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1069 papers and 12 presentations; 842 titles.

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Conference × Year × Title × Authors Extras Pages
WUSS 2026 The Essentials of SAS Dates and Times Derek P. Morgan source 24
PharmaSUG 2026 Applications of PROC COMPARE to Parallel Programming and other projects Jayanth Iyengar source 21
PharmaSUG 2026 Efficiency Techniques in SAS 9.4 Stephen B. Sloan source 9
PharmaSUG 2026 Evaluation of Azure OpenAI ChatGPT API as Code Assistance Tools for Statistical Programming in SAS, R and Python. Ajay Gupta,
Misikir Tesfaye		 source 25
PharmaSUG 2026 SAS Programming techniques for efficiency and code optimization Jayanth Iyengar source 27
PHUSE APAC 2026 Summary Outputs Made Simple: A Mirror View for SAS Programmers Exploring R Venkata Koteswara Rao Rayala source
poster source		 7
MWSUG 2025 Applications of PROC COMPARE to Parallel Programming and other projects Jayanth Iyengar source 21
MWSUG 2025 Have a Date with ISO? Using PROC FCMP to Convert Dates to ISO 8601 Richann J. Watson source 15
MWSUG 2025 Highlighting the Differences: PROC COMPARE in Excel Jane Eslinger source 12
SESUG 2025 Efficiency Techniques in SAS 9 Stephen B. Sloan 9
SESUG 2025 Going from Zero to Report Ready with PROC TABULATE Rachel Straney 13
SESUG 2025 Have a Date with ISO? Using PROC FCMP to Convert Dates to ISO 8601 Richann J. Watson 15
SESUG 2025 Lookup Tables (LUT) in SAS and Data-Driven Programming Imelda C. Go,
Abbas S. Tavakoli		 17
WUSS 2025 Applications of PROC COMPARE to Parallel Programming and other projects Jayanth Iyengar source 21
WUSS 2025 Have a Date with ISO? Using PROC FCMP to Convert Dates to ISO 8601 Richann J. Watson source 15
WUSS 2025 Highlighting the Differences: PROC COMPARE in Excel Jane Eslinger source 12
PharmaSUG 2025 A discussion of the new ADaM guidance (ADNCA and ADPPK) for pharmacokinetics. Luke Reinbolt source 3
PharmaSUG 2025 Efficiency Techniques in SAS 9 Stephen B. Sloan source 9
PHUSE US 2025 Data Quality in Pooled Studies: Overcoming Challenges and Ensuring Accuracy Monika Ludwinska source
presentation source		 11
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 The Everytown Research database: Using SAS analytic procedures to analyze mass shootings Jayanth Iyengar source 31
SESUG 2024 Customizing SAS Studio in Viya - The Next Step Danny R. Modlin source 23
SESUG 2024 The Dreaded Data Type Conversion, Character to Numeric, Numeric to Character, a Deep Dive. Emily F. Zucker source 12
SESUG 2024 The SAS Data Set Missing Values Analyzer Michael A. Raithel source 20
WUSS 2024 A SAS Macro to Calculate Therapeutic Intensity Score Rachelle Juan source 9
WUSS 2024 How RANK are your deciles? Using PROC RANK and PROC MEANS to create deciles based on observations and numeric values Lisa A. Mendez source 9
WUSS 2024 LAST CALL to Get Tipsy with SAS: Tips for Using CALL Subroutines Lisa A. Mendez,
Richann J. Watson		 source 20
WUSS 2024 The Essentials of SAS Dates and Times Derek P. Morgan source 23
WUSS 2024 The Everytown Research database: Using SAS analytic procedures to analyze mass shootings Jayanth Iyengar source 31
PharmaSUG CN 2024 Seeing is not always believing - The data you observe and the encoding behind its storage in SAS Tiantian He source 8
PharmaSUG 2024 LAST CALL to Get Tipsy with SAS: Tips for Using CALL Subroutines Lisa A. Mendez,
Richann J. Watson		 source 20
PharmaSUG 2024 The Art of Defensive SAS Programming Philip R. Holland source 28
PHUSE US 2024 Analysis of Same Objective - Different SAS Procedures: How to Choose a SAS Procedure Wisely for a Statistical Analysis? Pradeep Acharya,
Ephicacy Lifescience		 source
presentation source		 9
PHUSE US 2024 Programming Approaches for Integrated Summary of Efficacy (ISE) Development in Oncology Narendra Babu Kolisetty,
Saigovind Chenna		 source
presentation source		 7
PHUSE EU 2023 SAS Arrays in R Way Jagadish Katam source
presentation source		 8
PHUSE EU 2023 Transparent is the New Black - Improving Data Findability Through Better Clinical Metadata Lukas Kniola source
presentation source		 16
WUSS 2023 10 Quick Tips for Getting Tipsy with SAS Lisa A. Mendez,
Richann J. Watson		 source 16
WUSS 2023 Application of Fuzzy Matching Techniques Using SAS Software Kirk Paul Lafler,
Stephen B. Sloan		 source 30
WUSS 2023 Reducing the Space Requirements of SAS Data Sets without Sacrificing any Variables or Observations Stephen B. Sloan source 7
WUSS 2023 The Essentials of SAS Dates and Times Derek P. Morgan source 24
SESUG 2023 10 Quick Tips for Getting Tipsy with SAS Richann J. Watson,
Lisa A. Mendez		 source 16
SESUG 2023 A Quick Look at Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan,
Kirk Paul Lafler		 source 29
SESUG 2023 Application of Fuzzy Matching Techniques Using SAS Software Kirk Paul Lafler,
Stephen B. Sloan		 source 30
SESUG 2023 Best Practices for Efficiency and Code Optimization in SAS programming Jayanth Iyengar source 20
SESUG 2023 MISSING Mysteries for SAS Beginners Jinson J. Erinjeri source 9
SESUG 2023 Reducing the Space Requirements of SAS Data Sets without Sacrificing any Variables or Observations Stephen B. Sloan source 7
SESUG 2023 SAS Program Efficiency for Beginners Bruce F. Gilsen source 15
SESUG 2023 The Everytown Research database: Using SAS analytic procedures to analyze mass shootings Jayanth Iyengar source 31
SESUG 2023 Translating Common Data Visualizations from PROC SGPLOT to ggplot2 Austin R. Brown source 11
PharmaSUG 2023 10 Quick Tips for Getting Tipsy with SAS Lisa A. Mendez,
Richann J. Watson		 source 16
PharmaSUG 2023 A Quick Look at Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan,
Kirk Paul Lafler		 source 29
PharmaSUG 2023 Best Practices for Efficiency and Code Optimization in SAS programming Jayanth Iyengar source 20
PharmaSUG 2023 Have a Date with ISO? Using PROC FCMP to Convert Dates to ISO 8601 Richann J. Watson source 15
PharmaSUG 2023 Tired of Manual Language Translation? Give it a REST! Shawn Hopkins,
Matthew Ness		 source 7
PharmaSUG 2023 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 4
PHUSE EU 2022 Shiny-tise Your PROC COMPAREs: An Interactive Shiny Application for Data Review and Comparisons [presentation] Paul Jenkins source
video		 34
SESUG 2022 A SAS Macro for Implementing a Nonparametric Control Charting Scheme for Individual Observations Austin R. Brown source 11
SESUG 2022 Application of Fuzzy Matching Techniques Using SAS Software - A Panel Discussion Kirk Paul Lafler,
Stephen B. Sloan		 source 30
SESUG 2022 Functions (and More!) on CALL! Richann J. Watson,
Louise S. Hadden		 source 33
SESUG 2022 Have a Date with ISO? Using PROC FCMP to Convert Dates to ISO 8601 Richann J. Watson source 15
SESUG 2022 PROC IMPORT: Controlling SAS Data Types and Character Variable Lengths When Reading CSV Files Imelda C. Go,
Abbas S. Tavakoli		 source 5
SESUG 2022 Reducing the Space Requirements of SAS Data Sets without Sacrificing any Variables or Observations Stephen B. Sloan source 7
SESUG 2022 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 5
SESUG 2022 Working with large decimals: how precise is my data with SAS? Osmel Brito Bigott,
Yenireth Gil,
María Victoria Daboín		 source 4
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 Explore Your Data and Avoid Surprises Dan Konkler,
Gilbert Ramos		 source 16
WUSS 2022 Functions (and More!) on CALL! Richann J. Watson,
Louise S. Hadden		 source 33
WUSS 2022 Have a Date with ISO? Using PROC FCMP to Convert Dates to ISO 8601 Richann J. Watson source 15
WUSS 2022 The Essentials of SAS Dates and Times Derek P. Morgan source 25
PharmaSUG 2022 A Quick Look at Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan,
Kirk Paul Lafler		 source 29
PharmaSUG 2022 From Codelists to Format Library Nancy Brucken source 6
PharmaSUG 2022 Functions (and More!) on CALL! Richann J. Watson,
Louise S. Hadden		 source 33
PharmaSUG 2022 How RANK are your deciles? Using PROC RANK and PROC MEANS to create deciles based on observations and numeric values Lisa A. Mendez source 10
PharmaSUG 2022 R syntax for SAS programmers Max Cherny source 12
PharmaSUG 2022 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 5
PHUSE EU 2021 Differences in Performance Between the Options KEEP and WHERE as Compared to the Statements KEEP and IF in SAS Data Steps Ruurd Bennink source
video
presentation source		 8
SESUG 2021 A Macro to Utilize a Nonparametric Multiple Stream Process Quality Control Chart in SAS Austin R. Brown source 10
SESUG 2021 A Quick Look at Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan,
Kirk Paul Lafler		 source 28
SESUG 2021 Back to Basics: Running an Analysis from Data to Refinement in SAS Deanna Naomi Schreiber-Gregory source 21
SESUG 2021 Copying Data Between SAS and JSON Files Bruce F. Gilsen source 30
SESUG 2021 Moving beyond Frequency and Percentage to Chi Square, t-Tests, and Correlation Analysis Kelly D. Smith source 12
SESUG 2021 SAS Macro to Identify Potentially Obsolete Variables in a File Thomas E. Billings source 7
SESUG 2021 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 4
SESUG 2021 Using the SAS HPBIN Procedure to Create Format Value Ranges for Numeric Variables Michael A. Raithel source 9
PharmaSUG 2021 A Quick Look at Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan,
Kirk Paul Lafler		 source 28
PharmaSUG 2021 Automated CONSORT Flow Diagram Generation by SAS Programming Ryan Yu source 10
PharmaSUG 2021 Back to Basics: Running an Analysis from Data to Refinement in SAS Deanna Naomi Schreiber-Gregory source 21
PharmaSUG 2021 Better to Be Mocked Than Half-Cocked: Data Mocking Methods to Support Functional and Performance Testing of SAS Software Troy Martin Hughes source 17
PharmaSUG 2021 CDISC ADaM Phases, Periods, and Subperiods: A Case Study Jennifer K. Fulton source 9
PharmaSUG 2021 Data Visualization in Real World Data (RWD) and Health Economics Outcomes Research (HEOR) using (Statistical Analysis Software) SAS Swapna Ambati source 45
PharmaSUG 2021 Evaluating anthropometric growth endpoints with Z-Scores and Percentiles Snehal Sanas,
Pradeep Umapathi		 source 11
PharmaSUG 2021 How to Write a SAS Open Code Macro to Achieve Faster Updates Frederick A. Cieri source 32
PharmaSUG 2021 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 4
SGF 2021 Back to Basics: Running an Analysis from Data to Refinement in SAS Deanna Naomi Schreiber-Gregory source
presentation		 20
SGF 2021 Copying Data Between SAS and JSON Files Bruce F. Gilsen source
presentation		 30
SGF 2021 It's in My DNA: A SAS Program to Assist With Finding Unknown Relatives Richard D. Langston source 12
SGF 2021 Making SAS Tables Smaller and Faster Without Data Loss Glen Becker source
presentation		 16
SGF 2021 The SAS Data Set Characterization Utility Michael A. Raithel source 10
SGF 2021 Twenty Ways to Run Your SAS Programs Faster and Use Less Space Stephen B. Sloan source 4
PHUSE EU 2020 SAS v. R vs. Python - A Comparison of Data Exploration Techniques Nathanael Cockburn source
video
presentation source		 12
SESUG 2020 A Game Plan for Beating the IF-THEN-ELSE Overhead in DATA Steps Jason J. Su source 20
SESUG 2020 Data Step versus Everybody: Approaching Problems as a Beginning Coder Brian K. Varney source 13
SESUG 2020 Reducing the Space Requirements of SAS Data Sets without Sacrificing any Variables or Observations Stephen B. Sloan source 7
SESUG 2020 Tales from the Help Desk: How the Problems Get Solved Bruce F. Gilsen source 14
SESUG 2020 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 4
SGF 2020 Five Simple Ways to Know If Variables in a Table Are All Missing Xia Ke Shan,
Kurt Bremser		 source 6
SGF 2020 From Santiago to the Spirit Lake Nation: 30 Things I Learned in 30 Years as a Statistical Consultant AnnMaria De Mars source 20
SGF 2020 Next Steps: Important Considerations for Moving Your Data and Formats into CAS Kevin Russell source 14
SGF 2020 Some _FILE_ Magic Michael S. Zdeb source 7
SGF 2020 The Essentials of SAS Dates and Times Derek P. Morgan source 25
SGF 2020 Twenty Ways to Run Your SAS Programs Faster and Use Less Space Stephen B. Sloan source 5
PharmaSUG 2020 %MVMODELS: a Macro for Survival and Logistic Analysis Jeffrey P. Meyers source 23
PharmaSUG 2020 A SAS Macro for Dynamic Assignment of Page Numbers Manohar Modem,
Bhavana Bommisetty		 source 10
PharmaSUG 2020 Better to Be Mocked Than Half-Cocked: Data Mocking Methods to Support Functional and Performance Testing of SAS Software Troy Martin Hughes source 17
PharmaSUG 2020 Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan,
Kirk Paul Lafler		 source 28
PharmaSUG 2020 Library Datasets Summary Macro %DATA_SPECS Jeffrey P. Meyers source 7
PharmaSUG 2020 Transpose Procedure: Turning it Around Again Janet E. Stuelpner source 8
PHUSE US 2020 Code Generator to Check Truncated Values in Derived Datasets Proma Mukherjee source
presentation source		 5
PHUSE US 2020 Generating TFLs in R - Challenges and Successes Compared to SAS Amol Wayker,
Andrew Miskell		 source
