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999 papers and 15 presentations; 842 titles.

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Conference × Year × Title × Authors Extras Pages
WUSS 2026 PROC SORT (then and) NOW Derek P. Morgan source 11
WUSS 2026 SAS Essentials III: Introduction to SAS Procedures [presentation] Susan J. Slaughter source 52
PharmaSUG 2026 Do One Task, Get Another Done for Free: Use DEFX Tags in Comments to Fill Out Your define.xml Brendan Bartley,
Megan Hinger		 source 21
PharmaSUG 2026 DOSEON: Fuzzy Matching DOSE Date Intervals ON Analysis Dates Across SAS (PROC SQL, SAS Macro, DATA Step, and PROC FCMP) Inka Leprince,
Troy Martin Hughes		 source 39
PharmaSUG 2026 Efficiency Techniques in SAS 9.4 Stephen B. Sloan source 9
PharmaSUG 2026 Goodbye SAS, Hello R: Practical Workflows for CDISC Standards Madeleine Penniston,
Alyssa M. Wittle		 source 12
PharmaSUG 2026 Has your SAS being 'MEAN' to your data yet? Ruth Marisol Rivera Barragan,
Isaac Vazquez		 source 8
PharmaSUG 2026 SAS Performance Tuning Techniques (From Slow to Scalable) Kirk Paul Lafler source 18
PharmaSUG 2026 SAS Programming techniques for efficiency and code optimization Jayanth Iyengar source 27
PharmaSUG 2026 Understanding Administrative Healthcare Datasets using SAS programming tools Jayanth Iyengar source 25
PHUSE US 2026 Fuzzy Matching DOSE Date Intervals ON Analysis Dates Across SAS (DATA Step, PROC SQL, SAS Macro, and PROC FCMP) Inka Leprince,
Troy Martin Hughes		 source
presentation source		 32
PHUSE APAC 2026 Don't Loop - Hash! Slashing Clinical Merge Times with Five-Line In Memory SAS Lookups Hayk Nazaryan source
presentation source		 5
PHUSE APAC 2026 SAS to R: CHEAT SHEET - A Practical Guide for Clinical Programmers Lekitha JK,
Jalendhar Ettedi		 source
poster source		 24
PHUSE EU 2025 Micro-Decisions, Macro Impact: The Role of Agile Thinking in Every Line of Code Eswara Satyanarayana Gunisetti source
presentation source		 5
MWSUG 2025 Conducting Survival Analysis in SAS using Medicare Claims as a Real-world data source Jayanth Iyengar source 32
MWSUG 2025 Dashboards Made Easy Using SAS Software Kirk Paul Lafler source 42
MWSUG 2025 Validate the Code, not just the Data : A System for SAS program evaluation Jayanth Iyengar source 38
SESUG 2025 AP Statistics and SaS Immanuel Pulavarti 8
SESUG 2025 Dashboards Made Easy Using SAS Software Kirk Paul Lafler 42
SESUG 2025 Efficiency Techniques in SAS 9 Stephen B. Sloan 9
WUSS 2025 Conducting Survival Analysis in SAS using Medicare Claims as a Real-world data source Jayanth Iyengar source 32
WUSS 2025 SAS Essentials III: Introduction to SAS Procedures [presentation] Susan J. Slaughter source 47
WUSS 2025 Validate the Code, not just the Data : A System for SAS program validation Jayanth Iyengar source 38
PharmaSUG 2025 Better, Faster, Stronger: A Case Study in Updating SAS Macro Code with Run-time Optimization in Mind Valerie Finnemeyer source 10
PharmaSUG 2025 Conducting Survival Analysis in SAS using Medicare Claims as a Real-world data source Jayanth Iyengar source 32
PharmaSUG 2025 Efficiency Techniques in SAS 9 Stephen B. Sloan source 9
PharmaSUG 2025 Integrating SAS DDE to Automate Excel Task Tracking in Pharmaceutical Statistical Programming Amy Zhang,
Huei-Ling Chen		 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
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
PharmaSUG 2025 When PROC SORT Isn-t Enough: Implementing Horizontal Sorting in SAS Krutika Parvatikar,
Jeff Xia		 source 5
MWSUG 2024 A General Review of Fuzzy Matching Techniques and Their Capabilities Using SAS Kirk Paul Lafler source 31
MWSUG 2024 Best Practices for Efficiency and Code Optimization in SAS programming Jayanth Iyengar source 20
MWSUG 2024 Dashboards Made Easy Using SAS Software Kirk Paul Lafler source 42
MWSUG 2024 List Processing using SQL Select Into to Replace Call Symputx Creating Indexed Arrays of Macro Variables Ronald J. Fehd source 13
PHUSE EU 2024 How to Optimise Your SAS Code: Tips and Tricks Vismaya Kondassam Veedu source
presentation source		 16
PHUSE EU 2024 Resolving algorithmic SMQs - using AI chatbot and other techniques Corentin Le Scanff source
presentation source		 21
SESUG 2024 Building Amazing Dashboards Using SAS Software Kirk Paul Lafler,
Joshua J. Cook		 source 42
SESUG 2024 Utilizing SAS to Create HTML Codebooks: Part Two! William Zachary Smith source 12
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 2024 LAST CALL to Get Tipsy with SAS: Tips for Using CALL Subroutines Lisa A. Mendez,
Richann J. Watson		 source 20
WUSS 2024 PROC SORT (then and) NOW Derek P. Morgan source 11
PharmaSUG CN 2024 Enhancing SAS Programming Efficiency with Large Language Models (LLMs) Guangyong Li,
Junkai Zhao		 source 15
PharmaSUG 2024 LAST CALL to Get Tipsy with SAS: Tips for Using CALL Subroutines Lisa A. Mendez,
Richann J. Watson		 source 20
PharmaSUG 2024 Leveraging ChatGPT in Statistical Programming in the Pharmaceutical Industry Ian Sturdy source 24
PharmaSUG 2024 Plotting Data by US ZIP Code David W. Franklin source 4
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
PharmaSUG 2024 Understanding Administrative Healthcare Datasets using SAS programming tools Jayanth Iyengar source 25
PHUSE US 2024 Accelerating Clinical Trial Submissions with Graph Theory and Log Analysis [presentation] Henning Kuich,
Tomás Sabat Stofsel		 source 42
PHUSE US 2024 It is Time to Get Answers: Handling Questionnaire Data in Respiratory Studies Valeriia Oreshko source
presentation source		 10
WUSS 2023 Application of Fuzzy Matching Techniques Using SAS Software Kirk Paul Lafler,
Stephen B. Sloan		 source 30
WUSS 2023 List Processing using SQL Select Into to Replace Call Symputx Creating Indexed Arrays of Macro Variables Ronald J. Fehd source 13
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 Best Practices for Efficiency and Code Optimization in SAS programming Jayanth Iyengar source 20
SESUG 2023 List Processing using SQL Select Into to Replace Call Symputx Creating Indexed Arrays of Macro Variables Ronald J. Fehd source 13
SESUG 2023 Understanding Administrative Healthcare Datasets using SAS programming tools Jayanth Iyengar source 25
SESUG 2023 Utilizing SAS to Create HTML Codebooks William Zachary Smith source 10
PharmaSUG 2023 A Quick Look at Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan,
Kirk Paul Lafler		 source 29
PharmaSUG 2023 Best Practices for Efficiency and Code Optimization in SAS programming Jayanth Iyengar source 20
PharmaSUG 2023 Put on the SAS Sorting Hat and Discover Which Sort is Best for You! Charu Shankar,
Louise S. Hadden		 source 8
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
PharmaSUG 2023 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 4
PharmaSUG 2023 Understanding Administrative Healthcare Datasets using SAS programming tools Jayanth Iyengar source 24
PHUSE US 2023 Graph Designer: An R Shiny Application to Create Publication-quality Graphs in Minutes Mukul K Mittal source
presentation source		 10
SESUG 2022 Application of Fuzzy Matching Techniques Using SAS Software - A Panel Discussion Kirk Paul Lafler,
Stephen B. Sloan		 source 30
SESUG 2022 Finding Duplicate Names and Addresses in Your Consumer Database Joe DeShon source 6
SESUG 2022 Offensive Programming: A Threesome of Error-Throwing Macros Quentin McMullen source 20
SESUG 2022 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 5
WUSS 2022 Application of Fuzzy Matching Techniques Using SAS Software - A Panel Discussion Kirk Paul Lafler,
Stephen B. Sloan		 source 30
WUSS 2022 Best Practices for Efficiency and Code Optimization in SAS programming Jayanth Iyengar source 21
WUSS 2022 PROC SORT (then and) NOW Derek P. Morgan source 11
WUSS 2022 Quick Jumpstart into Pharmaceutical SAS Programming Jim Box,
Matthew J. Becker		 source 7
WUSS 2022 Understanding Administrative Healthcare Datasets using SAS programming tools Jayanth Iyengar source 24
PharmaSUG 2022 A Quick Look at Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan,
Kirk Paul Lafler		 source 29
PharmaSUG 2022 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 5
PharmaSUG 2022 Understanding Administrative Healthcare Datasets using SAS programming tools Jayanth Iyengar source 24
PHUSE EU 2021 SAS Formats On The Fly Using ADaM Datasets [presentation] John Hendrickx source
video		 12
SESUG 2021 A Quick Look at Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan,
Kirk Paul Lafler		 source 28
SESUG 2021 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 4
SESUG 2021 Yo Mama is Broke Cause Yo Daddy is Missing: Autonomously and Responsibly Responding to Missing or Invalid SAS Data Sets Through Exception Handling Routines Troy Martin Hughes source 11
PHUSE US 2021 Metadata-based Auto-programming by Python and SAS [presentation] Harry Chen source
video		 10
PharmaSUG 2021 A Quick Look at Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan,
Kirk Paul Lafler		 source 28
PharmaSUG 2021 A Unique Way to Identify the Errors in SDTM Annotations Using SAS Xingxing Wu,
Bala Dhungana		 source 9
PharmaSUG 2021 Mashing Two Datasets Together David W. Franklin source 5
PharmaSUG 2021 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 4
PharmaSUG 2021 Understanding Administrative Healthcare Datasets using SAS programming tools Jayanth Iyengar source 24
PharmaSUG 2021 Yo Mama is Broke Cause Yo Daddy is Missing: Autonomously and Responsibly Responding to Missing or Invalid SAS Data Sets Through Exception Handling Routines Troy Martin Hughes source 11
SGF 2021 Twenty Ways to Run Your SAS Programs Faster and Use Less Space Stephen B. Sloan source 4
PHUSE EU 2020 Fairy-tale of Procedure: Proc Sort Soujanya Konda source
video
presentation source		 14
PHUSE EU 2020 Migrating Your Clinical Development Environment to the Cloud [presentation] Antoine Maison,
Daniel Christen		 source
video		 19
PHUSE EU 2020 SAS Studio - Time to Move on from Display Manager and Enterprise Guide [presentation] Andy Bayliss source
video		 18
SESUG 2020 An Introduction to SAS DATA Step Hash Programming Kirk Paul Lafler source 12
SESUG 2020 Controlling the Order of Data in SAS Imelda C. Go source 9
SESUG 2020 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 4
SGF 2020 A Hands-on Introduction to SAS Hash Programming Techniques Kirk Paul Lafler source 13
SGF 2020 Accelerate DATA Step BY-Group Processing in SAS Viya Jason Secosky,
David Bultman		 source 14
SGF 2020 Best Practices for Converting SAS Code to Leverage CAS Steven Sober,
Brian Kinnebrew		 source 11
SGF 2020 Best Practices in SAS Programming to Support Ever-Increasing Data Loads. John Schmitz source 15
SGF 2020 Do More with Less: Programming Efficiently with Keyboard Macros Breanne Young source 7
SGF 2020 Twenty Ways to Run Your SAS Programs Faster and Use Less Space Stephen B. Sloan source 5
PharmaSUG 2020 'This Is Not the Date We Need. Let's Backdate': An Approach to Derive First Disease Progression Date in Solid Tumor Trials Girish Kankipati,
Boxun Zhang		 source 11
PharmaSUG 2020 Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan,
Kirk Paul Lafler		 source 28
PharmaSUG 2020 Generating ADaM compliant ADSL Dataset by Using R Vipin Kumpawat,
Lalitkumar Bansal		 source 9
PharmaSUG 2020 MKADRGM: A Macro to Transform Drug-Level SDTM Data into Traceable, Regimen-Level ADaM Data Sets Sara McCallum source 34
PharmaSUG 2020 Principal Stratum strategy for handle intercurrent events: a causal estimand to avoid biased estimates Andrea Nizzardo,
Giovanni Marino Merlo,
Simona Scartoni		 source 13
PharmaSUG 2020 Python-izing the SAS Programmer 2: Objects, Data Processing, and XML Mike Molter source 18
PharmaSUG 2020 Sometimes SQL Really Is Better: A Beginner's Guide to SQL Coding for DATA Step Users Brett Jepson source 16
PharmaSUG 2020 Transpose Procedure: Turning it Around Again Janet E. Stuelpner source 8
PharmaSUG 2020 Yo Mama is Broke Cause Yo Daddy is Missing: Autonomously and Responsibly Responding to Missing or Invalid SAS Data Sets Through Exception Handling Routines Troy Martin Hughes source 11
PHUSE US 2020 Generating TFLs in R - Challenges and Successes Compared to SAS Amol Wayker,
Andrew Miskell		 source
presentation source		 10
PHUSE US 2020 Is R language reliable and efficient tool for programming SAS datasets or just art for art's sake? Piotr Podlewski source
presentation source		 9
PHUSE EU 2019 Big SAS Code Navigation and Management Fred Ross,
Jessica Whittaker-Dixon		 source
presentation source		 8
PHUSE EU 2019 Deriving Line of Therapy: An Algorithmic Approach in a Real-world Oncology Database Matthew Thompson source
presentation source		 12
PHUSE EU 2019 Innovative SQLs Joseph Murphy source
