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367 papers and 5 presentations; 303 titles.

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Conference × Year × Title × Authors Extras Pages
PharmaSUG 2026 Goodbye SAS, Hello R: Practical Workflows for CDISC Standards Madeleine Penniston,
Alyssa M. Wittle		 source 12
PHUSE APAC 2026 Cytel FSP - AI to Enable the Biometrics Workforce of the Future [presentation] Corey Dunham source 11
PHUSE APAC 2026 SAS to Python: A Hands-On Cheat Sheet for Statistical Programmers Jagadish Katam source
presentation source		 10
PHUSE APAC 2026 SAS to R: CHEAT SHEET - A Practical Guide for Clinical Programmers Lekitha JK,
Jalendhar Ettedi		 source
poster source		 24
MWSUG 2025 Validate the Code, not just the Data : A System for SAS program evaluation Jayanth Iyengar source 38
WUSS 2025 Validate the Code, not just the Data : A System for SAS program validation Jayanth Iyengar source 38
PharmaSUG 2025 Advanced Programming with R: Leveraging Tidyverse and Admiral for ADaM Dataset Creation with a Comparison to SAS Joshua J. Cook,
Richann J. Watson		 source 20
PharmaSUG 2025 Comparing SAS and R Approaches in Reshaping data Yachen Wang,
Chen Ling		 source 12
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
PharmaSUG 2025 Validate the Code, not just the Data : A System for SAS program validation Jayanth Iyengar source 38
PHUSE US 2025 Data extraction and Graphical visualization for quick decision making Mukul K Mittal source
presentation source		 6
MWSUG 2024 A General Review of Fuzzy Matching Techniques and Their Capabilities Using SAS Kirk Paul Lafler source 31
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
PharmaSUG CN 2024 Enhancing SAS Programming Efficiency with Large Language Models (LLMs) Guangyong Li,
Junkai Zhao		 source 15
PharmaSUG 2024 An Introduction to the SAS Transpose Procedure and its Options Timothy J. Harrington source 14
PharmaSUG 2024 Replicating SAS Procedures in R with the PROCS Package David J. Bosak source 10
PharmaSUG 2024 Transitioning from SAS to R Ashley Tarasiewicz,
Chelsea Dickens		 source 83
PHUSE US 2024 Data Designer: Empowering data mapping, manipulation and analysis for advanced insights and decision making Mukul K Mittal source
presentation source		 6
WUSS 2023 10 Quick Tips for Getting Tipsy with SAS Lisa A. Mendez,
Richann J. Watson		 source 16
WUSS 2023 Application of Fuzzy Matching Techniques Using SAS Software Kirk Paul Lafler,
Stephen B. Sloan		 source 30
WUSS 2023 Leveraging Teradata ClearScape Analytics to Improve ROI [presentation] Gregory Goralski,
Paul Segal		 source 40
SESUG 2023 10 Quick Tips for Getting Tipsy with SAS Richann J. Watson,
Lisa A. Mendez		 source 16
SESUG 2023 A Quick Look at Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan,
Kirk Paul Lafler		 source 29
SESUG 2023 Application of Fuzzy Matching Techniques Using SAS Software Kirk Paul Lafler,
Stephen B. Sloan		 source 30
SESUG 2023 Generating Mock Data in SAS Imelda C. Go,
Abbas S. Tavakoli		 source 6
PharmaSUG 2023 10 Quick Tips for Getting Tipsy with SAS Lisa A. Mendez,
Richann J. Watson		 source 16
PharmaSUG 2023 A Quick Look at Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan,
Kirk Paul Lafler		 source 29
PharmaSUG 2023 Post-surgical opioid pain medications usage evaluation using SAS and Excel Marek K. Solak source 11
PHUSE US 2023 proc transpose data= Professional out= Leader; Pratibha Jalui source
presentation source		 3
PHUSE EU 2022 Aligning Statistical Techniques Between R and SAS - A Practical Example Using Cluster Analysis [presentation] Stephen Prust,
Mike Cooper		 source 13
SESUG 2022 Application of Fuzzy Matching Techniques Using SAS Software - A Panel Discussion Kirk Paul Lafler,
Stephen B. Sloan		 source 30
SESUG 2022 Long to Wide Format Isaiah Omerhi source 1
WUSS 2022 Application of Fuzzy Matching Techniques Using SAS Software - A Panel Discussion Kirk Paul Lafler,
Stephen B. Sloan		 source 30
WUSS 2022 Creating a Data Dictionary Using Base SAS Tasha Chapman source 13
WUSS 2022 Quick Jumpstart into Pharmaceutical SAS Programming Jim Box,
Matthew J. Becker		 source 7
PharmaSUG 2022 A Dynamic Data Visualization Report for Efficacy Endpoints of Early Oncology Study Hong (Lily) Zhang,
Yixin Ren,
Huei-Ling Chen		 source 10
PharmaSUG 2022 A Quick Look at Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan,
Kirk Paul Lafler		 source 29
PharmaSUG 2022 R syntax for SAS programmers Max Cherny source 12
PHUSE EU 2021 Learnings Using R for Creating CDISC Data for Analysis and Reporting Purposes! [presentation] Gustav Söderström,
Nicole Major		 source
video		 23
SESUG 2021 A Quick Look at Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan,
