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1020 papers and 9 presentations; 806 titles.

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Conference × Year × Title × Authors Extras Pages
WUSS 2026 Creating and Customizing High-Impact Excel Workbooks from SAS with ODS EXCEL Joshua M. Horstman source 16
PharmaSUG 2026 Boolean Rhapsody: 50 shades of true Is this the real code? Is this just fantasy? Charu Shankar source 36
PharmaSUG 2026 Building ADaM Datasets from Scratch using R: A SAS programmer-s Perspective Patel Mukesh,
Nilesh Patel		 source 15
PharmaSUG 2026 Efficiency Techniques in SAS 9.4 Stephen B. Sloan source 9
PharmaSUG 2026 SAS Performance Tuning Techniques (From Slow to Scalable) Kirk Paul Lafler source 18
PharmaSUG 2026 SAS Programming techniques for efficiency and code optimization Jayanth Iyengar source 27
PharmaSUG 2026 Speeding Up Your Validation Process is As Easy As 1, 2 and 3 Alice M. Cheng source 19
PharmaSUG 2026 Understanding Administrative Healthcare Datasets using SAS programming tools Jayanth Iyengar source 25
PHUSE EU 2025 FUN WITH FIGURES Miriam Amor source
presentation source		 10
MWSUG 2025 Large-Scale Time Series Forecasting in Model Studio Danny R. Modlin source 39
SESUG 2025 Efficiency Techniques in SAS 9 Stephen B. Sloan 9
SESUG 2025 Large-Scale Time Series Forecasting in Model Studio Danny R. Modlin 39
SESUG 2025 Simplifying SAS Viya: Explaining the Compute and CAS Servers, Caslibs, and In-Memory Data Carleigh Jo Crabtree 27
SESUG 2025 Writing ESTIMATE statements to compare continuous scores over time overall and by group Alexis Wardell,
Allison M. Deal		 18
WUSS 2025 Large-Scale Time Series Forecasting in Model Studio Danny R. Modlin source 39
PharmaSUG 2025 Better, Faster, Stronger: A Case Study in Updating SAS Macro Code with Run-time Optimization in Mind Valerie Finnemeyer source 10
PharmaSUG 2025 Efficiency Techniques in SAS 9 Stephen B. Sloan source 9
PharmaSUG 2025 Route Sixty-Six to SAS Programming, or 63 (+3) Syntax Snippets for a Table Look-up Task, or How to Learn SAS by Solving Only One Exercise! Bartosz Jabłoński,
Quentin McMullen		 source 58
MWSUG 2024 A General Review of Fuzzy Matching Techniques and Their Capabilities Using SAS Kirk Paul Lafler source 31
MWSUG 2024 Creating and Customizing High-Impact Excel Workbooks from SAS with ODS EXCEL Joshua M. Horstman source 16
PHUSE EU 2024 BY-lieve in better BY group tables Chris Spence source
presentation source		 10
PHUSE EU 2024 Changing ODS Outputting Methods to Streamline the TFL Output Process Richard Fryer,
Rose O'Nians Michalowicz		 source
presentation source		 8
SESUG 2024 Advanced DATA Step Look-Back and Look-Ahead Techniques Joshua M. Horstman source 5
SESUG 2024 Comparative Tools in SAS: Analyzing Self-Reported versus Imputed Values Neesha Nathwani,
Sarah Woodruff		 source 30
SESUG 2024 Creating and Customizing High-Impact Excel Workbooks from SAS with ODS EXCEL Joshua M. Horstman source 16
SESUG 2024 Examining the R datastep() Function David J. Bosak source 12
WUSS 2024 Advanced DATA Step Look-Back and Look-Ahead Techniques Joshua M. Horstman source 5
WUSS 2024 Count, Lag, Retain! Let's go through it one more time! Steven C. Black source 10
WUSS 2024 Fifty Shades of SAS Programming, or 53 (+3) Syntax Snippets for a Table Look-up Task, or How to Learn SAS by Solving Only One Exercise! Bartosz Jabłoński,
Quentin McMullen		 source 50
WUSS 2024 Ten Tips for Simulating Data with SAS [presentation] Rick Wicklin source 34
WUSS 2024 The SAS Supervisor Donald J. Henderson source 13
PharmaSUG 2024 An Introduction to the SAS Transpose Procedure and its Options Timothy J. Harrington source 14
PharmaSUG 2024 Integrity, Please: Three Techniques for One-Step Solution in Pharmaceutical Programming Jason J. Su source 15
PharmaSUG 2024 Replicating SAS Procedures in R with the PROCS Package David J. Bosak source 10
PharmaSUG 2024 Understanding Administrative Healthcare Datasets using SAS programming tools Jayanth Iyengar source 25
WUSS 2023 Creating and Customizing High-Impact Excel Workbooks from SAS with ODS EXCEL Joshua M. Horstman source 16
WUSS 2023 Leveraging Logistic Regression and Bootstrap Sampling to Assess a Decision Threshold in Classification Predictive Analytics Colleen E. McGahan source 15
SESUG 2023 Understanding Administrative Healthcare Datasets using SAS programming tools Jayanth Iyengar source 25
PharmaSUG 2023 Low Code Approach to Clinical Application Development using SAS Studio Custom Step David Olaleye source 15
PharmaSUG 2023 Repetitive Analyses in SAS - Use of Macros Versus Data Inflation and BY Group Processing Bradford J. Danner,
Indrani Sarkar		 source 6
PharmaSUG 2023 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 4
PharmaSUG 2023 Understanding Administrative Healthcare Datasets using SAS programming tools Jayanth Iyengar source 24
PHUSE EU 2022 Patient Narratives - Speeding Up Narrative Generation Using ODS Document Stores Neville Cope source
presentation source		 14
SESUG 2022 Long to Wide Format Isaiah Omerhi source 1
SESUG 2022 Offensive Programming: A Threesome of Error-Throwing Macros Quentin McMullen source 20
SESUG 2022 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 5
SESUG 2022 Using the Output Delivery System to Create and Customize Excel Workbooks Joshua M. Horstman source 7
WUSS 2022 Cooking in SAS Viya Charu Shankar source 10
WUSS 2022 Understanding Administrative Healthcare Datasets using SAS programming tools Jayanth Iyengar source 24
WUSS 2022 Using the Output Delivery System to Create and Customize Excel Workbooks Joshua M. Horstman source 7
PharmaSUG 2022 Building Dashboards for Data Review and Visualization using R Shiny John Saida Shaik,
Sreeram Kundoor		 source 13
PharmaSUG 2022 ODS Document & Item Stores: A New Beginning Bill Coar source 72
PharmaSUG 2022 Simple and Efficient Bootstrap Validation of Predictive Models Using SAS/STAT Software Matthew T. Slaughter,
Isaiah Lankham		 source 22
PharmaSUG 2022 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 5
PharmaSUG 2022 Understanding Administrative Healthcare Datasets using SAS programming tools Jayanth Iyengar source 24
PHUSE US 2022 When to CASL and Not to CASL - SAS Programming in the SAS Viya Platform [presentation] Pritesh Desai source 15
SESUG 2021 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 4
SESUG 2021 Using PROC SQL to restructure data for common healthcare applications Tamar C. Roomian source 6
SESUG 2021 Using QUANTREG to Examine time and Drug on Histamine HA level in Mice Abbas S. Tavakoli,
Navid S. Tavakoli		 source 7
PHUSE US 2021 A Quantitative and Metrics-driven Framework for Maximizing Data Utility While Balancing Re-identification Risk [presentation] Stephen Doogan source
video		 18
PharmaSUG 2021 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 4
PharmaSUG 2021 Understanding Administrative Healthcare Datasets using SAS programming tools Jayanth Iyengar source 24
SGF 2021 A Framework for Simple and Efficient Bootstrap Validation in SAS, with Examples Isaiah Lankham,
Matthew T. Slaughter		 source 22
SGF 2021 Harnessing Raw Data From Submission Forms to Gauge Food Insecurity Among College Students Zoraya Cruz-Bonilla source
presentation		 12
SGF 2021 Survey Data Analysis Made Easy With SAS Melanie Dove,
Katherine Heck		 source
presentation		 8
SGF 2021 Twenty Ways to Run Your SAS Programs Faster and Use Less Space Stephen B. Sloan source 4
PHUSE EU 2020 Fairy-tale of Procedure: Proc Sort Soujanya Konda source
video
presentation source		 14
PHUSE EU 2020 It's All About the Base-Procedures Jane Eslinger source
video
presentation source		 18
SESUG 2020 A Game Plan for Beating the IF-THEN-ELSE Overhead in DATA Steps Jason J. Su source 20
SESUG 2020 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 4
SGF 2020 Accelerate DATA Step BY-Group Processing in SAS Viya Jason Secosky,
David Bultman		 source 14
SGF 2020 Best Practices for Converting SAS Code to Leverage CAS Steven Sober,
Brian Kinnebrew		 source 11
SGF 2020 Best Practices in SAS Programming to Support Ever-Increasing Data Loads. John Schmitz source 15
SGF 2020 Coding in SAS Viya Charu Shankar source 18
SGF 2020 Dynamic Programming With The SAS Hash Object Paul M. Dorfman source 23
SGF 2020 It's All about the Base-Procedures, Part 2 Jane Eslinger source 20
SGF 2020 Neural-Network Based Forecasting Strategies in SAS Viya Steven C. Mills source 14
SGF 2020 Scalable Cloud-Based Time Series Analysis and Forecasting Using Open Source Software Javier Delgado source 21
SGF 2020 Twenty Ways to Run Your SAS Programs Faster and Use Less Space Stephen B. Sloan source 5
SGF 2020 Using a Microsimulation to Evaluate Population and Policy Changes on Program Integrity Priorities Jonathan Smith,
Meghan Beckowski,
Michael Greene,
Andrew Kemple,
Bil Westerfield		 source 15
PharmaSUG 2020 %MVMODELS: a Macro for Survival and Logistic Analysis Jeffrey P. Meyers source 23
PharmaSUG 2020 Enhanced Visualization of Clinical Pharmacokinetics Analysis by SAS GTL Min Xia source 9
PharmaSUG 2020 It's All about the Base-Procedures, Part 2 Jane Eslinger source 20
PharmaSUG 2020 Python-izing the SAS Programmer 2: Objects, Data Processing, and XML Mike Molter source 18
PharmaSUG 2020 Transpose Procedure: Turning it Around Again Janet E. Stuelpner source 8
SESUG 2019 Interactive Graphs Kriss Harris source 24
SESUG 2019 PROC SQL for PROC SUMMARY Stalwarts Christianna S. Williams source 18
SESUG 2019 The Gender Gap in the Education System Geoffrey Dean source 14
SESUG 2019 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 4
SESUG 2019 Using SAS to examine peripheral intravenous access using ultrasound guided Abbas S. Tavakoli,
Courtney Prince,
Stephanie Burgess		 source 6
SCSUG 2019 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 6
MWSUG 2019 Interactive Graphs Richann J. Watson,
Kriss Harris		 24
MWSUG 2019 Understanding Administrative Healthcare Datasets using SAS programming tools Jayanth Iyengar 24
WUSS 2019 Interactive Graphs Kriss Harris,
Richann J. Watson		 source 24
WUSS 2019 Merge with Caution: How to Avoid Common Problems when Combining SAS Datasets Joshua M. Horstman source 16
PharmaSUG 2019 Interactive Graphs Kriss Harris,
Richann J. Watson		 source 24
PharmaSUG 2019 Python-izing the SAS Programmer Mike Molter source 19
SGF 2019 Cryptosystem for Protecting Personal Information and Data Visualization using SAS Visual Analytics Patrick Sekgoka,
Olufemi Adetunji		 source 8
SGF 2019 Data Quality Programming Techniques with SAS Cloud Analytic Services Nicolas Robert source 10
SGF 2019 Execution of User-Written DS2 Programs inside Apache Spark Using SAS In-Database Code Accelerator David Ghazaleh source 18
SGF 2019 Sparking Your Data Innovation: SAS Integration with Apache Spark Kumar Thangamuthu source 15
SGF 2019 SuperFreq: using the REPORT Procedure to Create Multi-Level Frequency Tables Jedediah J. Teres source 17
SGF 2019 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 6
SGF 2019 Using PROC SQL to Generate Shift Tables More Efficiently Jenna Cody source 9
SCSUG 2018 Animate Your Data! Richann J. Watson,
Kriss Harris		 source 18
SCSUG 2018 Merge with Caution: How to Avoid Common Problems when Combining SAS Datasets Joshua M. Horstman source 16
SCSUG 2018 PROC COMPARE: What Did I Inadvertently Change? Melissa R. Pfeiffer source 11
PHUSE EU 2018 Animate Your Data! Richann J. Watson,
Kriss Harris		 source
presentation source		 14
PHUSE EU 2018 Time Management: Programming Techniques to Positively Impact Runtimes Ian Sanderson source
presentation source		 9
PHUSE EU 2018 Tree Traversal: Why You Should Never Transpose in PROC SQL Jessica Whittaker-Dixon,
Will Greenway		 source
poster source		 16
SESUG 2018 Animate Your Data! Richann J. Watson,
Kriss Harris		 source 18
SESUG 2018 Emulating FIRST. and LAST. SAS DATA Step Processing in SQL? Concepts and Review Thomas E. Billings source 8
SESUG 2018 From CSV to SAS: Dealing with Empty Fields and Repeated Observations Kelly D. Smith,
Paul G. Earls		 source 7
SESUG 2018 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 4
SESUG 2018 Using PROC SQL to Generate Shift Tables More Efficiently Jenna Cody source 8
MWSUG 2018 Animate Your Data! Richann J. Watson,
Kriss Harris		 18
MWSUG 2018 Efficiency Programming with Macro Variable Arrays Veronica Renauldo 19