presentation source		 10
PHUSE US 2020 R syntax for SAS programmers Max Cherny source
presentation source		 12
PHUSE EU 2019 Understanding Regular Expression and its Application in SAS Using PRX (Perl regEx) Functions Jagadish Katam source
presentation source		 8
SESUG 2019 Advanced Statistical Modeling within Machine Learning and Big Data Analytics Niloofar Ramezani,
George Mason		 source 16
SESUG 2019 Better to Be Mocked Than Half-Cocked: Data Mocking Methods to Support Functional and Performance Testing of SAS Software Troy Martin Hughes source 17
SESUG 2019 Dashboards for SAS Visual Analytics Laura Oliver source 15
SESUG 2019 Data Step versus Everybody: Approaching Problems as a Beginning Coder Brian K. Varney source 12
SESUG 2019 Data-driven Programming Techniques using SAS Macros to Semi-automate Generation of Descriptive Tables in Healthcare Research Katie Mercaldi source 37
SESUG 2019 Doing More with the SGPLOT Procedure Joshua M. Horstman source 18
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 Probability Plots for Exploratory Data Analysis Dennis J. Beal,
Oak Ridge		 source 8
SESUG 2019 Reducing the Space Requirements of SAS Data Sets without Sacrificing any Variables or Observations Stephen B. Sloan source 7
SESUG 2019 SAS PROC IMPORT Troubleshooting Guide Imelda C. Go,
Wendi L. Wright		 source 12
SESUG 2019 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 4
SESUG 2019 When in Doubt, Shell It Out Timothy Egan source 9
SCSUG 2019 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 6
MWSUG 2019 Doing More with the SGPLOT Procedure Joshua M. Horstman 18
MWSUG 2019 From FREQing Slow to FREQing Fast: Facilitating a Four-Times-Faster FREQ with Divide-and-Conquer Parallel Processing Troy Martin Hughes 22
WUSS 2019 A Quick Look at Fuzzy Matching Programming Techniques Using SAS Software Kirk Paul Lafler,
Stephen B. Sloan		 source 28
WUSS 2019 Better to Be Mocked Than Half-Cocked: Data Mocking Methods to Support Functional and Performance Testing of SAS Software Troy Martin Hughes source 17
WUSS 2019 Doing More with the SGPLOT Procedure Joshua M. Horstman source 18
PharmaSUG 2019 Reducing the Space Requirements of SAS Data Sets without Sacrificing any Variables or Observations Stephen B. Sloan source 7
PharmaSUG 2019 Reimagining Statistical Reports with R Shiny Sudharsan Dhanavel,
Harinarayanan Gopichandran		 source 6
PharmaSUG 2019 The Art of Defensive Programming: Coping with Unseen Data Philip R. Holland source 8
SGF 2019 Airbnb New York City: Demystifying the Superhost Program Soumya Ranjan Kar Choudhury source 7
SGF 2019 Improve Your AML Monitoring While Reducing Costs with SAS Viya Calvin Crase,
Chris St. Jeor		 source 11
SGF 2019 Interaction between SAS and Python for Data Handling and Visualization Yohei Takanami source 22
SGF 2019 Power Up Your Reporting Using the SAS Output Delivery System Chevell T. Parker source 21
SGF 2019 Re-Mapping a Bitmap Paul M. Dorfman,
Lessia S. Shajenko		 source 33
SGF 2019 SWAT's it all about? SAS Viya for Python Users Carrie Foreman source 18
SGF 2019 The Essentials of SAS Dates and Times Derek P. Morgan source 25
SGF 2019 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 6
PHUSE US 2019 An Open Clinical Data Quality Framework Vineet Jain source
presentation source		 11
PHUSE US 2019 Check Your Data: Tools for Automating Data Assessment Paul Stutzman source
presentation source		 10
SCSUG 2018 'V' for ... Variable Information Functions to the Rescue Richann J. Watson,
Karl Miller		 source 16
SCSUG 2018 Predicting the Federal Reserve?s Next Federal Funds Rate Decisions Nhan Nguyen source 13
SCSUG 2018 Secret to SAS Dates Alison Little source 9
PHUSE EU 2018 Adjusting for Daylight Saving Times [presentation] Guido Wendland source 22
PHUSE EU 2018 The Data Step Crystal Ball: Observing Future Rows Michael Allie source
presentation source		 9
SESUG 2018 A Beginner's Babblefish: Basic Skills for Translation Between R and SAS Sarah Woodruff source 19
SESUG 2018 DO the Loop De Loop! Jennifer Hoff Lindquist source 8
SESUG 2018 Doing More with the SGPLOT Procedure Joshua M. Horstman source 18
SESUG 2018 Efficient Use of Disk Space in SAS Application Programs Thomas E. Billings source 15
SESUG 2018 Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan source 29
SESUG 2018 Going from Zero to Report Ready with PROC TABULATE Rachel Straney source 13
SESUG 2018 Reducing the Space Requirements of SAS Data Sets without Sacrificing any Variables or Observations Stephen B. Sloan source 6
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 What's the Difference? Using the PROC COMPARE to find out. Larry Riggen 19
WUSS 2018 Efficient Use of Disk Space in SAS Application Programs Thomas E. Billings source 14
WUSS 2018 From FREQing Slow to FREQing Fast: Facilitating a Four-Times-Faster FREQ with Divide-and-Conquer Parallel Processing Troy Martin Hughes source 22
WUSS 2018 The Missing Link: A Robust Macro for Recoding General Missing Data Values Hunter Glanz,
Joshua M. Horstman		 source 6
PHUSE US 2018 Missing Data Imputation and Its Effect on the Accuracy of Classification Edwin Ponraj Thangarajan,
Giri Balasubramanian		 source
presentation source		 15
PharmaSUG 2018 Automation of STDM dataset integration and ADaM dataset formation Rinki Jajoo,
William Wei		 source 11
PharmaSUG 2018 Discover the Deeper DATA Step Timothy J. Harrington source 14
PharmaSUG 2018 From FREQing Slow to FREQing Fast: Facilitating a Four-Times-Faster FREQ with Divide-and-Conquer Parallel Processing Troy Martin Hughes source 23
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 Using SAS GTL to Visualize Data When there is Too Much of It to Visualize Nathaniel Derby,
Perry Watts		 source 22
SGF 2018 An Easier and Faster Way to Untranspose a Wide File Joe Matise,
Arthur S. Tabachneck,
Matthew J. Kastin,
Gerhard Svolba		 source 36
SGF 2018 Efficient Use of Disk Space in SAS Application Programs Thomas E. Billings source 14
SGF 2018 Five Approaches for High-Performance Data Loading to the SAS Cloud Analytic Services Server Robert Collum source 14
SGF 2018 Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan,
Kirk Paul Lafler		 source 24
SGF 2018 Identifying Duplicate Variables in a SAS Data Set Bruce F. Gilsen source 15
SGF 2018 SAS and Python: The Perfect Partners in Crime Carrie Foreman source 14
SGF 2018 The Art of Defensive Programming Philip R. Holland source 9
SGF 2018 What's New in SAS Data Connectors for SAS Viya Salman Maher,
Chris DeHart		 source 25
SGF 2018 What's New in SAS Data Management Nancy A. Rausch source 11
SESUG 2017 A Software Toolkit for Data Management Kim Chantala,
Jean Robinson,
Helen Smith		 source 19
SESUG 2017 From FREQing Slow to FREQing Fast: Facilitating a Four-Times-Faster FREQ with Divide-and-Conquer Parallel Processing Troy Martin Hughes source 22
SESUG 2017 Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan,
Kirk Paul Lafler		 source 25
SESUG 2017 Identifying Duplicate Variables in a SAS Data Set Bruce F. Gilsen source 15
SESUG 2017 Introduction to ODS Graphics Chuck Kincaid,
Experis Business		 source 18
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 Tales from the Help Desk: Solutions to Common DATA Step Tasks Bruce F. Gilsen source 19
SCSUG 2017 Fuzzy Matching Programming Techniques Using SAS Software Kirk Paul Lafler,
Stephen B. Sloan		 source 25
SCSUG 2017 Pruning the SASLOG - Digging into the Roots of NOTEs, WARNINGs, and ERRORs Andrew T. Kuligowski source 10
SCSUG 2017 Text Mining on Donor's Conversation with Solicitors Harsh Gupta source 12
MWSUG 2017 The Essentials of SAS Dates and Times Derek P. Morgan 20
WUSS 2017 A Quick Look at Fuzzy Matching Programming Techniques Using SAS Software Kirk Paul Lafler,
Stephen B. Sloan		 source 25
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 2017 Check Your Data: Tools for Automating Data Assessment Paul Stutzman source 12
PharmaSUG 2017 Put the "K" in Your KAB: Know How to Efficiently Program with Knowledge, Attitudes, and Behavior Survey Data Cara Lacson,
Jasmeen Hirachan		 source 16
PharmaSUG 2017 The %NEWSURV Family of Macros: An Update on the Survival Plotting Macro %NEWSURV and an Introduction to Expansion Macros Jeffrey P. Meyers source 21
PharmaSUG 2017 The REPORT Procedure and ODS Destination for Microsoft Excel: The Smarter, Faster Way to Create First-Rate Excel Reports Jane Eslinger source 20
SGF 2017 Automate Validation of CDISC SDTM with SAS Sy J. Truong source 11
SGF 2017 Formats Are Your Friends Anita Measey,
Lei Sun		 source 9
SGF 2017 Getting Classy: A SAS Macro for CLASS Statement Automation Erica Goodrich,
Daniel Sturgeon,
Kathryn Schurr		 source
pdf		 12
SGF 2017 Going Green With Your SAS Applications Michael A. Raithel source 17
SGF 2017 Good Programming Practice When Working Across SAS on a PC and SAS on UNIX James Zhao source 5
SGF 2017 Introduction to ODS Graphics Chuck Kincaid source
zip		 18
SGF 2017 SAS Macros for Binning Predictors with a Binary Target Bruce S. Lund source 13
SGF 2017 Something for Nothing? Adding Flag Variables Using Group Descriptive Statistics and PROC SQL Sunil Kumar Gupta source 8
SGF 2017 Tales from the Help Desk: Solutions to Common DATA Step Tasks Bruce F. Gilsen source 19
SGF 2017 The REPORT Procedure and ODS Destination for Microsoft Excel: The Smarter, Faster Way to Create First-Rate Excel Reports Jane Eslinger source 20
SCSUG 2016 Good Programming Practice when Working Across PC SAS and Unix SAS James Zhao source 5
SCSUG 2016 PRESTO! CHANGEO! Making Data Transformations Look Like Magic Patricia Hettinger source 13
SCSUG 2016 Time Saver for All: A Macro Toolbox Philip Jou source 20
SESUG 2016 An Easy Route to a Missing Data Report with ODS + PROC FREQ + A Data Step Michael S. Zdeb source 10
SESUG 2016 SAS Formats: Effective and Efficient Harry Droogendyk source 18
SESUG 2016 Some _FILE_ Magic Michael S. Zdeb source 7
SESUG 2016 Sorting a Bajillion Records: Conquering Scalability in a Big Data World Troy Martin Hughes source 29
SESUG 2016 Tales from the Help Desk 7: Solutions to Common SAS Tasks Bruce F. Gilsen source 11
SESUG 2016 Universal File Flattener David A. Vandenbroucke source 12
SESUG 2016 What Do You Mean My CSV Doesn't Match My SAS Dataset? Patricia Guldin source 10
PHUSE EU 2016 Automating Frequency Tables with ClinXport SAS Macro Package Loizos Nicolaou source
presentation source		 6
MWSUG 2016 Performing Pattern Matching by Using Perl Regular Expressions Arthur X. Li 12
MWSUG 2016 Sorting a Bajillion Records: Conquering Scalability in a Big Data World Troy Martin Hughes 29
PharmaSUG CN 2016 Performing Pattern Matching by Using Perl Regular Expressions Arthur X. Li 12
PharmaSUG CN 2016 Why not Picture Format? Gaoyang Li 16
WUSS 2016 A SAS macro for quick descriptive statistics Jenna Carlson source 4
WUSS 2016 Errors, Warnings, and Notes (Oh My) A Practical Guide to Debugging SAS Programs Lora D. Delwiche,
Susan J. Slaughter		 source 16
WUSS 2016 Sorting a Bajillion Records: Conquering Scalability in a Big Data World Troy Martin Hughes source 29
WUSS 2016 The REPORT Procedure: A Primer for the Compute Block Jane Eslinger source 23
PharmaSUG 2016 Compilation of Errors, Warnings and Notes! Anusuiya Ghanghas,
Houde Zhang,
Rajinder Kumar		 source 7
PharmaSUG 2016 Go Compare: Flagging up some underused options in PROC COMPARE Michael Auld source 14
PharmaSUG 2016 Handling Interim and Incomplete Data in a Clinical Trials Setting Paul Stutzman source 13
PharmaSUG 2016 Performing Pattern Matching by Using Perl Regular Expressions Arthur X. Li source 12
PharmaSUG 2016 PrecMod: An Automated Precision SAS Macro for Random Effects Models Jesse Albert Canchola,
Pari Hemyari		 source 15
PharmaSUG 2016 Quick and Efficient Way to Check the Transferred Data Divyaja Padamati source 6
PharmaSUG 2016 SAS Functions You May Have Been MISSING Mira Shapiro source 8
PharmaSUG 2016 SAS Techniques for Managing Large Datasets Rucha Landge source 7
SGF 2016 How to STRIP Your Data: Five Go-To Steps to Assure Data Quality Michael Santema,
Fagen Xie		 source 6
SGF 2016 Improving Performance of Memory-Based Reasoning Model by Using Weight of Evidence Coded Categorical Variables Vinoth Kumar Raja,
Goutam Chakraborty,
Vignesh Dhanabal		 source 6
SGF 2016 Introduction to ODS Graphics Chuck Kincaid source 18
SGF 2016 Masking Data to Obscure Confidential Values: A Simple Approach Bruce F. Gilsen source 19
SGF 2016 Missing Values: They Are NOT Nothing Justin Jia,
Shan Shan Lin		 source 19
SGF 2016 Performing Pattern Matching by Using Perl Regular Expressions Arthur X. Li source
zip		 12
SGF 2016 Predicting the Current Market Value of a Housing Unit across the Four Census Regions of the United States Using SAS Enterprise Miner 12.3 Mostakim Tanjil,
Goutam Chakraborty		 source
presentation		 12
SGF 2016 Shuffle Up and Deal! Sampling without Replacement Using SAS Daniel R. Bretheim source
presentation		 9
SGF 2016 Sorting a Bajillion Records: Conquering Scalability in a Big Data World Troy Martin Hughes source