Kirk Paul Lafler		 source 28
SESUG 2021 Using PROC SQL to restructure data for common healthcare applications Tamar C. Roomian source 6
PharmaSUG 2021 A Quick Look at Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan,
Kirk Paul Lafler		 source 28
SESUG 2020 An Introduction to SAS DATA Step Hash Programming Kirk Paul Lafler source 12
SGF 2020 A Hands-on Introduction to SAS Hash Programming Techniques Kirk Paul Lafler source 13
SGF 2020 Making Long Data Wide with a Flexible Macro Stephanie R. Thompson source 13
PharmaSUG 2020 Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan,
Kirk Paul Lafler		 source 28
PharmaSUG 2020 Implementing a LEAD Function for Observations in a SAS DATA Step Timothy J. Harrington source 12
PharmaSUG 2020 Transpose Procedure: Turning it Around Again Janet E. Stuelpner source 8
PHUSE US 2020 R syntax for SAS programmers Max Cherny source
presentation source		 12
WUSS 2019 A Hands-on Introduction to SAS DATA Step Hash Programming Techniques Kirk Paul Lafler source 12
WUSS 2019 A Quick Look at Fuzzy Matching Programming Techniques Using SAS Software Kirk Paul Lafler,
Stephen B. Sloan		 source 28
PharmaSUG 2019 It's All About the Base-Procedures Jane Eslinger source 20
PharmaSUG 2019 Practical Guidance for ADaM Dataset Specifications and Define.xml Jack Shostak source 14
SGF 2019 It's All About the Base-Procedures Jane Eslinger source 21
SGF 2019 Surveys: Finding the message in the tables Alice Feldesman source 12
SGF 2019 Thirteen Statistics Every Biostatistician Should Know AnnMaria De Mars source 20
SGF 2019 Using PROC SQL to Generate Shift Tables More Efficiently Jenna Cody source 9
SCSUG 2018 A Hands-on Introduction to SAS DATA Step Hash Programming Techniques Kirk Paul Lafler source 12
PHUSE EU 2018 Please Put Your Data in an Upright Position - Or How to Tackle Verticalisation Kristina Zweier source
presentation source		 9
PHUSE EU 2018 Tree Traversal: Why You Should Never Transpose in PROC SQL Jessica Whittaker-Dixon,
Will Greenway		 source
poster source		 16
SESUG 2018 Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan source 29
SESUG 2018 Using PROC SQL to Generate Shift Tables More Efficiently Jenna Cody source 8
SESUG 2018 Web Scraping in SAS: A Macro-Based Approach Jonathan W. Duggins source 10
MWSUG 2018 A Quick Look at Fuzzy Matching Programming Techniques Using SAS Software Kirk Paul Lafler,
Stephen B. Sloan		 28
WUSS 2018 When the Mean Isn't Enough: Methods for Assessing Individual Differences using SAS Melissa McTernan source 8
SGF 2018 Accelerate Your Analytics with SAS and Teradata Using Disparate Data Sources Paul Segal source 6
SGF 2018 An Easier and Faster Way to Untranspose a Wide File Joe Matise,
Arthur S. Tabachneck,
Matthew J. Kastin,
Gerhard Svolba		 source 36
SGF 2018 Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan,
Kirk Paul Lafler		 source 24
SGF 2018 Using SAS for Multiple Imputation and Analysis of Longitudinal Data Patricia A. Berglund source 24
SESUG 2017 A Hands-on Introduction to SAS DATA Step Hash Programming Techniques Kirk Paul Lafler source 12
SESUG 2017 Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan,
Kirk Paul Lafler		 source 25
SCSUG 2017 Fuzzy Matching Programming Techniques Using SAS Software Kirk Paul Lafler,
Stephen B. Sloan		 source 25
MWSUG 2017 DOSUBL and the Function Style Macro John Henry King 6
MWSUG 2017 Proc Transpose Cookbook Douglas Zirbel 12
WUSS 2017 A Hands-on Introduction to SAS DATA Step Hash Programming Techniques Kirk Paul Lafler source 12
WUSS 2017 A Quick Look at Fuzzy Matching Programming Techniques Using SAS Software Kirk Paul Lafler,
Stephen B. Sloan		 source 25
WUSS 2017 Creating a Data Dictionary Using Base SAS Tasha Chapman source 13
WUSS 2017 Five Ways to Flip-Flop Your Data Joshua M. Horstman source 10
WUSS 2017 SAS Abbreviation: The Snippets that Keep on Giving Robert Bikwemu source 4
WUSS 2017 Simplifying Effective Data Transformation Via PROC TRANSPOSE Arthur X. Li source 12
WUSS 2017 The Future of Transpose: How SAS Is Rebuilding its Foundation by Making What Is Old New Again Scott Mebust source 16
PharmaSUG 2017 The Proc Transpose Cookbook Douglas Zirbel source 12
SGF 2017 Accelerate Your Data Prep with SAS Code Accelerator Paul Segal source 5
SGF 2017 Befriend SAS In-Database Technologies to Accelerate SAS Integration with Your Data Platform Tatyana Petrova source 16
SGF 2017 Complex Merging of Emergency Department and Hospitalization Data to Create a Longitudinal Data Set Charlotte Baker source 9
SGF 2017 The Future of Transpose: How SAS Is Rebuilding its Foundation by Making What Is Old New Again Scott Mebust source 16