MWSUG 2018 Merge with Caution: How to Avoid Common Problems when Combining SAS Datasets Joshua M. Horstman 16
MWSUG 2018 Understanding Administrative Healthcare Datasets using SAS programming tools Jayanth Iyengar 24
WUSS 2018 An Efficient Way to Output Univariate Analysis Results with Multiple Predictors Bocheng Jing,
Kathy Fung,
W. John Boscardin		 source 7
WUSS 2018 Animate Your Data! Richann J. Watson,
Kriss Harris		 source 18
WUSS 2018 Bring the Vampire out of the Shadows: Understanding the RETAIN and COUNT functions in SAS Steven C. Black source 8
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 Discover the Deeper DATA Step Timothy J. Harrington source 14
PharmaSUG 2018 Expand Your Skills from SAS to R with No Complications Andrii Korchak source 12
PharmaSUG 2018 Exploring techniques of using multiple SET statements in a DATA step Yizhong Huang source 10
PharmaSUG 2018 Get Your Sort On: Macro Driven Method for Automated Unique Sorting Kevin Miller source 3
PharmaSUG 2018 Let's Start Something New! A Beginner's Guide to Programming in the SAS CAS Environment Kevin Russell,
Gerry Nelson		 source 15
PharmaSUG 2018 Merge with Caution: How to Avoid Common Problems when Combining SAS Datasets Joshua M. Horstman source 16
PharmaSUG 2018 One Level PDF Bookmark Created by ODS DOCUMENT and PROC DOCUMENT Yanmei Zhang,
Titania Dumas-Roberson		 source 6
PharmaSUG 2018 Statistical programmer application framework with R/Shiny Ashok Gunuganti source 9
SGF 2018 Accelerate Your Analytics with SAS and Teradata Using Disparate Data Sources Paul Segal source 6
SGF 2018 An Easier and Faster Way to Untranspose a Wide File Joe Matise,
Arthur S. Tabachneck,
Matthew J. Kastin,
Gerhard Svolba		 source 36
SGF 2018 Animate Your Data! Richann J. Watson,
Kriss Harris		 source 15
SGF 2018 Merge with Caution: How to Avoid Common Problems when Combining SAS Datasets Joshua M. Horstman source 16
SGF 2018 Parallel Programming with the DATA Step: Next Steps David Bultman,
Jason Secosky		 source 16
SGF 2018 Run-Time Validation of SAS Jobs: A Threesome of Error-Throwing Macros Quentin McMullen source 18
SGF 2018 SAS Fraud Framework and MCMC in Government Estimation of Improper Payments of Social Benefits Rodrigo Hildebrand,
Aloisio Dourado Neto		 source 10
SGF 2018 Scalable Cloud-Based Time Series Analysis and Forecasting Thiago Quirino,
Michael J. Leonard,
Ed Blair		 source 22
SESUG 2017 Beginner Beware: Hidden Hazards in SAS Coding Alissa Wise source 7
SESUG 2017 Leads and Lags: Static and Dynamic Queues in the SAS DATA STEP, 2nd ed. Mark Keintz source 15
SESUG 2017 Merge with Caution: How to Avoid Common Problems when Combining SAS Datasets Joshua M. Horstman source 14
SESUG 2017 Using PROC REPORT and ODS STYLE Options to Make Really Great Tables Wendi L. Wright source 25
PHUSE EU 2017 Comparing Six Techniques to do Data Driven Programming Joris Derks source
presentation source		 8
PHUSE EU 2017 Completing the Data Set Jigsaw: Hints and Tips for Assembling Data Sets Together Cerys Rand source
presentation source		 9
MWSUG 2017 Advanced Macro: Driving a Variable Parameter System with Metadata Arthur L. Carpenter 10
MWSUG 2017 Arbovirus, Varicella and More: Using SAS for Reconciliation of Disease Counts Misty Johnson 8
MWSUG 2017 DATA Step in SAS Viya: Essential New Features Jason Secosky 14
MWSUG 2017 Merge with Caution: How to Avoid Common Problems when Combining SAS Datasets Joshua M. Horstman 14
MWSUG 2017 Proc Transpose Cookbook Douglas Zirbel 12
MWSUG 2017 The Building Blocks of SAS Datasets - S-M-U (Set, Merge, and Update) Andrew T. Kuligowski 13
WUSS 2017 All Aboard! Next Stop is the Destination Excel William E. Benjamin Jr. source 13
WUSS 2017 Analysis of Complex Survey Data with SAS Christine Wells source 6
WUSS 2017 Building Intelligent Macros: Driving a Variable Parameter System with Metadata Arthur L. Carpenter source 10
WUSS 2017 Five Ways to Flip-Flop Your Data Joshua M. Horstman source 10
WUSS 2017 Merge with Caution: How to Avoid Common Problems when Combining SAS Datasets Joshua M. Horstman source 14
WUSS 2017 PROC TABULATE Made Easy Yunin Ludena,
Elizabeth Guerrero Angel		 source 15
WUSS 2017 Simplifying Effective Data Transformation Via PROC TRANSPOSE Arthur X. Li source 12
WUSS 2017 The Future of Transpose: How SAS Is Rebuilding its Foundation by Making What Is Old New Again Scott Mebust source 16
PharmaSUG 2017 A Macro to carry values through observations forwards or backwards over missing or 'null' values within a BY group or a SAS data set. Timothy J. Harrington source 9
PharmaSUG 2017 Expansion of Opportunities in Programming: DS2 Features and Examples of Usage Object Oriented Programming in SAS Serhii Voievutkyi source 11
PharmaSUG 2017 Merge with Caution: How to Avoid Common Problems when Combining SAS Datasets Joshua M. Horstman source 10
PharmaSUG 2017 Multiple Imputation: A Statistical Programming Story Christopher J. Smith,
Scott Kosten		 source 16
PharmaSUG 2017 Power of Interleaving and RETAIN Combination in Data Manipulation Zongming Pan source 10
PharmaSUG 2017 Single File Deliverables: Next Steps Bill Coar source 19
PharmaSUG 2017 The Proc Transpose Cookbook Douglas Zirbel source 12
PharmaSUG 2017 Using Animated Graphics to Show PKPD Relationships in SAS 9.4 Andrew Mccarthy source 8
SGF 2017 Accelerate Your Data Prep with SAS Code Accelerator Paul Segal source 5
SGF 2017 Complex Merging of Emergency Department and Hospitalization Data to Create a Longitudinal Data Set Charlotte Baker source 9
SGF 2017 DATA Step in SAS Viya: Essential New Features Jason Secosky source 14
SGF 2017 Go Ahead and _BREAK_-down: Advanced COMPUTE Block Examples Cynthia L. Zender source
zip		 30
SGF 2017 Leads and Lags: Static and Dynamic Queues in the SAS DATA STEP, 2nd ed. Mark Keintz source 15
SGF 2017 So You Think You Can Combine Data Sets? Christopher J. Bost source 23
SGF 2017 Something for Nothing? Adding Flag Variables Using Group Descriptive Statistics and PROC SQL Sunil Kumar Gupta source 8
SGF 2017 Step Through Your DATA Step: Introducing the DATA Step Debugger in SAS Enterprise Guide Joe M. Flynn source 14
SGF 2017 The Architecture of the SAS Cloud Analytic Services in SAS Viya Jerry C. Pendergrass source 18
SGF 2017 The Future of Transpose: How SAS Is Rebuilding its Foundation by Making What Is Old New Again Scott Mebust source 16
SGF 2017 Using Python with SAS Cloud Analytic Services Kevin D. Smith,
Xiangxiang Meng		 source 23
SCSUG 2016 Anatomy of a Merge Gone Wrong Joshua M. Horstman source 5
SESUG 2016 All Aboard! Next Stop is the Destination Excel William E. Benjamin Jr. source 13
SESUG 2016 Identifying Gaps in Time Series Data Identifying Gaps source 8
SESUG 2016 Leads and Lags: Static and Dynamic Queues in the SAS DATA STEP Mark Keintz source 15
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 The Power of Interleaving Data Yu Feng source 6
PHUSE EU 2016 How Macro Design and Program Structure Impact GPP (Good Programming Practice) in TFL Coding Galyna Repetatska source
presentation source		 8
PHUSE EU 2016 Perish the Sort: Using Indexes and Hash Objects for Efficient Programming Jason Smith source
presentation source		 8
PHUSE EU 2016 Top 10 Uses of Macro %VARLIST - In Proc SQL, Data Step and Elsewhere Jean-Michel Bodart source
presentation source		 12
MWSUG 2016 All Aboard! Next Stop is the Destination Excel William E. Benjamin Jr. 13
MWSUG 2016 An Application of CALL VNEXT John Henry King 4
MWSUG 2016 Anatomy of a Merge Gone Wrong Joshua M. Horstman 5
MWSUG 2016 Data Analysis with User-Written DS2 Packages Robert S. Ray,
William Eason		 11
MWSUG 2016 How to Speed Up Your Validation Process Without Really Trying Alice M. Cheng,
Mike Wise		 22
MWSUG 2016 Leads and Lags: Static and Dynamic Queues in the SAS DATA STEP Mark Keintz 15
MWSUG 2016 Recapping Two Winning ODS Layout Talks for SAS 9.4: ODS Destination for PowerPoint and the ODS PDF Destination Bari Lawhorn 53
MWSUG 2016 Simplifying Effective Data Transformation Via PROC TRANSPOSE Arthur X. Li 13
MWSUG 2016 Sorting a Bajillion Records: Conquering Scalability in a Big Data World Troy Martin Hughes 29
PharmaSUG CN 2016 Hash Object Working Efficiently with Large SAS Datasets [presentation] Yazhen Wang,
Hao Xu		 20
PharmaSUG CN 2016 Using SAS to Assemble Output Report Files into One PDF File with Bookmarks Sam Wang,
Kaniz Khalifa		 5
WUSS 2016 All Aboard! Next Stop is the Destination Excel William E. Benjamin Jr. source 13
WUSS 2016 How to Speed Up Your Validation Process Without Really Trying Alice M. Cheng,
Mike Wise,
Justina M. Flavin		 source 20
WUSS 2016 Identifying Duplicates Made Easy Yunin Ludena,
Elizabeth Guerrero Angel		 source 5
WUSS 2016 Sorting a Bajillion Records: Conquering Scalability in a Big Data World Troy Martin Hughes source 29
WUSS 2016 The Dynamic Duo: ODS Layout and the ODS Destination for PowerPoint Jane Eslinger source 17
PharmaSUG 2016 All Aboard! Next Stop is the Destination Excel William E. Benjamin Jr. source 15
PharmaSUG 2016 Best Practices: Subset Without Getting Upset Mary F. O. Rosenbloom,
Kirk Paul Lafler		 source 17
PharmaSUG 2016 Go Compare: Flagging up some underused options in PROC COMPARE Michael Auld source 14
PharmaSUG 2016 Surviving the SAS Macro Jungle by Using Your Own Programming Toolkit Kevin Russell source 16
PharmaSUG 2016 The Dynamic Duo: ODS Layout and the ODS Destination for PowerPoint Jane Eslinger source 14
SGF 2016 All Aboard! Next Stop is the Destination Excel William E. Benjamin Jr. source
zip		 15
SGF 2016 Data Analysis with User-Written DS2 Packages Robert S. Ray,
William Eason		 source 11
SGF 2016 Dealing with Nanoseconds in SAS Datetime Values in Transaction Processing Richard D. Langston source 4
SGF 2016 Efficiently Create Rates over Different Time Periods (PROC MEANS and PROC EXPAND) Thomas Gant source 9
SGF 2016 Exploring SAS Embedded Process Technologies on Hadoop David Ghazaleh source 17
SGF 2016 How to Speed Up Your Validation Process Without Really Trying Alice M. Cheng,
Justina M. Flavin,
Michael Wise		 source 20
SGF 2016 Leads and Lags: Static and Dynamic Queues in the SAS DATA STEP Mark Keintz source 15
SGF 2016 Multiple-Group Multiple Imputation: An Empirical Comparison of Parameter Recovery in the Presence of Missing Data using SAS Patricia Rodríguez de Gil,
Jeffrey D. Kromrey		 source 15
SGF 2016 Sorting a Bajillion Records: Conquering Scalability in a Big Data World Troy Martin Hughes source
presentation		 29
SGF 2016 That's All Right: More Complex Reports Cynthia L. Zender source
zip		 28
SGF 2016 The Dynamic Duo: ODS Layout and the ODS Destination for PowerPoint Jane Eslinger source 17
SGF 2016 Transformers: Revenge of the PROCs Faron Kincheloe source 11
MWSUG 2015 Are You Missing Out? Working with Missing Values to Make the Most of What is not There Arthur L. Carpenter 12
MWSUG 2015 Decision Management with DS2 Helen Fowler,
Tho H. Nguyen		 6
MWSUG 2015 Staying Relevant in a Competitive World: Using the SAS Output Delivery System to Enhance, Customize, and Render Reports Chevell T. Parker 26
MWSUG 2015 Table Lookup Techniques: From the Basics to the Innovative Arthur L. Carpenter 11
PHUSE EU 2015 SQL by Example: A Comparative Introduction to PROC SQL Jeanina M. Worden source
presentation source		 7
SESUG 2015 How to DoW Paul M. Dorfman source 12
SESUG 2015 Ouch, How did that get there? The pitfalls of merging. Nancy McGarry source 3
SESUG 2015 PROC TRANSPOSE: Flip your Data 90 o and Save Time Rachel Straney source 6
SESUG 2015 The Power of DS2 Programming Bob Matsey source 6
WUSS 2015 Are You Missing Out? Working with Missing Values to Make the Most of What is not There Arthur L. Carpenter source 12
WUSS 2015 DATA Step Merging Techniques: From Basic to Innovative Arthur L. Carpenter source 12
WUSS 2015 Decision Management with DS2 Tho H. Nguyen source 6
WUSS 2015 How to Speed Up Your Validation Process Without Really Trying Alice M. Cheng source 23
WUSS 2015 Leads and Lags: Static and Dynamic Queues in the SAS DATA STEP Mark Keintz source 15
WUSS 2015 S-M-U (Set, Merge, and Update) Revisited Andrew T. Kuligowski source 13
WUSS 2015 Staying Relevant in a Competitive World: Using the SAS Output Delivery System to Enhance, Customize, and Render Reports Chevell T. Parker source 26