presentation		 29
SGF 2016 Tips and Strategies for Mixed Modeling with SAS/STAT Procedures Phil Gibbs source 21
SGF 2016 Transformers: Revenge of the PROCs Faron Kincheloe source 11
SGF 2016 Universal File Flattener David A. Vandenbroucke source
zip		 15
SGF 2016 Using SASIOTEST to Measure I/O Throughput Mike Jones source 15
SCSUG 2015 Essential Data Step Merge and PROC SQL Join Techniques using SAS University Edition Software Charles E. Shipp source 8
SCSUG 2015 Reassigning Character/Numeric Variables length across multiple datasets for Efficiency and Consistency Srinivas Vanam,
Phaneendhar Reddy Vanam,
Mahipal Vanam		 source 12
MWSUG 2015 'V' for ... Variable Information Functions to the Rescue Richann J. Watson,
Karl Miller		 16
MWSUG 2015 Basic SAS PROCedures for Quick Results Kirk Paul Lafler 19
MWSUG 2015 Essential DATA Step Merge Techniques Using SAS University Edition Software Kirk Paul Lafler,
Charles E. Shipp		 8
MWSUG 2015 In Search of the LOST CARD Andrew T. Kuligowski 9
MWSUG 2015 Introduction to ODS Graphics Chuck Kincaid 18
MWSUG 2015 Let SAS Cleanse Your Dirty Data Kaushal Chaudhary,
Deanna Naomi Schreiber-Gregory		 13
MWSUG 2015 Pruning the SASLOG - Digging into the Roots of NOTEs, WARNINGs, and ERRORs Andrew T. Kuligowski 10
MWSUG 2015 The REPORT Procedure: A Primer for the Compute Block Jane Eslinger 23
MWSUG 2015 Using SAS Programs to Conduct Discriminate Analysis Mengyu Liu 6
PHUSE EU 2015 Dataset-XML - A New CDISC Standard for Data Exchange Julie A. Maddox,
Lex Jansen		 source
presentation source		 16
PHUSE EU 2015 Enhance and Enrich your Plots Using Graph Template Language (GTL) Mathias Lebreton source
presentation source		 17
SESUG 2015 All Data Are (Most Likely) Not Created Equal: A SAS Macro to Compare Structure and Data Across Multiple Datasets Jason L. Salemi source 13
SESUG 2015 Arrays - Data Step Efficiency Harry Droogendyk source 9
SESUG 2015 Automating Preliminary Data Cleaning in SAS Alec Zhixiao Lin source 5
SESUG 2015 Introduction to ODS Graphics Chuck Kincaid,
Experis Business		 source 18
SESUG 2015 Masking Data to Obscure Confidential Values: A Simple Approach Bruce F. Gilsen source 19
SESUG 2015 Tales from the Help Desk 6: Solutions to Common SAS Tasks Bruce F. Gilsen source 11
WUSS 2015 An Example of Discriminate Analysis in SAS using Seal Vocalization Data Mengyu Liu source 6
WUSS 2015 Basic SAS PROCedures for Quick Results Kirk Paul Lafler source 19
WUSS 2015 ODS Output Data Sets That Work for You Stuart D. Long,
Edward Heaton,
Daniel R. Scharf		 source 29
PharmaSUG CN 2015 Fifty Shades of Sorting Haibin Shu,
Elena Rojco,
John He		 6
PharmaSUG CN 2015 SAS Tools for Working with Dataset-XML files Lex Jansen 18
PharmaSUG 2015 Improving Data Quality - Missing Data Can Be Your Friend! Julie Chen source 12
PharmaSUG 2015 Inside the DATA Step: Pearls of Wisdom for the Novice SAS Programmer Joshua M. Horstman,
Britney D. Gilbert		 source 11
PharmaSUG 2015 SAS Tools for Working with Dataset-XML files Lex Jansen source 18
PharmaSUG 2015 The REPORT Procedure: A Primer for the Compute Block Jane Eslinger source 23
PharmaSUG 2015 Using INFILE and INPUT Statements to Introduce External Data into SAS Andrew T. Kuligowski source 18
SGF 2015 Entropy-Based Measures of Weight of Evidence and Information Value for Variable Reduction and Segmentation for Continuous Dependent Variables Alec Zhixiao Lin source 27
SGF 2015 Forest Plotting Analysis Macro %FORESTPLOT Jeffrey P. Meyers,
Qian Shi		 source 18
SGF 2015 Getting Your Hands on Reproducible Graphs Rebecca Ottesen,
Leanne Goldstein		 source 19
SGF 2015 How Best to Effectively Teach the SAS Language Arthur X. Li source 13
SGF 2015 Inside the DATA Step: Pearls of Wisdom for the Novice SAS Programmer Joshua M. Horstman,
Britney D. Gilbert		 source 11
SGF 2015 Kaplan-Meier Survival Plotting Macro %NEWSURV Jeffrey P. Meyers source 20
SGF 2015 Preparing Students for the Real World with SAS Studio AnnMaria De Mars source 18
SGF 2015 Reversing the IN Operator Can Tongur source 4
SGF 2015 Something for Nothing? Adding Group Descriptive Statistics Using SAS PROC SQL Subqueries II Sunil Kumar Gupta source 10
SGF 2015 The Essentials of SAS Dates and Times Derek P. Morgan source
zip		 18
SGF 2015 The REPORT Procedure: A Primer for the Compute Block Jane Eslinger source 23
SGF 2015 Will You Smell Smoke When Your Data Is on Fire? The SAS Smoke Detector: A Scalable Quality Control Dashboard for Transactional and Persistent Data Troy Martin Hughes source 25
SCSUG 2014 Basic SAS PROCedures for Producing Quick Results Kirk Paul Lafler 19
SESUG 2014 Expanding the Use of Weight of Evidence and Information Value to Continuous Dependent Variables for Variable Reduction and Scorecard Development Alec Zhixiao Lin,
Tung-Ying Hsieh		 23
SESUG 2014 The Nuances of Combining Hospital Data Jontae Sanders,
Charlotte Baker,
C. Perry Brown		 source 5
PHUSE EU 2014 An Introduction to SAS Visual Analytics for the Health Care Sector Rhian Pilling source 19
PHUSE EU 2014 Using SAS Arrays Ruurd Bennink source
presentation source		 7
MWSUG 2014 'V' for ... Variable Information Functions to the Rescue Richann J. Watson,
Karl Miller		 16
MWSUG 2014 Basic SAS PROCedures for Quick Results Kirk Paul Lafler 18
MWSUG 2014 Categorical AND Continuous - The Best of Both Worlds Kathryn Schurr,
Ruth Kurtycz		 60
MWSUG 2014 Kaplan-Meier Survival Plotting Macro %NEWSURV Jeffrey P. Meyers 20
MWSUG 2014 ODS Graphics Chuck Kincaid 18
MWSUG 2014 Sailing Over the ACROSS Hurdle in PROC REPORT Cynthia L. Zender 16
MWSUG 2014 SAS 101 For Newbies--Not Too Little, Not Too Much--Just Right Ira Shapiro 42
MWSUG 2014 SAS: Data Manipulation Tools Audrey Yeo 12
MWSUG 2014 Will You Smell Smoke When Your Data Are on Fire? The SAS Smoke Detector: Installing a Scalable Quality Control Dashboard for Transactional and Persistent Data Troy Martin Hughes 25
PharmaSUG CN 2014 Marco free automation to identify and drop variables with all values as missing Vamse Goutam 5
WUSS 2014 A Statistical and Visual Exploration of the Surveillance, Epidemiology, and End Results (SEER) Database Using SAS Christopher Yim source 10
WUSS 2014 Advanced Multiprocessing Techniques for Performance Improvement of SAS Processes Viraj R Kumbhakarna source 17
WUSS 2014 Breaking Eggs to Make Omelets: Distributing Analytic Effort with Scrambled Datasets Margaret Warton,
Howard Moffet,
Andrew Karter		 source 11
WUSS 2014 Don't Let a Bad Date Ruin Your Day: Dealing with Invalid Dates in SAS Lucheng Shao source 9
WUSS 2014 Getting Your Hands on Reproducible Graphics Rebecca Ottesen,
Leanne Goldstein		 source 17
WUSS 2014 Macro free automation to identify and drop variables with all values as missing Amarnath Vijayarangan,
Vamse Goutam		 source 5
WUSS 2014 Quick Tips on Powerful use of Arrays Rahul Pillay source 8
WUSS 2014 The Essentials of SAS Dates and Times Derek P. Morgan source 17
PharmaSUG 2014 'V' for ... Variable Information Functions to the Rescue Richann J. Watson,
Karl Miller		 source 15
PharmaSUG 2014 Atypical Application of PROC SUMMARY John Henry King source 14
PharmaSUG 2014 Healthcare Data Manipulation and Analytics Using SAS Lumin Shen,
Jane Lu		 source 11
PharmaSUG 2014 Kaplan-Meier Survival Plotting Macro %NEWSURV Jeffrey P. Meyers source 19
PharmaSUG 2014 Let the CAT Catch a STYLE Yanhong Liu,
Justin Bates		 source 11
PharmaSUG 2014 QC made easy using macros Prashanthi Selvakumar source 7
PharmaSUG 2014 What do you mean 0.3 doesn-t equal 0.3? Numeric Representation and Precision in SAS and Why it Matters Paul Stutzman source 6
SGF 2014 A Note on Type Conversions and Numeric Precision in SAS: Numeric to Character and Back Again Andrew W. Clapson source 4
SGF 2014 Analyzing U.S. Healthcare Cost and Use with SAS Paul Gorrell source 17
SGF 2014 Basic SAS PROCedures for Producing Quick Results Kirk Paul Lafler source 18
SGF 2014 Direct Memory Data Management Using the APP Tools Paul M. Dorfman source 18
SGF 2014 Errors, Warnings, and Notes (Oh My) A Practical Guide to Debugging SAS Programs Lora D. Delwiche,
Susan J. Slaughter		 source 15
SGF 2014 Let the CAT Catch a STYLE Yanhong Liu,
Justin Bates		 source 11
SGF 2014 Model Variable Selection Using Bootstrap Decision Tree David J. Corliss source 7
SGF 2014 Navigate the SAS Log - GPS Style Ethan Miller,
Rebecca Ottesen		 source 11
SGF 2014 Sailing Over the ACROSS Hurdle in PROC REPORT Cynthia L. Zender source
zip		 16
SGF 2014 Using SAS ODS Graphics Chuck Kincaid source 18
SGF 2014 What You're Missing About Missing Values Christopher J. Bost source 11
WUSS 2013 Hasing in PROC FCMP to Enhance Your Productivity Andrew Henrick,
Donald Erdman,
Stacey M. Christian		 source 15
WUSS 2013 Navigate the SAS Log - GPS Style Rebecca Ottesen,
Ethan Miller		 source 11
WUSS 2013 Need to Find a Date? William Coar source 8
WUSS 2013 Using SAS ODS Graphics Chuck Kincaid source 18
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 Row Is a Row Is a Row, or Is It? A Hands-On Guide to Transposing Data Christianna S. Williams source 17
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 Binning Bombs When You're Not a Bomb Maker: A Code-Free Methodology to Standardize, Categorize, and Denormalize Categorical Data Binning Bombs source 26
SESUG 2013 Going from Zero to Report Ready with PROC TABULATE Rachel Straney source 12
SESUG 2013 Parallel processing techniques for performance improvement for SAS processes: Part II Viraj R Kumbhakarna source 17
SESUG 2013 PROC SURVEYSELECT as a Tool for Drawing Random Samples Taylor Lewis source 12
SESUG 2013 SAS Macros to Conduct Common Biostatistical Analyses and Generate Reports Dana Nickleach,
Yuan Liu,
Adam Shrewsberry,
Kenneth Ogan,
Sungjin Kim		 source 8
SESUG 2013 Summarizing Character Variables Using SAS Proc Report Priya Suresh,
Elizabeth Heath		 source 5
PHUSE EU 2013 ADaM Datasets - Standard and Submission Ready Karin Fleischer Steffensen source
presentation source		 6
PHUSE EU 2013 Proc Import Diagnostic Macro Shan Lee source
presentation source		 8
PHUSE EU 2013 Your SAS Secrets Exposed! [presentation] David Weiner source 19
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 Advanced Multithreading Techniques for Performance Improvement of SAS Processes Viraj R Kumbhakarna 17
MWSUG 2013 PROC SURVEYSELECT as a Tool for Drawing Random Samples Taylor Lewis 12
MWSUG 2013 Using SAS ODS Graphics Chuck Kincaid 18
NESUG 2013 Dropping variables from a large SAS data set when all their values are missing Gwen Babcock 13
NESUG 2013 Enriched Benefits for Better Graphs from Combining GTL Template and ODS Style Yu Yang,
John He		 14
NESUG 2013 Model Variable Selection Using Bootstrapped Decision Tree David J. Corliss 8
NESUG 2013 Using SAS ODS Graphics Chuck Kincaid 18
PharmaSUG 2013 A Strategy to Ensure Non-Estimable Confidence Intervals Having Equal Lower and Upper Confidence Limits are Displayed Correctly Claudia Jimenez-Castro source 5
PharmaSUG 2013 Array, Hurray, Array; Consolidate or Expand Your Input Data Stream Using Arrays William E. Benjamin Jr. source 10
PharmaSUG 2013 Some Strategies for Validating Your Data before Submission Frank L. Roediger,
Sandeep Juneja		 source 8
SGF 2013 A Better Way to Flip (Transpose) a SAS Data Set Arthur S. Tabachneck,
Joe Whitehurst,
Robert Virgile,
Xia Ke Shan		 source 21
SGF 2013 A Flock of C-Stats, or Efficiently Computing Multiple Statistics for Hundreds of Variables Bruce S. Lund,
Steven Raimi		 source 11
SGF 2013 A Row Is a Row Is a Row, or Is It? A Hands-On Guide to Transposing Data Christianna S. Williams source 16
SGF 2013 A Simple Macro to Minimize Data Set Size Amos Shu source
pdf		 4
SGF 2013 Array, Hurray, Array; Consolidate or Expand Your Input Data Stream Using Arrays William E. Benjamin Jr. source 11
SGF 2013 Arrays - Data Step Efficiency Harry Droogendyk source 9
SGF 2013 Do Not Let a Bad Date Ruin Your Day Lucheng Shao source 9
SGF 2013 Errors, Warnings, and Notes (Oh My) A Practical Guide to Debugging SAS Programs Lora D. Delwiche,
Susan J. Slaughter		 source 15
SGF 2013 Getting an Overview of SAS Data in Three Steps Goutam Chakraborty,
Miriam McGaugh,
Shirmeen Virji,
Yu Fu		 source
pdf		 7
SGF 2013 Hashing in PROC FCMP to Enhance Your Productivity Andrew Henrick,
Donald Erdman,
Stacey M. Christian		 source 15
SGF 2013 Introduction to ODS Graphics Chuck Kincaid source 18
SGF 2013 SAS Data Management Techniques: Cleaning and Transforming Data for Delivery of Analytic Data Sets Christopher W. Schacherer source 38
SGF 2013 SAS Enterprise Guide Best of Both Worlds - Is it Right for You? Sunil Kumar Gupta source 9
SGF 2013 Something for Nothing? Adding Group Descriptive Statistics Using PROC SQL Subqueries Sunil Kumar Gupta source 8
SGF 2013 The Concepts and Practice of Analysis with SAS Enterprise Guide Christopher W. Schacherer source 48
SGF 2013 Time Series Data: Anatomy of an ETL Project Leonard Polak source 7
NESUG 2012 An Introduction to Perl Regular Expressions in SAS 9 Selvaratnam Sridharma 11
NESUG 2012 Data Validation and Transformation in ETL Processing with Help of Perl Regular Expressions in SAS Val Volovik 11
