSUG 2006 Understanding WHERE Clause Processing and Indexes Kirk Paul Lafler 4
SESUG 2006 The BEST. Message in the SASLOG Andrew T. Kuligowski source 4
WUSS 2006 A Hands-on Tour Inside the World of PROC SQL Kirk Paul Lafler source 11
WUSS 2006 Simple Rules to Know When Working With Indexes Kirk Paul Lafler source 4
NESUG 2006 Need a Speedy Index? RAM It! Lessia S. Shajenko,
Paul M. Dorfman		 14
NESUG 2006 Performance Boosters: Streamlining Report Production from Days to Hours Jim Fang,
Patrick Dunleavy,
Vinod Narayanan,
Anuj Sharma		 9
PharmaSUG 2006 Managing Clinical Trials Data using SAS Software Martin J. Rosenberg 7
SUGI 2006 A Hands-on Tour Inside the World of PROC SQL Kirk Paul Lafler source 11
SUGI 2006 Crafting Your Own Index: Why, When, How Paul M. Dorfman,
Lessia S. Shajenko		 source 14
SUGI 2006 SAS9 Migration: How to Develop an Automated Process Using Perl Xiaoming Liang source 4
SUGI 2006 Think FAST! Use Memory Tables (Hashing) for Faster Merging Gregg P. Snell source 15
SESUG 2005 Pruning the SASLOG - Digging into the Roots of NOTEs, WARNINGs, and ERRORs Andrew T. Kuligowski source 10
SESUG 2005 The SQL Optimizer Project: _Method and _Tree in SAS 9.1 Russell M. Lavery source 57
SCSUG 2005 Frequently Asked Questions about SAS Indexes Billy Clifford 11
PHUSE EU 2005 Managing Clinical Trials Data using SAS Martin J. Rosenberg source 7
WUSS 2005 A Hands-On Tour of the 5 Most Exciting Features Found in PROC SQL Kirk Paul Lafler source 10
WUSS 2005 Understanding WHERE Clause Processing and Indexes Kirk Paul Lafler source 4
NESUG 2005 Crafting Your Own Index: Why, When, How Paul M. Dorfman,
Lessia S. Shajenko		 10
PharmaSUG 2005 Understanding WHERE Clause Processing and Indexes Kirk Paul Lafler 4
SUGI 2005 A Clever Demonstration of the SAS SUBSTR Function David J. Austin source 7
SUGI 2005 Frequently Asked Questions about SAS Indexes Billy Clifford source 11
SUGI 2005 The Basics of Using SAS Indexes Michael A. Raithel source 9
SUGI 2005 The SQL Optimizer Project: _Method and _Tree in SAS 9.1 (broken file) Russell M. Lavery source 57
SUGI 2005 Using SAS to Detect Errors in X12-Arima Seasonal Adjustment Nicole D. Brooks source 3
NESUG 2004 Effectively Using the Indices in an Oracle Database Kenneth W. Borowiak 7
SESUG 2004 Creating and Exploiting SAS Indexes Michael A. Raithel source 9
PNWSUG 2004 Pruning the SASLOG - Digging into the Roots of NOTEs, WARNINGs, and ERRORs Andrew T. Kuligowski 11
SUGI 2004 Creating and Exploiting SAS Indexes Michael A. Raithel source 10
WUSS 2003 Building The World'S First Antibiotic Datamart Berwick Chan,
Catherine Kehr,
Arnold Yee		 source 6
WUSS 2003 Quantifying Stock Market Overreactions Dan Shaw source 3
SCSUG 2003 Pruning the SASLOG - Digging into the Roots of NOTEs, WARNINGs, and ERRORs Andrew T. Kuligowski 11
SESUG 2003 Machine Reading of Warranty Claims for Classification Robert McCurdy,
Mack Trucks		 source 3
SESUG 2003 Pruning the SASLOG - Digging into the Roots of NOTEs, WARNINGs, and ERRORs Andrew T. Kuligowski source 10
NESUG 2002 Using SAS Indexes with Large Databases Alexander Vinokurov,
Larry Helbers		 4
NESUG 2002 Version 9 Changes & Enhancements Destiny Corporation (a company) 18
WUSS 2002 The Schizophrenic Index Michelle Nipko,
Joseph Nipko		 source 4