WUSS 2015 WUSS 2014 ENCORE: Creating Multi-Sheet Microsoft Excel Workbooks with SAS: The Basics and Beyond Part 1 Vincent DelGobbo source 19
PharmaSUG CN 2015 Hands-on Tutorial for Piecewise Linear Mixed-effects Models Using SAS PROC MIXED Qinlei Huang 15
PharmaSUG 2015 DATA Step Merging Techniques: From Basic to Innovative Arthur L. Carpenter source 12
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 Looking Beneath the Surface of Sorting Andrew T. Kuligowski source 10
PharmaSUG 2015 PROC PRINT - The Granddaddy of All Procedures, Enhanced and Still Going Strong David W. Franklin source 10
PharmaSUG 2015 PROC TRANSPOSE For Fun And Profit John J. Cohen source 18
PharmaSUG 2015 The Path To Treatment Pathways Tracee Vinson-Sorrentino source 6
SGF 2015 Analysis of Survey Data Using the SAS SURVEY Procedures: A Primer Patricia A. Berglund source 19
SGF 2015 Anatomy of a Merge Gone Wrong Joshua M. Horstman source 5
SGF 2015 Automation of Statistics Summary for Census Data in SAS [presentation] Janet Lee source 5
SGF 2015 Best Practices: Subset Without Getting Upset Mary F. O. Rosenbloom,
Kirk Paul Lafler		 source 17
SGF 2015 Don't Copy and Paste--Use BY Statement Processing with ODS to Make Your Summary Tables Jeffrey M. Gossett,
Mallikarjuna Rettiganti		 source 18
SGF 2015 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 Leads and Lags: Static and Dynamic Queues in the SAS DATA STEP Mark Keintz source
zip		 14
SGF 2015 Mapping out SG Procedures and Using PROC SGPLOT for Mapping Frank Poppe source
zip		 14
SGF 2015 Now That You Have Your Data in Hadoop, How Are You Staging Your Analytical Base Tables? Steven Sober,
Donna De Capite		 source 10
SGF 2015 PROC SQL for PROC SUMMARY Stalwarts Christianna S. Williams source 19
SGF 2015 S-M-U (Set, Merge, and Update) Revisited Andrew T. Kuligowski source 13
SGF 2015 Something for Nothing? Adding Group Descriptive Statistics Using SAS PROC SQL Subqueries II Sunil Kumar Gupta source 10
SGF 2015 Staying Relevant in a Competitive World: Using the SAS Output Delivery System to Enhance, Customize, and Render Reports Chevell T. Parker source 26
SGF 2015 Structuring your SAS Applications for Long-Term Survival: Reproducible Methods in Base SAS Programming Paul Thomas source
zip		 13
SGF 2015 Table Lookup Techniques: From the Basics to the Innovative Arthur L. Carpenter source 11
SGF 2015 Using the GLIMMIX and GENMOD Procedures to Analyze Longitudinal Data from a Department of Veterans Affairs Multisite Randomized Controlled Trial Abbas S. Tavakoli,
Marlene Al-Barwani,
Sue Levkoff,
Selina McKinney,
Nikki R. Wooten		 source 11
SESUG 2014 Hidden in plain sight: my top ten underpublicized enhancements in SAS Versions 9.2 and 9.3 Bruce F. Gilsen source 12
SESUG 2014 PROC SQL for PROC SUMMARY Stalwarts Christianna S. Williams source 18
SESUG 2014 PROC TRANSPOSE For Fun And Profit John J. Cohen source 18
SESUG 2014 The DoW-Loop Paul M. Dorfman,
Lessia S. Shajenko		 source 12
PHUSE EU 2014 Consistent Data Delivery Thevaki Mahedevan source
presentation source		 7
PHUSE EU 2014 Frequency Tables - Aspects to Consider Katja Glass source
presentation source		 10
MWSUG 2014 DATA Step Merging Techniques: From Basic to Innovative Arthur L. Carpenter 11
MWSUG 2014 Five Ways to Flip-Flop Your Data Joshua M. Horstman 9
MWSUG 2014 Ignorance is Not Bliss: Pearls of Wisdom for the Novice SAS Programmer Joshua M. Horstman,
Britney D. Gilbert		 9
MWSUG 2014 Parallel Data Preparation with the DS2 Programming Language John Cunningham,
Paul Segal,
Tho H. Nguyen		 11
MWSUG 2014 PDF vs HTML: Can't We All Just Get Along? Scott Huntley,
Cynthia L. Zender		 33
MWSUG 2014 PROC SQL for DATA Step Die-Hards Christianna S. Williams 22
MWSUG 2014 Programming in a Distributed Data Network Environment: A Perspective from the Mini-Sentinel Pilot Project Jennifer R. Popovic 11
MWSUG 2014 Some Techniques for Integrating SAS Output with Microsoft Excel Using Base SAS Vincent DelGobbo 19
MWSUG 2014 Understanding How the DATA Step Works Arthur X. Li 13
WUSS 2014 Best Practices: Subset Without Getting Upset Mary F. O. Rosenbloom,
Kirk Paul Lafler		 source 17
WUSS 2014 LEADS AND LAGS: HANDLING QUEUES IN THE SAS DATA STEP Mark Keintz source 12
WUSS 2014 Parallel Data Preparation with the DS2 Programming Language John Cunningham,
Tho H. Nguyen		 source 11
WUSS 2014 PROC COMPARE: What Did I Inadvertently Change? Melissa R. Pfeiffer source 10
WUSS 2014 Table Lookup Techniques: From the Basics to the Innovative Arthur L. Carpenter source 11
PharmaSUG 2014 Cleaning up your SAS log: Overwritten Variable Info Messages Jennifer M. Srivastava source 6
PharmaSUG 2014 Creating Multi-Sheet Microsoft Excel Workbooks with SAS: The Basics and Beyond Part 1 Vincent DelGobbo source 19
PharmaSUG 2014 Efficient SQL for Pharma ... and Other Industries Christopher R. Olinger source 15
PharmaSUG 2014 Five Ways to Flip-Flop Your Data Joshua M. Horstman source 9
PharmaSUG 2014 Indexing: A powerful technique for improving efficiency Arun Raj Vidhyadharan,
Sunil Mohan Jairath		 source 9
PharmaSUG 2014 MACUMBA - The log belongs to the program Michael Weiss source 8
PharmaSUG 2014 Table Lookup Techniques: From the Basics to the Innovative Arthur L. Carpenter source 11
PharmaSUG 2014 Want to Conquer the Fear of Annotation? Start Using the NOTE Statement Madhuri Aswale source 5
SGF 2014 DATA Step Merging Techniques: From Basic to Innovative Arthur L. Carpenter source 10
SGF 2014 Driving CRM Success with SAS Marketing Automation Sven Putseys,
Zelia Pellissier		 source 4
SGF 2014 Five Ways to Flip-Flop Your Data Joshua M. Horstman source 9
SGF 2014 Hash It Out with a Web Service and Get the Data You Need John Vickery source 11
SGF 2014 Parallel Data Preparation with the DS2 Programming Language Jason Secosky,
Robert S. Ray,
Greg Otto		 source 11
SGF 2014 PDF vs HTML: Can't We All Just Get Along? Scott Huntley,
Cynthia L. Zender		 source 33
SGF 2014 Toe to Toe: Comparing ODS LAYOUT and the ODS Report Writing Interface Daniel Kummer source 27
WUSS 2013 Sharpening Your Skills in Reshaping Data: PROC TRANSPOSE vs. Array Processing Arthur X. Li source 15
WUSS 2013 Some Techniques for Integrating SAS Output with Microsoft Excel Using Base SAS Vincent DelGobbo source 19
WUSS 2013 Subsampling with a Survey Sampling Design? DOMAIN Idea is To Get an Appropriate Variance Estimate Anita Rocha source 6
WUSS 2013 The Essence of DATA Step Programming Arthur X. Li source 19
SCSUG 2013 Some Techniques for Integrating SAS Output with Microsoft Excel Using Base SAS Vincent DelGobbo source 19
SCSUG 2013 Zero My Hero! Anna Vincent source 12
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 Handling Data with Multiple Records per Subject: 4 Quick Methods to Pull Only the Records You Want Elizabeth Leslie,
Kaiser Permanente		 source 7
SESUG 2013 HOW to DOW Paul M. Dorfman source 12
SESUG 2013 Instant Disaggregation: Using the macro language to provide reports with parallel structure across different subsets of the data set Daniel Ralyea source 7
SESUG 2013 PEEKing at Roadway Segments Carol A. Martell source 12
SESUG 2013 The Power of Combining Data with the PROC SQL Stacey Slone source 6
SESUG 2013 Using Heatmaps and Trend Charts to Visualize Kidney Recipients' Post-Transplant Hospitalizations Sebastian D. Perez source 6
SESUG 2013 Using SAS to Examine Social Networking Difference between Faculty and Students Abbas S. Tavakoli,
Joan Culley,
Laura C. Hein,
Blake Frazier,
Amber Williams		 source 11
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 Anatomy of a Merge Gone Wrong James Lew,
Joshua M. Horstman		 5
MWSUG 2013 Increase Your Productivity by Doing Less Arthur S. Tabachneck,
Xia Ke Shan,
Robert Virgile,
Joe Whitehurst		 6
MWSUG 2013 Life Imitates Art: ODS Output Data Sets that Look like Listing Output Dylan Ellis 14
MWSUG 2013 The Essence of DATA Step Programming Arthur X. Li 19
NESUG 2013 Alternative Methods for Sorting Large Files without Leaving a Big Disk Space Footprint Rita Volya 23
NESUG 2013 Hidden in plain sight: my top ten underpublicized enhancements in SAS Versions 9.2 and 9.3 Bruce F. Gilsen 12
NESUG 2013 Leads and Lags in SAS Mark Keintz 11
NESUG 2013 Ouch, how did that get here? The pitfalls of merging ... [presentation] Nancy McGarry 10
NESUG 2013 PROC TRANSPOSE For Fun And Profit John J. Cohen 18
NESUG 2013 Some Techniques for Integrating SAS Output with Microsoft Excel Using Base SAS Vincent DelGobbo 19
PharmaSUG 2013 Anatomy of a Merge Gone Wrong James Lew,
Joshua M. Horstman		 source 5
PharmaSUG 2013 Atypical Applications of the UPDATE Statement John Henry King source 5
PharmaSUG 2013 Essentials of PDV: Directing the Aim to Understanding the DATA Step! Arthur X. Li source 12
PharmaSUG 2013 Sharpening Your Skills in Reshaping Data: PROC TRANSPOSE vs. Array Processing Arthur X. Li source 15
PharmaSUG 2013 Some Techniques for Integrating SAS Output with Microsoft Excel Using Base SAS Vincent DelGobbo source 19
PharmaSUG 2013 The Bylaws of By Group Processing Tracee Vinson-Sorrentino source 7
SGF 2013 A Better Way to Flip (Transpose) a SAS Data Set Arthur S. Tabachneck,
Joe Whitehurst,
Robert Virgile,
Xia Ke Shan		 source 21
SGF 2013 A Row Is a Row Is a Row, or Is It? A Hands-On Guide to Transposing Data Christianna S. Williams source 16
SGF 2013 Cascading Style Sheets: Breaking Out of the Box of ODS Styles Kevin D. Smith source 38
SGF 2013 Essentials of the Program Data Vector (PDV): Directing the Aim to Understanding the DATA Step Arthur X. Li source 12
SGF 2013 If You Have Programming Standards, Please Raise Your Hand: An Everyman's Guide Dianne Louise Rhodes source 8
SGF 2013 Increase Your Productivity by Doing Less Arthur S. Tabachneck,
Joe Whitehurst,
Robert Virgile,
Xia Ke Shan		 source 5
SGF 2013 Renovating Your SAS 9.3 ODS Output: Tools for Everything from Minor Remodeling to Extreme Makeovers Bari Lawhorn source 20
SGF 2013 SAS Essentials: Maximize the Efficiency of Your Most Basic Users Julie Kezik,
Melissa Hill		 source
pdf		 12
SGF 2013 Sharpening Your Skills in Reshaping Data: PROC TRANSPOSE vs. Array Processing Arthur X. Li source 15
SGF 2013 Some Techniques for Integrating SAS Output with Microsoft Excel Using Base SAS Vincent DelGobbo source 19
SGF 2013 Something for Nothing? Adding Group Descriptive Statistics Using PROC SQL Subqueries Sunil Kumar Gupta source 8
SGF 2013 Take Home the ODS Crown Jewels: Master the New Production Features of ODS LAYOUT and Report Writing Interface Techniques Daniel O'Connor source 20
NESUG 2012 Checking for Duplicates Wendi L. Wright 5
NESUG 2012 Interesting Technical Mini-Bytes of Base SAS - From DATA Step to Macros Airaha Chelvakkanthan Manickam 13
NESUG 2012 Long-to-Wide: PROC TRANSPOSE vs Arrays vs PROC SUMMARY Michael S. Zdeb 14
NESUG 2012 Mimicking the DATA Step Dash and Double Dash in PROC SQL Arlene Amodeo 24
NESUG 2012 PROC SQL for DATA Step Die-Hards Christianna S. Williams 20
SESUG 2012 A Standard SAS Program for Corroborating OpenCDISC Error Messages John R. Gerlach source 11
SESUG 2012 Compare MIXED and GLMMIX to Analyze Breast Cancer Longitudinal Study Abbas S. Tavakoli source 5
SESUG 2012 Multiple Imputation for Ordinal Variables: A Comparison of SUDAAN's PROC IMPUTE vs. PROC MI Multiple Imputation source 12
SESUG 2012 Queries, Joins, and WHERE Clauses, Oh My!! Demystifying PROC SQL Christianna S. Williams source 37
SESUG 2012 Through the DoW-Loop, One Statement at a Time Paul M. Dorfman source 12
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 Avoiding Pitfalls when Merging Data James Lew,
Joshua M. Horstman		 5
MWSUG 2012 Get SASsy with PROC SQL Amie Bissonett 12
MWSUG 2012 Making it Add Up; Diagnosing Merge Issues Using PROC SQL and Simple Arithmetic Eric Schreiber 6
WUSS 2012 Best Practices: Use Coding Shortcuts to Avoid Typsos and Add Flexibility Mary F. O. Rosenbloom,
Edwards Lifesciences,
Kirk Paul Lafler		 source 7
WUSS 2012 Building Calendars with Proc Report Frank Bereznay source 11
WUSS 2012 PROC PRINT - The Granddaddy of All Procedures, Enhanced and Still Going Strong David W. Franklin source 14
WUSS 2012 SAS Programming Basics: Producing Results from Your Data Helen D. Carey source 16
WUSS 2012 Simplifying Effective Data Transformation Via PROC TRANSPOSE Arthur X. Li source 12