SESUG 2016 An Introduction to SAS Hash Programming Techniques Kirk Paul Lafler source 12
SESUG 2016 Array Programming Basics John J. Cohen source 11
SESUG 2016 Creating Viable SAS Data Sets From Survey Monkey Transport Files John R. Gerlach source 11
SESUG 2016 Super Boost Data Transpose Puzzle Ahmed Al-Attar source 7
SESUG 2016 Universal File Flattener David A. Vandenbroucke source 12
SESUG 2016 Using PROC EXPAND to Easily Manipulate Longitudinal and Panel Data Matthew J. Hoolsema,
Carnegie Mellon		 source 6
PHUSE EU 2016 Efficiently Converting Datasets to Vertical Structure using Metadata Thevaki Mahadevan source
presentation source		 6
MWSUG 2016 A Demonstration of Various Models Used in a Key Driver Analysis Steven M. LaLonde 17
MWSUG 2016 A Hands-on Introduction to SAS DATA Step Hash Programming Techniques Kirk Paul Lafler 12
MWSUG 2016 Array of Sunshine: Casting Light on Basic Array Processing Nancy Brucken 5
MWSUG 2016 Read html files and create standard tables for BISR at KUMC Chuanwu Zhang,
John Keighley,
Byron J. Gajewski		 7
MWSUG 2016 Simplifying Effective Data Transformation Via PROC TRANSPOSE Arthur X. Li 13
WUSS 2016 Creating Viable SAS Data Sets From Survey Monkey Transport Files John R. Gerlach,
Independent Contractor		 source 11
WUSS 2016 The Fantastic Four: Running Your Report Using the TABULATE, TRANSPOSE, REPORT, or SQL Procedure Joshua M. Horstman source 13
PharmaSUG 2016 Array of Sunshine: Casting Light on Basic Array Processing Nancy Brucken source 5
PharmaSUG 2016 DOSUBL and the Function Style Macro John Henry King source 6
SGF 2016 Missing Values: They Are NOT Nothing Justin Jia,
Shan Shan Lin		 source 19
SGF 2016 Super Boost Data Transpose Puzzle Ahmed Al-Attar source
zip		 7
SGF 2016 The Baker's Dozen: What Every Biostatistician Needs to Know AnnMaria De Mars source 17
SGF 2016 The Fantastic Four: Running Your Report Using the TABULATE, TRANSPOSE, REPORT, or SQL Procedure Joshua M. Horstman source 13
SGF 2016 Transformers: Revenge of the PROCs Faron Kincheloe source 11
SGF 2016 Universal File Flattener David A. Vandenbroucke source
zip		 15
PHUSE EU 2015 WPP, Worst Programming Practice - Real-life Pittfalls in Everyday Clinical Programming: Why and How Hannes Engberg Raeder,
Rowland Hale		 source
presentation source		 14
SESUG 2015 PROC TRANSPOSE: Flip your Data 90 o and Save Time Rachel Straney source 6
SESUG 2015 Streamlining Medicaid Enrollment Reporting and Calculation of Enrollment Trends Using Macro and PROC Statements in SAS Deniz Soyer source 10
WUSS 2015 Doing more with SAS Arrays Rahul Pillay source 8
WUSS 2015 ODS Output Data Sets That Work for You Stuart D. Long,
Edward Heaton,
Daniel R. Scharf		 source 29
PharmaSUG 2015 Improving Data Quality - Missing Data Can Be Your Friend! Julie Chen source 12
PharmaSUG 2015 PROC TRANSPOSE For Fun And Profit John J. Cohen source 18
PharmaSUG 2015 Simplicity is the Soul of Efficiency: Simple Tips and Tricks for Efficient SAS Programming Shefalica Chand source 8
SGF 2015 Don't Copy and Paste--Use BY Statement Processing with ODS to Make Your Summary Tables Jeffrey M. Gossett,
Mallikarjuna Rettiganti		 source 18
SGF 2015 Performing Efficient Transposes on Large Teradata Tables Using SQL Explicit Pass-Through Tao Cheng source 17
SESUG 2014 1 How to Build a Data Dictionary - In One Easy Lesson Gary E. Schlegelmilch source 7
SESUG 2014 PROC TRANSPOSE For Fun And Profit John J. Cohen source 18
PHUSE EU 2014 FLIPFLOP the Data: To Check Sustained Timepoint Occurrences Rucha Landge source
presentation source		 8
MWSUG 2014 Five Ways to Flip-Flop Your Data Joshua M. Horstman 9
MWSUG 2014 From Wide to Tall: A Proc SQL Approach to Transposing Brandon Crosser 4
MWSUG 2014 Parallel Data Preparation with the DS2 Programming Language John Cunningham,
Paul Segal,
Tho H. Nguyen		 11
MWSUG 2014 Sailing Over the ACROSS Hurdle in PROC REPORT Cynthia L. Zender 16
WUSS 2014 It's Simpler than You Think: An example of a Patient Summary Report generated using SAS and ODS PDF Julie A. Kilburn source 8
WUSS 2014 Parallel Data Preparation with the DS2 Programming Language John Cunningham,
Tho H. Nguyen		 source 11
WUSS 2014 Quick Tips on Powerful use of Arrays Rahul Pillay source 8
PharmaSUG 2014 Five Ways to Flip-Flop Your Data Joshua M. Horstman source 9
SGF 2014 Five Ways to Flip-Flop Your Data Joshua M. Horstman source 9
SGF 2014 Sailing Over the ACROSS Hurdle in PROC REPORT Cynthia L. Zender source
zip		 16
SGF 2014 SAS Solutions to Identifying Hospital Readmissions Weifeng Fan,
Maryam Sarfarazi		 source 8
WUSS 2013 Converting Entity-Attribute-Value (EAV) Source Tables into Useful Data with SAS DATA Steps Thomas E. Billings,
Baskar Anjappan,
Junling Ji		 source 9