presentation source		 8
SESUG 2019 Exploring Efficiency in Data Manipulation with SAS: How to Get the Most Out of My Software and Hardware Jonathan W. Duggins source 10
SESUG 2019 PROC SQL for PROC SUMMARY Stalwarts Christianna S. Williams source 18
SESUG 2019 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 4
SESUG 2019 You're Doing It Wrong! Volume 002 Shane Rosanbalm source 7
SCSUG 2019 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 6
MWSUG 2019 Understanding Administrative Healthcare Datasets using SAS programming tools Jayanth Iyengar 24
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 Freq Out - Proc Freq's Quick Answers to Common Questions Christine McNichol source 8
PharmaSUG 2019 It's All About the Base-Procedures Jane Eslinger source 20
PharmaSUG 2019 PROC SORT (then and) NOW Derek P. Morgan source 10
PharmaSUG 2019 Proc Sort Revisited Alex Chaplin source 13
PharmaSUG 2019 Put on the SAS Sorting Hat and Discover Which Sort is Best for You! Louise S. Hadden,
Charu Shankar		 source 8
PharmaSUG 2019 Python-izing the SAS Programmer Mike Molter source 19
PharmaSUG 2019 SAS V9.4 MNAR statement for multiple imputations for missing not at random in longitudinal clinical trials Lingling Li source 11
PharmaSUG 2019 Ushering SAS Emergency Medicine into the 21st Century: Toward Exception Handling Objectives, Actions, Outcomes, and Comms Troy Martin Hughes source 24
SGF 2019 A Selective Overview of Panel Data with Applications in SAS Oral Capps source 26
SGF 2019 It's All About the Base-Procedures Jane Eslinger source 21
SGF 2019 SAS and Teradata: SEe the Advances Heather Burnette,
Greg Otto,
Salman Maher		 source 15
SGF 2019 Simple Techniques to Improve the Performance of your SAS Programs When Processing Large Data Sets Steve Cavill source 20
SGF 2019 Sometimes SQL Really Is Better: A Beginner's Guide to SQL Coding for DATA Step Users Brett Jepson source 17
SGF 2019 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 6
SCSUG 2018 A Hands-on Introduction to SAS DATA Step Hash Programming Techniques Kirk Paul Lafler source 12
PHUSE EU 2018 Time Management: Programming Techniques to Positively Impact Runtimes Ian Sanderson source
presentation source		 9
SESUG 2018 From CSV to SAS: Dealing with Empty Fields and Repeated Observations Kelly D. Smith,
Paul G. Earls		 source 7
SESUG 2018 Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan source 29
SESUG 2018 Matching SAS Data Sets with Hash Objects: If at First You Don't Succeed, Match, Match Again Imelda C. Go source 5
SESUG 2018 Sorting Arrays Using the Hash Object Paul M. Dorfman source 17
SESUG 2018 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 4
MWSUG 2018 A Quick Look at Fuzzy Matching Programming Techniques Using SAS Software Kirk Paul Lafler,
Stephen B. Sloan		 28
MWSUG 2018 Understanding Administrative Healthcare Datasets using SAS programming tools Jayanth Iyengar 24
WUSS 2018 Introduction to SAS Procedures: SAS Basics III [presentation] Susan J. Slaughter source 46
WUSS 2018 PROC SORT (then and) NOW Derek P. Morgan source 10
PharmaSUG 2018 define.xml (noun): Fear Inducing Task for SAS Programmers Kjersten Offenbecker,
Antonio Cardozo,
Kirsty R. Lauderdale		 source 17
PharmaSUG 2018 Discover the Deeper DATA Step Timothy J. Harrington source 14
PharmaSUG 2018 Expand Your Skills from SAS to R with No Complications Andrii Korchak source 12
PharmaSUG 2018 Exploring techniques of using multiple SET statements in a DATA step Yizhong Huang source 10
PharmaSUG 2018 Get Your Sort On: Macro Driven Method for Automated Unique Sorting Kevin Miller source 3
PharmaSUG 2018 Global checklist to QC SDTM Lab data Murali Marneni,
Sekhar Badam		 source 10
PharmaSUG 2018 Pinching Off Your SAS Log: Adapting from Loquacious to Laconic Logs To Facilitate Near-Real Time Log Parsing, Performance Analysis, and Dynamic Data-Driven Design and Optimization Troy Martin Hughes source 26
PharmaSUG 2018 SAS Macros of Performing Look-Ahead and Look-Back Reads Yanhong Liu source 10
SGF 2018 Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan,
Kirk Paul Lafler		 source 24
SGF 2018 PROC SORT (then and) NOW Derek P. Morgan source 10
SGF 2018 Run-Time Validation of SAS Jobs: A Threesome of Error-Throwing Macros Quentin McMullen source 18
SGF 2018 SASLint: A SAS Program Checker Igor Khorlo source 16
SGF 2018 Test-Driven Data Science: Writing Unit Tests for SASPy Python Data Processes Stephen Siegert source 16
SGF 2018 Using Information Value, Information Gain, and Gain Ratio for Detecting Two-Way Interaction Effect Alec Zhixiao Lin source 19
SESUG 2017 A Hands-on Introduction to SAS DATA Step Hash Programming Techniques Kirk Paul Lafler source 12
SESUG 2017 Beginner Beware: Hidden Hazards in SAS Coding Alissa Wise source 7
SESUG 2017 Data Analysis and Storytelling - Communicating Analytical Results with Clarity, Precision and Efficiency Kirk Paul Lafler source 10
SESUG 2017 Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan,
Kirk Paul Lafler		 source 25
SESUG 2017 Identifying and Removing Subjects with Duplicates in Long Data Format: A Simple Approach Using PROC SORT and PROC SQL Szu-Fu Chao source 5
SESUG 2017 Pinching Off Your SAS Log: Adapting from Loquacious to Laconic Logs To Facilitate Near-Real Time Log Parsing, Performance Analysis, and Dynamic Data-Driven Design and Optimization Troy Martin Hughes source 25
SESUG 2017 Quality Control in SAS: Checking Input, Work, and Output Aaron Brown source 11
SCSUG 2017 Data Analysis and Storytelling - Communicating Analytical Results with Clarity, Precision and Efficiency Kirk Paul Lafler source 10
SCSUG 2017 Fuzzy Matching Programming Techniques Using SAS Software Kirk Paul Lafler,
Stephen B. Sloan		 source 25
SCSUG 2017 Removing Duplicates Using SAS Kirk Paul Lafler source 9
PHUSE EU 2017 Lint: A SAS Program Checker Igor Khorlo source
presentation source		 15
PHUSE EU 2017 Programming Solutions when Developing a Database Compare Macro Michael S Rimler source
presentation source		 8
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 An Easy Way to Split a SAS Data Set into Unique and Non-Unique Row Subsets Thomas E. Billings source 8
WUSS 2017 Data Exploration for Sweet Spots by Using Heat Maps in SAS Alec Zhixiao Lin source 7
WUSS 2017 Introduction to SAS Procedures: SAS Basics III Susan J. Slaughter 40
WUSS 2017 Pinching Off Your SAS Log: Shifting the Perception of "SAS Logs" from a Post Hoc Validation Used Haplessly and Often Too Late...to a Dynamic Quality Control That Drives Exception Handling and Program Flow Troy Martin Hughes source 26
PharmaSUG CN 2017 Assigning VISITNUM and EPOCH [presentation] Na Duan,
Ru He		 32
PharmaSUG 2017 Analyzing Singly Imputed Utility Based Weighted Scores Using EQ-5D for Determining Patients' Quality of Life in Oncology Studies Vamsi Krishna Medarametla,
Liz Thomas,
Gokul Vasist		 source 9
PharmaSUG 2017 Multiple Imputation: A Statistical Programming Story Christopher J. Smith,
Scott Kosten		 source 16
PharmaSUG 2017 Power of Interleaving and RETAIN Combination in Data Manipulation Zongming Pan source 10
SGF 2017 Automatically Map CDASH Data to the Study Data Tabulation Model (SDTM) Structure Hao Xu,
Hong Chen		 source 18
SGF 2017 Data Validation Using the SAS SORT Procedure and MERGE Statement Barry Frye source 11
SGF 2017 Removing Duplicates Using SAS Kirk Paul Lafler source 9
SGF 2017 So You Think You Can Combine Data Sets? Christopher J. Bost source 23
SESUG 2016 A Short Introduction to Longitudinal and Repeated Measures Data Analyses Leanne Goldstein source 19
SESUG 2016 An Introduction to SAS Hash Programming Techniques Kirk Paul Lafler source 12
SESUG 2016 Sorting a Bajillion Records: Conquering Scalability in a Big Data World Troy Martin Hughes source 29
SESUG 2016 Spawning SAS Sleeper Cells and Calling Them into Action: Implementing Distributed Parallel Processing in the SAS University Edition Using Commodity Computing To Maximize Performance Troy Martin Hughes source 17
PHUSE EU 2016 Perish the Sort: Using Indexes and Hash Objects for Efficient Programming Jason Smith source
presentation source		 8
MWSUG 2016 A Hands-on Introduction to SAS DATA Step Hash Programming Techniques Kirk Paul Lafler 12
MWSUG 2016 Removing Duplicates Using SAS Kirk Paul Lafler 9
MWSUG 2016 SAS Advanced Programming with Efficiency in Mind: A Real Case Study Lingqun Liu 10
MWSUG 2016 Sorting a Bajillion Records: Conquering Scalability in a Big Data World Troy Martin Hughes 29
PharmaSUG CN 2016 Use Hash to reduce run time [presentation] Xiaotian Wu,
Yu Zhu		 17
WUSS 2016 Handling longitudinal data from multiple sources: experience with analyzing kidney disease patients Elani Streja,
UC Irvine,
Melissa Soohoo		 source 6
WUSS 2016 Identifying Duplicates Made Easy Yunin Ludena,
Elizabeth Guerrero Angel		 source 5
WUSS 2016 Sorting a Bajillion Records: Conquering Scalability in a Big Data World Troy Martin Hughes source 29
WUSS 2016 Ushering SAS Emergency Medicine into the 21st Century: Toward Exception Handling Objectives, Actions, Outcomes, and Comms Troy Martin Hughes source 23
PharmaSUG 2016 Macro to get data from specific cutoff period Kiranmai Byrichetti,
Jeffrey Johnson		 source 11
PharmaSUG 2016 Removing Duplicates Using SAS Kirk Paul Lafler source 3
SGF 2016 A Short Introduction to Longitudinal and Repeated Measures Data Analyses Leanne Goldstein source 19
SGF 2016 Analyzing the Hospital Episode Statistics Data Set: How Much Does SAS Help? Violeta Balinskaite source 9
SGF 2016 Case Study: SAS Visual Analytics Dashboard for Pollution Analysis Viraj R Kumbhakarna source 12
SGF 2016 Do It Yourself (DIY) Data: Creating a Searchable Data Set of Available Classrooms using SAS Enterprise BI Server Nicole Jagusztyn source 6
SGF 2016 Finding the One: Using SAS Code and SAS Data Quality Server to Create a Matched Record Elena Shtern,
Kim Hare		 source 25
SGF 2016 How to Maintain Happy SAS 9 Users Margaret A. Crevar source 11
SGF 2016 Increasing Efficiency by Parallel Processing Shuhua Liang source
presentation		 8
SGF 2016 Omitting Records with Invalid Default Values Lily Yu source
zip		 6
SGF 2016 Product Purchase Sequence Analyses by Using a Horizontal Data Sorting Technique Justin Jia,
Shan Shan Lin		 source
presentation		 11
SGF 2016 Sorting a Bajillion Records: Conquering Scalability in a Big Data World Troy Martin Hughes source
presentation		 29
SGF 2016 Transformers: Revenge of the PROCs Faron Kincheloe source 11
SGF 2016 Using SAS Comments to Run SAS Code in Parallel Jingyu She,
Tomislav Kajinic		 source 17
SCSUG 2015 An Introduction to SAS Hash Programming Techniques Kirk Paul Lafler source 8
MWSUG 2015 Basic SAS PROCedures for Quick Results Kirk Paul Lafler 19
MWSUG 2015 Improving Data Collection Efficiency And Programming Process Flow Using SAS Enterprise Guide With Epi Info Chad Wetzel,
Anne O'Keefe,
Justin Frederick		 9
MWSUG 2015 Introduction to PROC SQL Jennifer First-Kluge 13
MWSUG 2015 Table Lookup Techniques: From the Basics to the Innovative Arthur L. Carpenter 11
MWSUG 2015 Ushering SAS Emergency Medicine into the 21st Century: Toward Exception Handling Objectives, Actions, Outcomes, and Comms Troy Martin Hughes 23
PHUSE EU 2015 Getting the Most Out of Keys - Using Hash Components to Select, Subset or Summarise Pamela J. Giese source
presentation source		 8
PHUSE EU 2015 SQL by Example: A Comparative Introduction to PROC SQL Jeanina M. Worden source
presentation source		 7
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 Removing Duplicates Using SAS Removing Duplicates source 4
SESUG 2015 Reporting of treatment emergent adverse events based on pooled data Analysis or Country Specific Submissions: A case study Sheetal Shiralkar source 8
WUSS 2015 A Short Introduction to Longitudinal and Repeated Measures Data Analyses Leanne Goldstein source 19
WUSS 2015 Basic SAS PROCedures for Quick Results Kirk Paul Lafler source 19
WUSS 2015 SAS Macro Programming for Beginners Lora D. Delwiche,
Susan J. Slaughter		 source 12
WUSS 2015 Why Aren't Exception Handling Routines Routine? Toward Reliably Robust Code through Increased Quality Standards in Base SAS Troy Martin Hughes source 15
PharmaSUG CN 2015 Fifty Shades of Sorting Haibin Shu,
Elena Rojco,
John He		 6
PharmaSUG 2015 Getting the Most Out of PROC SORT: A Review of Its Advanced Options Max Cherny source 6
PharmaSUG 2015 Improving Data Quality - Missing Data Can Be Your Friend! Julie Chen source 12
PharmaSUG 2015 Looking Beneath the Surface of Sorting Andrew T. Kuligowski source 10
PharmaSUG 2015 PROC TRANSPOSE For Fun And Profit John J. Cohen source 18
PharmaSUG 2015 Sorting big datasets. Do we really need it? Daniil Shliakhov source 6