PharmaSUG 2012 A Standard SAS Program for Corroborating OpenCDISC Error Messages John R. Gerlach,
Ganesh Sankaran Thangavel		 source 12
PharmaSUG 2012 Comparing Datasets: Using PROC COMPARE and Other Helpful Tools Deb Cassidy source 9
PharmaSUG 2012 Get SASsy with PROC SQL Amie Bissonett source 12
PharmaSUG 2012 Getting Your Data in Shape With PROC TRANSPOSE Nancy Brucken source 11
PharmaSUG 2012 Interesting Technical Mini-Bytes of Base SAS - From DATA Step to Macros Airaha Chelvakkanthan Manickam source 13
PharmaSUG 2012 Merge vs. Join vs. Hash Objects: A Comparison using "Big" Medical Device Data James R. Johnson source 6
PharmaSUG 2012 Simplifying Effective Data Transformation Via PROC TRANSPOSE Arthur X. Li source 13
PharmaSUG 2012 The Greatest Hits: ODS Essentials Every User Should Know Cynthia L. Zender source 34
PharmaSUG 2012 The Use and Abuse of the Program Data Vector James R. Johnson source 23
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 Standard SAS Program for Corroborating OpenCDISC Error Messages John R. Gerlach,
Ganesh Sankaran Thangavel		 source 12
SGF 2012 Deciphering PROC COMPARE Codes: The Use of the bAND Function Joseph W. Hinson,
Margaret M. Coughlin		 source 9
SGF 2012 HOW to DOW Paul M. Dorfman,
Lessia S. Shajenko		 source 12
SGF 2012 Interesting Technical Mini-Bytes of Base SASFrom DATA Steps to Macros Airaha Chelvakkanthan Manickam source 13
SGF 2012 ODS Document from Scratch Kevin D. Smith source 28
SGF 2012 Queries, Joins, and WHERE Clauses, Oh My!! Demystifying PROC SQL Christianna S. Williams source 37
SGF 2012 Simplifying Effective Data Transformation Via PROC TRANSPOSE Arthur X. Li source 13
SGF 2012 The DOW Loop: A Smarter Approach to Your Existing Code Fuad J. Foty source 12
SGF 2012 The Use and Abuse of the Program Data Vector James R. Johnson source 23
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 Intro to Longitudinal Data: A Grad Student "How-To" Paper Elisa L. Priest source 14
SCSUG 2011 Looking Beneath the Surface of Sorting Andrew T. Kuligowski source 10
SCSUG 2011 PROC SURVEYFREQ: Why Do a Three Way Table in SAS When We Want Two Way Table Information? Hemalkumar Mehta source 14
SCSUG 2011 The Greatest Hits: ODS Essentials Every User Should Know Cynthia L. Zender source 34
SCSUG 2011 The Top 10 Head Scratchers: SAS Log Messages That Prompt a Call to SAS Technical Support Kim M. Wilson source 9
SESUG 2011 3DSHU+: C reating Stylish Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo source 22
SESUG 2011 In Lockstep with the DoW-Loop Paul M. Dorfman,
Lessia S. Shajenko		 source 18
SESUG 2011 Smoothing Scaled Score Distributions from a Standardized Test using PROC GENMOD Jonathan Steinberg,
Tim Moses		 source 7
WUSS 2011 Are You Taking it Day by Day or Having an Episode? Identifying and Describing Patterns in Longitudinal Data Sarah Short source 7
WUSS 2011 Boost your confidence in a 2x2 standard table Iuliana Barbalau source 8
WUSS 2011 Combining PROC SQL Summary Functions with Logical Expressions Glenn Wright source 5
WUSS 2011 Creating Stylish Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo source 22
PHUSE EU 2011 Go Compare: Flagging up some underused options in PROC COMPARE Michael Auld source
presentation source		 13
PHUSE EU 2011 SAS Goes Spreadsheet Raimund Strob source
presentation source		 14
MWSUG 2011 A Macro to Estimate Sample-size Using the Non-Centrality Parameter of a Non-Central F-Distribution Matthew C. Fenchel,
Raouf S. Amin,
Rhonda D. VanDyke		 20
MWSUG 2011 Creating Stylish Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo 22
MWSUG 2011 Dealing with Duplicates in Your Data Joshua M. Horstman,
Roger D. Muller		 7
NESUG 2011 Automating Concatenation of PDF/RTF Reports Using ODS DOCUMENT Shirish Nalavade,
Shubha Manjunath		 9
NESUG 2011 Creating Stylish Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo 22
NESUG 2011 Get Started Writing SAS Macros Luisa M. Hartman,
Jane X. Liao		 12
NESUG 2011 Hash + Point = Key Paul M. Dorfman,
Lessia S. Shajenko		 13
NESUG 2011 No More Split Ends. Outputting Multiple CSV Files and Keeping Related Records Together Gayle K. Springer 7
NESUG 2011 PROC PRINT - The Granddaddy of All Procedures, Enhanced and Still Going Strong David W. Franklin 12
NESUG 2011 PROC SQL for DATA Step Die-Hards Christianna S. Williams 22
NESUG 2011 Programming Techniques for Optimizing SAS Throughput Steven M. Ruegsegger 11
NESUG 2011 SAS DATA Step Merge - A Powerful Tool Dalia C. Kahane 13
NESUG 2011 The Greatest Hits: ODS Essentials Every User Should Know Cynthia L. Zender 34
NESUG 2011 The Top 10 Head Scratchers: SAS Log Messages That Prompt a Call to SAS Technical Support Kim M. Wilson 9
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 Creating Stylish Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo source 22
PharmaSUG 2011 Get Dynamic Multi-sheet Excel Workbook with STYLE using ODS Niraj J. Pandya source 11
PharmaSUG 2011 Implementation of Pattern-Mixture Models Using Standard SAS/STAT Procedures Bohdana Ratitch,
Michael O'Kelly		 source 10
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 Creating a Table of Contents for Microsoft Word Using AutoFormat and Cascading Style Sheets Fareeza Khurshed source 7
SGF 2011 Creating Stylish Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo source
zip		 22
SGF 2011 Don't Waste Too Many Resources to Get Your Data in a Specific Sequence Henri Theuwissen source 19
SGF 2011 Longitudinal Data Techniques: Looking Across Observations Ronald P. Cody source 7
SGF 2011 Making Use of Incomplete Observations in the Analysis of Structural Equation Models: The CALIS Procedures Full Information Maximum Likelihood Method in SAS/STAT 9.3 Yiu-Fai Yung,
Wei Zhang		 source 20
SGF 2011 ODS RTF: The Basics and Beyond Lauren E. Haworth source 19
SGF 2011 PROC PRINT and ODS: Teaching an Old PROC New Tricks Darylene Hecht source 22
SGF 2011 Teradata for the SAS Programmer: Ordered Analytical Functions, Hash Objects, ANSI SQL: 2003 Richard Andrews,
Jignesh Miyani		 source 11
SGF 2011 The Essence of DATA Step Programming Arthur X. Li source 19
SGF 2011 The Greatest Hits: ODS Essentials Every User Should Know Cynthia L. Zender source
zip		 34
SGF 2011 The Top 10 Head Scratchers: SAS Log Messages That Prompt a Call to SAS Technical Support Kim M. Wilson source 9
NESUG 2010 Get Multi-sheet Excel Workbook with STYLE using ODS Niraj J. Pandya 11
NESUG 2010 HOW to DOW Paul M. Dorfman 18
NESUG 2010 How to Think Through the SAS DATA Step H. Ian Whitlock 17
NESUG 2010 Table Lookup in SAS Weili Yang,
Fang K. Chen,
Liping Zhang,
Wenyu Hu		 7
NESUG 2010 Traffic Lighting Your Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo 28
SCSUG 2010 A SAS Primer for Health Care Data Analysts Christopher W. Schacherer source 24
SCSUG 2010 Take Control: Understanding and Controlling Your Do-Loops Sarah Woodruff,
Toby Dunn		 source 21
WUSS 2010 Creating Variables: Traps and Pitfalls Olena Galligan source 10
WUSS 2010 Data Visualization: "Every Picture Tells a Story" or "Putting Atomic Numbers on Your Socks"? AnnMaria De Mars source 11
WUSS 2010 Longitudinal Data Techniques: Looking Across Observations Ronald P. Cody source 7
WUSS 2010 ODS RTF: The Basics and Beyond Lauren E. Haworth source 17
WUSS 2010 The Building Blocks of SAS Datasets - S-M-U (Set, Merge, and Update) Andrew T. Kuligowski source 13
WUSS 2010 Tips for Constructing a Data Warehouse Part 2 Curtis A. Smith source 11
WUSS 2010 Traffic Lighting Your Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo source 28
PHUSE EU 2010 SAS Graph to help data Dose/Concentration consistency review Patrick Lupien source
presentation source		 4
MWSUG 2010 A SAS Primer for Health Care Data Analysts Christopher W. Schacherer,
Brent D. Westra		 24
MWSUG 2010 Stuff We All Do: Mistakes We've Made That You Won't Have To Joe Novotny,
Michael P.D. Bramley		 13
MWSUG 2010 The Mystery of the PROC SORT Options NODUPRECS and NODUPKEY Revealed Britta KelseyBassett 4
MWSUG 2010 Turning Raw Data into Polished Reports Lora D. Delwiche,
Susan J. Slaughter		 18
SESUG 2010 Automation of Data Updates: A Case Study Carry W. Croghan source 4
SESUG 2010 QC Your SAS and RDBMS Data Using Dictionary Tables Harry Droogendyk source 20
SESUG 2010 Take Control: Understanding and Controlling Your Do-Loops Sarah Woodruff source 21
SESUG 2010 The DOW-Loop Unrolled Paul M. Dorfman source 15
SESUG 2010 Traffic Lighting Your Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo source 28
PharmaSUG 2010 %TABLEMAKER: Data Reporting Made Easy Bernadette H. Johnson 6
PharmaSUG 2010 Get your multi-sheet excel workbook with STYLE using ODS Niraj J. Pandya 11
PharmaSUG 2010 Looking for a Function Called LEAD? Couldn't Find? Here You Go - Multiple Ways to Simulate It Niraj J. Pandya 5
PharmaSUG 2010 Macros Are Helpful - Tips to Avoid Giving Them a Bad Rep Deb Cassidy 7
PharmaSUG 2010 The Ins and Outs and Ups and Downs of Sorted Data Andrew T. Kuligowski 9
PharmaSUG 2010 Traffic Lighting Your Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo 28
SGF 2010 Complex Data Combinations on Large Volumes: How to Get the Best Performance Henri Theuwissen source 22
SGF 2010 Customize Your SAS Enterprise Guide Graphs for a More Professional Look Martha S. Hays source 12
SGF 2010 Dear Miss SASAnswers: A Guide to Sorting Your Data Linda T. Jolley,
Jane Stroupe		 source 19
SGF 2010 Kick Start with ODS Erik W. Tilanus,
Ellen Lokollo		 source 10
SGF 2010 SAS Presents In-Database Base Procedures in Practice Scott Mebust,
Robert S. Ray		 source 25
SGF 2010 The Power of the Group Processing Facility in SAS Enterprise Miner Sascha Schubert source 13
SGF 2010 Traffic Lighting Your Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo source
zip		 28
SGF 2010 Transposing Data Using the IDGROUP Option in PROC SUMMARY John Henry King,
Michael S. Zdeb		 source 6
SCSUG 2009 Before PROC REPORT, There was PROC PRINT Clarence W. Jackson 6
SCSUG 2009 Working with Longitudinal Data Ronald P. Cody 4
SESUG 2009 Looking Beneath the Surface of Sorting Looking Beneath source 10
SESUG 2009 More Tips and Tricks for Creating Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo source 20
SESUG 2009 Resetting Variables to Zero Edward Heaton source 7
SESUG 2009 Streamlining Data Analysis Edzard van Santen source 4
SESUG 2009 Using the Excel XP tagset and DDE to create At-A-Glance Summary Spreadsheets-Compiled, Written, and Formatted with one SAS click! Christine R. Kraft source 16
PHUSE EU 2009 Works as Designed (?) Heinrich von Lips source 7
MWSUG 2009 Handy Procedures to Expand Your Analytics Skill Set Mary F. MacDougall 9
MWSUG 2009 More Tips and Tricks for Creating Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo 20
MWSUG 2009 Table Lookups: From IF-THEN to Key-Indexing Arthur L. Carpenter 10
PNWSUG 2009 Connect with SAS Professionals Around the World with LinkedIn and sasCommunity.org Kirk Paul Lafler,
Charles E. Shipp		 11
PNWSUG 2009 More Tips and Tricks for Creating Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo 20
PNWSUG 2009 The 7 Habits of Highly Effective SAS-ers David L. Cassell 17
NESUG 2009 A Row is a Row is a Row, or is it? Get Comfortable with Transposing your Data Christianna S. Williams 12
NESUG 2009 Add Spices to Your Graphs Using the Annotate Facility Qingfeng Liang 16
NESUG 2009 Analyzing MCBS Data with PROC SURVEYFREQ: The Maybe Cheesy but Simple Approach Christine E. Leonard 19
NESUG 2009 Don't Despair, You Do Have An Option! Wei (Lisa) Lin,
Jiannan Kang		 13
NESUG 2009 More Tips and Tricks for Creating Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo 20
NESUG 2009 Please don't Merge without By !! Monal Kohli 11
NESUG 2009 PROC SQL for DATA Step Die-Hards Christianna S. Williams 19
NESUG 2009 Techniques to Perform the Lead Function Through Data Manipulation Kruti Pandya,
Niraj J. Pandya		 6
NESUG 2009 The Building Blocks of SAS Datasets - S-M-U (Set, Merge, and Update) Andrew T. Kuligowski 13
NESUG 2009 The DOW-Loop Unrolled Paul M. Dorfman,
Marina Fridman		 18
NESUG 2009 Using DATA STEP MERGE and PROC SQL JOIN to Combine SAS Datasets Dalia C. Kahane 15
WUSS 2009 Connect with SAS Professionals Around the World with LinkedIn and sasCommunity.org Kirk Paul Lafler,
Charles E. Shipp		 source 11
WUSS 2009 Discriminant Analysis, a Powerful Classification Technique in Predictive Modeling George C. J. Fernandez source 20