WUSS 2001 How Paul Bunyan Cleared the Log Jam: Creating a Useful Table from Information within Log Files Beth Worrall source 3
SEUGI 2001 Querying Star and Snowflake Schemas in SAS Bart Heinsius source 5
SUGI 2001 Querying Star and Snowflake Schemas in SAS Bart Heinsius source 5
SUGI 2001 Quick Disk Table Look-up via Hybrid Indexing into a Directly Addressed SAS Data Set Paul M. Dorfman 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
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 From the client datamart to the corporate data warehouse [presentation] Daniel Csikos source 19
SEUGI 2000 SAS/IntrNet - Tips and Techniques [presentation] Matthias Boge source 52
SUGI 2000 Power Indexing: A Guide to Using Indexes Effectively in Nashville Releases Diane Olson source 5
SUGI 2000 Use of SPEDIS Function in Finding Specific Values Yefim Gershteyn source 3
SCSUG 1999 Functions in SAS Destiny Corporation (a company) 3
NESUG 1999 Garbage In, Garbage Out. Does It Have To Be That Way? Louise S. Hadden 5
MWSUG 1999 Language Interpretation of Prescription Label Sigs: Computing Daily Consumptions in Medication Compliance Studies Patty J. Keys 6
SUGI 1999 How and When to Use WHERE J. Meimei Ma,
Sandra D. Schlotzhauer		 source 8
SUGI 1999 Language Interpretation of Prescription Label Sigs: Computing Daily Consumptions in Medication Compliance Studies Patty J. Keys source 5
SUGI 1999 The DATA Statement: Efficiency Techniques S. David Riba source 8
MWSUG 1998 Faster Data Extraction with Your Own Clustered Index Zhuan (John) Xu 5
SCSUG 1998 Data Warehousing Efficiency Techniques with the SAS System Tony Brown 10
SCSUG 1998 Functions in SAS Destiny Corporation (a company) 3
SCSUG 1998 Sometimes You get What You Want: SAS I/O Enhancements for Version 7 Steve Beatrous,
Billy Clifford		 9
WUSS 1998 Creating Inferred Data Using SAS Tim Walters source 6
WUSS 1998 Querying the Data Warehouse with SQL SELECT Statement Kirk Paul Lafler,
Sunil Kumar Gupta,
Charles E. Shipp		 source 5
SESUG 1998 Data Warehouse Efficiency Techniques with the SAS System Tony Brown 10
SUGI 1998 Purge Those MERGE Problems: Realistic Solutions for Accurate and More Complete Matching of Inexact Data Fields that Occur in the Everyday World Judy Palermo source 6
SUGI 1998 Querying the Data Warehouse with the SQL Procedure SELECT Statement Kirk Paul Lafler source 5
SUGI 1998 Sometimes You Get What You W ant: SAS I/O Enhancements in Version 7 Steve Beatrous,
Billy Clifford		 source 9
NESUG 1997 Techniques for Managing Large Data Sets: Compression, Indexing and Summarization Lisa Ann Horwitz 8
NESUG 1997 Word-Wrapping Text Output in SAS Reports S. David Riba 2
SESUG 1997 Changes and Enhancements for The SAS System Versions 6.11 and 6.12 Under Windows Christine E. Cox 5
SESUG 1997 Using Indexes for Direct Access to SAS Datasets Judy Loren 2
SEUGI 1997 SPDS - The Scalable Performance Data Server Thomas Becker source 49
SUGI 1997 Using SAS Software to Compare Strings of VOLSERS in a JCL Job and a TSO CLIST Randall M. Nichols source 6
SCSUG 1996 A Beginner's Guide to Using Random File Access With the SAS System Glenn Millard 11
SESUG 1996 Software Validation and Testing Andrew T. Kuligowski 9
MWSUG 1996 Randomly Accessing Files Using the KEY=Option Kim L. Kolbe Ritzow 10
SUGI 1996 Software Validation and Testing Andrew T. Kuligowski source 9