NESUG 2012 Efficiently Screening Predictor Variables for Logistic Models Steven Raimi,
Bruce S. Lund		 13
NESUG 2012 Generating Estimates for U.S. Healthcare Costs and Use Paul Gorrell 18
NESUG 2012 Loop-Do-Loop Around Arrays Wendi L. Wright 17
NESUG 2012 Some _FILE_ Magic Michael S. Zdeb 7
NESUG 2012 Sorting a Large Data Set When Space is Limited Selvaratnam Sridharma 4
NESUG 2012 Summing Data with the SUM Function in SAS Anjan Matlapudi,
Daniel Knapp		 11
NESUG 2012 Using SAS ODS Graphics Chuck Kincaid 18
SCSUG 2012 Basic SAS PROCedures for Producing Quick Results Kirk Paul Lafler source 17
SCSUG 2012 SAS Data Management Techniques: Cleaning and Transforming Data for Delivery of Analytic Data Sets Christopher W. Schacherer source 38
SESUG 2012 Array, Hurray, Array; Consolidate or Expand Your Input Data Stream Using Arrays William E. Benjamin Jr. source 12
SESUG 2012 ODS Output Data Sets That Work for You Stuart D. Long,
Edward Heaton,
Daniel R. Scharf		 source 29
SESUG 2012 The ADDR-PEEK-POKE Capsule: Transporting Data Within Memory and Between Memory and the PDV Paul M. Dorfman source 18
SESUG 2012 Tips and Strategies for Mixed Modeling with SAS/STAT Procedures Kathleen Kiernan,
Jill Tao,
Phil Gibbs		 source 18
SESUG 2012 Using SAS Enterprise Guide to Coax Your Excel Data In To SAS Mira Shapiro source 15
SESUG 2012 Why Does SAS Say That? What Common DATA Step and Macro Messages Are Trying to Tell You Charles E. Mullin,
Kevin Russell		 source 17
MWSUG 2012 Base-SAS PROCedures for Quick Results Kirk Paul Lafler 17
MWSUG 2012 Getting the Code Right the First Time Michael C. Frick 11
MWSUG 2012 Innovative Techniques: Doing More with Loops and Arrays Arthur L. Carpenter 14
MWSUG 2012 Making it Add Up; Diagnosing Merge Issues Using PROC SQL and Simple Arithmetic Eric Schreiber 6
MWSUG 2012 New Vs. Old - Under the Hood with Procs CONTENTS and COMPARE Patricia Hettinger 12
MWSUG 2012 SAS Data Management Techniques: Cleaning and Transforming Data for Delivery of Analytic Data Sets Christopher W. Schacherer 38
MWSUG 2012 Tips and Strategies for Mixed Modeling with SAS/STAT Procedures Kathleen Kiernan,
Jill Tao,
Phil Gibbs		 18
MWSUG 2012 Using SAS ODS Graphics Chuck Kincaid 18
WUSS 2012 Array, Hurray, Array; Consolidate or Expand Your Input Data Stream Using Arrays William E. Benjamin Jr. source 12
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 IF Cand IFN Functions: Alternatives to Simple DATA Step IF-THEN-ELSE, SELECT-END Code and PROC SQL CASE Statements Thomas E. Billings source 8
WUSS 2012 Innovative Techniques: Doing More with Loops and Arrays Arthur L. Carpenter source 14
WUSS 2012 PROC REPORT Unwrapped: Exploring the Secrets behind One of the Most Popular Procedures in Base SAS Software Allison McMahill Booth source 18
WUSS 2012 SAS Enterprise Guide Best of Both Worlds - Is it Right for You? Sunil Kumar Gupta source 9
WUSS 2012 SAS Programming Basics: Getting Your Data In and Understanding the Data Step Helen D. Carey source 13
WUSS 2012 SAS Programming Basics: Producing Results from Your Data Helen D. Carey source 16
PharmaSUG 2012 "V" Can Transpose: Transposing Data Sets Using Functions Nehan Mohan source 4
PharmaSUG 2012 Atypical Applications of Proc Transpose John Henry King source 14
PharmaSUG 2012 Comparing Datasets: Using PROC COMPARE and Other Helpful Tools Deb Cassidy source 9
PharmaSUG 2012 Don't Gamble with Your Output: How to Use Microsoft Formats with ODS Cynthia L. Zender source 30
PharmaSUG 2012 Getting Your Data in Shape With PROC TRANSPOSE Nancy Brucken source 11
PharmaSUG 2012 Innovative Techniques: Doing More with Loops and Arrays Arthur L. Carpenter source 13
PharmaSUG 2012 PROC REPORT Unwrapped: Exploring the Secrets behind One of the Most Popular Procedures in Base SAS Software Allison McMahill Booth source 18
PharmaSUG 2012 SAS Enterprise Guide Best of Both Worlds - Is it Right for You? Sunil Kumar Gupta source 9
PharmaSUG 2012 Why Does SAS Say That? What Common DATA Step and Macro Messages Are Trying to Tell You Charles E. Mullin,
Kevin Russell		 source 17
SGF 2012 A Macro to Summarize and Generate a Report of Variables on a SAS Data Set Greg A. Grandits,
Greg Thompson		 source 4
SGF 2012 A PICTURE Is Worth a Lot of PUTs Carol A. Martell source 8
SGF 2012 Assigning a User-Defined Macro to a Function Key Mary F. O. Rosenbloom,
Kirk Paul Lafler		 source 10
SGF 2012 Handling Missing Data by Maximum Likelihood Paul D. Allison source 21
SGF 2012 My Friend the SAS Format Andrew H. Karp source 12
SGF 2012 SG Techniques: Telling the Story Even Better! Chuck Kincaid,
Jack E. Fuller		 source 14
SGF 2012 Straight from Memory: ADDR, PEEK, POKE as SAS Programming Tools Paul M. Dorfman,
William W. Viergever		 source 18
SGF 2012 Tips and Strategies for Mixed Modeling with SAS/STAT Procedures Kathleen Kiernan,
Jill Tao,
Phil Gibbs		 source 18
SGF 2012 Using SAS Enterprise Guide to Coax Your Excel Data In To SAS Mira Shapiro,
Kirk Paul Lafler		 source 15
SGF 2012 Using SAS ODS Graphics Chuck Kincaid source 18
SGF 2012 Why Does SAS Say That? What Common DATA Step and Macro Messages Are Trying to Tell You Charles E. Mullin,
Kevin Russell		 source 17
SCSUG 2011 Choosing the Road Less Traveled: Performing Similar Tasks with Either SAS DATA Step Processing or with Base SAS Procedures Kathryn McLawhorn source 12
SCSUG 2011 Don't Gamble with Your Output: How to Use Microsoft Formats with ODS Cynthia L. Zender source 30
SCSUG 2011 The Top 10 Head Scratchers: SAS Log Messages That Prompt a Call to SAS Technical Support Kim M. Wilson source 9
SCSUG 2011 The Way of the Semicolon or Three Things I Wish I Had Known Before I Ever Keyed One Patricia Hettinger source 8
SESUG 2011 A PICTURE Is Worth a Lot of PUTs Carol A. Martell source 8
SESUG 2011 Arrays - Data Step Efficiency Harry Droogendyk source 9
SESUG 2011 From Obscurity to Utility: ADDR, PEEK, POKE as DATA Step Programming Tools Paul M. Dorfman,
Lessia S. Shajenko		 source 18
SESUG 2011 Let SAS Do the Downloading: Using Macros to Generate FTP Script Files Arthur Furnia source 12
SESUG 2011 Misquoting Jane Austen in the Name of Quality Assurance Deborah Posner source 11
SESUG 2011 PROC COMPARE - Worth Another Look! Christianna S. Williams source 25
SESUG 2011 SAS Formats: Effective and Efficient Harry Droogendyk source 16
SESUG 2011 The Little Engine That Could: Using LIBNAME Engine Options to Enhance Data Transfers Between SAS and Microsoft Excel Files William E. Benjamin Jr. source 10
SESUG 2011 Using SAS GTL to Visualize Your Data when there is Too Much of it to Visualize Perry Watts,
>>>>		 source 22
SESUG 2011 Using SAS GTL to Visualize Your Data when there is Too Much of it to Visualize Perry Watts,
>>>>		 source 22
SESUG 2011 Using SAS Variable Lists Effectively Howard L. Schreier source 20
WUSS 2011 Array, Hurray, Array; Consolidate or Expand Your Input Data Stream Using Arrays William E. Benjamin Jr. source 11
WUSS 2011 Assigning a User-Defined Macro to a Function Key Mary F. O. Rosenbloom,
Edwards Lifesciences		 source 8
WUSS 2011 Is Your SAS Library a Disk Hog? Here's How to Put it on a Diet Ross Bettinger source 6
WUSS 2011 SAS Essentials I: SAS Functions for a Better Functioning Community AnnMaria De Mars source 15
WUSS 2011 SAS Essentials II: Better-Looking SAS for a Better Community AnnMaria De Mars source 17
WUSS 2011 SAS Procedure Proc Mixed to Assess the Effects of School Health Policy Requirements on Change in Student Health Outcomes Lori Miller source 9
WUSS 2011 Using SAS GTL to Visualize Your Data when there is Too Much of it to Visualize Nathaniel Derby source 22
PHUSE EU 2011 Go Compare: Flagging up some underused options in PROC COMPARE Michael Auld source
presentation source		 13
PHUSE EU 2011 Missing Values in SAS Magnus Mengelbier source
presentation source		 11
PHUSE EU 2011 Modifying Results of proc glm with proc template Catalina Mejia Herrera,
Volker Harm		 source
poster source		 7
MWSUG 2011 Before Logistic Modeling - A Toolkit for Identifying and Transforming Relevant Predictors Steven Raimi,
Bruce S. Lund		 18
MWSUG 2011 In Search of the LOST CARD Andrew T. Kuligowski 9
MWSUG 2011 SG Techniques: Telling the Story Even Better! Chuck Kincaid 10
MWSUG 2011 The Essentials of SAS Dates and Times Derek P. Morgan 16
MWSUG 2011 Using SAS GTL to Visualize Your Data when there is Too Much of it to Visualize Perry Watts,
Nathaniel Derby		 22
MWSUG 2011 Using the 9.2 Statistical Graphic Procedures Chuck Kincaid 18
NESUG 2011 An Easy Route to a Missing Data Report with ODS + PROC FREQ + A Data Step Michael S. Zdeb 10
NESUG 2011 Applying INVALUE STATEMENT in PROC FORMAT for Ordering Character Variables Prajitha Nair 8
NESUG 2011 PROC COMPARE - Worth Another Look! Christianna S. Williams 26
NESUG 2011 SG Techniques: Telling the Story Even Better! Charles D. Kincaid 10
NESUG 2011 The Top 10 Head Scratchers: SAS Log Messages That Prompt a Call to SAS Technical Support Kim M. Wilson 9
NESUG 2011 Using SAS GTL to Visualize Your Data when there is Too Much of it to Visualize Perry Watts,
Nathaniel Derby		 22
NESUG 2011 Using the 9.2 Statistical Graphic Procedures Charles D. Kincaid 18
NESUG 2011 Why Programming Efficiency Should Matter to All of Us John J. Cohen 15
PharmaSUG 2011 Choosing the Road Less Traveled: Performing Similar Tasks with Either SAS DATA Step Processing or with Base SAS Procedures Kathryn McLawhorn source 12
PharmaSUG 2011 Don't Gamble with Your Output: How to Use Microsoft Formats with ODS Cynthia L. Zender source 30
PharmaSUG 2011 SYMply PUT: GET the most out of SYMPUTX and SYMGETN Robert Howard source 4
PharmaSUG 2011 Using a HASH Table to Reference Variables in an Array by Name John Henry King source 9
SGF 2011 Automatically Identify Formatting Problems with Numeric Variables Wei Xu source 3
SGF 2011 Building a Good Foundation with Functions Deb Cassidy source 10
SGF 2011 Bump Hunting With SAS: A Macro Approach to Employing PRIM Jennifer Sniadecki source 9
SGF 2011 Choosing the Road Less Traveled: Performing Similar Tasks with Either SAS DATA Step Processing or with Base SAS Procedures Kathryn McLawhorn source 12
SGF 2011 Don't Gamble with Your Output: How to Use Microsoft Formats with ODS Cynthia L. Zender source 30
SGF 2011 Numeric Length in SAS: A Case Study in Decision Making Paul Gorrell source 12
SGF 2011 ODS Output Data Sets That Work for You Stuart D. Long,
Edward Heaton,
Daniel R. Scharf		 source 29
SGF 2011 Recreating SAS Data Sets via SAS Code Generation Richard D. Langston source 7
SGF 2011 Special Missing Values for Character Fields John F. Ladds source 8
SGF 2011 The Little Engine That Could: Using LIBNAME Engine Options to Enhance Data Transfers Between SAS and Microsoft Excel Files William E. Benjamin Jr. source 10
SGF 2011 The Top 10 Head Scratchers: SAS Log Messages That Prompt a Call to SAS Technical Support Kim M. Wilson source 9
SGF 2011 To FREQ, Perchance to MEANS Christopher J. Bost source 10
SGF 2011 Why .1 + .1 Might Not Equal .2 and Other Pitfalls of Floating-Point Arithmetic Clarke Thacher source 19
NESUG 2010 Automatically Converting Character Variables That Store Numbers to Numeric Variables Christopher J. Bost 13
NESUG 2010 Date Conversions in SDTM and ADaM Datasets Lily Zhang,
Lili Chen,
Huei-Ling Chen		 8
NESUG 2010 Let SAS Write and Execute Your Data-Driven SAS Code Kathy Hardis Fraeman 5
NESUG 2010 Misquoting Jane Austen in the Name of Quality Assurance Deborah Posner 12
NESUG 2010 PROC COMPARE - Worth Another Look! Christianna S. Williams 26
NESUG 2010 PROC TABULATE - Building Tables With Style Michael G. Eberhart 17
NESUG 2010 See All, Know All: Using PROC DOCUMENT to Produce Integrated Data Set Documentation Jyothi Pabbaraju 17
NESUG 2010 SGPANEL: Telling the Story Better Charles D. Kincaid 17
NESUG 2010 Standardization of Reporting Digits: Significant Vs. Rounding Vikash Jain 7
NESUG 2010 The Quest for Causation: An Introduction to Correlation and Regression Analysis Ian Stockwell 9
NESUG 2010 To FREQ, Perchance to MEANS Christopher J. Bost 11
NESUG 2010 Using PROC RANK and PROC UNIVARIATE to Rank or Decile Variables Jonas V. Bilenas 15
SCSUG 2010 A SAS Primer for Health Care Data Analysts Christopher W. Schacherer source 24
WUSS 2010 Query Creation Wizards using SAS/IntrNet Matthew Redelings source 12
WUSS 2010 Tips for Constructing a Data Warehouse Part 2 Curtis A. Smith source 11
PHUSE EU 2010 Facilitating Data Integration for Regulatory Submissions John R. Gerlach,
John Bowen		 source
presentation source		 8
PHUSE EU 2010 For a programming more efficient Claude Guyot source
presentation source		 5
PHUSE EU 2010 Working Efficiently with Large SAS Datasets Vishal Jain source
presentation source		 8
MWSUG 2010 A New Look at An Old Friend: Getting Reacquainted with Arrays Joe Novotny,
Paul Kollner		 13
MWSUG 2010 A SAS Primer for Health Care Data Analysts Christopher W. Schacherer,
Brent D. Westra		 24
MWSUG 2010 Errors, Warnings, and Notes (Oh My) A Practical Guide to Debugging SAS Programs Lora D. Delwiche,