WUSS 2009 Efficient Statistical Programming? - These Small Steps Make the Difference Keiko I. Powers source 16
WUSS 2009 Have It Your Way: Rearrange and Replay Your Output with ODS DOCUMENT Cynthia L. Zender source 22
WUSS 2009 If I Only Had a Map. Getting from Here to There: Common Approaches to Solving Data Step Logic Issues Kim M. Wilson source 17
WUSS 2009 Introduction to the Graph Template Language Sanjay N. Matange source 18
WUSS 2009 More Tips and Tricks for Creating Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo source 20
WUSS 2009 Playing Favorites: How to Manage Date Conflicts When Some Date Ranges are Preferred Over Others Eric C. Wong source 11
WUSS 2009 SAS and SQL "Join" Forces to Perform a Many-to-Many Merge Eric P. Elkin,
Ginny Lai		 source 6
WUSS 2009 The Fundamentals of Data Step Programming I: The Essence of Data Step Programming and By-Group Processing Arthur X. Li source 20
WUSS 2009 The Power to Show: Ad Hoc Reporting, Custom Invoices, and Form Letters Daniel O'Connor source 58
PharmaSUG 2009 More Tips and Tricks for Creating Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo 20
PharmaSUG 2009 Playing Favorites: How to Manage Date Conflicts When Some Date Ranges are Preferred Over Others Eric C. Wong 11
PharmaSUG 2009 Presenting Descriptive Statistics by the Rapid Processing of Data Sets from Proc Means Rod Norman 4
PharmaSUG 2009 Sweet Smell of SucSAS - When Your DATA Step Does What is Intended!! Arthur X. Li 19
PharmaSUG 2009 Transposing Data Using PROC SUMMARY'S IDGROUP Option John Henry King,
Mount Ida		 6
SGF 2009 A Row is a Row is a Row, or is it? Get Comfortable with Transposing your Data Christianna S. Williams source 12
SGF 2009 A SAS Programmer's Guide to Generating Define.xml Michael J. Molter source 24
SGF 2009 Bayesian Modeling Using the MCMC Procedure Fang K. Chen source 22
SGF 2009 Fifty Ways to Lose Your Data (And How to Avoid Them) Linda T. Jolley,
Jane Stroupe		 source 21
SGF 2009 If I Only Had a Map. Getting from Here to There: Common Approaches to Solving Data Step Logic Issues Kim M. Wilson source 17
SGF 2009 More Tips and Tricks for Creating Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo source
zip		 20
SGF 2009 ODS 101+ Erik W. Tilanus source 20
SGF 2009 SAS and Microsoft Excel: Two Extreme Worlds. Learn How SAS Works with Excel Data and How Excel Exploits the Power of SAS Henri Theuwissen source 20
SGF 2009 Tales from the Help Desk 3: More Solutions for Common SAS Mistakes Bruce F. Gilsen source 10
SGF 2009 The DOW-Loop Unrolled Paul M. Dorfman,
Koen Vyverman		 source 18
SGF 2009 The Ins and Outs and Ups and Downs of Sorted Data Andrew T. Kuligowski source 10
SGF 2009 You Might Be a SAS Energy Hog If ... Michael A. Raithel,
Michael D. Rhoads		 source 15
SGF 2009 You Need to Consolidate Massive Amounts of Data? Select the Fastest Method or Go for Minimal Memory Requirements to Build Your Result Henri Theuwissen source 14
WUSS 2008 A Hands-On Introduction to SAS Programming Casey Cantrell source 21
WUSS 2008 Surviving Left Truncation Using PROC PHREG Aimee Foreman,
Ginny Lai,
Dave P. Miller		 source 8
WUSS 2008 The Essence of DATA Step Programming Arthur X. Li source 19
WUSS 2008 The Essentials of Finding the Distinct, Unique, and Duplicate Values in Your Data Carter Sevick source 8
WUSS 2008 The Power of the BY Statement Toby Dunn,
Paul A. Choate		 source 16
WUSS 2008 Tips and Tricks for Creating Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo 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 NOTEs in a SASLOG : Of LOST CARDs and MERGE Statements with Repeats of By Values Andrew T. Kuligowski source 14
SESUG 2008 SAS Log Summarizer - Finding What's Most Important in the SAS Log Milorad Stojanovic source 6
SESUG 2008 SET, MERGE and beyond. Erik W. Tilanus source 15
SESUG 2008 The Art of Debugging H. Ian Whitlock source 20
SESUG 2008 The DOW-Loop Unrolled Paul M. Dorfman,
Lessia S. Shajenko		 source 19
SESUG 2008 Tips and Tricks for Creating Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo source 19
SESUG 2008 Using Lookup Tables to Match Data Wenyu Hu,
Fang K. Chen,
Liping Zhang		 source 7
PHUSE EU 2008 Automated table generation: The macro SAS %GEEWHIZ Guido Wendland source 12
PHUSE EU 2008 SHARE - A Reporting System for Efficacy Outputs using SAS Macro Vinod Kaippillil Mukundaprasad source 9
MWSUG 2008 Tips and Tricks for Creating Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo 19
PNWSUG 2008 Effective Graphics Made Simple Using SAS/GRAPH SG Procedures Dan Heath 18
PNWSUG 2008 Green Graphics: Multiple Figures on a Page Paul D. Hamilton 5
PNWSUG 2008 MODIFY The Most Under-Appreciated of the Data Step File Handling Statements Curtis E. Mack 12
PNWSUG 2008 Tips and Tricks for Creating Mult-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo 19
NESUG 2008 A PROC SQL Primer Matthew Taylor 11
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 Introduction to the SAS Survey Analysis PROCs Xiuhua Chen,
Paul Gorrell		 17
NESUG 2008 Box Plots in SAS: UNIVARIATE, BOXPLOT, or GPLOT? Robert Adams 11
NESUG 2008 Guido's Guide to PROC MEANS - A Tutorial for Beginners Using the SAS System Joseph J. Guido 11
NESUG 2008 The DOW-Loop Unrolled Paul M. Dorfman 18
NESUG 2008 Tips and Tricks for Creating Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo 19
NESUG 2008 Using DATA STEP MERGE and PROC SQL JOIN to Combine SAS Datasets Dalia C. Kahane 15
PharmaSUG 2008 An Alternative Method of Transposing Multiple Variable for Report Generation Li Luo 7
PharmaSUG 2008 Effective Graphics Made Simple Using SAS/GRAPH SG Procedures Dan Heath 18
PharmaSUG 2008 Issues Associated with BY Statement in PROC TRANSPOSE Louie Huang 8
PharmaSUG 2008 SHARE - A Reporting System for Efficacy Outputs using SAS Macro Axel Muehlig 12
PharmaSUG 2008 The DOW-Loop Unrolled Paul M. Dorfman,
Lessia S. Shajenko		 18
PharmaSUG 2008 Tips and Tricks for Creating Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo 19
SGF 2008 Effective Graphics Made Simple Using SAS/GRAPH SG Procedures Dan Heath source 18
SGF 2008 How to Get Phase Portraits Animated with SAS Kristan A. Schneider,
Barbara Schneider		 source 9
SGF 2008 PROC SQL for DATA Step Die-Hards Christianna S. Williams source 17
SGF 2008 SAS Web Report Studio Tips and Techniques Keith Myers,
Madelyn Bythell		 source 13
SGF 2008 SET, MERGE and beyond. Erik W. Tilanus source 15
SGF 2008 The Art of Debugging H. Ian Whitlock source 20
SGF 2008 Tips and Tricks for Creating Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo source 19
NESUG 2007 Creating Multi-Sheet Excel Workbooks the Easy Way with SAS - Part 1 Vincent DelGobbo 20
NESUG 2007 Differences in ODS formatting for HTML with PROC PRINT and PROC REPORT Laura Thornton 5
NESUG 2007 Exporting Access Databases with Indexes and Keys Roger S. Cohen 5
NESUG 2007 Performing Iterative Processes with the Macro Facility Katie Joseph,
Taylor Lewis		 5
NESUG 2007 PROC SQL - A Powerful Tool in SAS Swetha Kongara,
Raja Panchumarthi		 9
NESUG 2007 SAS Indexes: Faster Processing of Large Categorical Databases Like BRFSS Prashant Mittal 8
NESUG 2007 Summing with SAS Tatiana Homonoff 12
NESUG 2007 Swap the DATA Step for PROC TRANSPOSE Katie Joseph 5
NESUG 2007 The Most Important Efficiency Techniques Robert Virgile 11
NESUG 2007 The Program Data Vector As an Aid to DATA step Reasoning Marianne L. Whitlock 13
SESUG 2007 Creating Data-Driven Data Set Names in a Single Pass Using Hash Objects Jack Hamilton source 10
SESUG 2007 PROC TIMEPLOT - An Old Way to Plot New Data James W. Terry source 6
SESUG 2007 The DOW-Loop Unrolled Paul M. Dorfman,
Lessia S. Shajenko		 source 18
WUSS 2007 Analyzing Multiple Records Per Subject with BY-Group Processing and RETAIN. Easier than You Think . . . Carter Sevick source 8
WUSS 2007 How to Avoid Commonly-Seen "Correct but Problematic SAS Programming Pitfalls Keiko I. Powers source 7
WUSS 2007 New SAS/GRAPH Procedures for Creating Statistical Graphics Cleester D. Heath source 16
WUSS 2007 The Power of the BY Statement Toby Dunn,
Paul A. Choate		 source 16
WUSS 2007 The SORT Procedure: Beyond the Basics David Fickbohm source 7
WUSS 2007 The TRANSPOSE Procedure or How to Turn your Data Around David Fickbohm source 10
WUSS 2007 Time to Take the Wheel: A Hands-On Introduction to SAS Programming Casey Cantrell source 20
WUSS 2007 Writing a "lean and mean" PROC MEANS: CLASS vs. BY and OUTPUT vs. ODS OUTPUT Eric P. Elkin source 3
SCSUG 2007 The Power of the BY Statement Toby Dunn,
Paul A. Choate		 11
PharmaSUG 2007 Creating AND Importing Multi-Sheet Excel Workbooks the Easy Way with SAS Vincent DelGobbo 20
PharmaSUG 2007 The TRANPOSE Procedure or How to Turn It Around Janet E. Stuelpner 9
SGF 2007 An Animated Guide: PROC TRANSPOSE Russell M. Lavery source 22
SGF 2007 DATA Step vs. PROC SQL: What's a Neophyte to Do? Ray Davis,
Michael L. Dickstein,
Craig Pass		 source 12
SGF 2007 Dear Miss SASAnswers: A Guide to SAS Efficiency Linda T. Jolley,
Jane Stroupe		 source 8
SGF 2007 Getting the Most from PROC MEANS Andrew H. Karp source 9
SGF 2007 How to Think Through the SAS DATA Step H. Ian Whitlock source 19
SGF 2007 Learning What You Didn't Know about Your Data Larry W. Douglass source 16
SGF 2007 New SAS/GRAPH Procedures for Creating Statistical Graphics in Data Analysis Dan Heath source 16
SGF 2007 PROC SQL - The Dark Side of SAS? Kirsty R. Lauderdale source 5
SGF 2007 The Most Important Efficiency Techniques Robert Virgile source 11
SGF 2007 The Power of the BY Statement Paul A. Dunn,
Toby Choate		 source 16
SGF 2007 Turning the Data Around: PROC TRANSPOSE and Alternative Approaches Erik W. Tilanus source 9
SGF 2007 Using SAS to Process Repeated Measures Data - A Hands-On Approach Terry Gareleck,
Cyndie B. Fain		 source 12
PNWSUG 2006 MODIFY The Most Under-Appreciated of the Data Step File Handling Statements Curtis E. Mack 12
MWSUG 2006 Data Transposition with Proc Report Lingqun Liu 12
PHUSE EU 2006 Duplicates or "Can you repeat that?" Lawrence Heaton-Wright source 5
PHUSE EU 2006 Sorting by formatted values Jim Groeneveld source 4
PHUSE EU 2006 Watch out, a MERGE ahead! Benjamin Szilagyi,
Christof Binder		 source 5
SESUG 2006 Creating AND Importing Multi-Sheet Excel Workbooks the Easy Way with SAS Vincent DelGobbo source 20
SESUG 2006 How to Think Through the SAS DATA Step H. Ian Whitlock source 20
SESUG 2006 PROC SQL for DATA Step Die-Hards Christianna S. Williams source 17
SESUG 2006 SAS to Publishable Excel... Seamlessly - Using ODS, XML, and Other Tricks Harry Droogendyk,
Marje Fecht		 source 21
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 Steps to Success with PROC MEANS Andrew H. Karp source 12
WUSS 2006 Time to Take the Wheel: A Hands-On Introduction to SAS Programming Casey Cantrell source 20
WUSS 2006 Tips & Techniques with PROC MEANS Andrew H. Karp source 8
NESUG 2006 An Annotated Guide: The New 9.1, Free & Fast SPDE Data Engine Russell M. Lavery 7
NESUG 2006 An Introduction to Reshaping (TRANSPOSE) and Combining (MATCH-MERGE) SAS Data Sets Michael S. Zdeb 15
NESUG 2006 By's Notsorted Option Karuna Samudral,
Gregory Giddings		 11
NESUG 2006 Custom Reports with Proc SQL: A Real-Life Example Electra Small 11
NESUG 2006 How to Think Through the SAS DATA Step H. Ian Whitlock 20
NESUG 2006 Proc SQL versus The DATA Step JoAnn R. Matthews 35
NESUG 2006 Tales from the Help Desk 3: More Solutions for Simple SAS Mistakes Bruce F. Gilsen 10
NESUG 2006 Where Did Those Duplicates Come From? Kenneth Gold,
Roger S. Cohen		 4
PharmaSUG 2006 Creating a Tagset Template for the SAS XML Libname Engine Cynthia L. Zender 17
PharmaSUG 2006 Hidden Data Loss in Manipulation of Data Tim Tian 5
SUGI 2006 %hlmdata and %hlmrmpower: Traditional Repeated Measures vs. HLM for Multilevel Longitudinal Data Analysis?Power and Type I Error Rate Comparison Hua Fang source 11
SUGI 2006 Finding a Duplicate in a Haystack Brett J. Peterson source 10
SUGI 2006 FREQ n' MEANS Marge Scerbo,
Michael S. Lajiness		 source 19
SUGI 2006 How to Think Through the SAS DATA Step H. Ian Whitlock source 20
SUGI 2006 Identifying an Event within a Sequence of Events Marge Scerbo source 6
SUGI 2006 Improve Database Transaction Processing Using MODIFY, the Most Under-Appreciated DATA Step File-Handling Statement Curtis E. Mack source 12