WUSS 2013 SAS on a Shingle, More Flippin with Hash Ethan Miller,
Kirk Paul Lafler		 source 10
WUSS 2013 Sharpening Your Skills in Reshaping Data: PROC TRANSPOSE vs. Array Processing Arthur X. Li source 15
SCSUG 2013 A Dose of SAS to Brighten Your Health Care Blues Gabriela Cantu,
Christopher Klekar		 source 14
SCSUG 2013 Practical Array Usage with String Search Charles Basham source 5
SCSUG 2013 Using SAS to Build Customer Level Datasets for Predictive Modeling Scott M. Shockley source 14
SESUG 2013 A Row Is a Row Is a Row, or Is It? A Hands-On Guide to Transposing Data Christianna S. Williams source 17
SESUG 2013 Case Study: Migrating an Existing SAS Process to Run on the SAS Intelligence Platform Intelligence Platform source 9
MWSUG 2013 A Better Way to Flip (Transpose) a SAS Data Set Arthur S. Tabachneck,
Xia Ke Shan,
Robert Virgile,
Joe Whitehurst		 22
MWSUG 2013 A Poor/Rich SAS User's PROC EXPORT Arthur S. Tabachneck,
Tom Abernathy,
Randy D. Herbison,
Matthew J. Kastin		 6
MWSUG 2013 Data Cleaning 101: An Analyst's Perspective Anca M Tilea,
Deanna Chyn		 5
MWSUG 2013 Increase Your Productivity by Doing Less Arthur S. Tabachneck,
Xia Ke Shan,
Robert Virgile,
Joe Whitehurst		 6
MWSUG 2013 Life Imitates Art: ODS Output Data Sets that Look like Listing Output Dylan Ellis 14
NESUG 2013 PROC TRANSPOSE For Fun And Profit John J. Cohen 18
PharmaSUG 2013 Sharpening Your Skills in Reshaping Data: PROC TRANSPOSE vs. Array Processing Arthur X. Li source 15
SGF 2013 A Better Way to Flip (Transpose) a SAS Data Set Arthur S. Tabachneck,
Joe Whitehurst,
Robert Virgile,
Xia Ke Shan		 source 21
SGF 2013 A Row Is a Row Is a Row, or Is It? A Hands-On Guide to Transposing Data Christianna S. Williams source 16
SGF 2013 Horizontal Data Sorting and Insightful Reporting: A Useful SAS Technique Amanda Lin,
Justin Jia		 source 14
SGF 2013 Increase Your Productivity by Doing Less Arthur S. Tabachneck,
Joe Whitehurst,
Robert Virgile,
Xia Ke Shan		 source 5
SGF 2013 Reordering Columns after PROC TRANSPOSE (or Anytime You Want, Really) Sau Yiu source 4
SGF 2013 Sharpening Your Skills in Reshaping Data: PROC TRANSPOSE vs. Array Processing Arthur X. Li source 15
NESUG 2012 Long-to-Wide: PROC TRANSPOSE vs Arrays vs PROC SUMMARY Michael S. Zdeb 14
NESUG 2012 Use the Full Power of SAS in Your Function-Style Macros Michael D. Rhoads 10
PHUSE EU 2012 Understanding SAS...the SAS-sy Way! Amar Nayak source
poster source		 8
SESUG 2012 ODS Output Data Sets That Work for You Stuart D. Long,
Edward Heaton,
Daniel R. Scharf		 source 29
WUSS 2012 Best Practices: Use Coding Shortcuts to Avoid Typsos and Add Flexibility Mary F. O. Rosenbloom,
Edwards Lifesciences,
Kirk Paul Lafler		 source 7
WUSS 2012 SAS on a Shingle, Flippin with Hash Ethan Miller,
Kirk Paul Lafler		 source 10
WUSS 2012 Simplifying Effective Data Transformation Via PROC TRANSPOSE Arthur X. Li source 12
PharmaSUG 2012 "V" Can Transpose: Transposing Data Sets Using Functions Nehan Mohan source 4
PharmaSUG 2012 Atypical Applications of Proc Transpose John Henry King source 14
PharmaSUG 2012 Getting Your Data in Shape With PROC TRANSPOSE Nancy Brucken source 11
PharmaSUG 2012 Simplifying Effective Data Transformation Via PROC TRANSPOSE Arthur X. Li source 13
PharmaSUG 2012 Transposing Tables from Long to Wide: A Novel Approach Using Hash Objects Joseph W. Hinson,
Changhong Shi		 source 11
SGF 2012 One Flip, Two Flip, Fat File, Flat File Ethan Miller source 6
SGF 2012 Reordering Values within Observations: Beyond CALL SORTC(N) Adish Jain,
Kate Bachtell		 source 11
SGF 2012 Simplifying Effective Data Transformation Via PROC TRANSPOSE Arthur X. Li source 13
SGF 2012 The DOW Loop: A Smarter Approach to Your Existing Code Fuad J. Foty source 12
SGF 2012 Use the Full Power of SAS in Your Function-Style Macros Michael D. Rhoads source 10
SCSUG 2011 Becoming a Better Programmer with SAS Enterprise Guide 4.3 Michael Walters source 40
SCSUG 2011 Choosing the Road Less Traveled: Performing Similar Tasks with Either SAS DATA Step Processing or with Base SAS Procedures Kathryn McLawhorn source 12
SCSUG 2011 Intro to Longitudinal Data: A Grad Student "How-To" Paper Elisa L. Priest source 14
SESUG 2011 Becoming a Better Programmer with SAS Enterprise Guide 4.3 Andy Ravenna source 40
SESUG 2011 Build Excel-Like Pivot Table Using PROC SQL and PROC TRANSPOSE Mai Nguyen,
Shane Trahan,
Inga Allred,
Nick Kinsey		 source 12
WUSS 2011 Becoming a Better Programmer with SAS Enterprise Guide 4.3 Andy Ravenna source 40
WUSS 2011 SAS Essentials I: SAS Functions for a Better Functioning Community AnnMaria De Mars source 15
WUSS 2011 Tips and Techniques for the SAS Programmer Helen D. Carey source 19