SGF 2015 A Quick View of SAS Views Elizabeth Axelrod source 7
SGF 2015 Driving SAS with Lua Paul Tomas source 16
SGF 2015 Efficiently Using SAS Data Views Shigui Weng,
Shy Degrace,
Ya Jiun Tsai		 source 16
SGF 2015 From a One-Horse to a One-Stoplight Town: A Base SAS Solution to Preventing Data Access Collisions Using Shared and Exclusive File Locks Troy Martin Hughes source 18
SGF 2015 How to Maintain Happy SAS Users: A SAS Environment Primer for IT Professionals Margaret A. Crevar source 11
SGF 2015 PROC SQL for PROC SUMMARY Stalwarts Christianna S. Williams source 19
SGF 2015 Structuring your SAS Applications for Long-Term Survival: Reproducible Methods in Base SAS Programming Paul Thomas source
zip		 13
SGF 2015 Survey Sample Designs for Auditing, Fraud, and Forensics. Turner Bond source 13
SGF 2015 Table Lookup Techniques: From the Basics to the Innovative Arthur L. Carpenter source 11
SGF 2015 Using SAS/STAT Software to Implement a Multivariate Aadaptive Outlier Detection Approach to Distinguish Outliers from Extreme Values Paulo Macedo source 12
SGF 2015 Why Aren't Exception Handling Routines Routine? Toward Reliably Robust Code through Increased Quality Standards in Base SAS Troy Martin Hughes source 17
SCSUG 2014 Basic SAS PROCedures for Producing Quick Results Kirk Paul Lafler 19
SESUG 2014 A Quick View of SAS Views Elizabeth Axelrod source 7
SESUG 2014 Hidden in plain sight: my top ten underpublicized enhancements in SAS Versions 9.2 and 9.3 Bruce F. Gilsen source 12
SESUG 2014 PROC SQL for PROC SUMMARY Stalwarts Christianna S. Williams source 18
SESUG 2014 PROC TRANSPOSE For Fun And Profit John J. Cohen source 18
MWSUG 2014 Basic SAS PROCedures for Quick Results Kirk Paul Lafler 18
MWSUG 2014 SAS 101 For Newbies--Not Too Little, Not Too Much--Just Right Ira Shapiro 42
MWSUG 2014 Using Cardinality Ratio for Fast Data Review Ronald J. Fehd 16
MWSUG 2014 WHERE, Oh, WHERE Art Thou? A Cautionary Tale for Using WHERE Statements and WHERE= Options Britney D. Gilbert 4
MWSUG 2014 Why Aren't Exception Handling Routines Routine? Toward Reliably Robust Code through Increased Quality Standards in Base SAS Troy Martin Hughes 14
WUSS 2014 A Practical Approach to Process Improvement Using Parallel Processing Viraj R Kumbhakarna source 16
WUSS 2014 An Introduction to SAS Hash Programming Techniques Kirk Paul Lafler source 8
WUSS 2014 SAS Essentials II (or How to Train Your SAS Data Sets) Tasha Chapman source 12
WUSS 2014 Table Lookup Techniques: From the Basics to the Innovative Arthur L. Carpenter source 11
WUSS 2014 The Evolution of SAS Programs Used to Analyze Judicial Salaries Humberto Cisneros,
Carrin Huff		 source 12
WUSS 2014 Using Cardinality Ratio for Fast Data Review Ronald J. Fehd source 15
PharmaSUG 2014 Efficient SQL for Pharma ... and Other Industries Christopher R. Olinger source 15
PharmaSUG 2014 Macro to check Audit compliance and standards of SAS programs Seeja Shetty source 11
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 Principles of Writing Readable SQL Kenneth W. Borowiak source 9
PharmaSUG 2014 Streamline the Dual Antiplatelet Therapy Record Processing in SAS by Using Concept of Queue and Run-Length Encoding Kai Koo source 6
PharmaSUG 2014 Table Lookup Techniques: From the Basics to the Innovative Arthur L. Carpenter source 11
PharmaSUG 2014 The SAS LOCALE Option: Win an international passport for your SAS code Xiaojin Qin source 8
PharmaSUG 2014 WHERE, Oh, WHERE Art Thou? A Cautionary Tale for Using WHERE Statements and WHERE= Options Britney D. Gilbert source 4
SGF 2014 Basic SAS PROCedures for Producing Quick Results Kirk Paul Lafler source 18
SGF 2014 Using Sorting Algorithms to Create Sorted Lists Matthew Neft,
Chelle Pronko		 source 5
SGF 2014 You Can Have It All: Building Cumulative Data sets Myra A. Oltsik source 18
WUSS 2013 Constructing Begin-End Date Intervals from Event or As-of Dates in a SAS DATA Step Thomas E. Billings source 8
WUSS 2013 Flexibility by Design: A Look at New and Updated System Options in SAS 9.4 Jan Squillace source 16
WUSS 2013 Matching with Hash Objects Gregory Watson source 6
SCSUG 2013 The Concepts and Practice of Analysis with SAS Enterprise Guide Christopher W. Schacherer source 48
SCSUG 2013 Using SAS to Build Customer Level Datasets for Predictive Modeling Scott M. Shockley source 14
SESUG 2013 A Few Usefull Tips When Working with SAS Milorad Stojanovic source 5
SESUG 2013 A Practical Approach to Process Improvement Using Parallel Processing Viraj R Kumbhakarna source 16
SESUG 2013 Averaging Numerous Repeated Measures in SAS Using DO LOOPS and MACROS: A Demonstration Using Dietary Recall Data Kendra Jones,
Kyla Shelton		 source 6
SESUG 2013 Coding For the Long Haul With Managed Metadata and Process Parameters Mike Molter source 20
SESUG 2013 Dup, Dedup, DUPOUT Heidi Markovitz source 5
SESUG 2013 Handling Data with Multiple Records per Subject: 4 Quick Methods to Pull Only the Records You Want Elizabeth Leslie,
Kaiser Permanente		 source 7
SESUG 2013 Tailoring Proc Summary for More Efficient Summarizations Bill Parman source 8
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 Increase Your Productivity by Doing Less Arthur S. Tabachneck,
Xia Ke Shan,
Robert Virgile,
Joe Whitehurst		 6
NESUG 2013 A Quick View of SAS Views Elizabeth Axelrod 7
NESUG 2013 Alternative Methods for Sorting Large Files without Leaving a Big Disk Space Footprint Rita Volya 23
NESUG 2013 Dealing with Duplicates Christopher J. Bost 6
NESUG 2013 Hidden in plain sight: my top ten underpublicized enhancements in SAS Versions 9.2 and 9.3 Bruce F. Gilsen 12
NESUG 2013 PROC TRANSPOSE For Fun And Profit John J. Cohen 18
PharmaSUG 2013 Coding For the Long Haul With Managed Metadata and Process Parameters Mike Molter source 20
PharmaSUG 2013 Let's get SASsy Amie Bissonett source 6
PharmaSUG 2013 SQL, HASH Tables, FORMAT and KEY= - More Than One Way to Merge Two Datasets David W. Franklin source 5
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 Bringing Churn Modeling Straight to the Source: SAS and Teradata In-Database Model Development Jonathan Wexler,
Karl Krycha		 source 9
SGF 2013 Cool Views Elizabeth Axelrod source 7
SGF 2013 Dealing with Duplicates Christopher J. Bost source 5
SGF 2013 Extraction, Transformation, and Loading (ETL) for Outcome Measures of Workers? Compensation Benefits Mike Maier source 10
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 Internationalization 101: Give Some International Flavor to Your SAS Applications Mickael Bouedo,
Steve Beatrous		 source 21
SGF 2013 Reordering Columns after PROC TRANSPOSE (or Anytime You Want, Really) Sau Yiu source 4
SGF 2013 SAS Essentials: Maximize the Efficiency of Your Most Basic Users Julie Kezik,
Melissa Hill		 source
pdf		 12
SGF 2013 The Concepts and Practice of Analysis with SAS Enterprise Guide Christopher W. Schacherer source 48
NESUG 2012 Checking for Duplicates Wendi L. Wright 5
NESUG 2012 Practical Application of SAS Capabilities for Pharma Goaling and Performance Review Ramya Purushothaman 15
NESUG 2012 SAS UNIX-Space Analyzer - A Handy Tool for UNIX SAS Administrators Airaha Chelvakkanthan Manickam 12
SCSUG 2012 An Introduction to SAS Hash Programming Techniques Kirk Paul Lafler source 8
SCSUG 2012 Basic SAS PROCedures for Producing Quick Results Kirk Paul Lafler source 17
SCSUG 2012 Dirty Data? Clean it up with SAS. Gabriela Cantu source 11
SCSUG 2012 Overlaying Scatter Plots on Box Plots in the Presence of Ties Charles Minard source 11
PHUSE EU 2012 The Power of PROC SQL Amanda Reilly source
presentation source		 9
PHUSE EU 2012 Understanding SAS...the SAS-sy Way! Amar Nayak source
poster source		 8
SESUG 2012 An Introduction to Criteria-based Deduplication of Records Elizabeth Heath source 5
SESUG 2012 SAS Macros and the SAS DATASETS Procedure - An Automated Approach to Dataset Management and Manipulation Chris Alexander source 5
MWSUG 2012 Base-SAS PROCedures for Quick Results Kirk Paul Lafler 17
MWSUG 2012 Creating a SAS Frequency Data Set of Valid Categorical Variables for Export to Microsoft Excel or Access Neil Kamdar 7
WUSS 2012 Basic SAS PROCedures for Producing Quick Results Kirk Paul Lafler source 17
WUSS 2012 Biology research data cleaning technical Kai Yang source 12
WUSS 2012 SAS Programming Basics: Producing Results from Your Data Helen D. Carey source 16
PharmaSUG CN 2012 Using HASH Table to reduce the use of merge for large datasets Long Fang 7
PharmaSUG 2012 7 Steps to Progression Free Survival Insights Using SAS Karen Walker source 12
PharmaSUG 2012 A SAS Tool to Allocate and Randomize Samples to Illumina Microarray Chips Huanying Qin,
Greg Stanek,
Derek Blankenship		 source 6
PharmaSUG 2012 Does NODUPKEY Select the First Record in a By Group? David W. Franklin source 3
PharmaSUG 2012 Merge vs. Join vs. Hash Objects: A Comparison using "Big" Medical Device Data James R. Johnson source 6
PharmaSUG 2012 SAS UNIX-Space Analyzer - A Handy Tool for UNIX SAS Administrators Airaha Chelvakkanthan Manickam source 12
SGF 2012 Assigning a User-Defined Macro to a Function Key Mary F. O. Rosenbloom,
Kirk Paul Lafler		 source 10
SGF 2012 Intelligent PROC SORT NODUPKEY Andrea Wainwright-Zimmerman source 5
SGF 2012 Optimized 1:N Case-Control Match Using SAS Zhiwei Wang source 5
SGF 2012 Practical Application of SAS Capabilities for Pharma Goaling and Performance Review Ramya Purushothaman source 16
SGF 2012 Reordering Values within Observations: Beyond CALL SORTC(N) Adish Jain,
Kate Bachtell		 source 11
SGF 2012 Selecting All Observations When Any Observation Is of Interest Christopher J. Bost source 5
SGF 2012 Selecting Unrestricted and Simple Random With Replacement Samples Using Base SAS and PROC SURVEYSELECT David D. Chapman source 14
SGF 2012 Take a Fresh Look at SAS Enterprise Guide: From point-and-click ad hocs to robust enterprise solutions Christopher W. Schacherer source 26
SGF 2012 Write Once, Run Anywhere! How to Make Your SAS Application Speak Many Languages Mickael Bouedo source 17
SCSUG 2011 An Introduction to SAS Hash Programming Techniques Kirk Paul Lafler source 8
SCSUG 2011 Intro to Longitudinal Data: A Grad Student "How-To" Paper Elisa L. Priest source 14
SCSUG 2011 Looking Beneath the Surface of Sorting Andrew T. Kuligowski source 10
SCSUG 2011 Take a Fresh Look at SAS Enterprise Guide: From point-and-click ad hocs to robust enterprise solutions Christopher W. Schacherer source 26
SESUG 2011 An Introduction to SAS Hash Programming Techniques Kirk Paul Lafler source 8
SESUG 2011 Intelligent PROC SORT NODUPKEY Andrea Wainwright-Zimmerman source 4
SESUG 2011 Introduction to SAS Macro Language John Myers source 7
SESUG 2011 Keeping Up Appearances: Turning Specifications into SAS Format Libraries and Statements Turning Specifications source 11
SESUG 2011 Wandering Cross-Reference Lines in PROC GPLOT Sharon Avrunin-Becker,
Marie Byrd Alexander		 source 8
WUSS 2011 Are You Taking it Day by Day or Having an Episode? Identifying and Describing Patterns in Longitudinal Data Sarah Short source 7
WUSS 2011 Assigning a User-Defined Macro to a Function Key Mary F. O. Rosenbloom,
Edwards Lifesciences		 source 8
WUSS 2011 SAS Macro Programming for Beginners Susan J. Slaughter source 12
WUSS 2011 Tips and Techniques for the SAS Programmer Helen D. Carey source 19
PHUSE EU 2011 Using R to Validate Results of Other Programming Environments Nikhil Abhyankar,
Vidyagouri Prayag		 source
presentation source		 8
MWSUG 2011 A Practical Approach to Process Improvement Using Parallel Processing Viraj R Kumbhakarna 16
MWSUG 2011 An Introduction to SAS Hash Programming Techniques Kirk Paul Lafler 8
MWSUG 2011 Application of SAS to monitoring loan defaults in consumer credit portfolios Yevhen Yankovskyy 9
MWSUG 2011 Clearing Hurdles in Report Optimization: Custom Sorting Macros, Traffic-lighting Entire Rows, and Forcing SAS Formats into Microsoft Excel Jacob Serafino,
Mitch Weiler,
Asha Jayaprakash		 9
MWSUG 2011 Dealing with Duplicates in Your Data Joshua M. Horstman,
Roger D. Muller		 7
MWSUG 2011 Take a Fresh Look at SAS Enterprise Guide: From point-and-click ad hocs to robust enterprise solutions Christopher W. Schacherer 26
NESUG 2011 Common Sense Tips and Clever Tricks for Programming with Extremely Large SAS Data Sets Kathy Hardis Fraeman 8
NESUG 2011 Don't Lose Your Data! Tracking and Reporting on Dropped Records Quentin McMullen,
Joshua Black		 9
NESUG 2011 Intelligent PROC SORT NODUPKEY Andrea Wainwright-Zimmerman 4
NESUG 2011 Programming Techniques for Optimizing SAS Throughput Steven M. Ruegsegger 11
NESUG 2011 SAS DATA Step Merge - A Powerful Tool Dalia C. Kahane 13
NESUG 2011 Selecting All Observations When Any Observation Is of Interest Christopher J. Bost 6