SUGI 2006 Project Duplication: Eradication Techniques Monal Kohli source 9
SUGI 2006 SAS Graphics in Motion Barbara G. Schneider,
Kristan A. Schneider		 source 7
SUGI 2006 SAS to Publishable Excel... Seamlessly - Using ODS, XML, and Other Tricks Marje Fecht,
Harry Droogendyk		 source 20
SUGI 2006 The TRANSPOSE Procedure or How to Turn It Around Janet E. Stuelpner source 9
SUGI 2006 Using SAS to Process Repeated Measures Data Terry Fain,
Cyndie B. Gareleck		 source 11
PNWSUG 2005 MODIFY The Most Under-Appreciated of the Data Step File Handling Statements Curtis E. Mack 12
PNWSUG 2005 Table Lookups: From IF-THEN to Key-Indexing Arthur L. Carpenter 10
SESUG 2005 A Tour of the SAS Reporting Toolbox Frank C. DiIorio source 20
SESUG 2005 How SAS Thinks Neil H. Howard source 19
SESUG 2005 Proc Transpose or How to Turn It Around Janet E. Stuelpner source 7
SESUG 2005 The Program Data Vector As an Aid to DATA step Reasoning Marianne L. Whitlock source 14
SESUG 2005 Using SAS to Process Repeated Measures Data Terry Fain source 10
WUSS 2005 Get It Together: Combining Data with SAS MERGE, UPDATE, and SET Mel Widawski source 12
WUSS 2005 SAS Essentials Neil H. Howard source 19
WUSS 2005 Tips & Techniques with PROC MEANS Andrew H. Karp source 8
NESUG 2005 A SAS Programmer's Guide to Project - and Program-Level Quality Control Paul Gorrell 15
NESUG 2005 An Animated Guide: PROC TRANSPOSE Russell M. Lavery 9
NESUG 2005 Database ACCESS Basics: SQL and Data Step Interface to Relational Databases Ashley Sanders 8
NESUG 2005 Freq n' Means Marge Scerbo,
Michael S. Lajiness		 19
NESUG 2005 How SAS Thinks Neil H. Howard 19
NESUG 2005 PROC SQL for DATA Step Die-Hards Christianna S. Williams 20
NESUG 2005 PROC SURVEYMEANS Roger L. Goodwin 8
PharmaSUG 2005 How SAS Thinks Neil H. Howard 20
PharmaSUG 2005 Preventing Data Loss when Combining SAS Datasets John Cantrell 9
PharmaSUG 2005 Programming Tips and Examples for Your Toolkit, II John Morrill 12
PharmaSUG 2005 Retaining, Lagging, Leading, and Interleaving Data Toby Dunn,
Chang Y. Chung		 8
PharmaSUG 2005 What Would I Do without PROC SQL and the Macro Language? Jeffrey M. Abolafia 5
SUGI 2005 Customer Segmentation by Using CALL SYMPUT, Arrays, and DO Loops Rodger Zhang source 7
SUGI 2005 Let Your Data Power Your DATA Step: Making Effective Use of the SET, MERGE, UPDATE, and MODIFY Statements Howard L. Schreier source 19
SUGI 2005 PROC FREQ and PROC MEANS: To Stat or Not to Stat Marge Scerbo,
Michael S. Lajiness		 source 17
SUGI 2005 SAS Graphics in Motion Barbara G. Schneider,
Kristan A. Schneider		 source 7
SUGI 2005 Store Your Output and Digest It Later Frank Poppe source 8
SUGI 2005 The Basics of Using SAS Indexes Michael A. Raithel source 9
SUGI 2005 Turning Raw Data into Polished Reports Susan J. Slaughter,
Lora D. Delwiche		 source 18
SUGI 2005 Using SAS to Process Repeated Measures Data Terry Fain,
Cyndie B. Gareleck		 source 10
SUGI 2005 What Would I Do without PROC SQL and the Macro Language? Jeffrey M. Abolafia source 5
NESUG 2004 How SAS Thinks or Why the DATA Step Does What It Does Neil H. Howard 19
NESUG 2004 Merge/Purge of Very Large Datasets Using SAS/DQ-Cleanse: Algorithm for Multiple Match Group Criteria Michael Krumenaker,
Xioyan Yang,
George Bukhbinder		 10
NESUG 2004 SAS and Grid Computing - Maximize Efficiency, Lower Total Cost of Ownership Cheryl Doninger 6
SCSUG 2004 Retaining, Lagging, Leading, and Interleaving Data Toby Dunn 14
SESUG 2004 1 Matching SAS Data Sets: If at First You Don't Succeed, Match, Match Again Imelda C. Go source 10
SESUG 2004 Creating and Exploiting SAS Indexes Michael A. Raithel source 9
SESUG 2004 How to Incorporate Old SAS Data into a New DATA Step, or "What is S-M-U?" Andrew T. Kuligowski source 13
SESUG 2004 Merging: Avoid the Cones Jessica Bonow,
Little Rock		 source 5
SESUG 2004 SAS System Options Are Your Friends Edward Heaton source 15
SESUG 2004 Why the DATA Step Does What It Does Neil H. Howard source 19
WUSS 2004 Getting the Most from PROC MEANS Andrew H. Karp source 8
WUSS 2004 How to Add to Existing Data or, Why Did You Do it That Way? Kathryn A. Valdes source 14
WUSS 2004 It's a P-value, All Right - but is it the Right One? Linda Collins source 6
WUSS 2004 Quick Results with the Output Delivery System Sunil Kumar Gupta source 14
WUSS 2004 SAS and Grid Computing - Maximize Efficiency, Lower Total Cost of Ownership Cheryl Doninger source 6
WUSS 2004 Table Lookups: From IF-THEN to Key-Indexing Arthur L. Carpenter source 10
WUSS 2004 Turning Raw Data into Polished Reports Lora D. Delwiche,
Susan J. Slaughter		 source 18
PNWSUG 2004 Complex Sampling Meets the Blazing Turkey of Glory David L. Cassell 8
PNWSUG 2004 SAS Programming for Job Security: Tips and Techniques Revisited Arthur L. Carpenter 10
PharmaSUG 2004 Transposition of Variables with Different Formats Peter Lin 5
SUGI 2004 Advanced Programming Techniques for Working with Color in SAS Software Perry Watts source 19
SUGI 2004 Architecting AppDev Studio Based Web Applications with Object Oriented Methodologies Aimee Basile,
Dave Hayden		 source 8
SUGI 2004 Ask This Old Newsgroup: Using SAS-L Effectively Howard L. Schreier source 11
SUGI 2004 Creating and Exploiting SAS Indexes Michael A. Raithel source 10
SUGI 2004 DATA Step vs. PROC SQL: What's a Neophyte to Do? Craig Dickstein,
Ray Pass		 source 13
SUGI 2004 DATA: "Getting to Know You; Getting to Know All About You" Larry W. Douglass,
Sue E. Douglass		 source 17
SUGI 2004 Debugging 101 Peter Knapp source 15
SUGI 2004 How to Incorporate Old SAS Data into a New DATA Step, or "What is S-M-U?" Andrew T. Kuligowski source 14
SUGI 2004 SAS and Grid Computing - Maximize Efficiency, Lower Total Cost of Ownership Cheryl Doninger source 7
SUGI 2004 SAS Data Quality - Cleanse: Techniques for Merge/Purge on Very Large Datasets Michael Krumenaker,
George Bukhbinder,
Xiaoyan Yang		 source 9
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 Widefiles, Deepfiles, and the Fine Art of Macro Avoidance Howard L. Kaplan source 11
WUSS 2003 Architecting AppDev Studio Based Web Applications with Object Oriented Methodologies Aimee Basile,
Dave Hayden		 source 6
WUSS 2003 Merging Large Internet And Paper Survey Datasets For A 22-Year Longitudinal Cohort Study Thomas E Corbeil,
Tyler C. Smith,
Besa Smith,
Margaret A. K. Ryan		 source 5
WUSS 2003 Table Lookups: From IF-THEN to Key-Indexing Arthur L. Carpenter source 7
WUSS 2003 Using SAS for Classical Item Analysis and Option Analysis Chong Ho Yu,
Josephine Wai-chi Wong		 source 6
WUSS 2003 Whittle While You Work-Looking Less Dopey Using SAS Efficiencies (And Make Your Clients Go From Grumpy To Happy) Nikki Carroll,
Frank A. Ferriola		 source 5
SCSUG 2003 Merge Processing and Alternative Table Lookup Techniques Destiny Corporation (a company) 7
SESUG 2003 Merge Processing and Alternate Table Lookup Techniques Destiny Corporation (a company) 7
SESUG 2003 What is Missing in SAS? Imelda C. Go source 5
NESUG 2003 Advanced Programming Techniques for Working with Color in SAS Software Perry Watts 18
NESUG 2003 Ask and Ye Shall Receive: Getting the Most from SAS-L Howard L. Schreier 6
NESUG 2003 Debugging 101 Peter Knapp 14
NESUG 2003 Interleaving a Dataset with Itself: How and Why Howard L. Schreier 6
NESUG 2003 PROC MI as the Basis for a Macro for the Study of Patterns of Missing Data Carl E. Pierchala 8
NESUG 2003 Routine Web Reporting With Simple SAS ODS Ashley Sanders 6
NESUG 2003 SQL Basics Using Proc SQL Christopher Zogby 4
NESUG 2003 Starts and Stops: Processing Episode Data With Beginning and Ending Dates Michael D. Rhoads 13
NESUG 2003 Using ODS to Create Web-Based Neighborhood Profiles for the District of Columbia Peter Tatian 7
VIEWS 2003 A Proc Print to Be Proud Of Lynn Pope presentation 6
PharmaSUG 2003 Danger: MERGE Ahead! Warning: BY Variable with Multiple Lengths! Bob Virgile 6
PharmaSUG 2003 SQL for People Who Don't Think They Need SQL Erin M. Christen 8
SUGI 2003 Ask and Ye Shall Receive: Getting the Most from SAS-L Howard L. Schreier source 6
SUGI 2003 Complex Sampling Designs Meet the Flaming Turkey of Glory David L. Cassell,
AnnMaria Rousey		 source 8
SUGI 2003 Identifying Continuity in Longitudinal Data Merle E. Hamburger,
Thomas Sukalac		 source 2
SUGI 2003 New Ways and Means to Summarize Files Curtis A. Smith source 6
SUGI 2003 SAS System Options Are Your Friends Edward Heaton source 6
MWSUG 2002 Navigating Between Data Levels: A Tutorial to Working with Unit of Analysis Difference in Survey Research Data Chris Becker 3
SCSUG 2002 A FIRST . (but not LAST.) Word on the BY-group Processing Christine A. Smiley 9
SCSUG 2002 Summarizing and Reorganizing Data Jimmy A. DeFoor 7
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 Longitudinal Data Techniques: Looking Across Observations Ronald P. Cody 6
NESUG 2002 PROC SQL for DATA Step Die-Hards Christianna S. Williams 10
NESUG 2002 The DATA Step in Version 9: What's New? Jason Secosky 6
NESUG 2002 To Err Is Human; to Debug, Divine Roger Staum 11
NESUG 2002 Using SAS Indexes with Large Databases Alexander Vinokurov,
Larry Helbers		 4
SESUG 2002 Customized Reports - Have It Your Way! Deb Cassidy source 10
SESUG 2002 Missing Secrets Robin Jones,
H. Ian Whitlock		 source 4
SESUG 2002 Putting It Together - The Poster A Data Set Joining Primer Janet E. Stuelpner,
Caroline C. Bahler		 source 4
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 New Ways and Means to Summarize Files Curtis A. Smith source 6
WUSS 2002 Quick Results with the Output Delivery System Sunil Kumar Gupta source 9
WUSS 2002 The DATA Step in Version 9: What's New? Jason Secosky source 6
SEUGI 2002 SAS SPD Server, applying intelligence to data storage [presentation] Jochen Kirsten source 26
PharmaSUG 2002 To Err Is Human; To Debug Devine Roger Staum 12
SUGI 2002 DATA Step vs. PROC SQL: What's a Neophyte to Do? Craig Dickstein,
Ray Pass		 source 9
SUGI 2002 Longitudinal Data Techniques: Looking Across Observations Ronald P. Cody source 4
SUGI 2002 SAS Software-to-Web Configuration: from Scratch to Final Products Haiping Luo source 6
SUGI 2002 Taking Advantage of Missing Values in PROC SQL Ya Huang source 3
SUGI 2002 To Err Is Human; to Debug, Divine Roger Staum source 11
MWSUG 2001 Table Lookups: From IF-THEN to Key-Indexing Arthur L. Carpenter 8
MWSUG 2001 The Essential Meaning of PROC MEANS: A Beginner's Guide to Data Summarization Using the SAS System Andrew H. Karp 10
NESUG 2001 Graphs Without SAS/GRAPH Howard L. Schreier 7
NESUG 2001 Some Uses (and Handy Abuses) of PROC TRANSPOSE Ralph W. Leighton 10
WUSS 2001 Advanced SQL Processing Destiny Corporation (a company) source 15
WUSS 2001 Table Lookups: From IF-THEN to Key-Indexing Arthur L. Carpenter source 8
SESUG 2001 Changes and Enhancements to PROC MEANS In Version 8 of the SAS System Andrew H. Karp source 6
SESUG 2001 Point, Set, Match (Merge) - A Beginner's Lesson Jennifer Hoff Lindquist source 8
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 OOP Needs OOA and OOD Andrew B. Ratcliffe 5
SEUGI 2001 Air Deal Manager: an end-to-end travel & expense management solution with SAS Software Dionino Di Florio,
Fabio Luzzi,
Giuseppe Marcon,
Jennifer Leech,
Maria Rita Pepe		 source 20
SEUGI 2001 Scalable Performance Data Server - features of v3.0 [presentation] David Annis source 26
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 Step vs. PROC SQL: What's a Neophyte to Do? Craig Dickstein source 9
SUGI 2001 Summarizing to the One-Record-per-Person using PROC SUMMARY: When to Use CLASS and When to Use BY Sylvia C. Tze source 4
SUGI 2001 The Essential Meaning of PROC MEANS: A Beginner's Guide to Summarizing Data in SAS Andrew H. Karp source 10
SUGI 2001 Your Graphs on the Web with SAS/GRAPH Version 8 Francesca Pierri source 6
SCSUG 2000 Advanced SQL Processing Destiny Corporation (a company) 15
SCSUG 2000 Merge Processing - Alternative Table Lookup Techniques Destiny Corporation (a company) 7
SCSUG 2000 PROC TRANSPOSE: Making Data Easier to Process Jimmy A. DeFoor 12
SCSUG 2000 Programming for Job Security Revisted: Even More Tips and Techniques to Maximize Your Indispensability Arthur L. Carpenter,
Tony Payne		 15
SESUG 2000 SAS Programming and HEDIS: An Introductory Overview Christopher Plummer source 9