MWSUG 2011 Becoming a Better Programmer with SAS Enterprise Guide 4.3 Andy Ravenna 40
NESUG 2011 A SAS Macro for Transposing Large Datasets Chen Li 4
PharmaSUG 2011 2 PROC TRANSPOSEs = 1 DATA Step DOW-Loop Nancy Brucken source 4
PharmaSUG 2011 Choosing the Road Less Traveled: Performing Similar Tasks with Either SAS DATA Step Processing or with Base SAS Procedures Kathryn McLawhorn source 12
SGF 2011 After SAS Performs the Surgery, Excel Applies the Make-Up: Making Healthcare Data Look Pretty Andrea Scott source 5
SGF 2011 Assembling Data Sets for Use in Geographic Information Systems (GIS): Use of PROC TRANSPOSE in Macros Saiful Momen source 8
SGF 2011 Becoming a Better Programmer with SAS Enterprise Guide 4.3 Andy Ravenna source 40
SGF 2011 Choosing the Road Less Traveled: Performing Similar Tasks with Either SAS DATA Step Processing or with Base SAS Procedures Kathryn McLawhorn source 12
SGF 2011 Multivariate Data Displays for Evaluating Clusters Robert G. Moore source 9
SGF 2011 Nobody Warned Me! Be Careful with SAS@: Invisible Errors Ieva Brauksa source 7
SGF 2011 ODS Output Data Sets That Work for You Stuart D. Long,
Edward Heaton,
Daniel R. Scharf		 source 29
SGF 2011 Search Phrases with Arrays and Macros: Public Health Death Surveillance Amy E. Prestanski,
Liva Nohre		 source 9
SGF 2011 Ten Ways to Improve the Efficiency of Clinical Statistical Programming Amos Shu source 5
SGF 2011 Tips and Techniques for SAS Programmers Helen D. Carey,
Ginger Carey		 source 19
SCSUG 2010 A SAS Primer for Health Care Data Analysts Christopher W. Schacherer source 24
SCSUG 2010 Efficiency: How Your Data Structure Can Help or Hurt!!! Toby Dunn source 15
WUSS 2010 One Flip, Two Flip, Fat File, Flat File Ethan Miller source 5
PHUSE EU 2010 PROC TRANSPOSE for Better Listings View Jules Van der Zalm source 8
MWSUG 2010 A SAS Primer for Health Care Data Analysts Christopher W. Schacherer,
Brent D. Westra		 24
MWSUG 2010 Multivariate Data Displays for Evaluating Clusters Robert G. Moore 9
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 %RESTRUCT - SAS macro with Proc Univariate Milorad Stojanovic source 7
SGF 2010 Establishing Consistent Programming for Pharmaceutical Safety Summarizations Using a DOW Loop Bradford J. Danner,
Steven R. Kirby		 source 8
SGF 2010 SAS Enterprise Guide 4.2: Getting to Code You Andy Ravenna source 33
SGF 2010 Tabular Reporting Data Standard Frederick A. Cieri source 9
SGF 2010 Transposing Data Using the IDGROUP Option in PROC SUMMARY John Henry King,
Michael S. Zdeb		 source 6
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
SGF 2010 Using the SQL Procedure to Summarize and Transpose Data Kevin Chung source 8
SCSUG 2009 Efficiency: How Your Data Structure Can Help or Hurt!!! Toby Dunn 15
PHUSE EU 2009 PROC TRANSPOSE for Better Listing View Jules Van der Zalm source 8
MWSUG 2009 Handy Procedures to Expand Your Analytics Skill Set Mary F. MacDougall 9
NESUG 2009 A Row is a Row is a Row, or is it? Get Comfortable with Transposing your Data Christianna S. Williams 12
NESUG 2009 Ad Hoc Data Preparation for Analysis Using SAS Enterprise Guide I-Kong B. Fu 11
WUSS 2009 A Beginner's Example of PROC MIXED for the Analysis of Letter Identification Using Reaction Time Sarah R. Greene source 4
WUSS 2009 Improving Efficiency of Excel Summary Production with SAS Data Steps Prior to PROC DBLOAD Export Keiko I. Powers source 10
WUSS 2009 Skinny to Fat - In Search of the "Ideal" Data Set Jeanina M. Worden source 7
PharmaSUG 2009 Establishing Consistent Programming for Pharmaceutical Safety Summarizations Using a DOW Loop Bradford J. Danner,
Steven R. Kirby		 8
PharmaSUG 2009 Transposing Data Using PROC SUMMARY'S IDGROUP Option John Henry King,
Mount Ida		 6
SGF 2009 A Row is a Row is a Row, or is it? Get Comfortable with Transposing your Data Christianna S. Williams source 12
SGF 2009 Ad Hoc Data Preparation for Analysis Using SAS Enterprise Guide I-Kong B. Fu,
Wayne Thompson,
Mike Porter		 source 11
SGF 2009 Learn the Basics of PROC TRANSPOSE Douglas Zirbel source 8
SGF 2009 Simple Applications of SQL Howard L. Schreier source 17
SGF 2009 Tips and Tricks for Creating the Reports Your Clients Need to See Michael J. Molter source 13
WUSS 2008 E Pluribus Unum: How to Obtain One Observation from Multiple Observations by Limiting, Reshaping, and Summarizing Data Eric P. Elkin source 13
SESUG 2008 A Row is a Row is a Row, or is it? Get Comfortable with Transposing your Data Christianna S. Williams source 12
SESUG 2008 Automated Data Converting of Character into Numeric Fields Mila Chiflikyan source 11
MWSUG 2008 One-Step Change from Baseline Calculations, and Other DOW-Loop Tricks Nancy Brucken 8