NESUG 2011 T.I.P.S. (Techniques and Information for Programming in SAS) Kathy Harkins,
Carolyn Maass,
Mary Anne Rutkowski		 9
NESUG 2011 Why Programming Efficiency Should Matter to All of Us John J. Cohen 15
PharmaSUG 2011 A Practical Approach to Process Improvement Using Parallel Processing Viraj R Kumbhakarna source 16
PharmaSUG 2011 An Introduction to SAS Hash Programming Techniques Kirk Paul Lafler source 8
PharmaSUG 2011 Confessions of a Clinical Programmer: Dragging and Dropping Means Never Having to Say You're Sorry When Creating SDTM Domains Janet E. Stuelpner,
Jack Shostak		 source 12
PharmaSUG 2011 Leave Your Bad Code Behind: 50 Ways to Make Your SAS Code Execute More Efficiently William E. Benjamin Jr. source 20
PharmaSUG 2011 You Want that Program to Run on the PC in New Jersey and the Unix in Basel, without Modification?? David W. Franklin source 6
SGF 2011 Best Solutions for Tuning Performance of ETL Jobs in SAS Data Integration Studio Qingfeng Liang source 10
SGF 2011 Confessions of a Clinical Programmer: Dragging and Dropping Means Never Having to Say You're Sorry When Creating SDTM Domains Janet E. Stuelpner,
Jack Shostak		 source 12
SGF 2011 Don't Waste Too Many Resources to Get Your Data in a Specific Sequence Henri Theuwissen source 19
SGF 2011 LAG Function Combined with Conditional Functions: Useful for Identifying Differences in Like Data Andrew Hummel source 8
SGF 2011 SAS DICTIONARY: Step by Step Patrick Thornton source 22
SGF 2011 SAS Macro Programming for Beginners Susan J. Slaughter,
Lora D. Delwiche		 source 12
SGF 2011 Tips and Techniques for SAS Programmers Helen D. Carey,
Ginger Carey		 source 19
SGF 2011 Using Hash Tables to Obtain Matched Post-Hoc Control Populations Jeffrey Reiss,
Elayne Reiss		 source 7
NESUG 2010 A Practical Approach to Process Improvement Using Parallel Processing Viraj R Kumbhakarna 16
NESUG 2010 An Animated guide: Suggestions for coding standards Russell M. Lavery 24
NESUG 2010 Find() the power of Hash - How, Why and When to use the SAS Hash Object John Blackwell 5
NESUG 2010 Quality Control: How to Analyze and Verify Financial Data Michelle M. Duan 5
NESUG 2010 SAS Enhanced Editor: Efficient Techniques Kathleen J. Harkins 15
NESUG 2010 Using Data Set Labels and Format Descriptions to Simplify Application Debugging Robert L. Russell 9
NESUG 2010 Using PROC RANK and PROC UNIVARIATE to Rank or Decile Variables Jonas V. Bilenas 15
NESUG 2010 You Want the Program to Run on the PC in New York, Unix in London, and That Nutty System in Manchester, without Modification?? David W. Franklin 6
SCSUG 2010 A SAS Primer for Health Care Data Analysts Christopher W. Schacherer source 24
SCSUG 2010 An Introduction to SAS Hash Programming Techniques Kirk Paul Lafler source 6
WUSS 2010 An Introduction to SAS Hash Programming Techniques Kirk Paul Lafler source 6
WUSS 2010 LOCF-Different Approaches, Same Results Using LAG Function, RETAIN Statement, and ARRAY Facility Iuliana Barbalau source 5
WUSS 2010 Tips for Constructing a Data Warehouse Part 2 Curtis A. Smith source 11
WUSS 2010 Where's The Match? Matching Cases and Controls after Data Collection Jennifer L. Waller source 6
WUSS 2010 Working with SAS Hash Objects: Automation, Tips and Pitfalls Jason Farris source 7
PHUSE EU 2010 An Animated Guide: Coding Standards for SAS Production Programs Russell M. Lavery source 24
PHUSE EU 2010 EG as an IDE, how PC is that? [presentation] John Moone source 28
MWSUG 2010 A Different View of PROC SORT Steven J. First 26
MWSUG 2010 A SAS Primer for Health Care Data Analysts Christopher W. Schacherer,
Brent D. Westra		 24
MWSUG 2010 An Introduction to SQL in SAS Peter J. Lund 21
MWSUG 2010 The Mystery of the PROC SORT Options NODUPRECS and NODUPKEY Revealed Britta KelseyBassett 4
PharmaSUG 2010 The Ins and Outs and Ups and Downs of Sorted Data Andrew T. Kuligowski 9
PharmaSUG 2010 The SE Domain as Treatment Data Store: Using the SDTM Subject Elements (SE) domain to drive analyzing treatment Jeremy Gratt 10
SGF 2010 Aggregation without Aggravation: Determining Spatial Contiguity and Joining Geographic Areas Using Hashing Gwen Babcock source 17
SGF 2010 Dear Miss SASAnswers: A Guide to Sorting Your Data Linda T. Jolley,
Jane Stroupe		 source 19
SGF 2010 Eliminating Redundant Custom Formats (or How to Really Take Advantage of PROC SQL, PROC CATALOG, and the DATA Step) Philip A. Wright source 18
SGF 2010 SAS Presents In-Database Base Procedures in Practice Scott Mebust,
Robert S. Ray		 source 25
SGF 2010 Tabular Reporting Data Standard Frederick A. Cieri source 9
SGF 2010 Using Data Set Labels and Format Descriptions to Simplify Application Debugging Robert L. Russell source 9
SGF 2010 Where Does This WHERE Statement Go? Scott Davis source 4
SCSUG 2009 SAS Programming Basics Clarence W. Jackson 10
SESUG 2009 List Processing Basics: Creating and Using Lists of Macro Variables Arthur L. Carpenter source 20
SESUG 2009 Looking Beneath the Surface of Sorting Looking Beneath source 10
SESUG 2009 Using Formats, MP Connect, and Other SAS Efficiency Techniques to save Time and Disk Space John Charles Gober,
Arumugam Sutha		 source 6
MWSUG 2009 A Class of Predictive Models for Multi-Level Risks Wensui Liu,
Chuck Vu,
Sandeep Kharidhi		 13
MWSUG 2009 Eliminating Redundant Custom Formats (or How to Really Take Advantage of PROC SQL, PROC CATALOG, and the DATA Step) Philip A. Wright 18
MWSUG 2009 List Processing Basics: Creating and Using Lists of Macro Variables Ronald J. Fehd,
Arthur L. Carpenter		 21
MWSUG 2009 Where Does This Where Go? Scott Davis 4
PNWSUG 2009 List Processing Basics: Creating and Using Lists of Macro Variables Ronald J. Fehd,
Arthur L. Carpenter		 20
NESUG 2009 A PROC SQL+Data Step Alternative to the Hash Object for Creating Multiple, Data-Driven Data Sets Michael S. Zdeb 6
NESUG 2009 The Dirty Secret Behind the Box: Why Programming Efficiency Should Matter to All of Us John J. Cohen 9
NESUG 2009 Using DATA STEP MERGE and PROC SQL JOIN to Combine SAS Datasets Dalia C. Kahane 15
NESUG 2009 Using PROC RANK and PROC UNIVARIATE to Rank or Decile Variables Jonas V. Bilenas 16
WUSS 2009 Cleaning Duplicate Observations on a Chessboard of Missing Values Mayrita Vitvitska source 6
WUSS 2009 Efficient Statistical Programming? - These Small Steps Make the Difference Keiko I. Powers source 16
WUSS 2009 If I Only Had a Map. Getting from Here to There: Common Approaches to Solving Data Step Logic Issues Kim M. Wilson source 17
WUSS 2009 List Processing Routine CallXinc: Calling Parameterized Include Programs Using a Data Set as List of Parameters Ronald J. Fehd source 20
WUSS 2009 The Power to Show: Ad Hoc Reporting, Custom Invoices, and Form Letters Daniel O'Connor source 58
SGF 2009 A Class of Predictive Models for Multi-Level Risks Wensui Liu,
Chuck Vu,
Sandeep Kharidhi		 source 13
SGF 2009 Formats, MP/Connect, and Other Efficiency Techniques to Save Time and Space John Charles Gober,
Arumugam Sutha		 source 6
SGF 2009 If I Only Had a Map. Getting from Here to There: Common Approaches to Solving Data Step Logic Issues Kim M. Wilson source 17
SGF 2009 PROC SQL and SAS Macro: Beyond the Basics Louie Huang source 8
SGF 2009 Tales from the Help Desk 3: More Solutions for Common SAS Mistakes Bruce F. Gilsen source 10
SGF 2009 The Ins and Outs and Ups and Downs of Sorted Data Andrew T. Kuligowski source 10
SGF 2009 Troubleshoot Your Performance Issues: SAS Technical Support Shows You How Michael Williams,
Gretel Easter,
Steve Bradsher		 source 12
SGF 2009 You Might Be a SAS Energy Hog If ... Michael A. Raithel,
Michael D. Rhoads		 source 15
SGF 2009 You Need to Consolidate Massive Amounts of Data? Select the Fastest Method or Go for Minimal Memory Requirements to Build Your Result Henri Theuwissen source 14
WUSS 2008 A Hands-On Introduction to SAS Programming Casey Cantrell source 21
WUSS 2008 A Sampler of What's New in Base SAS 9.2 Jason Secosky source 15
WUSS 2008 Demystifying Popular SAS Procedures. Lisa Smith source 17
WUSS 2008 E Pluribus Unum: How to Obtain One Observation from Multiple Observations by Limiting, Reshaping, and Summarizing Data Eric P. Elkin source 13
WUSS 2008 List Processing Basics: Creating and Using Lists of Macro Variables Ronald J. Fehd,
Arthur L. Carpenter		 source 20
WUSS 2008 Looping at a Higher Level - The %for Macro Jim Anderson source 9
WUSS 2008 SAS DICTIONARY: Step by Step Patrick Thornton source 20
WUSS 2008 Simple and Effective Way to Validate Clinical Graphs Rajesh Venkkataram source 10
WUSS 2008 The Essentials of Finding the Distinct, Unique, and Duplicate Values in Your Data Carter Sevick source 8
SESUG 2008 Are Your SAS Programs Running You? Marje Fecht,
Cape Coral		 source 7
SESUG 2008 Automated Data Converting of Character into Numeric Fields Mila Chiflikyan source 11
SESUG 2008 PDA Data Collection: Data Collection issues... SAS Data Step to the Rescue! Mira Shapiro source 6
SESUG 2008 T.I.P.S. (Techniques and Information for Programming in SAS) Kathleen J. Harkins,
Carolyn Maass,
Mary Anne Rutkowski		 source 11
SESUG 2008 Utilizing Hash Tables to Obtain Matched Post-Hoc Control Populations Elayne Reiss,
Jeffrey Reiss		 source 9
MWSUG 2008 A Sampler of What's New in Base SAS 9.2 Jason Secosky 15
PNWSUG 2008 A Sampler of What's New in Base SAS 9.2 Jason Secosky 15
PNWSUG 2008 Basic SAS PROCedures for Generating Quick Results Kirk Paul Lafler 16
PNWSUG 2008 List Processing Basics: Creating and Using Lists of Macro Variables Ronald J. Fehd,
Arthur L. Carpenter		 20
PNWSUG 2008 New in SAS 9.2: It's the Little Things that Count Diane Olson 7
NESUG 2008 A PROC SQL Primer Matthew Taylor 11
NESUG 2008 A Sampler of What's New in Base SAS 9.2 Jason Secosky 15
NESUG 2008 Analyzing Laboratory Assay Data for Accuracy Sara Hickson,
Jeanne Sparrow		 13
NESUG 2008 Common Sense Tips and Clever Tricks for Programming with Extremely Large SAS Data Sets Kathy Hardis Fraeman 7
NESUG 2008 Using DATA STEP MERGE and PROC SQL JOIN to Combine SAS Datasets Dalia C. Kahane 15
PharmaSUG 2008 Join, Merge or Lookup? Expanding your toolkit Judy Loren,
Sandeep Gaudana		 16
PharmaSUG 2008 So Much Data, So Little Time: Splitting Datasets For More Efficient Run Times and Meeting FDA Submission Guidelines Anthony Harris,
Robby A. Diseker		 9
PharmaSUG 2008 SQL or not SQL When Performing Many-to-Many Merge - A Realistic Example Wenjie Wang,
Jade Huang		 6
SGF 2008 Are Your SAS Programs Running You? Marje Fecht,
Larry Stewart		 source 7
SGF 2008 New in SAS 9.2: It's the Little Things that Count Diane Olson source 7
SGF 2008 Stupid Human Tricks with PROC SURVEYSELECT David L. Cassell source 5
SGF 2008 Using Data Set Values and Variable Names Outside of the DATA Step Bruce F. Gilsen source 15
NESUG 2007 Conquering the Fear of Shift Tables Monal Kohli 11
NESUG 2007 Dealing with Duplicates: Identify, Investigate and Purge Ying Feng 4
NESUG 2007 List Processing Basics: Creating and Using Lists of Macro Variables Ronald J. Fehd,
Arthur L. Carpenter		 20
NESUG 2007 The Most Important Efficiency Techniques Robert Virgile 11
NESUG 2007 The SQL Procedure: Tricks and Techniques for Efficiency and Simplicity Sreekanth Reddy Middela,
Suhas R. Sanjee		 4
NESUG 2007 Using Data Set Values and Variable Names Outside of the DATA Step Bruce F. Gilsen 15
SESUG 2007 List Processing Basics: Creating and Using Lists of Macro Variables Ronald J. Fehd,
Arthur L. Carpenter		 source 20
SESUG 2007 Sorting out the Possibilities Using Retain Tommy Retzlaff source 3
MWSUG 2007 List Processing Basics: Creating and Using Lists of Macro Variables Ronald J. Fehd,
Arthur L. Carpenter		 20
WUSS 2007 A Datum to Remember: Using the RETAIN Statement Jeanina M. Worden,
Chunmei Yang		 source 10
WUSS 2007 Advanced techniques for processing large datasets (Parallel Programming) Victor de Leon source 6
WUSS 2007 How to Avoid Commonly-Seen "Correct but Problematic SAS Programming Pitfalls Keiko I. Powers source 7
WUSS 2007 Hurry!!!, Hurry!!! Step Right UP. Use The "Magical Compound Where Clause" to Eliminate Data Steps, Reduce Processing Steps, Speed Job Turnaround, and Mystify Your Friends William E. Benjamin Jr. source 6
WUSS 2007 Is your UNIX/SAS System Healthy? Victor de Leon source 7
WUSS 2007 SAS DICTIONARY: Step by Step Patrick Thornton source 20
WUSS 2007 The SORT Procedure: Beyond the Basics David Fickbohm source 7
WUSS 2007 Time to Take the Wheel: A Hands-On Introduction to SAS Programming Casey Cantrell source 20
PHUSE EU 2007 The Good, the Bad and the Ugly of programming standard Rebecca Tootell,
Natalie Collier		 source 1
SCSUG 2007 List Processing Basics: Creating and Using Lists of Macro Variables Ronald J. Fehd,