Susan J. Slaughter		 15
MWSUG 2010 SGPANEL: Telling the Story Better Charles D. Kincaid 18
MWSUG 2010 Using a Few Key Elements of SAS DATA Step Code and a Couple of Procedures to Optimize the Observation Length of a Data Set Philip A. Wright 9
MWSUG 2010 Using JMP and SAS Software Together to Prepare a Last-Minute Research Project for Publication, Or Statistical Modeling of Breathing Relief in Sarcoidosis Patients James K. Woods 7
SESUG 2010 QC Your SAS and RDBMS Data Using Dictionary Tables Harry Droogendyk source 20
SESUG 2010 SAS Formats: Effective and Efficient Harry Droogendyk source 16
PharmaSUG 2010 ADaM Dataset Checking Toolkit Huei-Ling Chen 9
PharmaSUG 2010 Assigning NCI CTC Grades To Laboratory Results Carol Matthews 8
PharmaSUG 2010 Facilitating Data Integration for Regulatory Submissions John R. Gerlach 9
PharmaSUG 2010 The Little Engine That Could: Using EXCEL LIBNAME Engine Options to Enhance Data Transfers between SAS and Microsoft Excel Files William E. Benjamin Jr. 10
SGF 2010 Macros Made Easy (and More Efficient) with SAS Enterprise Guide 4.2 Prompts Kenneth Sucher source 24
SGF 2010 PROC COMPARE - Worth Another Look! Christianna S. Williams source 23
SGF 2010 Taming the Herd: Wrangling Unruly Text Files in SAS Taylor R. Young source 9
SGF 2010 Using a Few Key Elements of SAS DATA Step Code and a Couple of Procedures to Optimize the Observation Length of a Data Set Philip A. Wright source 9
SGF 2010 Using the Descriptor Portion of a SAS Data File Dragos D. Capan source 6
SGF 2010 Working with SAS Date and Time Functions Andrew H. Karp source 20
SESUG 2009 From Obscurity to Utility: ADDR, PEEK, POKE as DATA Step Programming Tools Paul M. Dorfman source 21
SESUG 2009 Resetting Variables to Zero Edward Heaton source 7
PHUSE EU 2009 Techniques for Assigning NCI CTC Grades to Laboratory Results Carol Matthews source 7
MWSUG 2009 Obtaining the Patient Most Recent Time-stamped Measurements Yubo Gao 6
MWSUG 2009 Using SAS as an Archival Repository for DB2 under z/OS (or other DBMS) Rich Morris 22
MWSUG 2009 Using the Data Step's ATTRIB Statement to both Manage and Document Variables in a SAS Dataset (lightly) Philip A. Wright 8
PNWSUG 2009 The MEANS/SUMMARY Procedure: Getting Started and Doing More Arthur L. Carpenter 19
PNWSUG 2009 Using SAS with Oracle: Writing efficient and accurate SQL Tasha Chapman,
Lori Carleton		 6
NESUG 2009 SAS Formats: Effective and Efficient Harry Droogendyk 16
NESUG 2009 So You're Still Not Using PROC REPORT. Why Not? Ray Pass,
Daphne E. Ewing		 22
NESUG 2009 The Dirty Secret Behind the Box: Why Programming Efficiency Should Matter to All of Us John J. Cohen 9
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 Errors, Warnings, and Notes (Oh My) A Practical Guide to Debugging SAS Programs Lora D. Delwiche,
Susan J. Slaughter		 source 15
WUSS 2009 Portable SAS: Language and Platform Considerations Robert A. Cruz source 21
WUSS 2009 Solving Your Problems with SAS Enterprise Guide: SAS without Programming AnnMaria De Mars source 18
WUSS 2009 SYMply PUT: GET the Most Out of SYMPUT and SYMGETN Robert Howard source 4
WUSS 2009 The Little Engine That Could: Using EXCEL LIBNAME Engine Options to Enhance Data Transfers between SAS and Microsoft Excel Files William E. Benjamin Jr. source 10
WUSS 2009 The Power to Show: Ad Hoc Reporting, Custom Invoices, and Form Letters Daniel O'Connor source 58
SGF 2009 A Row is a Row is a Row, or is it? Get Comfortable with Transposing your Data Christianna S. Williams source 12
SGF 2009 Creating Common Information Structures Using Lists Stored in SAS Data Step Hash Objects Shawn Edney source 19
SGF 2009 From Obscurity to Utility: ADDR, PEEK, POKE as DATA Step Programming Tools Paul M. Dorfman source 20
SGF 2009 Generalizations of Generalized Additive Model (GAM): A Case of Credit Risk Modeling Wensui Liu,
Jimmy Cela,
Chuck Vu		 source 14
SGF 2009 The Essentials of SAS Dates and Times Derek P. Morgan source 16
SGF 2009 Tips and Tricks for Creating the Reports Your Clients Need to See Michael J. Molter source 13
SGF 2009 You Might Be a SAS Energy Hog If ... Michael A. Raithel,
Michael D. Rhoads		 source 15
WUSS 2008 The MEANS/SUMMARY Procedure: Getting Started and Doing More Arthur L. Carpenter source 19
SESUG 2008 A Row is a Row is a Row, or is it? Get Comfortable with Transposing your Data Christianna S. Williams source 12
SESUG 2008 Automated Data Converting of Character into Numeric Fields Mila Chiflikyan source 11
SESUG 2008 Complex Survey Data Analysis in SAS and the Link between PROC SURVEYFREQ and SURVEYMEANS Taylor Lewis source 5
SESUG 2008 Creating Common Information Structures Using Lists Stored in SAS Data Step Hash Objects Shawn Edney source 18
SESUG 2008 NOTEs in a SASLOG : Of LOST CARDs and MERGE Statements with Repeats of By Values Andrew T. Kuligowski source 14
SESUG 2008 Techniques for Evidence-Based Decision Making Using SAS Ian Stockwell source 8
MWSUG 2008 Loop-Do-Loop Around Arrays Wendi L. Wright 17
PNWSUG 2008 Basic SAS PROCedures for Generating Quick Results Kirk Paul Lafler 16
NESUG 2008 A Row is a Row is a Row, or is it? Get Comfortable with Transposing your Data Christianna S. Williams 12
NESUG 2008 An Animated Guide: Using the Put and INput functions Russell M. Lavery 10
NESUG 2008 From Obscurity to Utility: ADDR, PEEK, POKE as DATA Step Programming Tools Paul M. Dorfman 19
NESUG 2008 HELP! - My MERGE Statement Has More Than One Data Set With Repeats of BY Values! Andrew T. Kuligowski 5
NESUG 2008 Is .1+.2 equal to .3? Shaoji Xu 13
NESUG 2008 Just What the Doctor Ordered: Using SAS to Calculate Patient Drug Dose with Electronic Medical Record (EMR) Prescription Data Kathy Hardis Fraeman 9
PharmaSUG 2008 An Animated Guide: Using the Put and INput functions Yanmei Lu,
Russell M. Lavery		 19
PharmaSUG 2008 Innovative Techniques and Tools to Detect Data Quality Problems Hong Qi,
Allan Glaser		 8
SGF 2008 Introduction to Correlation and Regression Analysis Ian Stockwell source 8
SGF 2008 Range Formats Made Easy A CreateRangeFormat Custom Task for SAS Enterprise Guide Petr Hustak source 9
SGF 2008 The Essentials of SAS Dates and Times Derek P. Morgan source 14
SGF 2008 Using Data Set Values and Variable Names Outside of the DATA Step Bruce F. Gilsen source 15
NESUG 2007 Common Pitfalls in SAS Statistical Analysis Macros in a Mass Production Environment Huei-Ling Chen,
Aiming Yang		 9
NESUG 2007 Everyone Needs "a Raise" (Arrays) Marge Scerbo 11
NESUG 2007 From Obscurity to Utility: ADDR, PEEK, POKE as DATA Step Programming Tools Lessia S. Shajenko,
Paul M. Dorfman		 20
NESUG 2007 Identify and Remove Any Variables, Character or Numeric, That Have Only Missing Values Wei Xu 3
NESUG 2007 Numeric Length: Concepts and Consequences Paul Gorrell 11
NESUG 2007 Relationships Between ORRES and Other CDISC Variables (CDISC Variable Relationships Part 1 of 3) Susan Fehrer,
Russell M. Lavery		 9
NESUG 2007 Swap the DATA Step for PROC TRANSPOSE Katie Joseph 5
NESUG 2007 Tips and Tricks for Creating the Reports Your Clients Need to See Mike Molter 13
NESUG 2007 Using Data Set Values and Variable Names Outside of the DATA Step Bruce F. Gilsen 15
NESUG 2007 Working with Missing Values Edward Heaton,
Michelle Zhuang		 3
WUSS 2007 A Scattered Approach to Quality Control Christina Schmunk,
Komal Sunak		 source 10
WUSS 2007 Adventures in Arrays Jane Stroupe source 12
WUSS 2007 Data Driven Annotations: An Introduction to SAS/GRAPH's Annotate Facility Arthur L. Carpenter source 17
WUSS 2007 Data Driven Annotations: An Introduction to SAS/GRAPH's Annotate Facility Arthur L. Carpenter source 17
WUSS 2007 Listing Unexpected Data using VVALUEX Patrick Thornton source 4
WUSS 2007 The TRANSPOSE Procedure or How to Turn your Data Around David Fickbohm source 10
PHUSE EU 2007 Relationships between ORRES and other CDISC variables Susan Fehrer,
Russell M. Lavery		 source 9
SCSUG 2007 Adventures in Arrays Jane Stroupe 12
SCSUG 2007 SAS Formats - Simply Powerful Howard Hagemann 12
PharmaSUG 2007 A SAS Macro for Comparing the Size of Compressed and Uncompressed SAS Data Sets Xingshu Zhu,
Shuping Zhang		 4
PharmaSUG 2007 Relationships Among CDISC Variables (Part I) Susan Fehrer,
Russell M. Lavery		 9
PharmaSUG 2007 Saving QC Time for Production Tables Linfeng Xu,
Sunil Kumar Gupta		 10
PharmaSUG 2007 The TRANPOSE Procedure or How to Turn It Around Janet E. Stuelpner 9
SGF 2007 Calculating Statistics Using PROC MEANS versus PROC SQL Jyotheeswara N. Yellanki source 8
SGF 2007 Creating Order Out of Character Chaos: Collation Capabilities of the SAS System Michael Mebust,
Scott Bridgers		 source 16
SGF 2007 Everyone Needs "a Raise" (Arrays) Marge Scerbo source 11
SGF 2007 Getting the Most from PROC MEANS Andrew H. Karp source 9
SGF 2007 How Do I Look It Up If I Don't Know How to Spell It? An Introduction to SAS DICTIONARY Tables Peter W. Brill,
Ilene K. Eberhardt		 source 14
SGF 2007 Tales from the Help Desk 2: Solutions for Common SAS Mistakes Bruce F. Gilsen source 10
PNWSUG 2006 Five Easy (To Use) Macros Ted Clay 32
MWSUG 2006 Data Transposition with Proc Report Lingqun Liu 12
MWSUG 2006 Pruning the SASLOG - Digging into the Roots of NOTEs, WARNINGs, and ERRORs Andrew T. Kuligowski 10
SCSUG 2006 Pruning the SASLOG - Digging into the Roots of NOTEs, WARNINGs, and ERRORs Andrew T. Kuligowski 10
PHUSE EU 2006 Self-validating data Christof Binder source 7
SESUG 2006 How to Implement the SAS Data Step Hash Object Bill Parman source 7
WUSS 2006 A Close Look at Numeric Formats Vijay Kumar source 3
WUSS 2006 Clean Up Your Act: Data Cleaning with SAS Mel Widawski source 9
WUSS 2006 Data Driven Annotations: An Introduction to SAS/GRAPH's Annotate Facility Arthur L. Carpenter source 17
WUSS 2006 Easy Methods to Investigate Large Datasets Using ODS Graphics and New Features in SAS 9 Aimee Foreman,
Miriam G. Cisternas		 source 10
WUSS 2006 Errors, Warnings, and Notes (Oh My) A Practical Guide to Debugging SAS Programs Lora D. Delwiche,
Susan J. Slaughter		 source 15
WUSS 2006 Getting in to the Picture (Format) Andrew H. Karp source 16
WUSS 2006 PROC SQL: A Powerful Tool to Improve Your Data Quality Keh-Dong Shiang source 10
WUSS 2006 SAS Date and Time Functions 101 Nikki M. Carroll source 10
WUSS 2006 SAS's Various Varying Variables, or 1000+ Ways to Manipulate SAS Variables Paul A. Choate source 14
WUSS 2006 Steps to Success with PROC MEANS Andrew H. Karp source 12
WUSS 2006 Tips & Techniques with PROC MEANS Andrew H. Karp source 8
NESUG 2006 A Hash Alternative to the PROC SQL Left Join Kenneth W. Borowiak 9
NESUG 2006 An Introduction to Reshaping (TRANSPOSE) and Combining (MATCH-MERGE) SAS Data Sets Michael S. Zdeb 15
NESUG 2006 Data Analysis: Beyond the Basics Ian Stockwell 9
NESUG 2006 Formats to the Rescue Gary M. McQuown 6
NESUG 2006 How to Reduce the Disk Space Required by a SAS Dataset Selvaratnam Sridharma 16
PharmaSUG 2006 Arrays Made Easy: An Introduction to Arrays and Array Processing Teresa Schudrowitz 9
PharmaSUG 2006 Data Driven Annotations: An Introduction to SAS/GRAPH's Annotate Facility Arthur L. Carpenter 17
PharmaSUG 2006 External Data Utility (EDU), a SAS Tool to Manage Data from Acquisition to Database Release Margaret Hung,
Mohit Goel,
Sheila Moody		 11
PharmaSUG 2006 PROC FORMAT is Our Friend Erin M. Christen 20
PharmaSUG 2006 Searching for the Right Search Tool Eugene Yeh,
Angela S. Ringelberg		 12
PharmaSUG 2006 The Skinny on Processing Very Large Health Claims Data Sets Gopal Rajagopal,
Blue Bell		 10
SUGI 2006 %DataAutoSum: A SAS Macro for Automatically Producing a Customized Clinical Data Summary Report Deqing Pei,
Cheng Cheng		 source 8
SUGI 2006 A Hands-On Introduction to SAS Basics and the SAS Display Manager Debbie Buck - SC source 12
SUGI 2006 Data-Driven Annotations: An Introduction to the SAS/GRAPH Annotate Facility Arthur L. Carpenter source 17
SUGI 2006 FREQ n' MEANS Marge Scerbo,
Michael S. Lajiness		 source 19
SUGI 2006 Getting in to the Picture (Format) Andrew H. Karp source 16
SUGI 2006 MISSING! - Understanding and Making the Most of Missing Data Suzanne M. Humphreys source 9
SUGI 2006 PROC SQL: A Powerful Tool to Improve Your Data Quality Keh-Dong Shiang source 10
SUGI 2006 So You're Still Not Using PROC REPORT. Why Not? Ray Pass,
Daphne E. Ewing		 source 20
SUGI 2006 Squeezing Information out of Data William C. Murphy source 4
SUGI 2006 The TRANSPOSE Procedure or How to Turn It Around Janet E. Stuelpner source 9
SUGI 2006 Using Data Set Options in PROC SQL Kenneth W. Borowiak source 10
PNWSUG 2005 (In)Formats (In)Decently Exposed Harry Droogendyk 16
PNWSUG 2005 ODS to RTF: Tips and Tricks Paul D. Hamilton 9
SESUG 2005 %CHECKDATA: An Enhanced Data Diagnostic Macro John Stanmeyer source 8
SESUG 2005 Manipulating Data: Elements of the DATA Step Language Paul M. Dorfman source 19
SESUG 2005 Preemptive DATA CLEANING: Techniques Malachy J. Foley source 13
SESUG 2005 Proc Transpose or How to Turn It Around Janet E. Stuelpner source 7