NESUG 2008 A Row is a Row is a Row, or is it? Get Comfortable with Transposing your Data Christianna S. Williams 12
PharmaSUG 2008 An Alternative Method of Transposing Multiple Variable for Report Generation Li Luo 7
PharmaSUG 2008 Issues Associated with BY Statement in PROC TRANSPOSE Louie Huang 8
SGF 2008 Save Time! Merge SAS Files to Themselves Ann White,
Sally Williams		 source 5
SGF 2008 Using SAS and Google Earth to Access and Display Air Pollution Data Joshua Drukenbrod,
David Mintz		 source 12
NESUG 2007 Planning and Implementation of Dynamic Training to SAS Programmers in a Global Environment Stephanie Christofides,
Mark Penniston		 8
NESUG 2007 Swap the DATA Step for PROC TRANSPOSE Katie Joseph 5
NESUG 2007 Taming the PROC TRANSPOSE Matthew Taylor 5
NESUG 2007 Tips and Tricks for Creating the Reports Your Clients Need to See Mike Molter 13
NESUG 2007 Transposing Data Without PROC TRANSPOSE Christopher J. Bost 7
NESUG 2007 Visualizing PROC TRANSPOSE Daniel J. Boisvert,
Shafi Chowdhury		 6
SESUG 2007 Efficiency: How Your Data Structure Can Help or Hurt!!! Toby Dunn source 15
WUSS 2007 A Datum to Remember: Using the RETAIN Statement Jeanina M. Worden,
Chunmei Yang		 source 10
WUSS 2007 Simulating Student Responses Based on a Nominal Response Model Angela Austin source 6
WUSS 2007 Skinny to Fat - In Search of the "Ideal" Data Set Jeanina M. Worden source 7
WUSS 2007 The TRANSPOSE Procedure or How to Turn your Data Around David Fickbohm source 10
PharmaSUG 2007 2 PROC TRANSPOSEs = 1 DATA Step DOW-Loop Nancy Brucken 4
PharmaSUG 2007 The TRANPOSE Procedure or How to Turn It Around Janet E. Stuelpner 9
PharmaSUG 2007 Using Multiple Output Statements in the Summary Procedure Britney D. Gilbert 3
SGF 2007 An Animated Guide: PROC TRANSPOSE Russell M. Lavery source 22
SGF 2007 Skinny to Fat - In Search of the "Ideal" Data Set Jeanina M. Worden source 7
SGF 2007 Turning the Data Around: PROC TRANSPOSE and Alternative Approaches Erik W. Tilanus source 9
PNWSUG 2006 Five Easy (To Use) Macros Ted Clay 32
MWSUG 2006 Data Transposition with Proc Report Lingqun Liu 12
SESUG 2006 Creating RTF Tables with Univariate Analyses of Multiply Imputed Data Marie Gantz source 14
SESUG 2006 SYMPLIFY Your Data Set Transposition with SYMPUT and Make It Data-Driven Too! Christianna S. Williams source 5
NESUG 2006 %MISSING: A Macro to Report Missing Value Percentages for a Multi-Year Multi-File Information System Rushi Patel 6
NESUG 2006 An Introduction to Reshaping (TRANSPOSE) and Combining (MATCH-MERGE) SAS Data Sets Michael S. Zdeb 15
NESUG 2006 Renaming Variables for Source Data Residing Outside of a SAS Data Set Barbara Morse 3
SUGI 2006 The TRANSPOSE Procedure or How to Turn It Around Janet E. Stuelpner source 9
SESUG 2005 Proc Transpose or How to Turn It Around Janet E. Stuelpner source 7
SCSUG 2005 ID statement in Proc Transpose: why, how and when we have to use it Alexander M. Feigin 6
PHUSE EU 2005 The Dataset Diet - How to transform short and fat into long and thin Kathryn Wright source 6
NESUG 2005 An Animated Guide: PROC TRANSPOSE Russell M. Lavery 9
NESUG 2005 Array Programming Basics John J. Cohen 11
NESUG 2005 Right Time Right Place: An Application of Arrays Len Zangwill 5
NESUG 2005 SYMPLIFY Your Data Set Transposition with SYMPUT and Make It Data-Driven Too! Christianna S. Williams 3
PharmaSUG 2005 Program Templates for Report Generation Roger J. DeAngelis,
Thousand Oaks		 9
SUGI 2005 An Alternative Method of Transposing Data without the TRANSPOSE Procedure Sunil Kumar Gupta source 6
SUGI 2005 Automating Predictive Analysis to Predict Medicare Fraud Christine L. Warner source 9
SESUG 2004 A System to Calculate Market Value-at-Risk using SAS/IML and Oracle George Rezek source 12
WUSS 2004 A System to Calculate Market Value-at-Risk using Oracle and Monte Carlo Simulation in SAS/IML George Rezek source 12
MWSUG 2004 A System to Calculate Market Risk George Rezek 11
PNWSUG 2004 A System to Calculate Market Value-at-Risk using Oracle and Monte Carlo Simulation George Rezek 12
PharmaSUG 2004 Transposition of Variables with Different Formats Peter Lin 5
PharmaSUG 2004 Using Macro to Create a New Format to Transpose Differently Formatted Values Differently Formatted 2
SUGI 2004 A System to Calculate Market Value-at-Risk using Oracle George Rezek source 11
SUGI 2004 Present Data Listings with Numeric Column Names Zaizai Lu,
David Shen		 source 5
SUGI 2004 Some Uses (and Handy Abuses) of PROC TRANSPOSE Ralph W. Leighton source 17
SUGI 2004 Two Approaches to the Summarization of Data Huijuan Xu,
John Hotaling		 source 5
WUSS 2003 A Better Transpose: %TRANSPO Macro Preserves Variable Attributes Ted Clay source 3