Arthur L. Carpenter		 21
PharmaSUG 2007 Sorting out the Possibilities Using Retain Tommy Retzlaff,
Cara Woodruff		 3
SGF 2007 A Generic Method of Parallel Processing in Base SAS 8 and 9 Sassoon Kosian source 8
SGF 2007 Animating SAS/GRAPH Output-Telling a Story That Changes Over Time Stuart A. Nisbet source 7
SGF 2007 Creating Order Out of Character Chaos: Collation Capabilities of the SAS System Michael Mebust,
Scott Bridgers		 source 16
SGF 2007 Data Matching David H. Dickinson,
Wendy B. Johnson		 source 18
SGF 2007 DATA Step vs. PROC SQL: What's a Neophyte to Do? Ray Davis,
Michael L. Dickstein,
Craig Pass		 source 12
SGF 2007 Dear Miss SASAnswers: A Guide to SAS Efficiency Linda T. Jolley,
Jane Stroupe		 source 8
SGF 2007 Hurry!!!, Hurry!!! Step Right UP. Use The "Magical Compound Where Clause" to Eliminate Data Steps, Reduce Processing Steps, Speed Job Turnaround, and Mystify Your Friends William E. Benjamin Jr. source 6
SGF 2007 List Processing Basics: Creating and Using Lists of Macro Variables Ronald J. Fehd,
Arthur L. Carpenter		 source 20
SGF 2007 The Most Important Efficiency Techniques Robert Virgile source 11
SGF 2007 Two Heads Are Better Than One - Getting the Most Out of Multiprocessing Faisal Dosani source 8
SGF 2007 Using PROC FORMAT for Data Validation and Clean-Up Christianna S. Williams source 14
PNWSUG 2006 PROC SQL vs. the Data Step - Trick or Treat? Tom Aldrich 11
SCSUG 2006 An Introduction to SQL in SAS Peter J. Lund 22
PHUSE EU 2006 Duplicates or "Can you repeat that?" Lawrence Heaton-Wright source 5
PHUSE EU 2006 Sorting by formatted values Jim Groeneveld source 4
SESUG 2006 Dup, Dedup, DUPOUT - New in PROC SORT Heidi Markovitz source 5
SESUG 2006 Potential Duplicate HIV/AIDS Patient Names Across States. A CDC Puzzle Potential Duplicate source 10
WUSS 2006 Examples of Data Manipulation in SAS: Filling in "Known" Missing Data Chong Ho Yu source 5
WUSS 2006 Time to Take the Wheel: A Hands-On Introduction to SAS Programming Casey Cantrell source 20
NESUG 2006 By's Notsorted Option Karuna Samudral,
Gregory Giddings		 11
NESUG 2006 Efficient Processing of Long Lists of Variable Names Paulette W. Staum 9
NESUG 2006 Identifying Duplicate Values Christopher J. Bost 8
NESUG 2006 Let's Sudoku with SAS! Vatsala Karwe,
Patricia Seunarine,
Carol Razafindrakoto		 24
NESUG 2006 Simple Techniques to Help Trace Problems in Your Application Robert L. Russell 9
NESUG 2006 Subsetting Observations from Large SAS Data Sets Christopher J. Bost 6
NESUG 2006 Tales from the Help Desk 3: More Solutions for Simple SAS Mistakes Bruce F. Gilsen 10
PharmaSUG 2006 PROC SQL: An Efficient Tool for Creating Macro Variables Louie Huang 6
SUGI 2006 A Hands-On Introduction to SAS Basics and the SAS Display Manager Debbie Buck - SC source 12
SUGI 2006 A Strategy for Managing Data Integrity Using SAS Brett J. Peterson source 9
SUGI 2006 Finding a Duplicate in a Haystack Brett J. Peterson source 10
SUGI 2006 MISSING! - Understanding and Making the Most of Missing Data Suzanne M. Humphreys source 9
SUGI 2006 Programming with the KEEP, RENAME, and DROP Data Set Options Stephen R. Philp source 13
SUGI 2006 Project Duplication: Eradication Techniques Monal Kohli source 9
SUGI 2006 The SORT Procedure: Beyond the Basics Britta KelseyBassett source 6
SUGI 2006 Think FAST! Use Memory Tables (Hashing) for Faster Merging Gregg P. Snell source 15
PNWSUG 2005 A Sort of a Mess - Sorting Large Datasets on Multiple Keys David L. Cassell 4
PNWSUG 2005 ODS to RTF: Tips and Tricks Paul D. Hamilton 9
SESUG 2005 A Tour of the SAS Reporting Toolbox Frank C. DiIorio source 20
SESUG 2005 MXG DB2 - A Cookbook Approach Juliana Hughes source 10
SESUG 2005 The SQL Optimizer Project: _Method and _Tree in SAS 9.1 Russell M. Lavery source 57
SESUG 2005 Tuning SAS 9 for Multiuser ETL Environments Frank M. Bartucca source 12
SESUG 2005 Ways to Store Macro Source Codes and How to Retrieve Them Mirjana Stojanovic,
Donna Hollis		 source 9
SCSUG 2005 Frequently Asked Questions about SAS Indexes Billy Clifford 11
SCSUG 2005 Join, Merge or Lookup? Expanding your toolkit Judy Loren,
Sandeep Gaudana		 15
PHUSE EU 2005 Macro MDU: a flowchart of used programs, datasets and TLF's based upon the Final Run Herman Ament source 10
MWSUG 2005 Comparison Of Enterprise Miner And SAS/STAT For Data Mining Patricia B. Cerrito 12
WUSS 2005 Get It Together: Combining Data with SAS MERGE, UPDATE, and SET Mel Widawski source 12
NESUG 2005 Join, Merge or Lookup? Expanding your toolkit Judy Loren,
Sandeep Gaudana		 15
PharmaSUG 2005 Advance Tips for Manipulating Data in commonly used SAS Procedures Raj Suligavi,
Jyotheeswar N Yellanki		 11
PharmaSUG 2005 Create Your Customized Case Report Form (CRF) Tracking System Tikiri B. Karunasundera 9
PharmaSUG 2005 Retaining, Lagging, Leading, and Interleaving Data Toby Dunn,
Chang Y. Chung		 8
PharmaSUG 2005 Speed up your SAS Programs Karthikeyan Chidambaram 5
PharmaSUG 2005 The Use and Abuse of the Program Data Vector (The Procs) Jim Johnson 17
PharmaSUG 2005 Understanding the Inner Workings of SAS II What to Watch Out for When Using OUTPUT and SORT Yan Lei 5
SUGI 2005 Achieving Optimal I/O Performance with SAS9 Frank M. Bartucca,
Edward Hayes-Hall		 source 11
SUGI 2005 An Animated Guide to Basic Parallel Processing Russell M. Lavery source 25
SUGI 2005 An Introduction to SQL in SAS Pete Lund - SC source 22
SUGI 2005 Efficiency Considerations Using the SAS System Richard D. Langston source 12
SUGI 2005 Frequently Asked Questions about SAS Indexes Billy Clifford source 11
SUGI 2005 No %'s or &'s: Macros Inside the SAS DATA Step William C. Murphy source 4
SUGI 2005 The Mystery of the PROC SORT Options NODUPRECS and NODUPKEY Revealed Britta Kelsey source 5
SUGI 2005 The Rolling Stones Were Right (Time Is on Our Side): An Application of SAS Multiprocessing Trang X. Lance source 11
SUGI 2005 The SQL Optimizer Project: _Method and _Tree in SAS 9.1 (broken file) Russell M. Lavery source 57
NESUG 2004 A Parallel Processing Primer Gil Jacobsen,
Russell M. Lavery		 24
NESUG 2004 An Animated Guide: Speed Merges: Resource Use by Common Non-parallel Procedures Russell M. Lavery 8
NESUG 2004 The SQL Optimizer Project: _Method and _Tree in SAS 9.1 Russell M. Lavery 11
NESUG 2004 When PROC RANK Hinders Your Memory, DATA Step into Decile Assignment - And Handle Ties Too! Jack Clark 2
SESUG 2004 Introduction to PROC SQL Steven J. First source 12
SESUG 2004 Where's The Match? Jennifer L. Waller,
Verna C. Brantley,
Robert H. Podolsky		 source 6
WUSS 2004 Efficiency Techniques for Beginning PROC SQL Users Kirk Paul Lafler source 10
WUSS 2004 How to Add to Existing Data or, Why Did You Do it That Way? Kathryn A. Valdes source 14
WUSS 2004 Speed up your SAS Programs Karthikeyan Chidambaram source 5
WUSS 2004 Text Processing with the New Perl Regular Expression Functions Richard F. Pless source 11
MWSUG 2004 Efficiency Techniques for Beginning PROC SQL Users Kirk Paul Lafler 8
MWSUG 2004 Pipeline Parallelism Performance Practicalities M. Michelle Buchecker 6
MWSUG 2004 SAS Solutions for Fatal Pitfalls Within the Consumer Expenditure Survey Jon G. Fields 5
PNWSUG 2004 A Sort of a Mess: Large Datasets and Multiple Keys David L. Cassell 4
PNWSUG 2004 SAS Programming for Job Security: Tips and Techniques Revisited Arthur L. Carpenter 10
PharmaSUG 2004 A Quicker Way to Inputting and Sorting Large Dataset Using SAS Lin Yan,
Des Plaines		 2
PharmaSUG 2004 Be Careful When You Merge SAS Datasets! Yan Lei 4
PharmaSUG 2004 Creating a Mixed Case Format for Monocase Data Using an Input Control Data Set with Proc Format Lisa A. Soberano 7
PharmaSUG 2004 How SAS Thinks or Why the DATA Step Does What It Does Neil H. Howard 17
PharmaSUG 2004 Swiss Army Knife of Listing All Filenames For Multiple Libraries William C. Csont 4
SUGI 2004 Basic SAS PROCedures for Generating Quick Results Kirk Paul Lafler source 17
SUGI 2004 DATA Step vs. PROC SQL: What's a Neophyte to Do? Craig Dickstein,
Ray Pass		 source 13
SUGI 2004 Don't Be a Slave to Your SAS Programs Marje Fecht,
Larry Stewart		 source 4
SUGI 2004 Efficiency Techniques for Beginning PROC SQL Users Kirk Paul Lafler source 11
SUGI 2004 How SAS Thinks or Why the DATA Step Does What It Does Neil H. Howard source 19
SUGI 2004 Improving Peformance: Accessing DB2 Data with SAS 9 Scott Fadden source 17
SUGI 2004 Introduction to PROC SQL Katie Minten Ronk source 14
SUGI 2004 Let SAS Tell Microsoft Word to Collate Haiping Luo source 11
SUGI 2004 SAS Macro Programming for Beginners Lora D. Delwiche,
Susan J. Slaughter		 source 14
SUGI 2004 SAS Macros for Large Scale Data Analysis and Quality Management of Corporate Actuarial Data Mart Dennis X. Tang,
Don Cooper		 source 8
SUGI 2004 Subsetting SAS Data Set by Using PROC SQL Self-join with Compound Key Zizhong (James) Fan source 5
SUGI 2004 Threads Unraveled: A Parallel Processing Primer David Shamlin source 10
WUSS 2003 An Animated Guide: Speed Merges: resource use by common procedures Russell M. Lavery source 7
WUSS 2003 Building The World'S First Antibiotic Datamart Berwick Chan,
Catherine Kehr,
Arnold Yee		 source 6
WUSS 2003 Efficient Statistical Programming? Let's Be Creative With Those SAS Steps Keiko I. Powers source 7
WUSS 2003 Getting Familiar with SAS Version 8.2 and 9.0 Enhancements Sunil Kumar Gupta source 9
WUSS 2003 Methods of Producing Datasets with Unique Record per Id Number Alexander Khartchenko,
Irina V. Tolstykh,
Natalia V. Udaltsova		 source 4
WUSS 2003 Mouse Clicking Your Way Viewing and Manipulating Data with Versions 8 and 9 of the SAS System Cyndie B. Gareleck,
Terry Fain		 source 8
WUSS 2003 Overlapping Date Segments: How to Clean Up the Mess Doug Shannon,
Wade Bannister		 source 2
WUSS 2003 Preliminary Analysis for Classic Case-Control Study Natalia V. Udaltsova,
Irina V. Tolstykh		 source 3
WUSS 2003 SAS Macro Programming for Beginners Susan J. Slaughter,
Lora D. Delwiche		 source 8
WUSS 2003 SAS System on Network Appliance Darrell Suggs,
Margaret A. Crevar,
Leigh A. Ihnen		 source 6
WUSS 2003 Supporting Medical Research Analysis Using Effective Data Mining Tools: Creating a Well Documented SAS Analytical File from Multiple Warehoused ASCII Files Jay Gravink source 3
SCSUG 2003 Getting Familiar with SAS Version 8.2 and 9.0 Enhancements Sunil Kumar Gupta 9
SESUG 2003 PROC MIGRATE: How to Migrate Your Data and Know You've Done It Right! Diane Olson,
David Wiehle		 source 11
SESUG 2003 SAS System on Network Appliance Darrell Suggs source 6
SESUG 2003 What is Missing in SAS? Imelda C. Go source 5
MWSUG 2003 Easy, Elegant, and Effective SAS Graphs: Inform and Influence with Your Data LeRoy Bessler 10
MWSUG 2003 Parameter Estimation of a Negative Binomial for the By-product of the Gringard Reaction Ling Huang,
Paul W. Johnson		 4
NESUG 2003 A Web-Enabled Graphics Library Denise Sarkozy,
Robert Goldberg-Alberts,
Donald Trevoy		 3
NESUG 2003 All Things to All People: A User-defined Report in SAS/AF Aileen Bennett 6
NESUG 2003 Comparative Efficiency of SQL and Base Code When Reading from Database Tables and Existing Data Sets Steven H. Feder 5
NESUG 2003 SAS Statements Used Anywhere Karin LaPann 10
NESUG 2003 SAS System on Network Appliance Darrell Suggs,
Margaret A. Crevar,
Leigh A. Ihnen		 7
NESUG 2003 The Dirty Secret Behind the Box: Why Programming Efficiency Should Matter to All of Us John J. Cohen 9
NESUG 2003 Tips for Manipulating Data Marge Scerbo 10
NESUG 2003 When Size Matters: How Hashing Saved Our Jobs John J. Cohen,
Russell M. Lavery		 8
SEUGI 2003 Managing Installation and Migration in SAS 9.1 - an overview [presentation] Achim Granzen source 34
SEUGI 2003 Risk Management @ Electrabel: exploiting SAP BW data for pricing and exposure reporting in Energy Trading [presentation] Brynseels source 23
VIEWS 2003 Easy, Elegant, and Effective SAS Graphs LeRoy Bessler presentation 10
VIEWS 2003 Which Merge? Steve Hanks presentation 3
PharmaSUG 2003 Selecting Balanced Cohorts for Comparison in Observational Research Craig Roberts 4
PharmaSUG 2003 The behind the Scenes of Extracting SAS Data Sets from Oracle Clinical Angela S. Ringelberg 6
PharmaSUG 2003 Using Indexes to Perform Table Look-up Sandra Lynn Aker 4
PharmaSUG 2003 Version Comparison: A Powerful, Flexible and Easy Method Vineet K. Mathur 4
SUGI 2003 Advantages of Using a Web Based Reporting System Over Using SAS/CONNECT Mollie Van Loon,
John M. Shingler		 source 2
SUGI 2003 An Inside Look at Version 9 and 9.1 Threaded Base SAS Procedures Robert S. Ray source 6
SUGI 2003 Application of the LOESS Procedure for Monitoring and Detecting Critical Movements in the US Automobile Market Keiko I. Powers,
J. Michael Jay,
Tie Gao		 source 6