NESUG 2000 Avoiding Mayhem in the New Millennium: Working with Missing Data JoAnn R. Matthews 10
NESUG 2000 Longitudinal Data Techniques: Looking Across Observations Ronald P. Cody 6
NESUG 2000 Merge Processing - Alternative Table Lookup Techniques Destiny Corporation (a company) 8
NESUG 2000 PROC MEANSTM: More than just your average procedure Peter R. Welbrock 10
NESUG 2000 SAS Programming and HEDIS: An Introductory Overview Christopher Plummer 7
NESUG 2000 Some Uses (and Handy Abuses) of PROC TRANSPOSE Ralph W. Leighton 12
WUSS 2000 Advanced SQL Processing Dana Rafiee source 15
WUSS 2000 By Hook or By Crook: Overcoming Resource Limitations Curtis A. Smith source 8
WUSS 2000 Eenie Meenie Minie Moe - What's the Fastest Proc from Go to Whoa? Comparing PROC SQL and PROC SUMMARY Nikki M. Carroll source 2
WUSS 2000 Power Indexing: A Guide to Using Indexes Effectively in Nashville Releases Diane Olson source 5
WUSS 2000 Subsetting Files vs. Summarizing Files Curtis A. Smith source 6
WUSS 2000 Summarizing to the One-Record-Pere-Oerson Using PROC SUMMARY: When to Use CLASS and When to Use BY Jenny Yu source 6
MWSUG 2000 Merges and Joins Timothy J. Harrington 6
MWSUG 2000 Power Indexing: A Guide to Using Indexes Effectively in Nashville Releases Diane Olson 5
SEUGI 2000 Moving to SAS Version 8 with Oracle Clare Somerville,
Colin J. Harris		 source 8
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 Merges and Joins Timothy J. Harrington source 6
SUGI 2000 OOP Needs OOA and OOD Andrew B. Ratcliffe source 5
SUGI 2000 Power Indexing: A Guide to Using Indexes Effectively in Nashville Releases Diane Olson source 5
SUGI 2000 PROC MEANS: More Than Just Your Average Procedure Peter R. Welbrock source 10
SUGI 2000 The Problem with NODUPLICATES Jack Hamilton source 2
SCSUG 1999 Data Manipulation and Report Writing Techniques Julie Wallace 10
SCSUG 1999 Longitudinal Data Techniques Ronald P. Cody 6
SESUG 1999 Forecasting Army Officer Attrition with Logistic Regression Using The SAS System Douglas L. McAllaster source 10
SESUG 1999 Generating SAS Reports and the Collation Problem Imelda C. Go source 3
WUSS 1999 A SAS/AF Application for Parallel Extraction, Transformation, and Scoring of a Very Large Database Daniel W. Kohn,
David L. Kuhn		 source 7
WUSS 1999 An Everyday Guide to Versions 7 and 8 of the SAS System Susan J. Slaughter,
Lora D. Delwiche		 source 10
WUSS 1999 Constructing a Data Warehouse as the Foundation for a Client/Serveer Application System Curtis A. Smith source 8
WUSS 1999 Hook or Crook Curtis A. Smith source 6
NESUG 1999 How Should I Combine My Data, Is The Question Stephen Thompson,
Asha Sharma		 6
NESUG 1999 Longitudinal Data Techniques: Looking Across Observations Ronald P. Cody 6
NESUG 1999 PROC SQL for DATA Step Die-Hards Christianna S. Williams 10
NESUG 1999 Robust Programming Techniques in the SAS System Alice M. Cheng 10
NESUG 1999 SAS Programming and HEDIS: An Introductory Overview Christopher Plummer 7
NESUG 1999 So You Want to Learn PROC Report Chris Moriak 9
NESUG 1999 Some Uses (and Handy Abuses) of PROC TRANSPOSE Ralph W. Leighton 10
NESUG 1999 There's No Such Thing as Normal Clinical Trials Data, or Is There? Daphne E. Ewing 10
MWSUG 1999 This Old Code: Tips for Renovating SAS Release 5.18 Programs Mary F. MacDougall 2
SEUGI 1999 Strategic Use of Customer Lifetime Value [presentation] Tony Woods source 25
SUGI 1999 A SAS/AF Application for Parallel Extraction, Transformation, and Scoring of a Very Large Database Daniel Kohn,
David Kuh		 source 7
SUGI 1999 Constructing a Data Warehouse Curtis A. Smith source 6
WUSS 1998 Constructing a Data Warehouse Curtis A. Smith source 5
NESUG 1998 Debugging 101 Peter Knapp 10
NESUG 1998 There's No Such Thing as Normal Clinical Trials Data, or Is There? Daphne E. Ewing 10
NESUG 1998 Using SAS/IML to Calculate L-Moments for the Univariate Distribution Shape Parameters Skewness and Kurtosis Michael A. Walega 8
SESUG 1998 MATCH-MERGING: 27 Plus Traps and How to Avoid Them Malachy J. Foley 10
SESUG 1998 PC Hands-On Workshops Destiny Corporation (a company) 7
SESUG 1998 PROC DATACHK Revisited: The DATACHK Macro Jeffrey M. Abolafia,
Carry W. Croghan		 6
SESUG 1998 SAS/GRAPH - Dressing Up an Old Workhorse Robert W. Phelps 5
SESUG 1998 The Program Data Vector As an Aid to DATA step Reasoning Marianne L. Whitlock 10
PNWSUG 1998 Advanced SQL Dana Rafiee 15
PNWSUG 1998 Merge Processing - Alternative Table Lookup Techniques Dana Rafiee 8
PharmaSUG 1998 The Causes, Impact and Detection of Duplicate Observations Alice M. Cheng 11
PharmaSUG 1998 There's No Such Thing as Normal Clinical Trials Data, or Is There? Daphne E. Ewing 14
SUGI 1998 Better Titles: Using The #BY V AR and #BY V AL Options Arthur L. Carpenter source 3
SUGI 1998 Graphically Conquering the SF-36: A Tool for Illustrating Subscale by Group Over Time Using SAS/GRAPH Software David A. Dorr,
Mae O. Gordon		 source 5
SUGI 1998 MATCH-MERGIN G : 20 Some T raps and How to Avoid Them Malachy J. Foley source 21
SUGI 1998 Programming for Job Security Revisited: Even More Tips and Techniques to Maximize Your Indispensability Arthur L. Carpenter,
Tony Payne		 source 9
SUGI 1998 The SET Statement and Beyond: Uses and Abuses of the SET Statement JoAnn R. Matthews source 7
WUSS 1997 Better Titles: Using The #BYVAR and #BYVAL Title Options Arthur L. Carpenter source 3
NESUG 1997 A Closer Look At FIRST.var and LAST.var Marge Scerbo 2
NESUG 1997 A Non-Memory Intensive Alternative to PROC MEANS and PROC SUMMARY Jack Yang 4
NESUG 1997 Data Step vs. PROC SQL in a Many-to-Many Match-Merge Douglas L. McAllaster 6
NESUG 1997 SAS Versatility: Using SAS Software to Analyze and Report Students' Evaluations of Faculty Gail Wisan 10
NESUG 1997 SELECT ITEMS FROM PROC.SQL WHERE ITEMS > BASICS Alan Dickson,
Ray Pass		 10
NESUG 1997 Techniques for Managing Large Data Sets: Compression, Indexing and Summarization Lisa Ann Horwitz 8
MWSUG 1997 A Macro for Efficient and Flexible Data Smoothing John Cucka 7
SEUGI 1997 Analytical information system for accident monitoring at the Russian transport Andrey Grishel,
Tatiana Voinova		 source 40
PharmaSUG 1997 Better Titles: Using The #BYVAR and #BYVAL Title Options Arthur L. Carpenter 3
PharmaSUG 1997 MATCH-MERGING: Techniques, Tricks, and Traps Malachy J. Foley 8
SUGI 1997 A Macro for Efficient and Flexible Data Smoothing John Cucka source 4
SUGI 1997 A SAS Programmer's View of the SAS Supervisor H. Ian Whitlock source 11
SUGI 1997 Advanced MATCH-MERGING: Techniques, Tricks, and Traps Malachy J. Foley source 8
SUGI 1997 Advanced MATCH-MERGING: Techniques, Tricks, and Traps Malachy J. Foley source 8
SUGI 1997 Reports Based on SAS Output: Taking Advantage of PROC PRINTTO, DATA Steps and PROC GPRINT Lauren E. Haworth source 9
SCSUG 1996 A Beginner's Guide to Using Random File Access With the SAS System Glenn Millard 11
SESUG 1996 A SAS Programmer's View of the SAS Supervisor H. Ian Whitlock 11
SESUG 1996 MATCH-MERGING: Techniques, Tricks, and Traps Malachy J. Foley 8
SESUG 1996 NO MORE MERGE - Alternative Table Lookup Techniques Dana Rafiee 6
SESUG 1996 Sophisticated Data Linkage Using SAS Philip J. d'Almada 6
NESUG 1996 Manipulate and Create with PROC TABULATE Kimberly A. Mitchell,
Joseph Kufera		 14
NESUG 1996 PROC SQL - A Closer Look Jim Peters 10
MWSUG 1996 NO MORE MERGE - Alternative Table Lookup Techniques Dana Rafiee 6
WUSS 1996 Resolving and Using &&VAR&I Macro Variables Arthur L. Carpenter source 4
PNWSUG 1996 Using SAS View to Enhance Software Quality, Improve Data Security and Reduce Data Replication Adam Hendricks 27
SEUGI 1996 EIS Slovakia - The economic information system of the Slovak Republic Josef Chajdiak source 6
SUGI 1996 Getting Subtotals and Percentages: It's Never Been So Easy Christopher Toppe source 6
SUGI 1996 Households Touched by Crime: A Method for Counting Clusters of Units Affected by an Event of Interest Lawrence W. Altmayer source 4
SUGI 1996 JOining Strategies Access to All Data Caroline C. Bahler,
Stephen Clos		 source 5
SUGI 1996 NO MORE MERGE - Alternative Table Lookup Techniques Dana Rafiee source 6
SUGI 1996 SELECT ITEMS FROM PROC.SQL WHERE ITEMS > BASICS Alan Dickson,
Ray Pass		 source 10
SUGI 1996 Using Options to Improve Report Appearance Deb Cassidy source 10
SCSUG 1995 Getting Subtotals and Percentages: It's Never Been So Easy Christopher Toppe 6
SCSUG 1995 Remote and Open Access to Enterprise Data: Enhanced Distributed Data Access Through Multiple Engine Architecture Jack Wallace,
Michael D. Jones		 10
MWSUG 1995 Getting Subtotals and Percentages: It's Never Been So Easy Christopher Toppe 6
NESUG 1995 Cooperative File Interfaces: How SAS & BMDP Can Work Together On VAX/VMS Thalene T. Mallus 10
NESUG 1995 DATA Step Reporting Marge Scerbo 7
NESUG 1995 Getting Subtotals and Percentages: Its Never Been Easy Christopher Toppe 6
NESUG 1995 Large Data Volume: Tricks of the Trade Allison Levine 5
NESUG 1995 SELECT ITEMS FROM PROC.SQL WHERE ITEMS > BASICS Alan Dickson,
Ray Pass		 10
WUSS 1995 Getting Subtotals and Percentages: It's Never Been So Easy Christopher Toppe source 6
WUSS 1995 Programming Tricks with PROC REPORT in a Nonwindowing Environment Robin Mogavero source 5
WUSS 1995 Remote and Open Access to Enterprise Data: Enhanced Distributed Data Access Through Multiple Engine Architecture Jack Wallace source 10
WUSS 1995 The Effects on Learning Efficiency and Accuracy of Easy-to-Difficult Practice on the Tower of Hanoi Problem-Solving Task Diana D. Suhr,
Gypsy Denzine,
Stuart Garry,
Peggy Lane		 source 8
SESUG 1995 Beginning Tutorials GETTING SUBTOTALS AND PERCENTGES IT'S NEVER BEEN SO EASY Christopher Toppe 6
SESUG 1995 Host Systems Remote and Open Access to Enterprise Data Jack Wallace,
Michael D. Jones		 10
SESUG 1995 SELECT ITEMS FROM PROC.SQL WHERE ITEMS > BASICS Alan Dickson,
Ray Pass		 10
SESUG 1995 Strategies for Data-Driven, Customized Graphical Displays Richard W. Morris 6
SUGI 1995 Batch Processing in SAS/INSIGHT Software Heman Robinson source 8
SUGI 1995 DATA Step Reporting Marge Scerbo source 7
SUGI 1995 SAS Macros Useful in Imputing Missing Survey Data Barbara Lepidus Carlson,
Brenda Cox,
Linda Bandeh		 source 6
SUGI 1995 SELECT ITEMS FROM PROC.SQL WHERE ITEMS > BASICS Alan Dickson,
Ray Pass		 source 10
SCSUG 1994 Your Map to the Sea of GUIs: A Primer on Moving SAS Applications Across Graphical Operating Systems James D. Hefner 7
NESUG 1994 Adding BY Group Processing to a SAS/IML Subroutine Library Adeline J. Wilcox 2
NESUG 1994 DATA Step Reporting Marge Scerbo 7
NESUG 1994 Publication Ready Kaplan-Meier Curves Including Censored and Uncensored Subjects Karol H. Katz 6
NESUG 1994 SELECT ITEMS FROM PROC.SQL WHERE ITEMS > BASICS Alan Dickson,
Ray Pass		 10
NESUG 1994 Why Use PROC TRANSPOSE? Anthony Bryan Malinowski 5
MWSUG 1994 Letting SAS Find the Data Errors When You Have Multiple Observations and/or Multiple Datasets Deb Cassidy 9
SESUG 1994 Collating Printed Output from Multiple PROC Steps Howard L. Schreier 3
SUGI 1994 Graphical User Interface to Report Generation in a Pharmaceutical Environment (Using SAS/AF Software FRAME Technology to Keep Your Head Above Water) Ken Salatka,
Nancy Brucken		 source 6
SUGI 1994 Introduction to the UNIVARIATE Procedure Kim L. Kolbe Ritzow source 8
SUGI 1994 SELECT ITEMS FROM PROC.SQL WHERE ITEMS > BASICS Alan Dickson,
Ray Pass		 source 10
SUGI 1994 Tables for Two: An Introduction to the TABULATE Procedure Kathy McLeod source 10
SUGI 1994 This is a Fairy TaleNOT! A Primer on Moving SAS Applications Across Graphical Operating Systems James D. Hefner source 6
SUGI 1994 Using BY Variable Text Substitution to Add Data Values to SAS/GRAPH Titles and Footnotes Earl R. Westerlund source 2
NESUG 1993 An Overview of Methods Available For Obtaining Frequency Counts of Categorical Data Lawerence P. Specht 10
NESUG 1993 DATA Step Reporting Marge Scerbo 7
NESUG 1993 Use of PROC IML to Calculate L-Moments for the Univariate Distributional Shape Parameters Skewness and Kurtosis Michael A. Walega 8
NESUG 1993 Using BY Variable Text Substitution To Add Data Values to SAS/Graph Titles Earl R. Westerlund 2
SCSUG 1993 SAS Programming for Efficient Processing Clarence W. Jackson 6
SCSUG 1993 The SET Statement and Beyond: Uses and Abuses of the SET Statement S. David Riba 7