SESUG 2005 Pruning the SASLOG - Digging into the Roots of NOTEs, WARNINGs, and ERRORs Andrew T. Kuligowski source 10
SESUG 2005 SER04_05 From Obscurity to Utility APP Functions source 20
SESUG 2005 Use a SAS Database Search Engine Instead of Writing a Program Eugene Yeh source 10
PHUSE EU 2005 SAS to R to SAS Philip R. Holland source 7
PHUSE EU 2005 The FORMAT procedure - more than just a VALUE statement Lawrence Heaton-Wright source 9
MWSUG 2005 Arrays Made Easy: An Introduction to Arrays and Array Processing Gerald D. Frey 9
WUSS 2005 Producing Multipurpose Metadata for Data Quality and a Data Dictionary John E. Bentley source 19
WUSS 2005 Tips & Techniques with PROC MEANS Andrew H. Karp source 8
NESUG 2005 (In)Formats (In)Decently Exposed Harry Droogendyk 16
NESUG 2005 Another Factorial File Compression Experiment Using SAS and UNIX Compression Algorithms Adeline J. Wilcox 10
NESUG 2005 Array Tutorial (2) $ Beginning Intermediate; Ian Stockwell,
Marge Scerbo		 10
NESUG 2005 Beyond FORMAT Basics Michael S. Zdeb 20
NESUG 2005 Freq n' Means Marge Scerbo,
Michael S. Lajiness		 19
NESUG 2005 HOLY MACRO! An Intuitive Approach to Understanding the Macro Facility Michael J. Molter 20
NESUG 2005 In Search of the LOST CARD Andrew T. Kuligowski 9
NESUG 2005 Loop-Do-Loop Around Arrays Wendi L. Wright 16
NESUG 2005 The INPUT Statement: Where It's @ Ronald P. Cody 13
PharmaSUG 2005 Selected SAS Macro and SQL Techniques For Efficient Analysis Programming Brian P. Fairfield-Carter 12
PharmaSUG 2005 The Power of PROC SQL Techniques and SAS Dictionary Tables in Handling Data MaryAnne DePesquo Hope 6
PharmaSUG 2005 Validating Data Using SAS Formats as a Programming Tool John R. Gerlach 11
SUGI 2005 Arrays Made Easy: An Introduction to Arrays and Array Processing Teresa Schudrowitz,
Steven J. First		 source 9
SUGI 2005 HOLY MACRO! An Intuitive Approach to Understanding the Macro Facility Michael J. Molter source 20
SUGI 2005 In Search of the LOST CARD Andrew T. Kuligowski source 9
SUGI 2005 My Friend the SAS Format Andrew H. Karp source 12
SUGI 2005 PROC FREQ and PROC MEANS: To Stat or Not to Stat Marge Scerbo,
Michael S. Lajiness		 source 17
SUGI 2005 Producing Multipurpose Metadata for Data Quality and a Data Dictionary John E. Bentley source 19
NESUG 2004 Array Tutorial (2) $ Beginning Intermediate; Marge Scerbo 11
NESUG 2004 Disk Space Management Topics for SAS in the Solaris Operating Environment Adeline J. Wilcox 9
NESUG 2004 More Tales from the Help Desk: Solutions for Simple SAS Mistakes Bruce F. Gilsen 10
NESUG 2004 Programming Techniques for Data Mining with SAS Samuel Berestizhevsky,
Tanya Kolosova		 14
NESUG 2004 So You're Still Not Using PROC REPORT. Why Not? Ray Pass,
Daphne E. Ewing		 22
NESUG 2004 The INPUT Statement: Where It's @ Ronald P. Cody 13
NESUG 2004 When PROC RANK Hinders Your Memory, DATA Step into Decile Assignment - And Handle Ties Too! Jack Clark 2
SESUG 2004 A Second Look at SAS Macro Design Issues H. Ian Whitlock source 19
SESUG 2004 Stata for the Struggling SAS Mind Dan Blanchette source 11
SESUG 2004 Tools to Transfer Data between SAS and Stata Dan Blanchette source 5
SESUG 2004 Using SAS to Facilitate Data Comparisons M. Rita Thissen,
Elizabeth Heath		 source 12
WUSS 2004 Comparing Two SAS Data Sets: Start at the Top Ann Olmsted source 5
WUSS 2004 Get GUI: Replacing SAS/FSP Screens with the SAS/AF Form Viewer Steven A. Wilson source 20
WUSS 2004 Getting the Most from PROC MEANS Andrew H. Karp source 8
WUSS 2004 Working with SAS Date and Time Functions Andrew H. Karp source 12
MWSUG 2004 %Fun &With %SYSFUNC Derek P. Morgan 4
MWSUG 2004 Explore, Analyze, and Summerize Your Data with SAS Software:Selecting the Most Appropriate Power Tool from a Rich Portfolio LeRoy Bessler 20
MWSUG 2004 Using SAS Enterprise Guide to Automate and Customize Statistical Analyses for Pharmaceutical Data Alex Dmitrienko,
Cindy Lee		 6
PNWSUG 2004 Pruning the SASLOG - Digging into the Roots of NOTEs, WARNINGs, and ERRORs Andrew T. Kuligowski 11
PNWSUG 2004 Tips and Techniques for Large Files [presentation] Andrew H. Karp 37
PharmaSUG 2004 A Macro Generating a Report-Ready Table in Different Layout and Format Renda Cheng 12
PharmaSUG 2004 A Technique to Create a Numeric Variable from a Character Variable Hany Aboutaleb 6
PharmaSUG 2004 Data Summary at a Glance Varsha C. Shah 8
PharmaSUG 2004 So You're Still Not Using PROC REPORT. Why Not? Ray Pass,
Ray Pass		 19
PharmaSUG 2004 The FORMAT procedure - more than just a VALUE statement Lawrence Heaton-Wright 9
SUGI 2004 A Second Look at SAS Macro Design Issues H. Ian Whitlock source 19
SUGI 2004 A-P-P Advanced Data Management Functions Peter Crawford,
Paul M. Dorfman		 source 20
SUGI 2004 Array Tutorial (2) $ Beginning Intermediate; Marge Scerbo source 12
SUGI 2004 Basic SAS PROCedures for Generating Quick Results Kirk Paul Lafler source 17
SUGI 2004 Metadata for End Users - A Crucial Part of Your Data Warehouse Quality Policy Gady Kotler source 5
SUGI 2004 Mrs. Clean Tackles Dirty Data Janet E. Stuelpner source 5
SUGI 2004 Some Uses (and Handy Abuses) of PROC TRANSPOSE Ralph W. Leighton source 17
SUGI 2004 Steps to Success with PROC MEANS Andrew H. Karp source 13
SUGI 2004 The INPUT Statement: Where It's @ Ronald P. Cody source 14
SUGI 2004 Widefiles, Deepfiles, and the Fine Art of Macro Avoidance Howard L. Kaplan source 11
WUSS 2003 Advanced Analytics with Enterprise Guide Catherine Truxillo,
Stephen McDaniel		 source 9
WUSS 2003 Detecting Anomalies In Your Data Using Rounded Numbers Curtis A. Smith source 5
WUSS 2003 Errors, Warnings, and Notes (Oh My) A Practical Guide to Debugging SAS Programs Lora D. Delwiche,
Susan J. Slaughter		 source 10
WUSS 2003 Tips and Techniques with PROC MEANS Andrew H. Karp source 8
WUSS 2003 Using Graph-N-Go To Easily Present Your Data And Webenable Your Graphs Curtis A. Smith source 8
SCSUG 2003 Pruning the SASLOG - Digging into the Roots of NOTEs, WARNINGs, and ERRORs Andrew T. Kuligowski 11
SESUG 2003 A Technique for Storing and Manipulating Incomplete Dates in a Single SAS Date Value John Ingersoll source 8
SESUG 2003 Dare to Compare - Tailoring PROC COMPARE Output Maria Y. Reiss source 10
SESUG 2003 Pruning the SASLOG - Digging into the Roots of NOTEs, WARNINGs, and ERRORs Andrew T. Kuligowski source 10
SESUG 2003 SAS Formats: Uses and Abuses Carry W. Croghan source 6
SESUG 2003 The Dataset Attribute Family of Classes Mark Tabladillo source 6
SESUG 2003 Working with SAS Date and Time Functions Andrew H. Karp source 9
MWSUG 2003 Tips and Techniques with PROC MEANS Andrew H. Karp 6
MWSUG 2003 Working with SAS Data and Time Functions Andrew H. Karp 9
NESUG 2003 CSV: A Macro Which Writes SAS Programs to Read csv-Files Victor Kamensky 8
NESUG 2003 Quality Control With SAS Numeric Data Paul Gorrell 11
NESUG 2003 Reading External Files Using SAS Software Clinton S. Rickards 9
NESUG 2003 So You're Still Not Using PROC REPORT. Why Not? Ray Pass,
Daphne E. Ewing		 22
NESUG 2003 The Dark Side of the Transparent Moon -- Tips, Tricks and Traps of Handling ORACLE Data Using SAS Xinyu Ji 11
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
PharmaSUG 2003 A SAS Macro for Simple Statistical Summary Michael Gunshenan 10
PharmaSUG 2003 Using symbol plots to represent symptom severity over time Elisa Knutsen 4
SUGI 2003 %Fun &With %SYSFUNC Derek P. Morgan source 3
SUGI 2003 Continuous or Not: How One Can Tell Vatsala V. Karwe source 2
SUGI 2003 Date Handling in the SAS System Bruce F. Gilsen source 10
SUGI 2003 Errors, Warnings, and Notes (Oh My) A Practical Guide to Debugging SAS Programs Lora D. Delwiche,
Susan J. Slaughter		 source 10
SUGI 2003 New Ways and Means to Summarize Files Curtis A. Smith source 6
SUGI 2003 ODS to RTF: Tips and Tricks Paul D. Hamilton source 9
SUGI 2003 Shopping for Voters: Using Association Rules to Discover Relationships in Election Survey Data Mary F. MacDougall source 5
SUGI 2003 Web Enabling Your Graphs with HTML, ActiveX, and Java Using SAS/GRAPH and the Output Delivery System Curtis A. Smith source
MWSUG 2002 A Missing is a Missing is a Missing ... Unless Your're a Project Manager Martin Barron 4
SCSUG 2002 Indexing and Comparing SAS Data Sets: How, Why, and Why Not Andrew H. Karp 5
SCSUG 2002 The Essential Meaning of PROC MEANS: A Beginner's Guide to Data Summarization and Analysis Using PROC MEANS Andrew H. Karp 10
NESUG 2002 Creating a Generic Data Listing Macro in Three Days or Less Chris Moriak 10
NESUG 2002 Date Handling in the SAS System Bruce F. Gilsen 10
NESUG 2002 Numeric Data in SAS: Guidelines For Storage and Display Paul Gorrell 7
NESUG 2002 Off and Running with Arrays in SAS Stephen Keelan 7
NESUG 2002 The Essential Meaning of PROC MEANS: A Beginner's Guide to Summarizing Data Using SAS Software Gary M. McQuown,
Andrew H. Karp		 10
NESUG 2002 To Err Is Human; to Debug, Divine Roger Staum 11
SESUG 2002 Mrs. Clean Tackles Dirty Data Janet E. Stuelpner source 3
SESUG 2002 The Essential Meaning of PROC MEANS: A Beginner's Guide to Summarizing Data Using SAS Software Andrew H. Karp,
Gary M. McQuown		 source 10
WUSS 2002 DATA Step Internals: Compile and Execute Neil H. Howard source 10
WUSS 2002 Doing Big Demographic Segmentation with the Combination of Multivariate Procedures and Macro Facilities Charles Sun source 6
WUSS 2002 New Ways and Means to Summarize Files Curtis A. Smith source 6
WUSS 2002 Using Benford's Law to Find Anomalies in Your Data Curtis A. Smith source 6
WUSS 2002 Using SAS/GRAPH and ODS to Web-enable Your Graphs Curtis A. Smith source 7
SEUGI 2002 What's New in ODS for V9.0 [presentation] Paul Kent source 40
PharmaSUG 2002 Data Dependent Footnotes using PROC REPORT Angelina Cecilia Casas 4
PharmaSUG 2002 ODS to RTF: Tips and Tricks Paul D. Hamilton 10
PharmaSUG 2002 To Err Is Human; To Debug Devine Roger Staum 12
PharmaSUG 2002 Using SAS to get more out of Oracle Clinical Jim Johnson 10
SUGI 2002 Advanced Tips and Techniques with PROC MEANS Andrew H. Karp source 7
SUGI 2002 Creating Maps in SAS/GRAPH Jeffery D. Gilbert source 7
SUGI 2002 Data Cleaning 101 Ronald P. Cody source 10
SUGI 2002 DATA Step Essentials Neil H. Howard source 11
SUGI 2002 Detecting Anomalies in Your Data Using Benford's Law Curtis A. Smith source 6
SUGI 2002 Off and Running with Arrays in SAS Stephen A. Keelan source 7
SUGI 2002 Some Uses (and Handy Abuses) of PROC TRANSPOSE Ralph W. Leighton source 10
SUGI 2002 Tips for Manipulating Data Marge Scerbo source 9
SUGI 2002 To Err Is Human; to Debug, Divine Roger Staum source 11
SUGI 2002 Web Enabling Your Graphs with HTML, ActiveX, and Java Using SAS/GRAPH and the Output Delivery System Curtis A. Smith source 6
MWSUG 2001 Detecting Anomalies in Your Data Using Benford's Law Curtis A. Smith 29
MWSUG 2001 The Essential Meaning of PROC MEANS: A Beginner's Guide to Data Summarization Using the SAS System Andrew H. Karp 10
MWSUG 2001 Working with SAS Date and Time Functions Andrew H. Karp 7
NESUG 2001 %ABC_FREQ: A SAS Macro Utility to Generate Enhanced Frequency Reports Sharon Matsumoto Hirabayashi 10
NESUG 2001 Having a Ball with Strings: SAS Character Functions Ronald P. Cody 8
NESUG 2001 How to Represent Missing Data: Special Missing Values vs. 999999999 Quentin McMullen 4
NESUG 2001 Mrs. Clean Tackles Dirty Data Janet E. Stuelpner 3
NESUG 2001 SAS Program Efficiency for Beginners Bruce F. Gilsen 10
NESUG 2001 Some Uses (and Handy Abuses) of PROC TRANSPOSE Ralph W. Leighton 10
VIEWS 2001 Processing Free Text With SAS Version 8 [presentation] Jeremy Gurney 31
WUSS 2001 Changes and Enhancements to PROCs MEANS and SUMMARY in Version 8 of the SAS System Andrew H. Karp source 6
WUSS 2001 Is Your Data Clean? Three Steps in Data Cleaning Mel Widawski source 5
WUSS 2001 Making a Data Code Dictionary Using a Dynamic SAS Macro Jichao Sun,
Haiping Luo		 source 6
WUSS 2001 Using Graph-N-Go with ODS to Easily Present Your Data and Web-enabled Your Graphs Curtis A. Smith source 9
WUSS 2001 Web Enabling Your Graphs with HTML, ActiveX, and Java Using SAS/GRAPH and the Output Delivery System Curtis A. Smith source 6
SESUG 2001 Changes and Enhancements to PROC MEANS In Version 8 of the SAS System Andrew H. Karp source 6
SESUG 2001 Creating Regional Maps with Drill-Down Capabilities Deb Cassidy source 6
SESUG 2001 Detecting Anomalies in Your Data Using Benford's Law Curtis A. Smith source 5
SESUG 2001 Graphing in SAS Software Destiny Corporation (a company) source 18
SESUG 2001 Manipulating Data: Elements of the DATA Step Language Paul M. Dorfman source 10
SESUG 2001 The INPUT Statement: Where It's @ Ronald P. Cody,
Robert Wood Johnson		 source 10
SESUG 2001 Understanding and Using Functions Frank C. DiIorio source 8
SESUG 2001 Using Functions and Arrays in the SAS System to Manage and Manipulate Data Ben Cochran source 6
SCSUG 2001 Basic SAS PROCedures for Generating Quick Results Kirk Paul Lafler 10
SCSUG 2001 Changes and Enhancements to PROC MEANS In Version 8 of the SAS System Andrew H. Karp 6
SCSUG 2001 Creating Regional Maps with Drill-Down Capabilities Deb Cassidy 6