SUGI 2003 Comparative Efficiency of SQL and Base Code When Reading from Database Tables and Existing Data Sets Steven H. Feder source 5
SUGI 2003 Easy, Elegant, and Effective SAS Graphs: Inform and Influence with Your Data LeRoy Bessler source 10
SUGI 2003 Linkage of Patient Registries and Clinical Data Sets without Patient Identifiers Paul D. Frederick source 6
SUGI 2003 Mouse Clicking Your Way to Viewing and Manipulating Data with Versions 8 and 9 of the SAS System Cyndie B. Gareleck,
Terry Fain		 source
SUGI 2003 Performance Tuning SAS/ACCESS for DB2 Scott J. Fadden source 10
SUGI 2003 Reducing the CPU Time of Your SAS Jobs by More than 80%: Dream or Reality? Henri Theuwissen,
Nancy Croonen		 source 10
SUGI 2003 SAS System on Network Appliance Darrell Suggs,
Margaret A. Crevar,
Leigh A. Ihnen		 source 6
SUGI 2003 Scheduling Time with SAS: Project Proposal Examples Barbara B. Okerson source 6
MWSUG 2002 A Missing is a Missing is a Missing ... Unless Your're a Project Manager Martin Barron 4
MWSUG 2002 SQL Basics Destiny Corporation (a company) 5
SCSUG 2002 A FIRST . (but not LAST.) Word on the BY-group Processing Christine A. Smiley 9
SCSUG 2002 SQL Basics Dana Rafiee 5
SCSUG 2002 Summarizing and Reorganizing Data Jimmy A. DeFoor 7
SCSUG 2002 Up and Out: Where We're Going with Scalability in SAS Version 9 Cheryl Doninger 8
NESUG 2002 Don't Be a Slave to Your SAS Programs Marje Fecht,
Larry Stewart		 2
NESUG 2002 Merging Multiple Observation Data Sets Together Timothy D. Kelly 2
NESUG 2002 PROC SQL for DATA Step Die-Hards Christianna S. Williams 10
NESUG 2002 SQL Basics Destiny Corporation (a company) 6
NESUG 2002 Subsetting SAS Data Set by Using PROC SQL Self-join with Compound Key Zizhong (James) Fan 2
NESUG 2002 Version 9 Changes & Enhancements Destiny Corporation (a company) 18
SESUG 2002 Don't Be a Slave to Your SAS Programs Marje Fecht,
Larry Stewart		 source 2
SESUG 2002 Using SAS With a SQL Server Database M. Rita Thissen,
Yan Chen Tang,
Elizabeth Heath		 source 5
WUSS 2002 Comparison of Several SAS Approaches to Mean Imputation for Time Series Data with Missing Data Points Keiko I. Powers source 4
WUSS 2002 DATA Step Internals: Compile and Execute Neil H. Howard source 10
WUSS 2002 Finding Best-matched Controls for Case-control Study Using Theory of Making Decisions and SAS Macro Programming Natalia V. Udaltsova,
Irina V. Tolstykh		 source 4
WUSS 2002 Mouse Clicking Your Way Viewing and Manipulating Data with Version 8 and 9 of the SAS System Cyndie B. Gareleck,
Terry Fain		 source 8
WUSS 2002 Where in the World are Block, Choropleth, and Prism? Getting Started with PROC GMAP and Creating Interactive Maps for the Web Thomas Kunselman source 6
PharmaSUG 2002 Data Dependent Footnotes using PROC REPORT Angelina Cecilia Casas 4
PharmaSUG 2002 Efficient Interpolation Calculation Julia Z. Zhang 4
PharmaSUG 2002 ODS to RTF: Tips and Tricks Paul D. Hamilton 10
PharmaSUG 2002 Reduce Paper Output When Using SAS PROC COMPARE (A Validator's Dream Come True!) Lila Thome 4
PharmaSUG 2002 Techniques for the Successful Management of Laboratory Data for Clinical Research and Development Benjamin H. Frierson 6
SUGI 2002 A SAS Application for Measuring Efficiency and Productivity of Decision Making Units Ali Emrouznejad source 5
SUGI 2002 All Things to All People: A User-defined Report in SAS/AF Aileen D. Bennett source 6
SUGI 2002 Data Cleaning 101 Ronald P. Cody source 10
SUGI 2002 DATA Step Essentials Neil H. Howard source 11
SUGI 2002 DATA Step vs. PROC SQL: What's a Neophyte to Do? Craig Dickstein,
Ray Pass		 source 9
SUGI 2002 Don't Be a Slave to Your SAS Programs Marje Fecht,
Larry Stewart		 source 2
SUGI 2002 Dynamic Data Matching in Clinical Trial Research Zaizai Lu,
David Shen		 source 4
SUGI 2002 How ODS Simplified Our Web-based Clinical Trial Reports Julie A. Inglish source 3
SUGI 2002 How to Link Records Matching on at Least m Out of n Identifying Keys Xinyu Ji source 5
SUGI 2002 Mouse-Clicking Your Way to Viewing and Manipulating Data with Version 8 SAS Terry Fain,
Cyndie B. Gareleck		 source 6
SUGI 2002 Programming Tricks for Reducing Storage and Work Space Curtis A. Smith source
SUGI 2002 Save Time Today Using SAS Views Robert S. Ray source 4
SUGI 2002 Show Your Graphs and Tables at Their Best on the Web with ODS Francesca Pierri,
LeRoy Bessler		 source
SUGI 2002 Table Look-up Using Techniques Other Than the Matched Merge DATA Step Sandra Lynn Aker source 6
SUGI 2002 Unit-of-Analysis Programming Vanessa C. Hayden source 6
SUGI 2002 Up and Out: Where We're Going with Scalability in SAS Version 9 Cheryl Doninger source 8
MWSUG 2001 50 Ways To Merge Your Data - Installment 1 Kristie Schuster,
Lori L. Sipe		 6
MWSUG 2001 Using Alternate Statistics and PROC Tabulate Jim Edgington 5
NESUG 2001 Design and Validation of a Program for Random Drug Testing Donald T. Gantz 9
NESUG 2001 Five (or more) alternatives for record selection from one file based on information in another Michael S. Zdeb 3
NESUG 2001 INTERPOLATION CALCULATION MADE EZ Julia Z. Zhang,
David C. Chen		 4
NESUG 2001 Selecting Unrestricted and Simple Random With Replacement Samples Using Base SAS and PROC SURVEYSELECT David D. Chapman 9
NESUG 2001 So You're Running Out of Sort Work Space... Reducing the Resources Used by PROC SORT Bob Virgile 5
NESUG 2001 SQL Basics Destiny Corporation (a company) 5
WUSS 2001 A Sort of a Mess - Sorting Large Datasets on Multiple Keys David L. Cassell source 3
WUSS 2001 Basic SQL Processing Destiny Corporation (a company) source 5
WUSS 2001 Making a Mountain into a Molehill in a Mainframe Environment Using Multi-Step Processing and other Masterly Maneuvers Tracee Matlock source 6
WUSS 2001 Programming Tricks for Reducing Storage and Work Space Curtis A. Smith source 5
WUSS 2001 Table Lookups: From IF-THEN to Key-Indexing Arthur L. Carpenter source 8
WUSS 2001 Version 9: Scaling the Future Diane Olson,
Robert S. Ray		 source 5
WUSS 2001 Web Log Data Cleansing and Dynamic Excel Reporting Kunling Lu source 6
SESUG 2001 Multiprocessing with Version 8 of the SAS System Cheryl Doninger source 10
SESUG 2001 Sending E-Mail From a Mainframe Using SAS in an MVS Environment Michelle Gillespie,
Douglas A. Pacas		 source 3
SESUG 2001 SQL Processing Destiny Corporation (a company) source 5
SESUG 2001 Version 9: Scaling the Future Diane Olson,
Robert S. Ray		 source 5
SCSUG 2001 Basic SAS PROCedures for Generating Quick Results Kirk Paul Lafler 10
SCSUG 2001 Multiprocessing with Version 8 of the SAS System Cheryl Doninger 10
SCSUG 2001 Overcoming the Challenges of Longitudinal Data Collection Imelda C. Go 4
SCSUG 2001 SQL Processing Destiny Corporation (a company) 5
SCSUG 2001 Version 9: Scaling the Future Diane Olson,
Robert S. Ray		 5
SEUGI 2001 Exploiting and extending the Multi Vendor Architecture [presentation] Achim Granzen source 52
SEUGI 2001 What's New in SAS/Warehouse Administrator Software [presentation] Wilbram Hazejager source 43
PharmaSUG 2001 A Bit More on Job Security: Long Names and Other V8 Tips Arthur L. Carpenter,
Tony Payne		 6
PharmaSUG 2001 The Efficiency of Proc SQL in Place of Traditional Procedures for Large Data Sets Cindy Stroupe 4
PharmaSUG 2001 Unit-of-Analysis Programming Vanessa C. Hayden,
Fidelity Investments		 6
SUGI 2001 50 Ways To Merge Your Data - Installment 1 Kristie L. Schuster,
Lori L. Sipe		 source 5
SUGI 2001 A SAS V8 Web Application Utilizing ODS, FTP Files from MVS, and SAS PROC GREPLAY in Batch Mode Jon A. Patrick source 4
SUGI 2001 A Sort of a Mess - Sorting Large Datasets on Multiple Keys David L. Cassell source 4
SUGI 2001 Changes &Enhancements for ODS by Example (through V8.2) Sandy McNeill source 7
SUGI 2001 Data Cleaning 101 Ronald P. Cody source 10
SUGI 2001 DATA Step vs. PROC SQL: What's a Neophyte to Do? Craig Dickstein source 9
SUGI 2001 Fast and Effective Text Standardization (Coding) Without the Latest Stuff Erik H. Dilts source 7
SUGI 2001 Long Names and Other V8 Tips Arthur L. Carpenter,
Tony Payne		 source 7
SUGI 2001 Merging Tables in DATA Step vs. PROC SQL: Convenience and Efficiency Issues Gajanan Bhat,
Raj Suligavi		 source 4
SUGI 2001 Migration from OpenVMS to Windows NT: Issues and Considerations for Programmers Adrien Ndikumwami source 3
SUGI 2001 Mouse-Clicking Your Way to Viewing and Manipulating Data with Version 8 SAS Terry Fain,
Cyndie B. Gareleck		 source 6
SUGI 2001 Quick Sorting an Array Paul M. Dorfman source 6
SUGI 2001 SAS Application Performance Monitoring for Solaris Gary Hutchinson,
Ed Trumbell		 source 4
SUGI 2001 Some Added Value: Using SAS Formats for Table Look-Ups, Merges, and Data Selection David H. Pingel source 4
SUGI 2001 Statistical Quality Control and a Capability Analysis Paul W. Johnson,
Ling Huang		 source 5
SUGI 2001 Table Look-Up by Direct Addressing: Key-Indexing - Bitmapping - Hashing Paul M. Dorfman source 10
SUGI 2001 Table Lookups: From IF-THEN to Key-Indexing Arthur L. Carpenter source 8
SUGI 2001 Windows NT Server Configuration and Tuning for Optimal Server Performance Susan E. Davis,
Carl E. Ralston		 source 4
SUGI 2001 Your Graphs on the Web with SAS/GRAPH Version 8 Francesca Pierri source 6
SCSUG 2000 Basic SQL Processing Destiny Corporation (a company) 5
SESUG 2000 SAS Software Macros - You're Only Limited by Your Imagination Peter Parker source 8
NESUG 2000 PROC MEANSTM: More than just your average procedure Peter R. Welbrock 10
NESUG 2000 Reporting One Record at a Time (aka "DATA _NULL_") Frank Senk 5
NESUG 2000 SAS Software Macros - You're Only Limited by Your Imagination Peter Parker 8
NESUG 2000 SQL Summary Functions, Unions, and Aliases to Define a Risk Cohort and Risk Variables from a Record-based Study Janet Wikoff,
Lori Maiwald		 9
NESUG 2000 Templates for Comprehensive Analysis of Logically Dichotomous Survey Questions Donald T. Gantz 10
NESUG 2000 You CAN Get There from Here (and Back Again): Adding Hot-link Drill-down Capabilities to ODS HTML Output Ray Pass 11
WUSS 2000 Basic SQL Processing Dana Rafiee source 5
WUSS 2000 Bringing Rhyme and Reason to Your Data: A Beginner's Guide to Creating Reports that Communicate and Impress Lora D. Delwiche,
Susan J. Slaughter		 source 10
WUSS 2000 By Hook or By Crook: Overcoming Resource Limitations Curtis A. Smith source 8
WUSS 2000 Long Names and Other V8 Tips: A Bit More on Job Security Arthur L. Carpenter,
Tony Payne		 source 6
MWSUG 2000 Advanced DATA Step Techniques Neil H. Howard 10
MWSUG 2000 Merges and Joins Timothy J. Harrington 6
PharmaSUG 2000 Matched Sampling Using SAS Software Edgar L. Mounib,
Thiru Satchi		 6
PharmaSUG 2000 Removing Duplicates: PROC SQL Can Help You "See" Vicki Siemers 2
PharmaSUG 2000 The Challenges of Looking Across Transaction Data Sergey Sianissian 3
PharmaSUG 2000 Using SAS Macro to Create Data Driven Format Statement for Clinical Data Flagging Pilita Canete,
Melanie A. Paules,
Shi-Tao Yeh		 5
SUGI 2000 A WYSIWYG Application to Summarize Categorical Variables Using the SAS System Dorothy E. Pugh,
Jeffrey M. Abolafia		 source 6
SUGI 2000 Advanced DATA Step Techniques Neil H. Howard source 10
SUGI 2000 Automating the Selection of Controls in Case-Control Studies Thiru Satchi,
Edgar L. Mounib		 source 6
SUGI 2000 By Hook or By Crook: Overcoming Resource Limitations Curtis A. Smith source 6
SUGI 2000 Keeping Your Data in Step - Utilizing Efficiencies Michael G. Sadof source 7
SUGI 2000 Merges and Joins Timothy J. Harrington source 6
SUGI 2000 Multidimensional Arrays in SAS/IML Software Michael Friendly source 8
SUGI 2000 PROC MEANS: More Than Just Your Average Procedure Peter R. Welbrock source 10
SUGI 2000 Removing Duplicates: PROC SQL Can Help You "See" Vicki J. Siemers,
Brian F. Nash		 source 2
SUGI 2000 The Problem with NODUPLICATES Jack Hamilton source 2
SUGI 2000 Version 8 Base SAS Performance: How Does It Stack Up? Robert S. Ray source 7
SUGI 2000 Web Interfacing: Merging Statistical Processing William J. Montelpare,
Moira N. McPherson		 source 3
SCSUG 1999 Basic SQL Processing Destiny Corporation (a company) 5
SESUG 1999 An Introduction to the Next Big Thing: Parallel Computing John E. Bentley source 10
SESUG 1999 Mapping: "Would You, Could You..." Clara Louise Waterman source 3
SESUG 1999 Matching Data Using SAS Programming and Human Judgment Imelda C. Go source 3
SESUG 1999 Programming Solutions with SAS Formats and Informats Imelda C. Go source 9
SESUG 1999 SAS Components To Help You Survive A Deserted Island Stephen M. Noga source 7
WUSS 1999 Hook or Crook Curtis A. Smith source 6
NESUG 1999 How MERGE Really Works Bob Virgile 7
NESUG 1999 Input Selection, Performance Evaluation, and Credit Risk Analysis Shirley Tsai,
David Hamilton		 10