WUSS 2003 PROC TRANSPOSE: The Mystery Unveiled Doug Shannon source 3
NESUG 2003 "ACROSS" in PROC REPORT Jiang Jin 2
NESUG 2003 CSV: A Macro Which Writes SAS Programs to Read csv-Files Victor Kamensky 8
NESUG 2003 Using ODS to Create Web-Based Neighborhood Profiles for the District of Columbia Peter Tatian 7
NESUG 2003 Working with Arrays: Doing More with Less Code Ralph W. Leighton 16
PharmaSUG 2003 Creating "that other" Laboratory Listing: Let PROC TRANSPOSE, FREQ, CONTENTS and REPORT Do the Job for You Luis F. Albarran 4
MWSUG 2002 10 Things Experienced SAS Programmers Don't Know - But Should Douglas Zirbel 10
SCSUG 2002 Summarizing and Reorganizing Data Jimmy A. DeFoor 7
NESUG 2002 A Practical Approach to Create Clinical Summary Tables Jiang Jin 2
WUSS 2002 Comparison of Several SAS Approaches to Mean Imputation for Time Series Data with Missing Data Points Keiko I. Powers source 4
SUGI 2002 Some Uses (and Handy Abuses) of PROC TRANSPOSE Ralph W. Leighton source 10
MWSUG 2001 The Ugliest Data I've Ever Met Derek P. Morgan 6
NESUG 2001 An Automated Approach to Create a SAS Macro Program with Formatted Variables and Labels from Table Description Files of a Database Hongwei Zhang 2
NESUG 2001 Some Uses (and Handy Abuses) of PROC TRANSPOSE Ralph W. Leighton 10
WUSS 2001 Matching 1990 and 2000 Census Data Richard O'Reilly source 3
SCSUG 2001 Biotech Warehouse - Stretching the Limit of Columns Larry D. Bramblett 2
SEUGI 2001 Send in the Clones [presentation] Philip Whittall source 22
PharmaSUG 2001 Multiple Column Transposition Solomon Lee 4
SUGI 2001 How to Visualize the Dance of the Money Bees Using Animating Graphs in SAS/INSIGHT Mang-King W. Cheung source
SCSUG 2000 PROC TRANSPOSE: Making Data Easier to Process Jimmy A. DeFoor 12
SESUG 2000 Panel Discussion on Problem Solving Frank C. DiIorio,
Paul M. Dorfman,
H. Ian Whitlock		 source 21
NESUG 2000 A Double Transpose H. Ian Whitlock 2
NESUG 2000 Some Uses (and Handy Abuses) of PROC TRANSPOSE Ralph W. Leighton 12
WUSS 1999 Polychotomous Logistic Regression and the Creation of Odds Ratios and Confidence Intervals Using the SAS PROC CATMOD Besa Nushi source 5
NESUG 1999 Creating Public Use Datasets With SAS Using the "ICH-E2b/M2 SGML" Format Bill Calvert,
Feng Zhou		 7
NESUG 1999 Robust Programming Techniques in the SAS System Alice M. Cheng 10
NESUG 1999 Some Uses (and Handy Abuses) of PROC TRANSPOSE Ralph W. Leighton 10
PharmaSUG 1999 Changing the Shape of Your Data: PROC TRANSPOSE vs. Arrays Bob Virgile 6
SUGI 1999 Changing the Shape of Your Data: PROC TRANSPOSE vs. Arrays Bob Virgile source 6
SUGI 1999 Transforming Multiple-record Data into Single-record Format When Number of Variables is Large David Izrael,
David Russo		 source 6
SUGI 1999 Using SAS Macro to Include Statistics Output in Clinical Trial Summary Table Amy C. Young,
Sharon X. Zhou		 source 5
NESUG 1998 "PROC TRANSPRINT" AND OTHER ODD USES OF PROC TRANSPOSE Ralph W. Leighton 8
NESUG 1998 Changing the Shape of Your Data: PROC TRANSPOSE vs. Arrays Bob Virgile 6
NESUG 1998 Discussion Of Two Ways Of Transforming Multiple-Record Data Into Single-Record Format When There Is a Large Number Of Variables David Izrael 6
NESUG 1998 Don't Panic When Your Favorite SAS PROC is Not Forwarded to the Next Version Release Scott LaPorte 3
SESUG 1998 Changing the Shape of Your Data: PROC TRANSPOSE vs. Arrays Bob Virgile 6
PharmaSUG 1998 Transposing a Relational Database: The Q-System for Pharmaceutical Safety Summarization, Graphics and Analysis Mary Cowmeadow 8
NESUG 1997 Accessing a SAS Variable Label: An Example of the Use of Macro Variables Carl E. Pierchala 2
NESUG 1997 Creating Tables with Summary Statistics When PROC Tabulate is Insufficient David Collins 4
NESUG 1997 Gentle Introduction to Information Theoretic Model Selection Criteria and Their Application in Clinical Trials Xi Chen 4
NESUG 1997 SAS Macro Solutions: An Application to Get You Going Ralph W. Leighton 10
NESUG 1997 Tips and Techniques for Processing Complex Databases: An Example With Health Care Claims Files Linda Nelsen 8
MWSUG 1997 PROC TRANSPOSE Steven L. Wonder 3
MWSUG 1997 Transporting a Relational Database: The Q-System for Pharmaceutical Safty Summarization, Graphs, and Analysis Mary Cowmeadow 5
SESUG 1997 Standardizing Output: PROC TRANSPOSE to the Rescue Judy Loren 2
PharmaSUG 1997 An Alternative Method of Transposing Data without the TRANSPOSE Procedure Sunil Kumar Gupta 3
PharmaSUG 1997 Combining Disparate Outputs from Consistency Checks into a Central Report Greg Henkle 3
PharmaSUG 1997 PROC TRANSPOSE as a Useful Intermediary Step in Generating Tables and Listings Tony T. Salehi 11