SCSUG 2001 Detecting Anomalies in Your Data Using Benford's Law Curtis A. Smith 5
SCSUG 2001 Graphing in SAS Software Destiny Corporation (a company) 18
SCSUG 2001 Manipulating Data: Elements of the DATA Step Language Paul M. Dorfman 10
SCSUG 2001 The INPUT Statement: Where is it's @ Ronald P. Cody 10
SCSUG 2001 Understanding and Using Functions Frank C. DiIorio 8
SCSUG 2001 Using Functions and Arrays in the SAS System to Manage and Manipulate Data Ben Cochran 6
SEUGI 2001 Customer Segmentation and retail product assortment [presentation] Barry Young source 18
SEUGI 2001 The SAS Text Mining Solution [presentation] Bernd Drewes,
Wayne Thompson		 source 22
PharmaSUG 2001 Using Functions and Arrays in the SAS System to Manage and Manipulate Data Ben Cochran 6
SUGI 2001 Automating the Process of Listing the Most Frequent Values of Thousands of Variables in Large Data Sets Haiping Luo,
Philip E. Friend		 source 5
SUGI 2001 Data Cleaning 101 Ronald P. Cody source 10
SUGI 2001 Getting the Most Out of Your High-End UNIX and NT Server with SAS Margaret A. Crevar,
Leigh A. Ihnen,
Gary Mehler		 source 9
SUGI 2001 Input File Cleaning and Screening Using a SAS Macro Mike D. Tangedal source 7
SUGI 2001 The Essential Meaning of PROC MEANS: A Beginner's Guide to Summarizing Data in SAS Andrew H. Karp source 10
SCSUG 2000 Data Cleaning 101 Ronald P. Cody 13
SCSUG 2000 PROC TRANSPOSE: Making Data Easier to Process Jimmy A. DeFoor 12
SESUG 2000 DATA CLEANING: Preemptive Techniques Malachy J. Foley source 9
NESUG 2000 Arrays: In and Out and All About Marge Scerbo 7
NESUG 2000 Avoiding Mayhem in the New Millennium: Working with Missing Data JoAnn R. Matthews 10
NESUG 2000 Clean-up, Comments and Code - Making it Maintainable Clay Martin,
Lori Martin		 7
NESUG 2000 Create Custom Numeric Formats with the Proc Format Picture Statement Vincent L. Timbers 2
NESUG 2000 Indexing and Compressing SAS Data Sets: How, Why, and Why Not Andrew H. Karp 5
NESUG 2000 SAS Program Efficiency for Beginners Bruce F. Gilsen 10
NESUG 2000 Some Uses (and Handy Abuses) of PROC TRANSPOSE Ralph W. Leighton 12
NESUG 2000 The INPUT Statement: Where It's @ Ronald P. Cody 10
NESUG 2000 Visualizing Longitudinal Ordinal Data Using Data Mosaics Matthew T. Downs 4
NESUG 2000 Working with SAS Date and Time Functions Andrew H. Karp 7
WUSS 2000 By Hook or By Crook: Overcoming Resource Limitations Curtis A. Smith source 8
WUSS 2000 Indexing and Compressing SAS Data Sets: How, Why, and Why Not Andrew H. Karp source 5
WUSS 2000 Playing With String Data David Fickbohm source 6
WUSS 2000 Pruning the SASLOG - Digging into the Roots of NOTEs, WARNINGs, and ERRORs Andrew T. Kuligowski source 5
MWSUG 2000 Indexing and Compressing SAS Data Sets: How, Why, and Why Not Andrew H. Karp 5
MWSUG 2000 Input File Cleaning and Screening Using Base SAS Mike D. Tangedal 7
MWSUG 2000 Making the Transistion from College to Industry Brian K. Varney 3
SEUGI 2000 Development of Micro-Aggregation System for Confidential Data [presentation] L. Bechet,
P. Loosveldt,
T. Le Tri		 source 44
SEUGI 2000 E.S.S.E. Editing Systems Standard Evaluation - Software Framework [presentation] A. Manzari,
G. Della Rocca,
M. Di Zao,
O. Luzi		 source 20
SEUGI 2000 SAS Software for the Analysis of Epidemiologic Data [presentation] Hans-Peter Altenburg source 39
PharmaSUG 2000 Check Digits: Avoiding Errors in Clinical Trials Malachy J. Foley 5
PharmaSUG 2000 Using SAS Functions in Data Steps Yue Ye 5
PharmaSUG 2000 Using SAS Macro to List the Frequencies and Statistics in a Summary Table Kinwah Fung,
Toronto Sunnybrook		 6
SUGI 2000 Arrays: In and Out and All About Marge Scerbo source 6
SUGI 2000 Avoiding Mayhem in the New Millennium: Working with Missing Data JoAnn R. Matthews source 10
SUGI 2000 By Hook or By Crook: Overcoming Resource Limitations Curtis A. Smith source 6
SUGI 2000 Changes and Enhancements to the SAS Component Language (SCL) for Component Development Carl LaChapelle,
Tammy L. Gagliano		 source 10
SUGI 2000 Codebook: Taking Another Look at Your Data Greg Silva source 3
SUGI 2000 Indexing and Compressing SAS Data Sets: How, Why, and Why Not Andrew H. Karp source 6
SUGI 2000 Keeping Your Data in Step - Utilizing Efficiencies Michael G. Sadof source 7
SUGI 2000 Support System - A Web-Based SAS IntrNet Tabulator Stephen Heacock source 5
SUGI 2000 The INPUT Statement: Where It's @ Ronald P. Cody source 10
SESUG 1999 Programming Solutions with SAS Formats and Informats Imelda C. Go source 9
SESUG 1999 Pruning the SASLOG - Digging into the Roots of NOTEs, WARNINGs, and ERRORs Andrew T. Kuligowski source 8
WUSS 1999 Efficiency Techniques for SAS Software Users Kirk Paul Lafler source 6
WUSS 1999 Hook or Crook Curtis A. Smith source 6
WUSS 1999 Indexing and Compressing SAS Data Sets: How, Why, and Why Not Andrew H. Karp source 5
WUSS 1999 Working with SAS Date and Time Functions Andrew H. Karp source 8
NESUG 1999 Data Cleaning 101 Ronald P. Cody 10
NESUG 1999 Effective Methods for Graphical Analysis of Quantitative and Categorical Survey Variables Donald T. Gantz 10
NESUG 1999 SAS Program Efficiency for Beginners Bruce F. Gilsen 10
NESUG 1999 Some Uses (and Handy Abuses) of PROC TRANSPOSE Ralph W. Leighton 10
NESUG 1999 Tips and Techniques for Large Files Andrew H. Karp 4
NESUG 1999 Using ANNOTATE Macros as Shortcuts Arthur L. Carpenter 6
NESUG 1999 Using SAS/GRAPH Software to Create Graphs on the Web Himesh Patel,
David Caira		 10
MWSUG 1999 Working with SAS Date and Time Functions with Reference to Year 2000 Issues Andrew H. Karp 7
SEUGI 1999 Boosting your SAS/AF applications with the power of the WIN32 API [presentation] Martin Sjoholm source 14
SUGI 1999 An SQL List Macro to Retrieve Data from Large SAS/DB2 Databases Thiru Satchi source 6
SUGI 1999 Indexing and Compressing SAS Data Sets: How, Why, and Why Not Andrew H. Karp source 5
SUGI 1999 Keeping Your Data in Step - Utilizing Efficiencies Michael G. Sadof source 7
SUGI 1999 Programming Idioms Using the SET Statement Jack E. Fuller source 6
SUGI 1999 SAS Program Efficiency for Beginners Bruce F. Gilsen source 9
SUGI 1999 The Science and Art of Market Segmentation Using PROC FASTCLUS Mark E. Thompson source 5
SUGI 1999 The Supplement of the COMPARE Procedure Weiqin Pan source 6
SUGI 1999 Using ANNOTATE Macros as Shortcuts Arthur L. Carpenter source 6
SUGI 1999 Using SAS/GRAPH Software to Create Graphs on the Web David J. Caira,
Himesh Patel		 source 10
SUGI 1999 Working with Dates in SAS Software Christine A. Smiley source 3
SUGI 1999 Working with SAS Date and Time Functions Andrew H. Karp source 7
MWSUG 1998 A Bag of FSEDIT Tricks Derek P. Morgan,
Michael A. Province		 7
MWSUG 1998 Working with Large Data Sets: How, Why and Why Not Andrew H. Karp 6
WUSS 1998 Working with SAS Date and Time Functions Andrew H. Karp source 7
NESUG 1998 Indexing and Compressing Data Sets: How, Why and Why Not Andrew H. Karp 5
NESUG 1998 SAS Program Efficiency for Beginners Bruce F. Gilsen 10
NESUG 1998 The INPUT Statement: Where It's @ Ronald P. Cody 10
NESUG 1998 Using SAS MACRO Facility and DATA Step Functions for Automated and Selective Deletion of Records With Missing Information David Olaeye 10
NESUG 1998 Using SAS/GRAPH Software to Create Graphs for the Web Himesh Patel (Roger Chenoweth) 10
NESUG 1998 Working with SAS Date and Time Functions With Reference to Year 2000 Andrew H. Karp 8
SESUG 1998 Are You Losing Records & Don't Know It? Textmerg: A SAS Macro That Handles Hidden Problems in Many-to-Many Merges Debra H. Weiner 4
SESUG 1998 Building Bridges Between Oracle and SAS Bill Calvert 6
SESUG 1998 Creating Numeric Formats Based on Precision, Not Magnitude John R. Gerlach 3
SESUG 1998 Data Dictionary Approaches to Edit and Validate Survey Data Naoko S. Steams 4
SESUG 1998 Formats as a Programming Tool John R. Gerlach 7
SESUG 1998 Long verses Wide - A Different Way of Looking at SAS Coding Richard Goldsmith 6
SESUG 1998 PROC DATACHK Revisited: The DATACHK Macro Jeffrey M. Abolafia,
Carry W. Croghan		 6
PNWSUG 1998 The Science and Art of Market Segmentation Using PROC FASTCLUS Mark E. Thompson 6
PNWSUG 1998 Working with SAS Date and Time Funcitons Andrew H. Karp 8
PharmaSUG 1998 Using Proc Report in Displaying Clinical Laboratory Results Ann Root 3
SUGI 1998 A Comprehensive Codebook Generator Naoko S. Stearns,
John R. Gerlach		 source 4
SUGI 1998 Creating Numeric Formats Based on Precision, Not Magnitude John R. Gerlach source 3
SUGI 1998 Creating Scatterplot Matrices Using SAS/GRAPH Software Robert A. Vierkant source 7
SUGI 1998 DEMOXRPT: Macros for Writing Exception Reports; Perform Range and Logic Checks on a Data Set; Write File of Exceptions to Edit and Use for Updates Ronald J. Fehd source 4
SUGI 1998 On Data Transfer Aileen L. Yam source 10
SUGI 1998 SAS Program Efficiency for Beginners Bruce F. Gilsen source 9
SUGI 1998 Taking the Mystery Out of SAS Macro When Using CALL SYMPUT K. Larry Landers,
Monique Bryher		 source 6
SUGI 1998 The INPUT Statement: Where It's @ Ronald P. Cody source 10
SUGI 1998 The Mediator Pattern Can Organize an Object-Oriented Application Kevin T. Brown source 5
SUGI 1998 The SET Statement and Beyond: Uses and Abuses of the SET Statement JoAnn R. Matthews source 7
SUGI 1998 Using SAS/GRAPH Software to Create Graphs on the Web Himesh Patel source 10
SUGI 1998 Working with SAS Date and Time Functions Andrew H. Karp source 7
SCSUG 1997 Having a Ball with Strings Ronald P. Cody 8
SCSUG 1997 The INPUT Statement: Where is it's @ Ronald P. Cody 10
PNWSUG 1997 PROC REPORT, A Guided Tour Martin Haase 7
WUSS 1997 A Data Management System for Use in Smaller Biotech Companies Ellen Krantz source 5
WUSS 1997 Efficiency Ideas for Large Files J. Meimei Ma,
Andrew H. Karp		 source 9
WUSS 1997 Taking the Mystery Out of SAS Macro When Using CALL SYMPUT K. Larry Landers,
Monique Bryher		 source 6
WUSS 1997 Working with SAS Date and Time Functions Andrew H. Karp source 7
NESUG 1997 Efficiency Ideas for Large Files Meimei Ma 8
NESUG 1997 Gentle Introduction to Information Theoretic Model Selection Criteria and Their Application in Clinical Trials Xi Chen 4
NESUG 1997 Macro to Create a Comma Delimited Extract File Thomas Garvin 3
NESUG 1997 SAS Program Efficiency for Beginners Bruce F. Gilsen 9
NESUG 1997 The INPUT Statement: Where It's @ Ronald P. Cody 10
MWSUG 1997 A Bag of FSEDIT Tricks Derek P. Morgan,
Michael A. Province		 5
MWSUG 1997 Efficency Ideas for Large Files J. Meimei Ma,
Andrew H. Karp		 9
MWSUG 1997 Working with SAS Date and Time Functions Andrew H. Karp 7
MWSUG 1997 XRPT: macros %ID and %SHOW for writing Exception Reports: perform range and logic checks on a data set: write file of exceptions to edit and use for updates Ronald J. Fehd 4
SESUG 1997 Exploring Data With Base SAS Software Thomas J. Winn Jr. 7
SESUG 1997 Learning About Your Data: Tips and Techniques for Looking at Large Files Sandra D. Schlotzhauer 10
SEUGI 1997 A data management system for use in the pharmaceutical and biotechnology Industries Ellen Krantz source 12
SEUGI 1997 Data mining in the banking and insurance industry Juan- Ramón Amat- Barras source 18
SUGI 1997 Double Data Entry in FSEDIT Using Point-of-Entry Verification Derek P. Morgan,
Michael A. Province		 source 6
SUGI 1997 Efficiency Ideas for Large Files J. Meimei Ma,
Andrew H. Karp		 source
SUGI 1997 Having a Ball with Strings Ronald P. Cody source 8
SUGI 1997 Learning About Your Data: Tips and Techniques for Looking at Large Files Sandra D. Schlotzhauer,
Bob Anschuetz		 source
SUGI 1997 PROC DATACHK Revisited: The DATACHK Macro Jeffrey M. Abolafia source 6
SUGI 1997 SAS Code Generator Based on Table-Driven Methodology in a Batch Environment Arthur K. Yao source 6
SUGI 1997 SAS Program Efficiency for Beginners Bruce F. Gilsen source 10
SUGI 1997 Some Practical Ways to Use the New SAS Pattern-Matching Functions Michael D. Rhoads source 4
SCSUG 1996 Developing a User Friendly Data Entry and Access Application Using SAS/FSP Gordon Holley,
Leslie Dale		 12
SESUG 1996 PROC Report: Your Multi-Purpose Reporting Tool Jim Snider 10
SESUG 1996 Screen Control Language - the Undercover Sleuth of FSEDIT* Robert F. Davis 11
SESUG 1996 Software Validation and Testing Andrew T. Kuligowski 9
NESUG 1996 Field Content Verification Using SQL Dictionary Tables Jack N. Shoemaker 5
NESUG 1996 Having a Ball with Strings Ronald P. Cody 7
NESUG 1996 Incorporating SAS Programs into a Multi-functional Computer Assisted NDA (CANDA) Kathryn Eisen,
Sam X. Ye,
Carolyn Kingman		 4
NESUG 1996 Practical Approaches to the Epi Info/SAS Software Link Margaret Ann Goetz 10
NESUG 1996 SAS ARRAYS: A Basic Tutorial Bruce F. Gilsen 9
NESUG 1996 SAS Program Efficiency for Beginners Bruce F. Gilsen 10
NESUG 1996 Using Across Variable in PROC REPORT Procedure Min Fu 3
MWSUG 1996 Using SAS Genmod Procedure to fit Diagonal Class Models to Square Contingency Tables Having Ordered Categories H. Bayo Lawal 12
WUSS 1996 Data Know Thyself: A Macro to Tell You Everything You Need to Know About Data Set Characteristics Karsten M. Self source 5