NESUG 1999 SAS Macros for Grouping Count and Its Application to Enhance Your Reports Shi-Tao Yeh 5
NESUG 1999 Using SAS/GRAPH Software to Create Graphs on the Web Himesh Patel,
David Caira		 10
NESUG 1999 What Sort of Input Should You Input to a Sort? Michael A. Raithel 2
SUGI 1999 Advanced DATA Step Topics Neil H. Howard source 10
SUGI 1999 An Introduction to PROC SQL David E. Beam source 10
SUGI 1999 An Introduction to PROC SQL David E. Beam source 10
SUGI 1999 Dealing with Health Care Data using the SAS System Alan C. Wilson,
Marge Scerbo		 source 9
SUGI 1999 Keeping Your Data in Step - Utilizing Efficiencies Michael G. Sadof source 7
SUGI 1999 Robust Outlier Identification using SAS Jack N. Shoemaker source 8
SUGI 1999 So You're Running Out of Sort Work Space... Reducing the Resources Used by PROC SORT Bob Virgil source 6
SUGI 1999 The DATA Statement: Efficiency Techniques S. David Riba source 8
SUGI 1999 Using SAS/GRAPH Software to Create Graphs on the Web David J. Caira,
Himesh Patel		 source 10
SUGI 1999 What Sort of Input Should You Input to a Sort? Michael A. Raithel source 2
MWSUG 1998 An Introduction to PROC SQL Pete Hansen 10
MWSUG 1998 If There Is A Will, There Is A Way: Getting Around Defaults of PROC LOGISTIC Chao-Ying Joanne Peng,
Tak-Shing Harry So		 10
SCSUG 1998 SQL Basics Destiny Corporation (a company) 5
WUSS 1998 The Problem with NODUPLICATES, Continued Jack Hamilton source 5
NESUG 1998 Acceptance Testing of a Large Distributed Information System Using Statistical Resampling Donald T. Gantz 10
NESUG 1998 Coding for Posterity Rick Aster 6
NESUG 1998 Efficient Access to Data Warehouse With PROC SQL Pass Through Facility James Yang 7
NESUG 1998 Strategies For Linking Medicaid Eligibility Files To Vital Statistics Birth Files To Assess The Efficacy Of Medicaid Managed Care Patrick J. Roohan 6
NESUG 1998 Table Look-up using Indexes, SQL, Arrays, and Formats without using Match-Merge Data Steps Sandra Lynn Aker 7
NESUG 1998 Using SAS/GRAPH Software to Create Graphs for the Web Himesh Patel (Roger Chenoweth) 10
SESUG 1998 SQL Basics Destiny Corporation (a company) 6
SESUG 1998 Survey Research Using SAS: Tricks of the Trade Archer R. Gravely,
UNC Asheville		 10
SESUG 1998 What Sort of Input Should You Input to a Sort? Michael A. Raithel 2
PNWSUG 1998 A Simple Solution to the PROC SORT NOPUD Option Problem Peter J. Lund 5
PNWSUG 1998 Decision Tree Classification in Direct Marketing Robert Mengis 9
SEUGI 1998 dib-eisa tool for developing controlling applications Oda Bellingrath source 7
PharmaSUG 1998 Programmers Can Check Data Too Diana L. Williams 4
SUGI 1998 An Introduction to PROC SQL Rosalind K. Gusinow,
J. Michael Miscisin		 source 12
SUGI 1998 Further Discussion of Summarizing Impossibly Large SAS Data Sets Sheng Luo,
Xinsheng Lin		 source 5
SUGI 1998 Generating SAS Source Code with SAS Macros Robert W. Graebner source 2
SUGI 1998 Improving the Rainbow Test: A Macro to Measure the Lack of Fit in Multiple Regression with the Use of the Bootstrap Paul W. Johnson source 4
SUGI 1998 On Data Transfer Aileen L. Yam source 10
SUGI 1998 Programming for Job Security Revisited: Even More Tips and Techniques to Maximize Your Indispensability Arthur L. Carpenter,
Tony Payne		 source 9
SUGI 1998 Using SAS/GRAPH Software to Create Graphs on the Web Himesh Patel source 10
SCSUG 1997 A Macro to Account for Missing Data in a Table Margie Bell,
Stephen Black,
Jennifer K. Fulton		 10
SCSUG 1997 Self-Modifying SAS Programs: A DATA Step Interface S. David Riba 8
WUSS 1997 Implementation of Benefit Capitation Algorithm for Managed Health Care Zhirong Mao,
Yuejing XU		 source 5
WUSS 1997 The Problem with NODUPS Jack Hamilton source 4
NESUG 1997 A Method for Sorting a Large Data Set with Limited Memory Leslie LaBrecque 1
NESUG 1997 A Non-Memory Intensive Alternative to PROC MEANS and PROC SUMMARY Jack Yang 4
NESUG 1997 Creating Tables with Summary Statistics When PROC Tabulate is Insufficient David Collins 4
NESUG 1997 Enhancing SAS/GRAPH Software Output George P. Sharrard 5
NESUG 1997 From 50,000,000 Claims to One Analytical File Louise S. Hadden,
Mike Murphy,
Alan J. White		 6
NESUG 1997 SAS Versatility: Using SAS Software to Analyze and Report Students' Evaluations of Faculty Gail Wisan 10
NESUG 1997 SELECT ITEMS FROM PROC.SQL WHERE ITEMS > BASICS Alan Dickson,
Ray Pass		 10
NESUG 1997 Techniques for Managing Large Data Sets: Compression, Indexing and Summarization Lisa Ann Horwitz 8
NESUG 1997 Using Base SAS and SAS/GRAPH Software to Predict and Geographically Display Regional Estimates of Persons without Health Insurance Matthew Reilly 8
NESUG 1997 Utilizing Conditional Logic To Improve Efficiency Karla Atwell 4
MWSUG 1997 A Macro for Efficient and Flexible Data Smoothing John Cucka 7
MWSUG 1997 Building a Better Dataset Descriptor Mike D. Tangedal 6
MWSUG 1997 Self-Modifying SAS Programs: A DATA Step Interface S. David Riba 8
SESUG 1997 A Step-By-Step Illustration of Building a Data Analysis Tool with Macros Diana Zhang Wobus 7
SESUG 1997 Learning About Your Data: Tips and Techniques for Looking at Large Files Sandra D. Schlotzhauer 10
SESUG 1997 Self-Modifying SAS Programs: A DATA Step Interface S. David Riba 8
SEUGI 1997 SPDS - The Scalable Performance Data Server Thomas Becker source 49
SUGI 1997 A SAS Programmer's View of the SAS Supervisor H. Ian Whitlock source 11
SUGI 1997 Incorporating External Data Into the Data Warehouse Tim Walters source 6
SUGI 1997 Learning About Your Data: Tips and Techniques for Looking at Large Files Sandra D. Schlotzhauer,
Bob Anschuetz		 source
SUGI 1997 Using Macros to Annotate Graphs Based on Changing Data Barry Frye,
John Nelson		 source 5
SUGI 1997 Using SAS Software to Compare Strings of VOLSERS in a JCL Job and a TSO CLIST Randall M. Nichols source 6
SUGI 1997 Using Survey Data: Tips to Pick Up Speed on the Road to Analysis Cynthia L. Williamson,
Suzanne D. Kreutzer		 source 6
SCSUG 1996 Introduction to PROC SQL Thomas J. Winn Jr. 16
SESUG 1996 A SAS Programmer's View of the SAS Supervisor H. Ian Whitlock 11
SESUG 1996 A SASe Program Routine to Derive the Required Data Structure to Select Matched Pairs of Observations for Evaluating Quasi-Experimental Research Designs Gunapala Edirisooriya 5
SESUG 1996 PROC SQL - A SAS Programmer's Perspective Deborah L. Skinner 7
SESUG 1996 Report Writing, SAS/GRAPH Creation, and Output Verification using SAS/ASSIST Matthew J. Becker 8
NESUG 1996 PROC SQL - A Closer Look Jim Peters 10
NESUG 1996 Quality Assurance and The SAS System Thalene T. Mallus 10
NESUG 1996 Self-Modifying SAS Programs: A DATA Step Interface S. David Riba 8
NESUG 1996 The Fuzzy Feeling SAS Provides: Electronic Matching of Records without Common Keys Charles Partridge 9
NESUG 1996 Two Perils of Moving Your Mainframe Processing to PCs: Memory and Processing Time Peter Knapp 5
NESUG 1996 Using Macros to Recode Sensitive Data Mary-Elizabeth Eddlestone 2
MWSUG 1996 Self-Modifying SAS Programs: A DATA Step Interface S. David Riba 9
WUSS 1996 "Rank Ordering" Means Diana D. Suhr source 5
WUSS 1996 Can SAS Programs on PCs and Minis Finally Compete with Mainframe SAS Programs Robert O. Bernstein source 6
WUSS 1996 ClinOS: A Commercially Available Set of Tools for SAS Programmers Lindley Frahm source 8
WUSS 1996 In-House SAS Training Martin Haase source 6
WUSS 1996 Measuring Performance Between PROC SQL and the Merge Approach Martin Haase source 5
WUSS 1996 PROC SQL - A SAS Programmer's Perspective Deborah L. Skinner source 7
WUSS 1996 PROC SQL as an Alternative to Multiple SORT/MERGE Statements Robert Bachler source 3
WUSS 1996 Tips and Techniques for Updating a Repository Data Warehouse Ty Lee source 6
WUSS 1996 Using Survey Data: Tips to Pick Up Speed on the Road to Analysis Cynthia L. Williamson,
Suzanne D. Kreutzer		 source 6
WUSS 1996 Why Knowing About Our Customers Helps Our Business A Practical Application of Business Intelligence Software John McIntyre,
Marc Halsted		 source 9
SUGI 1996 Pairwise Matching of Sample and Control Groups Using PROC FASTCLUS Kathleen A. Travis,
Stephan Arndt,
Nancy C. Andreasen		 source 5
SUGI 1996 Tips and Techniques for Data Fixes in a Repository Data Warehouse Ty Lee source 6
SUGI 1996 Transforming Accounting Transactions into Customer Lifetime Values Thayer Allison source 4
SUGI 1996 Using SAS/STAT Software for Nonparametric 2-Way Analysis of Variance: A Biomedical Device Process Validation Problem Timothy L. Beck,
Sandra Weinert		 source 6
MWSUG 1995 A New Approach to Outer Joins with More than Two Tables Howard Levine 10
MWSUG 1995 Start Your Own SASAUTOS Macro Library Mike Bodenstab,
Doug E. Lassman		 6
NESUG 1995 A Health Care Atlas of New York State Using SAS/GRAPH Michael S. Zdeb 8
NESUG 1995 Create a Permanent View by Querying Data From Two Tables Owen Jiang,
Robert Musterer		 3
NESUG 1995 Large Data Volume: Tricks of the Trade Allison Levine 5
NESUG 1995 PROC FORMAT: Use of the CNTLIN Option For Efficient Programming Karuna Nerukar,
Andrea Robertson		 7
NESUG 1995 Using SAS with SYBASE For Database Management Yusuf M. Mohanedshah,
Carolyn D. Williams		 8
WUSS 1995 Automated Project Documentation, Making the SAS System Document Its Own Processes Sy J. Truong source 5
WUSS 1995 Solutions for the Data "Where?" House: Presenting Data form Many Sources Using SAS and ODBC Andrew J. L. Cary source 10
SEUGI 1995 Model Building for the Cox Proportional Hazards Model with the SAS System Richard Vonk source 12
SEUGI 1995 SAS & DB2: Automization of View Markku V. Suni source 8
SEUGI 1995 Tips to Merge Large Datasets or Views, and Tips to Percent in PROC TABULATE Per Andersen source 6
SUGI 1995 A New Approach to Outer Joins with More than Two Tables Howard Levine source 10
SUGI 1995 Diving into SAS Software with the SOL Procedure Kirk Paul Lafler source 6
SUGI 1995 Macro Development and Centralization: A Modular Data-Driven Approach M. Kumar Sagar source 6
SUGI 1995 Techniques for Efficiently Accessing and Managing Data Steven A. Wilson source 10
SCSUG 1994 Debugging SAS Macros Thomas J. Winn Jr. 18
WUSS 1994 Advantages and Pitfalls of the SQL Procedure Patricia L. Gerend source 9
WUSS 1994 Joining Tables of Data in the SQL Procedure Kirk Paul Lafler source 6
WUSS 1994 Techniques for Efficiently Accessing and Managing Data Steven A. Wilson source 10
WUSS 1994 Visualization of Scientific Data: Specialty Graphs Without Using Annotate Arthur L. Carpenter source 9
NESUG 1994 Migrating to SAS 6.08 for Windows: The Merck CANDA Experience Frank S. Palmieri,
Rob Rosen,
Wanda Bidlack		 7
NESUG 1994 PROC TRANSPRINT: Sort of Ralph W. Leighton 2
NESUG 1994 Replacement Methodology or Maintaining the Rankings of Treatments in Clinical Trials with Discontinuations Maureen Fulcher Mele 6
NESUG 1994 The Mult-Platform Challenge: SAS for Windows and VMS Without SAS/CONNECT Daphne E. Ewing 6
MWSUG 1994 Letting SAS Find the Data Errors When You Have Multiple Observations and/or Multiple Datasets Deb Cassidy 9
SESUG 1994 TUTORIALS <II> Creating a user-Friendly Menu System without SASIAF * Robert F. Davis 17
SESUG 1994 Using SAS/GRAPH to Generate State Metropolitan Area (MA) Maps Francis J. Kelley 8
SEUGI 1994 Creating FORMATs Automagically Markku V. Suni source 8
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 Migrating to SAS 6.08 for Windows: The Merck CANDA Experience Frank S. Palmieri,
Rob Rosen,
Wanda Bidlack		 source 6
SUGI 1994 Preliminary Data Management and Report Generation Using the SAS System on the PC Carmen F. Gillem,
William C. Murphy,
Ronald J. Billings		 source 3
SUGI 1994 Recent Issues in Statistical Process Control: SAS Solutions USing Statistical Modeling Procedures Robert N. Rodriguez source 18
SUGI 1994 Replacement Methodology or Maintaining the Ranking of Treatments in Clinical Trials with Discontinuations Maureen Fulcher Mele source 6
SUGI 1994 SAS 6.09 on a CONVEX C3840: First Impressions Kenneth A. Hardy,
Sally M. Muller		 source 8
SUGI 1994 Writing SAS Applications That Access Data in a Multiple-Update Environment Mark Stranieri source 7
NESUG 1993 A Utility Program that Generates Descriptive Statistics on the Attributes of SAS Variables Larry Specht,
Charles K. Skee		 11
NESUG 1993 Large Data Sets on the Mainframe -- Strategies for Improved Efficiency and Reduced Competition for Resources Helen-Jean Talbott 6
NESUG 1993 Using SAS Macros to Generate Patient-Oriented Edit Listing from an Ingres Clinical Trials Database Varghese N. Kariakose,
James T. Crowe Jr.		 9
WUSS 1993 Random Sampling Without Replacement Hong Zhou,
Patrick Romano		 source 2
SCSUG 1993 SAS Programming for Efficient Processing Clarence W. Jackson 6
MWSUG 1993 Efficient Programming with PROC SQL Kim L. Kolbe Ritzow 4