SUGI 1997 An Alternative Method of Transposing Data without the TRANSPOSE Procedure Sunil Kumar Gupta source 3
SUGI 1997 How Are All of These Tables Related? - Relational Database Map-RDB-MAP.SAS Eric R. Losby source 5
SUGI 1997 Manipulating Clinical Research Data with the TRANSPOSE Procedure in SAS/ASSIST Software Stanley Cron source 2
NESUG 1996 Standardizing Output: PROC TRANSPOSE to the Rescue Judy Loren 2
NESUG 1996 Transforming Data From Household-Level to Person-Level: PROC TRANSPOSE or DO Loop? Mary-Elizabeth Eddlestone 2
NESUG 1996 Using PROC TRANSPOSE to Facilitate the Processing, Analysis and Reporting of Health Care Claims Data Bryan K. Beverly 6
MWSUG 1996 Relational Database Map - RDB_MAP.SAS Eric R. Losby 6
MWSUG 1995 Data Management and Manipulation: Examples for Normalized Databases and Spreadsheets Marlene Goormastic,
Shelly Sapp		 6
NESUG 1995 A Creative Way to Read Stored Printed Reports Using the INPUT Statement and PROC TRANSPOSE Karen E. Davis 2
NESUG 1995 A Macro Which Transposes Data Beyond what PROC TRANSPOSE Can Do Yen L. Ouyang 2
WUSS 1995 An Alternative Method of Transposing Data without the TRANSPOSE Procedure Sunil Kumar Gupta source 3
SESUG 1995 An Alternative Method of Transposing Data without the TRANSPOSE Procedure Sunil Kumar Gupta 3
SUGI 1995 PROC TRANSPOSE and "Double Transpose " Erik W. Tilanus source 2
SUGI 1995 Working with Arrays Ralph W. Leighton source 11
SCSUG 1994 Creating 'Variable Name' Data Sets with CALL VNAME and PROC TRANSPOSE David Swift 8
WUSS 1994 The Joys of Merging: Alternative Techniques Joan Keesey source 6
NESUG 1994 Why Use PROC TRANSPOSE? Anthony Bryan Malinowski 5
SUGI 1994 Colored Candies and Base SAS: A Sweet Way to Produce Chi-Square Control Charts Part 1: Tutorial Sherry Joyce King,
Melvin T. Alexander		 source 6
SUGI 1994 The Joys of Merging: Alternative Techniques Joan Keesey source 6
SUGI 1993 Techniques for Merging Non-Indexed Data Sets with Duplicate Values of the BY Variables Mark Prior source 6
SUGI 1993 Understanding the Transpose Procedure Susan P. Repole source 5
NESUG 1992 Reducing I/O Operations Using PROC TRANSPOSE Susan Repole 2
NESUG 1992 Restructuring Data Sets Using Arrays of the TRANSPOSE Procedure Paula B. Podolnick 6
NESUG 1992 Three Methods for Creating One Observation from Multiple Observations Adeline J. Wilcox 2
NESUG 1992 Working with Arrays: Doing More with Less Code Ralph W. Leighton 11
SUGI 1992 Twin Studies: Now That I Have Your Attention, or How One Users Group Kept Its Crowd After Lunch Lynne A. Davidson source 5
SUGI 1992 YTD Reporting Using the SUMMARY and TRANSPOSE Procedures Tom Bellmer,
Steven J. First		 source 5
SEUGI 1991 Probability Density Distribution of Airborne Pollen Grains Danilo Manco,
P. Mandrioli,
S. Corsi,
T. Tirabassi		 source 12
SUGI 1991 Robust Estimator for Linear Regression Ashok Mehta source 7
SUGI 1991 Techniques for Improving Coding and Processing Efficiency in the DATA Step Herbert C. Reynolds,
Thomas Jacob		 source 4
SUGI 1991 Using the SAS System to Solve a Complex Programming Problem Orion V. Hanger source 4
SUGI 1990 Mortar and Bricks: Using Basic SAS System Procedures to Manipulate Your Data Peter Kretzman source 8
SUGI 1990 Tips and Tricks on Rearranging and Manipulating Data and Datasets for Efficient Data Processing and Output Generation Donald D.M. Tong,
Thomas E. Schneider,
Pan-Yu Lai		 source 4
SUGI 1990 Using SAS/GRAPH Software to Analyze Student Study Habits Bill Wallace source 6
SUGI 1989 Using the SAS System to Produce the Directory of Texas Manufacturers Sylvia Cook source 3
SUGI 1989 Using the TRANSPOSE Procedure to Effectively Present Survey Results Karen Montefiori,
Emily M. Passino		 source 6
SUGI 1987 PROC TRANSPOSE - A Powerful Tool for Data Restructuring Bernarr Pardo source 3
SUGI 1987 Utilization of SAS Software to Solve Transportation Problems Jack Hudson Jr.,
Ginner Weatherby		 source 6
SUGI 1986 Getting More from PROC PRINT William R. MacHose source 1
SUGI 1985 More Efficient Data Storage when PROC TRANSPOSE is Used for Displaying the Output Lynn T. Julian,
Donald D.M. Tong		 source 6
SUGI 1985 SAS QUOTE: SAS Software With Costing/Pricing Systems Sam Morris source 6
SUGI 1985 The SUMMSTAT Macro: Getting More Mileage Out of PROC SUMMARY Michael D. Rhoads source 6
SEUGI 1984 Implementing Shift Rosters Dick te Winkel,
Erik W. Tilanus		 source 4
SUGI 1984 A Phosphate Product Mix Model Using the LP Procedure Agnes Eggleston source 5
SUGI 1983 A Dynamic Report Writer: Fitting One Structure to Multiple Outputs Jesse Gary,
Ann Kennedy Handler		 source 6
SUGI 1982 Transposing Data Donald J. Henderson source 7

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