PNWSUG 1996 Providing Extended Help in FSEDIT Sessions Paul D. Hamilton 3
SUGI 1996 Advanced Features of PROC REPORT Workshop Kim L. Kolbe Ritzow source 11
SUGI 1996 Arrays: APowerful Time Saver Ronald P. Cody source 7
SUGI 1996 Data Transfer between SAS Software and Other PC Software J. Michael Miscisin source 5
SUGI 1996 Hands-on Workshop for the FSEDIT and FSVIEW Procedures Marge Scerbo,
Alan C. Wilson		 source 7
SUGI 1996 SAS Program Efficiency for Beginners Bruce F. Gilsen source 10
SUGI 1996 Software Validation and Testing Andrew T. Kuligowski source 9
SUGI 1996 Working with SAS Date and Time Functions Andrew H. Karp source 5
MWSUG 1995 Data Management and Manipulation: Examples for Normalized Databases and Spreadsheets Marlene Goormastic,
Shelly Sapp		 6
NESUG 1995 Advanced Features of PROC REPORT in Batch Mode Christopher Yindra 10
NESUG 1995 An Efficient Way to Condense Unbalanced Panel Data Andrew J. Epstein 2
NESUG 1995 More Advanced Features of PROC REPORT Kim L. Kolbe Ritzow 6
NESUG 1995 SAS Program Efficiency for Beginners Bruce F. Gilsen 11
NESUG 1995 Using Base SAS Efficiently Bill MacHose 7
NESUG 1995 Using SAS with SYBASE For Database Management Yusuf M. Mohanedshah,
Carolyn D. Williams		 8
NESUG 1995 Working with SAS Date and Time Functions Andrew H. Karp 5
SESUG 1995 Applications Development The Philotic Connection: The Health Data Analysis System An Adhoc Reporting System Authors: Charlie Sastnage! & Kevin Gates Charlie Bastnagel,
Kevin Gates		 10
SESUG 1995 Working with SAS Date and Time Functions Andrew H. Karp 5
SEUGI 1995 Implementation of a Class Libary to Model Fuzzy Sets and Operators Using SAS/AF Bogdan Lelutiu source 16
SEUGI 1995 Integrated Validation of Data Mike Thomson source 5
SEUGI 1995 Macro Procedure for Equivalence Testing Francois Montestruc source 16
SUGI 1995 An Introduction to PROC FSEDIT and FSVIEW Marge Scerbo,
Alan C. Wilson		 source 7
SUGI 1995 An Introduction to the Power of PROC FSEDIT Michael S. Lajiness source 6
SUGI 1995 MACRO Facility Enhancements for Release 6.11 Jeffrey A. Polzin,
Susan M. O'Connor		 source 10
SUGI 1995 SAS ARRAYS: A Basic Tutorial Bruce F. Gilsen source 10
SCSUG 1994 Creating an Autocall Macro to Convert SAS Datasets to Text Delimited Files Doyle McDonald 9
SCSUG 1994 Exploring Data Using Base SAS Software Thomas J. Winn Jr. 6
WUSS 1994 Working with SAS Date and Time Functions Andrew H. Karp source 5
NESUG 1994 A SAS Macro Incorporating Discriminant Analystis Techniques Sivaram Kalyandrug,
Antonis D. Koutsoukos,
Lawrence V. Rubinstein		 9
NESUG 1994 Assignin a I/O Value to a Variable through Comparisons Charles A. DePascale 1
NESUG 1994 Avoiding, Accepting and Taking Advantage of Missing Data Warren Repole Jr. 10
NESUG 1994 Full-Screen Data Entry and Editing Using SAS/FSP Software Linda P. Atkinson 10
MWSUG 1994 Advanced Features of PROC REPORT Kim L. Kolbe Ritzow 10
SEUGI 1994 The SAS System: A Complete Client/Server Solution Cheryl A. Garner source 11
SUGI 1994 Exploring Data With Base SAS Software Thomas J. Winn Jr. source 6
SUGI 1994 How to Write a Macro to Make External Flat Files H. Ian Whitlock source 9
SUGI 1994 Introduction to SCL Lists Roger Staum,
Jeremy Staum		 source 6
SUGI 1994 SAS/PH-Clinical Software: Study Startup Hints Juliana M. Ma,
Sandra D. Schlotzhauer		 source
SUGI 1994 The WHERE Clause and SCL Marge Scerbo source 2
NESUG 1993 A Routine to Convert Missing Numeric Values to Zero Paul H. Grant Jr. 1
NESUG 1993 A Utility Program that Generates Descriptive Statistics on the Attributes of SAS Variables Larry Specht,
Charles K. Skee		 11
NESUG 1993 Numeric Variable Validation Using Arrays in SCL Marge Scerbo 4
NESUG 1993 The Application of SAS Procedures in the Evaluation of the Fractal Dimension as a Patteren Recognition Feature John S. DaPonte,
Joseph Vitale		 12
NESUG 1993 The WHERE Clause and SCL Marge Scerbo 2
SCSUG 1993 Exploring Data Using Base SAS Software Thomas J. Winn Jr. 30
SCSUG 1993 The SET Statement and Beyond: Uses and Abuses of the SET Statement S. David Riba 7
MWSUG 1993 Efficent Use of Data Storage with SAS Eric Webster 9
MWSUG 1993 PC Data Conversion: Avoiding the Pitfalls Daniel R. Bretheim 6
MWSUG 1993 Techniques for Distributed Application Development Cheryl A. Garner 10
MWSUG 1993 Techniques to Improve Efficiency in SAS Programs David Sommer 5
MWSUG 1993 The SET Statement and Beyond: Uses and Abuses of the SET Statement S. David Riba 7
SUGI 1993 A Macro to Make External Flat Files H. Ian Whitlock source 6
SUGI 1993 An Environmental Database Using Character Data Storage Nat H. Wooding Jr. source 5
SUGI 1993 Clinical Data Processing Efficiency Techniques Denis Michel source 6
SUGI 1993 Getting to Know You, Getting to Know All About You: Simple Techniques for Forming a Relationship with Your Data Arthur L. Carpenter source 6
SUGI 1993 PC Data Conversion: Avoiding the Pitfalls Daniel R. Bretheim source 6
SUGI 1993 SAS Data Dictionary Tool Box Allan E. Williams,
Peter Dueber,
Lynette M. Browne		 source 5
SUGI 1993 The SET Statement and Beyond: Uses and Abuses of the SET Statement S. David Riba source 7
SUGI 1993 Understanding the Transpose Procedure Susan P. Repole source 5
SUGI 1993 Using the SAS DATA Step Language to Read dBASE III Files Michael C. Harris source 7
SESUG 1993 Manipulating Large Highway and Crash Datasets Elizabeth G. Hamilton,
Carolyn D. Williams		 6
SESUG 1993 New Drug Application Table Writing Strategies and Notes Andy Barnett,
Hong Li,
Binita Modi,
Alfred Montalvo Jr.		 6
SESUG 1993 Programs That Write Programs: How to Flatten SAS Data Sets and Other Solutions to Everyday Problems John Iwaniszek,
Denise Svendsgaard Williamson		 5
SESUG 1993 Space Saving Tools: Compression in SAS 6.07 Philip Bardsley 9
SCSUG 1992 Converting SAS Data Sets with Label Information to ASCII Files Glenn Millard 10
NESUG 1992 Creating Numberic Collating Sequences Using the NOBS Data Set Option Gary L. Katsanis 2
NESUG 1992 Manipulating Large Highway and Crash Datasets Elizabeth G. Hamilton,
Carolyn Williams		 6
NESUG 1992 PROC FORMAT Jack N. Shoemaker 6
NESUG 1992 Using the SAS DATA Step Language to Read dBASE III Files Michael C. Harris 7
MWSUG 1992 SAS Efficiency Techniques David Sommer 4
SUGI 1992 An Easy-to-Use Double-Entry Routine Trent L. McDonald source 6
SUGI 1992 Simple SAS Analyses That Add Value to Corporate Databases Richard Sue source 4
SUGI 1992 Spin, Rotate, and View Three-Dimensional Point Clouds: Dynamic Exploration of SAS Data Sets without SAS/INSIGHT "Software Arthur L. Carpenter,
Clinton A. Carpenter		 source 6
SUGI 1992 Tetraplot - Four Vertices Are Better Than Three Leon L. Fedenczuk,
Mark Bercov		 source 5
NESUG 1991 A Cook's Tour of SAS Formats and Informats Ralph W. Leighton 8
NESUG 1991 A Programmer's First Experiences with a Real-Life Proc Report Application Lonni Schulz 7
NESUG 1991 An Introduction to SAS Functions Ronald P. Cody 10
NESUG 1991 Efficient Programming Revistited: A Review of Performance-Enhancing Features in Version 6.06 Frank C. DiIorio,
Paul Dalberth		 9
NESUG 1991 Efficient Use of Numeric and Character Data Types Una Smith 9
NESUG 1991 Introduction to Efficient Programming Techniques David S. Septoff,
Paige Valentine-Query		 5
NESUG 1991 Macros for User-Friendly Systems Robert Virgile 8
NESUG 1991 PIAF-A Real End-User Computing Environment Paul Proulx,
Nancy Faille		 6
NESUG 1991 Using SAS Character and List Functions to Extend the SAS Systems Par I. Data Step Applications Sigurd W. Hermansen 6
MWSUG 1991 Efficient Programming Revisited: A Review of Performance-enhancing Features in Version 6.06 Frank C. DiIorio,
Paul Dalberth		 9
SEUGI 1991 Inferences Control in Data Bases A. Bekhechi source 8
SEUGI 1991 Optimising Performance of the SAS System Under OS/2 Craig Dury source 5
SEUGI 1991 The SAS System as a DMBS Query/Report System Across Multiple Platforms Wilfried Schollenberger source 8
SUGI 1991 A Factor Analysis of Employee Attitudes about the Internal Operational and Administrative Characteristics of a City Government Anthony C. Waclawski source 8
SUGI 1991 A Macro Program for Generating Customized Reports from User-Specified Column Variables and Page-Sort Variables Jimmy A. DeFoor source 7
SUGI 1991 A Reasonably Comprehensive Test of SAS Programming Skills Standish Sibley source 5
SUGI 1991 Analyzing a Survey: A Bunch of Tips for a Mess of Questions William G. LeBlanc source 4
SUGI 1991 Efficiency Revisited: Large Files and Release 6.06 Juliana M. Ma source 6
SUGI 1991 Efficient Use of Numeric and Character Data Types Una Smith source 8
SUGI 1991 Optimizing the Performance of the SAS System under OS/2 Carolyn D. Williams,
Julie A. Maddox		 source 5
SUGI 1991 PIAF-A Real End-User Computing Environment Paul Proulx,
Nancy Faille		 source 6
SUGI 1991 SAS Macros for Converting Between ARC/INFO Import/Export Files and SAS Data Sets Barbara L. Jackson source 6
SUGI 1991 Using the C Language with SAS/TOOLKIT Software Oliver Bradley source 11
NESUG 1990 Basics of the INPUT Statement Robert Virgile 7
NESUG 1990 Efficient SAS Software Programming: A New Synthesis Jean Hardy 8
NESUG 1990 Exact Nonparametric Inference: Theory, Applciations and Software Cyrus R. Mehta 16
NESUG 1990 Working with Arrays Ronald P. Cody 8
SEUGI 1990 Exploratory Data Analysis of a Cube of Data by the ACT (STATIS Method) Using SAS/IML and SAS/GRAPH Software Pierre Traissac source 8
SUGI 1990 Real Men Do Use Menus: Developing Applications with SAS/AF Software Kenneth E. Johnson source 9
SUGI 1990 Using the SAS System for Data Collection under the VMS'"Operating System Ed Blair source 8
SUGI 1990 Using the SAS System to Develop Some Experimental CASE Tools Michael K. Burns,
Hoy W. Rogers		 source 10
SUGI 1990 Working with Arrays Ronald P. Cody source 7
SUGI 1990 Working with the SUMMARY Procedure: An Introduction John S. Boyden source 6
SUGI 1989 Calculation of Basic Statistics for BY Groups on Large Data Sets Akos Felsovalyi source 6
SUGI 1989 Improving Program Efficiency through Coding Techniques Daniel E. Lodter source 6
SEUGI 1988 Producing More Efficient SAS Applications Peter Herbertz source 14
SUGI 1988 A DataEase' to SAS Interface Frank E. Harrell Jr.,
Lawrence H. Muhlbaier		 source 5
SUGI 1988 A Flow Chart for Users to Solve SAS Programming Problems Joy Reel source 3
SUGI 1988 Annotate with the GPLOT, GCHART, and GMAP Procedures: Using the Data System Anthony L. Friebel source 10
SUGI 1988 Don't Leave Your SAS Code in Dis-array Robert Langill source 6
SUGI 1988 PROC DICHOT: A SAS Procedure for Creating Dichotomous Variables Paul Lambert source 6
SEUGI 1987 Efficiency and Performance Considerations for the SAS System under PC DOS Gordon W. Davis,
Scott S. Sweetland		 source 9
SUGI 1987 A Sample Application for the New INFILE/FILE User Exit for IBM Mainframes Susan Marshall source 5
SUGI 1987 Efficiency and Performance Considerations for the SAS System under PC DOS Gordon W. Davis,
Scott C. Sweetland		 source 9
SUGI 1987 Input of Questionnaire Data Using the PROC FSEDIT Screen Michael P. Hudson source 6
SUGI 1987 Optimizing IBM PC Systems for SAS Software Paul L. Marsh source 4
SUGI 1987 Supporting End-User Computing through Full-Featured SAS Files Robert Langill source 6
SUGI 1986 How to Write SAS Procedures for Version 5 Ronald Parker source 10
SUGI 1986 PERSONYRS: A SAS Procedure for Person Year Analyses Glenn A. Augustine,
Erik J. Bergstralh,
Jon L. Kosanke,
Kenneth P. Offord		 source 6
SUGI 1985 Fast Reporter Mark Freeman source 5
SUGI 1985 Optimizing Storage of SAS Data Sets Carol A. Bogardus,
Martin J. Rosenberg		 source 4
SEUGI 1984 New Statistical Features in SAS Gerhard Held source 13
SUGI 1984 PROC ARKMAP: A Low Cost Method of Presenting Geographical Data in an Educational Environment Dennis W. King,
Richard M. Smith		 source 3
SUGI 1984 PROC SPFLINK: A Direct Interface Between the SAS System and ISPF Luigi Muro,
Larry Shetzer		 source 6
SUGI 1984 SAS Processing Techniques Tom Krysak,
David Riave		 source 6
SUGI 1984 STRATI F: A Procedure for Producing Stratified Variables M. G. Sri Ram source 5
SEUGI 1983 Archival Storage of SAS Files Karsten Boye Rasmussen 8
SUGI 1983 A Program to Read SPSS-X' System Files Grant Blank,
Andrew A. Norton		 source 5
SUGI 1982 PROC M204SAS: A SAS Interface with the Model 204 Data Base Management System Christopher Rogers,
Cary Toor		 source 6
SUGI 1980 PROC SURVFIT: A Procedure for Estimating Survival Curves Using Kaplan-Meier or Actuarial Methods Glenn A. Augustine,
Thomas R. Fleming,
Kenneth P. Offord,
William F. Scott		 source 7
SUGI 1980 Slope Ratio Bioassay Using SAS Janet E. Field,
Rudolph S. Parrish,
Glenn O. Ware		 source
SUGI 1977 PROC DAMCOE - SAS 72 Procedure for Landsat Registration Paul D. Hopkins source 4
SUGI 1977 Producing SAS Files from Larger Master Files for a Clinical Research Project Frank E. Harrell Jr. source 3
SUGI.ONE 1976 Abbott Written Additions to SAS Jane Abel,
George C. Chao,
Julian Horwich,
Jim Trefren		 source 2

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