SEUGI 1993 Introduction to DATA Step Views Isolde Schell-Haungs source 5
SUGI 1993 DATA Step Changes and Enhancements Jeffrey A. Polzin source 6
SUGI 1993 Designing What IS Really Asked For: Volleyball Tournaments and Nonorthogonally Blocked, Split-Plot Fractional Factorials Diccon R. E. Bancroft,
William D. Kahn		 source 7
SUGI 1993 Introduction to DATA Step Views Jeffrey A. Polzin source 5
SUGI 1993 Strategies for Performing Multiple Comparisons on Means Jenny Aquino Kendall source 7
SUGI 1993 Strengths and Weaknesses of the SQL Procedure Compared to Standard SAS Language Howard Levine source 8
SUGI 1993 The Evolving Role of SQL in Genetics, Breeding, and Selection Work Carmela C. Janagap,
Ambekar A. Eknath		 source 5
SESUG 1993 Manipulating Large Highway and Crash Datasets Elizabeth G. Hamilton,
Carolyn D. Williams		 6
SESUG 1993 Using SAS to Analyze Health Status in Insurance Claims Richard N. Lieberman 10
SCSUG 1992 Macro Techniques for Generating Customized Reports Jimmy A. DeFoor 7
NESUG 1992 Manipulating Large Highway and Crash Datasets Elizabeth G. Hamilton,
Carolyn Williams		 6
NESUG 1992 New Technology - Transforming a Mainframe System to the PC Using SAS/AF Software Beth A. Schlaline,
Henry F. DeLong Jr.,
Valerie J. Martin		 6
NESUG 1992 The SAS System Under Windows 3.0 and OS/2.0 Wanda Thomas 3
NESUG 1992 Useful Complexity: An Introduction to Multi-Platform Development in SAS Paul Dalberth,
Frank C. DiIorio		 6
NESUG 1992 Utilizing SAS/AF and Screen Control Langage: A Census Bureau Application Steve Proudfoot,
Kimberly Pressley		 5
MWSUG 1992 DATA Step Changes and Enhancements Jeffrey A. Polzin 6
MWSUG 1992 DATA Step Views Jeffrey A. Polzin 6
SEUGI 1992 DATA Step Changes and Enhancements Bent Sorenson source 6
SEUGI 1992 DATA Step Views Isolde Schell-Haungs source 6
SUGI 1992 A SAS Program to Analyze Statistical Distribution of Airborne Material D. Manco,
F. Caiffa,
T. Tirabassi,
S. Corsi		 source 5
SUGI 1992 A Tool for Compiling DATA Steps in Large SAS Systems Herbert C. Reynolds source 6
SUGI 1992 Essential SAS Software for Engineers William D. Kahn,
Diccon R. E. Bancroft		 source 10
SUGI 1992 How to Gain a Working Knowledge of the FREQ Procedure without Freaking Out Wendy London source 8
SUGI 1992 I/O Performance Improvements in Release 6.07 of the SAS System under MVS, CMS, and VMS Stephen M. Beatrous,
John T. Stokes		 source 5
SUGI 1992 Making Use of the SAS Implementation of SQL Don Stanley source 6
SUGI 1992 Performance Enhancements in SAS Procedures for Small and Large Applications Leigh A. Ihnen source 10
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 Use of the KEEP and DROP Concept in Batch SAS Programs Bill Schallert source 6
NESUG 1991 Comparing PROC SQL to Standard SAS Coding Techniques Howard Levine 6
NESUG 1991 Introduction to Efficient Programming Techniques David S. Septoff,
Paige Valentine-Query		 5
NESUG 1991 Two Measures of Rating Reliability Peter P. Gaccione 7
MWSUG 1991 Comparing PROC SQL to Standard SAS Coding Techniques Howard Levine 7
MWSUG 1991 SAS Efficiency Techniques Steven J. First,
Kim L. Kolbe		 10
SEUGI 1991 Development of PC-based Land Suitability Analysis and Demand Distribution Model for Allocation, Forecasting and Planning Elise Bright,
Parviz Nazem		 source 12
SEUGI 1991 Optimising Performance of the SAS System Under OS/2 Craig Dury source 5
SEUGI 1991 Some New Features in the DATA STEP Sarah Bell source 7
SUGI 1991 A Program to Compute Odds Ratios and Confidence Intervals from LOGISTIC Output Eric Yu I. Wang,
Aili Gong,
David P. MacKinnon		 source 4
SUGI 1991 An Insider's Sneak Preview of the Next DATA Step Release Jeffrey A. Polzin source 7
SUGI 1991 Introduction to Efficient Programming Techniques Paige Valentine-Query source 5
SUGI 1991 Manipulating SAS Data Sets: An Introduction Richard Alonso source 6
SUGI 1991 Optimizing the Performance of the SAS System under OS/2 Carolyn D. Williams,
Julie A. Maddox		 source 5
SUGI 1991 Performance Tuning for Release 6.06 of the SAS System under MVS Amitava Ghosh,
Leigh lhnen		 source 5
SUGI 1991 Variable Format Report Generator Joy Y. S. Jair,
Rex C. T. Wu		 source 7
NESUG 1990 How MERGE Really Works Robert Virgile 7
NESUG 1990 Ragged Matrices, Real-Time Arragys and Other Novel Concepts Frederick E. Pratter 7
NESUG 1990 SAS Software Performance In the Personal Computer Environment Donald R. Deese,
John D. Ebner		 9
NESUG 1990 The Painless Path to Release 6.06 of the SAS System Robina G. Thornton,
John C. Boling		 9
MWSUG 1990 Printing SAS Reports without PROC PRINT Larry Park 10
MWSUG 1990 The Painless Path to Release 6.06 of the SAS System Robina G. Thornton,
John C. Boling		 7
SEUGI 1990 Current and Future Enhancements of Version 6 of the SAS System under CMS John W. De Boskey source 16
SEUGI 1990 Developing User Applications Using the FSVIEW Procedure in Version 6 SAS/FSP Software Georg Morsing source 6
SEUGI 1990 Robust Estimation of Radio Immuno Assays Using SAS Software Hans-Peter Altenburg source 8
SEUGI 1990 Using Relational Databases (ORACLE and RD) Together with the SAS System on VMS Thomas J. R. Emmerich source 5
SEUGI 1990 Writing Efficient SAS/DB2 Applications in Version 6 of the SAS System Jan Bakker source 5
SUGI 1990 A SAS Macro Based System for the Preparation of Data for Comparative Bioavailability Analysis Kelly K. Antony,
Laurie T. Elstun		 source 5
SUGI 1990 Best Presentation of Data-Monochrome Vincent G. Iannacchione source 4
SUGI 1990 Current and Future Enhancements of Version 6 of the SAS System under CMS John W. De Boskey source 4
SUGI 1990 Developing User Applications Using the FSVIEW Procedure in Release 6.06 SAS/FSP Software Scott L. Bass source 7
SUGI 1990 Formatted Tables: SAS Macro Programs Will A. Sullivan,
Sharon M. Haney,
Harvie Chang,
Gary Stephens		 source 6
SUGI 1990 Interfacing Normalized Relational Database Structures with SAS Software James R. Johnson,
Roger D. Cornejo		 source 8
SUGI 1990 Mortar and Bricks: Using Basic SAS System Procedures to Manipulate Your Data Peter Kretzman source 8
SUGI 1990 Organizing CMS Files Using the SORT Procedure, REXX, and FILELIST Kimberly J. LeBouton source 5
SUGI 1990 Overview of the SET, UPDATE, AND MERGE Statements Richard Alonso source 5
SUGI 1990 The Painless Path to Release 6.06 of the SAS System Robina G. Thornton,
John C. Boling		 source 6
SUGI 1990 The SAS System - A Full-Featured Utility and Language for Programmers Steven J. First source 10
SUGI 1990 The SAS System for PCs: Some Speed Surprises Richard H. Browne source 10
SUGI 1990 Using Relational Database Technology and the SAS System to Develop SAS' System Applications under the VMS "Operating System Jean Moorefield source 7
SUGI 1990 Using the FORMAT Procedure to Enhance the Subsetting IF Statement in Table Lookup Tom Krasner source 6
SUGI 1990 Using the SAS System to Prepare Hospital Inpatient Claims Data for Case-Mix Analyses Daniel R. Bretheim source 8
SUGI 1990 Writing Efficient SAS/DB2 Applications in Version 6 of the SAS System Charles A. Jacobs III source 7
NESUG 1989 Efficient Processing of Large Datasets Howard Levine 10
NESUG 1989 Using the SAS System for Strategic Health Planning Stephan Parente 3
SUGI 1989 A Robust Code for Producing Stratified, Blocked Randomizations Utilizing VMS' Macro Facilities and the SET Statement with the POINT Option David W. Main source 4
SUGI 1989 An Information Centre SAS Consultant's Opinion on How to Build a "BAD "SAS Program F. W. Bruce Densmore source 6
SUGI 1989 Application Development Using SAS Software: A Case Study Bruce Leister source 4
SUGI 1989 Benchmarking the SAS System, Release 6.03 C. Brian Towey source 3
SUGI 1989 Comparison of VMSORT, SyncSort, PLSORT and SORTT under VM/CMS Using Release 5.18 of the SAS System Kirsty Nunez source 5
SUGI 1989 Fast-Tracking for the Clinical Scientist Using SAS Software Caroline M. Bobik,
Arthur C. Singer		 source 6
SUGI 1989 Performance Tips for Using the SAS System on Personal Computers Brett A. Knox source 4
SUGI 1989 Processing and Analyzing Consumer Panel Data Charles F. Hofacker source 4
SUGI 1989 The SAS System under UNIX and Derivative Operating Systems: New Features, New Power Bernadette H. Johnson source 10
SUGI 1989 Use of the SAS System for a Three-File Application of Patients, Donors, and Transfusions: Use of the MERGE, FIRST, and LAST Statements and the FORMAT Procedure Alfred J. Anderson source 4
SEUGI 1988 Suggestions on SAS Efficiency Tony Payne source 6
SUGI 1988 An External File Interface for ISAM Files under VMS Wayne Hester source 3
SUGI 1988 An Imputation System for a Large-Scale Survey Eugene M. Burns,
Doug Valcour		 source 6
SUGI 1988 Hosting a Mini SUGI at Your Site John Chenier,
Loretta Golby		 source 3
SUGI 1988 Low Maintenance Programming Techniques Robert Virgile source 10
SUGI 1988 SAS User-generated Inquiry (SUGINQ) Barbara E. Lee,
Andrew S. Schlegel		 source 4
SUGI 1988 Sort Efficiency Using the SAS System Under VM/CMS Robert L. Mahan source 3
SUGI 1988 Sorting Massive Data Sets David S. Rubin source 4
SUGI 1988 Spatial Pattern Analysis John M. LaBore source 6
SUGI 1987 Comparison of Data Processing Procedures for the Statistical Analysis of Visual Field Data Katherine Freeman source 4
SUGI 1987 Comparison of PROC SORTT, Syncsort, and Plsort Janice M.B. Buck source 5
SUGI 1987 Creating Selectively a Permanent SAS Software Format Library from a Humongous Dictionary Judith B. Gabor source 4
SUGI 1987 Lean and Mean: A Guide to Self Discipline in Using the SAS System Peter Kretzman source 3
SUGI 1987 Report Writing with PROC PRINT and PROC QPRINT James A. LeGoullon,
Debra Martinson		 source 8
SUGI 1987 Using the SAS System with Another Programming Language Frank R. Fry,
Hank Leddon		 source 3
SEUGI 1986 Performance and Capacity Planning Considerations for the SAS System on Mainframes Allan Russell source 5
SEUGI 1986 SAS/SHARE Software: Concurrent Update of SAS Data Libraries Jack Wallace source 9
SUGI 1986 Efficient Use of PROC SUMMARY Suzanne Clark,
Liz Konowal		 source 6
SUGI 1986 Management of Time Series SAS Data Bases William R. MacHose source 5
SUGI 1986 Managing VM/SP: An Analysis of the CP Nucleus Using SAS Software Stuart D. Guthrie source 2
SUGI 1986 Performance and Capacity Planning Considerations for the SAS System on Mainframes Daniel J. Squillace source 5
SUGI 1986 Project Management Using SAS/OR Software Radhika V. Kulkarni source 12
SUGI 1986 SAS/SHARE Software: Concurrent Update of SAS Data Libraries Jack Wallace source 9
SUGI 1986 The Basics of SAS Software: The BY Statement, When You Need It and When You Don't Peter L. Rikard source 2
SUGI 1985 Individualized Reporting using PROC CHART Alissa S. Bernholc source 4
SUGI 1985 PROC TABULATE Applications Andrew A. Norton source 7
SUGI 1985 The SUMMSTAT Macro: Getting More Mileage Out of PROC SUMMARY Michael D. Rhoads source 6
SUGI 1985 Using the SAS Macro Facility to Tabulate Counts and Percents for Individual Variable Values Thomas J. Higgins,
Rich Potter		 source 6
SUGI 1984 Data Base Design for Decision Support Systems Gregory N. Smith source 6
SUGI 1984 Managing a Data=Base of Permanent SAS Data Sets Joshua Sharlin source 9
SUGI 1984 Use of SAS Software to Process and Analyze Animal Skin Tumor Response Data from a Data Acquisition System R. Dana Laurie,
Judy A. Stober,
Freda Truman,
Thomas Wessendarp		 source 6
SUGI 1983 A Dynamic Report Writer: Fitting One Structure to Multiple Outputs Jesse Gary,
Ann Kennedy Handler		 source 6
SUGI 1983 A Macro for Including a Response Grid on SAS/GRAPH G3D Plots John Hackman source 4
SUGI 1983 Data Reduction and Summarization Joshua Sharlin source 8
SUGI 1983 Stratified Randomization Using SAS Joanne DiPietro,
Sampson Tu		 source
SUGI 1983 Transferring and Processing a "Very Large "Data Set from a PDP 11/34 to an IBM 360/370 Keith E. Muller,
Kathleen J. Seiple		 source 6
SUGI 1982 Constructing an Index from Hardcopy Documents Using SAS Bob Sturgeon source
SUGI 1982 Selecting Subset of Data Donald J. Henderson source
SUGI 1981 Bibliographic Information Storage and Retrieval System (BISARS) Manjeet S. Chhinnan,
Leonard C. Moon		 source 10
SUGI 1980 Cross-Classification Matrix Output Program James H. Kuzirian source 6
SUGI 1980 Using Traffic Accident Reports for Improving Emergency Medical Services Resource Allocation Paul D. Krause source 6
SUGI 1978 Conversational Instruction in the Statistical Analysis System Ione H. Cockrell,
Dorsey A. Glenn		 source 4
SUGI 1978 The Use of SAS for the Analysis of Family Studies C. Robert Cloninger,
J. Philip Miller,
Deborah Powell		 source 6
SUGI.ONE 1976 Non-Statistical Uses of SAS Steven Mays source 15

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