SCSUG 1995 Advanced Analysis of Stock Prices Using the CRSP Tapes and SAS: Protocols for Both Academic Research and Classroom Use Glenn Millard,
Garland Simmons		 20
MWSUG 1995 Efficient Techniques for Random Access to SAS Data Sets David Sommer 6
NESUG 1995 Using Indexes for Direct Access to SAS Datasets Judy Loren 2
WUSS 1995 Efficient SAS Programming and Data Storage Techniques Prahanth Shetty source 5
SESUG 1995 Using SAS to Auto-code Occupation and Industry Fields Gail Wisan 6
SUGI 1995 Accessing Data Faster Than a SAS Index Daniel Dower source 4
SUGI 1995 Efficient Techniques for Random Access to SAS Data Sets David Sommer source 6
SUGI 1995 Using Indexes for Direct Access to SAS Datasets Judy Loren source 7
WUSS 1994 From Multi-Minute to Sub-Second Response Time With Indexes Terry Berryhill source 2
NESUG 1994 %SUBSTR and Other Useful Macro Functions Paula B. Podolnick 9
NESUG 1994 Using Indexes for Direct Access to SAS Datasets Judy Loren 7
NESUG 1993 Now That Your E-Mail Box is Full, How Do You Manage It? Michael L. Davis 11
MWSUG 1993 Modualar Programming for a Screen Control Language Application Linda M. Quinn,
Allan M. Kominek,
Tina M. Sluga		 6
NESUG 1992 SAS System Supervison - A Version 6 Update Merry G. Rabb,
Donald J. Henderson,
Jeffrey Polzin		 8
SUGI 1992 A SAS Program to Create Output Files Used for a Randomization Code Distribution Procedure Joseph M. O'Connor,
Ute E. Schwiderski,
Joseph J. Andary		 source 5
SUGI 1992 Experiments in Indexing Swati Bansal,
Margaret Seldin		 source 3
SUGI 1992 The SAS System Supervisor - A Version 6 Update Merry G. Rabb,
Donald J. Henderson,
Jeffrey A. Polzin		 source 8
SUGI 1992 Using the FSLETTER Procedure in the SAS Macro Facility to Produce Quality Letter Output for a Marketing Department Phyllis Jordan-Johnson,
Margaret L. Molnar		 source 9
SEUGI 1991 Effective Use of Indexes in the SAS System Steve Beatrous source 10
SUGI 1991 Effective Use of Indexes in the SAS System Stephen M. Beatrous,
Karen Armstrong		 source 10
SUGI 1991 Effective Use of SAS Data Set Indexes in SAS Applications Sally J. Painter source 5
NESUG 1990 The SAS Supervisor - A Version 6 Update Donald J. Henderson,
Merry G. Rabb,
Jeffrey A. Polzin		 11
MWSUG 1990 The SAS Supervisor - A Version 6 Update Donald J. Henderson,
Merry G. Rabb,
Jeffrey A. Polzin		 10
SUGI 1990 Changes and Enhancements to Version 6 Procedures David Driggs source 11
SEUGI 1989 Using New SAS Database Features And Options Jack Wallace source 12
SUGI 1989 A Meta-database Implementation Strategy for Documentation and Retrieval Using the SAS System John Podgurski source 10
SEUGI 1988 Version 6 Data Base System Architecture Current and Future Features Jack Wallace source 9
SUGI 1988 Forecasting the Economy Using the Composite Leading Index, Its Components, and a Rational Expectations Alternative Lung-ho Lin,
Steven C. Myers		 source 6
SUGI 1988 Version 6 SAS Data Base System Architecture: Current and Future Features Stephen M. Beatrous,
William D. Clifford		 source 10
SUGI 1986 Sample Utility Macros Ross Merlin source 8
SUGI 1983 A SAS-based Marketing Information Service Debora J. Frye source 5
SUGI 1982 Generating Combined Literature Indices William M. Taylor,
Barbara Taylor		 source 5

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