MWSUG 1993 Efficient Programming with PROC SQL Kim L. Kolbe Ritzow 4
MWSUG 1993 Relational Processing of Tape Databases Howard Levine 9
MWSUG 1993 The SET Statement and Beyond: Uses and Abuses of the SET Statement S. David Riba 7
SEUGI 1993 Verification of National Character Support in the SAS System Anders Skollermo source 13
SUGI 1993 DATA Step Changes and Enhancements Jeffrey A. Polzin source 6
SUGI 1993 Relational Processing of Tape Databases Howard Levine source 9
SUGI 1993 SET, MERGE, UPDATE, or MODIFY? (And What about Indexing?) Phil J. Weiss source 6
SUGI 1993 Strategies for Performing Multiple Comparisons on Means Jenny Aquino Kendall source 7
SUGI 1993 The SET Statement and Beyond: Uses and Abuses of the SET Statement S. David Riba source 7
SUGI 1993 Using the Release 6.07 PRINT Procedure Enhancements to Improve Your Output Debi M. Reece source 6
SCSUG 1992 The SAS System Supervisor - A Version 6 Update Merry G. Rabb,
Donald J. Henderson,
Jeffrey A. Polzin		 8
NESUG 1992 Introduction to Release 6.08 SAS/INSIGHT and SAS/LAB Software Mark Brown 6
NESUG 1992 Restructuring Data Sets Using Arrays of the TRANSPOSE Procedure Paula B. Podolnick 6
NESUG 1992 SAS System Supervison - A Version 6 Update Merry G. Rabb,
Donald J. Henderson,
Jeffrey Polzin		 8
MWSUG 1992 DATA Step Changes and Enhancements Jeffrey A. Polzin 6
MWSUG 1992 Introduction to Release 6.08 SAS/INSIGHT and SAS/LAB Software Mark Brown,
Marshall P. Scott		 6
SEUGI 1992 DATA Step Changes and Enhancements Bent Sorenson source 6
SUGI 1992 Advanced Programming Topics for the SAS/ACCESS Interface to DB2 Using the New Features of Release 6.07 Bradley W. Klenz,
Charles A. Jacobs		 source
SUGI 1992 Experiments in Indexing Swati Bansal,
Margaret Seldin		 source 3
SUGI 1992 Getting It and Keeping It with SAS Software-Advanced Strategies Sally M. Muller,
Kenneth A. Hardy,
Keith J. Brown		 source 7
SUGI 1992 How to Gain a Working Knowledge of the FREQ Procedure without Freaking Out Wendy London source 8
SUGI 1992 Strategies for Advanced Merging Applications Using the SQL Procedure and the Data Step Judith H. Mopsik,
Jeffrey Phillips,
Margaret Seldin		 source 8
SUGI 1992 The SAS System Supervisor - A Version 6 Update Merry G. Rabb,
Donald J. Henderson,
Jeffrey A. Polzin		 source 8
NESUG 1991 DATA Step Reporting Marge Scerbo 7
NESUG 1991 Introduction to Efficient Programming Techniques David S. Septoff,
Paige Valentine-Query		 5
MWSUG 1991 The View Review: PROC SQL Views, SAS/ACCESS Views, and DATA Step Views Andrew A. Norton 6
SEUGI 1991 Effective Use of Indexes in the SAS System Steve Beatrous source 10
SEUGI 1991 Some New Features in the DATA STEP Sarah Bell source 7
SUGI 1991 An Insider's Sneak Preview of the Next DATA Step Release Jeffrey A. Polzin source 7
SUGI 1991 Box and Whiskers Revisited - Using SAS/GRAPH Software to Produce Box and Whiskers Plots Hedy Weissinger source 4
SUGI 1991 Effective Use of Indexes in the SAS System Stephen M. Beatrous,
Karen Armstrong		 source 10
SUGI 1991 ERROR: What to Look for When Debugging SAS Programs Brit Minor source 6
SUGI 1991 Introduction to Efficient Programming Techniques Paige Valentine-Query source 5
SUGI 1991 Manipulating SAS Data Sets: An Introduction Richard Alonso source 6
SUGI 1991 Support for Users Groups: What Is Available from SAS Institute Sally A. Roberson source 3
SUGI 1991 The SAS System Supervisor - A Version 6 Update Donald J. Henderson,
Merry G. Rabb,
Jeffrey A. Polzin		 source
SUGI 1991 Using the C Language with SAS/TOOLKIT Software Oliver Bradley source 11
NESUG 1990 The SAS Supervisor - A Version 6 Update Donald J. Henderson,
Merry G. Rabb,
Jeffrey A. Polzin		 11
MWSUG 1990 The SAS Supervisor - A Version 6 Update Donald J. Henderson,
Merry G. Rabb,
Jeffrey A. Polzin		 10
SEUGI 1990 Using Relational Databases (ORACLE and RD) Together with the SAS System on VMS Thomas J. R. Emmerich source 5
SUGI 1990 Data Reduction and Summary Statistics in the DATA and PROCEDURE Steps Efficiency Considerations Michael C. Hein,
Judith H. Mopsik		 source 8
SUGI 1990 Efficient Data Summary: A Comparison of PROC and DATA Step Techniques Sandra D. Iverson,
Susan J. Slaughter		 source 4
SUGI 1990 If an Axis Is Too Long for the PAGESIZE=, LINESIZE=, HSIZE=, or VSIZE= Options PANELIZE Routines Warren Repole Jr. source 6
SUGI 1990 Mortar and Bricks: Using Basic SAS System Procedures to Manipulate Your Data Peter Kretzman source 8
SUGI 1990 Overview of the SET, UPDATE, AND MERGE Statements Richard Alonso source 5
SUGI 1990 The GLIM Procedure: An Interface to the SAS System P. M. Grambsch,
Jon L. Kosanke,
Terry M. Therneau,
D. J. Schaid,
R. Zinsmeister,
H.S. Wieand,
Kenneth P. Offord,
J. J. LarsonKeller		 source 5
SUGI 1990 The SAS Supervisor - A Version 6 Update Donald J. Henderson,
Merry G. Rabb,
Jeffrey A. Polzin		 source 9
SUGI 1990 Using Relational Database Technology and the SAS System to Develop SAS' System Applications under the VMS "Operating System Jean Moorefield source 7
SUGI 1990 Working with the SUMMARY Procedure: An Introduction John S. Boyden source 6
NESUG 1989 Advanced SET and MERGE Processing Robina G. Thornton,
Merry G. Rabb		 11
NESUG 1989 Challenging Mapping Problems Karen G. Malley 10
NESUG 1989 Efficient Processing of Large Datasets Howard Levine 10
NESUG 1989 The SAS Supervisor Donald J. Henderson 7
NESUG 1989 Using SAS to Build a Clinical Data System from Billing Data in a Hospital Environment Gary L. Katsanis 4
SEUGI 1989 An Overview Of MVA The SAS Institute Philosophy Of Hosting Philip J. Winters source 6
SEUGI 1989 SAS Institute's New Stand-Alone Graphics Product NeoVisuals Barbara Springs,
Craig Drury		 source 3
SEUGI 1989 Using New SAS Database Features And Options Jack Wallace source 12
SUGI 1989 A Procedure for the Analysis of Multivariate Binomial Data with Adjustments for Multiplicity Youling Lin,
Peter H. Westfall,
S. Stanley Young		 source 8
SUGI 1989 An Overview of MVA - A Philosophy of Hosting John A. Toebes VIII source 6
SUGI 1989 Calculation of Basic Statistics for BY Groups on Large Data Sets Akos Felsovalyi source 6
SUGI 1989 Comparison of the QPRINT Procedure with the PRINT Procedure Ann K. Doty,
Jane Whitner		 source 6
SUGI 1989 Illustrating Confidence Intervals Using SAS Software Julie Wildman-Pepe source 6
SUGI 1989 Most Creative Use of the Software-Monochrome Leslie Worf source 116
SUGI 1989 One Solution for Standardized Reporting and Easy Access to Complex Data Structures Using SAS Macros Paul OldenKamp source 6
SUGI 1989 SAS Programming Standards as a Learning Tool Ted Clay source 3
SUGI 1989 SAS/ETS Software: A Report on the New. Features in Release 6.03 and Other Work in Progress Mark Little source 4
SUGI 1989 The QPRINT Procedure: The Fast and Easy Way to Complex Listings, (or How to Avoid DATA-NULL-s) George E. Demuth,
Cam Huffman		 source 6
SUGI 1989 The SAS Supervisor and SET/MERGE Processing Aiman M. Zeid source 10
SUGI 1989 The SAS System for SMP/E Conversions K.L. Kanthan source 3
SUGI 1989 Using New SAS Database Features And Options Stephen M. Beatrous,
William D. Clifford,
Kevin Mosmon,
John T. Stokes		 source 12
NESUG 1988 Advanced SET and MERGE Processing Robina G. Thornton,
Merry G. Rabb		 14
NESUG 1988 The SAS Supervisor Donald J. Henderson,
Merry G. Rabb		 pdf 16
SUGI 1988 Advanced SET and MERGE Processing Robina G. Thornton,
Merry G. Rabb		 source 10
SUGI 1988 Dealing with Limitations of SAS/STAT Software on a PC Thomas R. Birkett source 4
SUGI 1988 Efficient Programming with the SAS System for Personal Computers: Save Time, Save Space Lisa Ann Horwitz,
E. Tim Thompson		 source 6
SUGI 1988 Macro and Macro-like Applications for Minicomputers Virginia M. Dineley,
Toby Trott		 source 8
SUGI 1988 Merging Data Sets When Distinct BY Variables Are Not Available Arthur L. Carpenter source 4
SUGI 1988 Sorting Massive Data Sets David S. Rubin source 4
SUGI 1988 Subsetting Data into Groups for Complete Processing within Each Group Janice D. Callahan,
Arthur L. Carpenter		 source 5
SUGI 1988 The SAS Supervisor Donald J. Henderson,
Merry G. Rabb		 source 7
SUGI 1988 Using Base SAS Software to Process Data Residing in a DB2 Data Base Hank Leddon source 4
SUGI 1988 Using the SAS/GRAPH Template Facility to Rotate Multiple Plots per Page in Batch Computing Patricia L. Gerend,
Richard E. Raftery		 source 3
SEUGI 1987 Efficiency and Performance Considerations for the SAS System under PC DOS Gordon W. Davis,
Scott S. Sweetland		 source 9
SEUGI 1987 SAS/SHARE Software Overview and Features Jack Wallace source 6
SUGI 1987 Beyond Default Colors: Introduction to Customizing Graphics Output Janet Lasher source 4
SUGI 1987 Building a Clinical Data Review System Using SAS/AF Software James F. Sattler source 7
SUGI 1987 Computer Center Chargeback Using SAS Software and MICS Jeanne Buse 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 Getting the Most from PROC TABULATE Andrew A. Norton source 10
SUGI 1987 Lean and Mean: A Guide to Self Discipline in Using the SAS System Peter Kretzman source 3
SUGI 1987 One Approach to SAS Training Geraldine M. Resheske source 5
SUGI 1987 Report Writing with PROC PRINT and PROC QPRINT James A. LeGoullon,
Debra Martinson		 source 8
SUGI 1987 SAS/SHARE Software Overview and Features Bill Brideson source 6
SUGI 1987 The SAS Supervisor Donald J. Henderson,
Merry G. Rabb		 source 10
SUGI 1987 Writing Customized Reports Using the DATA Step Howard Levine source 10
SUGI 1987 XMERGE: A Generalized Macro for Subsetting and/or Expanding SAS Data Sets Thomas E. Schneider,
Donald D.M. Tong		 source 5
SUGI 1986 Efficient Use of PROC SUMMARY Suzanne Clark,
Liz Konowal		 source 6
SUGI 1986 How to Write SAS Procedures for Version 5 Ronald Parker source 10
SUGI 1986 Self Serve System Enio Presutto source 6
SUGI 1986 The Basics of SAS Software: The BY Statement, When You Need It and When You Don't Peter L. Rikard source 2
SUGI 1985 Enhancing SAS Software Skills through a Better Understanding of the SAS Log Anne M. Asher,
Judith H. Mopsik		 source 9
SUGI 1985 Generating Standardized Reports for Preclinical Pathology Research using Base SAS Software and CMS EXEC2 Rong Q. Pan source 7
SUGI 1985 PROC PECAN - A SAS Procedure Sivaram Kalyandrug,
Jay H. Lubin		 source 8
SUGI 1985 Statistical Graphics Made Possible by the SAS/GRAPH ANNOTATE Facility under VMS Patricia M.D. Benoit source 7
SUGI 1985 SURVCOMP-SAS MACRO for Descriptive Survival Analysis Jeannette Y. Lee,
J. Michael White		 source 8
SUGI 1985 Writing SAS Procedures Terri L. Betancourt source 7
SUGI 1984 An FSEDIT Screen Building Program to Allow Multiple Observations per Screen Judith A. Burns,
Leon T. Hairie,
Thomas R. Hoffman		 source 6
SUGI 1984 An Interactive Graphics Procedure for SAS Software with Application in Computer Performance Evaluation H.M. Van Woerkom source 6
SUGI 1984 Changes and Enhancements to SAS/ETS Procedures David M. DeLong,
Leigh A. Ihnen,
Mark Little		 source 6
SUGI 1984 New SAS Tools for Data Base Management N. D. Prabhakar source 3
SUGI 1984 NODIS Procedures for Demographic Analysis Mark J. Salling,
Janice S. Tobin		 source 6
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 JACKREG-A SAS Procedure for Jackknife Regression Daniel M. Chilko,
Panayiotis Hambi,
Gerald R. Hobbs		 source 6
SUGI 1983 Adverse Reaction Incidence Tables for Clinical Trials Donna R. Park,
Stephen J. Ruberg		 source 5
SUGI 1983 Data Reduction and Summarization Joshua Sharlin source 8
SUGI 1983 SAS Methods for Standard Error of Estimate in Maximum Likelihood Factor Analysis .. Susanna F.M. Clarkson,
Douglas B. Clarkson		 source 5
SUGI 1983 Stratified Randomization Using SAS Joanne DiPietro,
Sampson Tu		 source
SUGI 1982 Conditional Execution of Data and Proc Steps Donald J. Henderson source
SUGI 1982 Set Merge and Update Peter L. Rikard source 4
SUGI 1982 Techniques for Interrelating and Reducing Data Bases Using SAS Robert U. Anderson,
James W. Davis,
Steven Flint		 source
SUGI 1982 Using SAS for Box-Cox Transformation in Regression Analysis Ollie Frazier,
Deepak A. Keshani		 source 6
SUGI 1981 A SAS Macro for Calculating the Quadratic Discriminant Function Charles S. Davis source 7
SUGI 1981 Teaching SAS to the Entry-Level Programmer Debbie D. Wilson source 3
SUGI 1980 Development of an Interactive Weibull Data Analysis System Utilizing SAS John B. Cosgray source 5
SUGI 1980 PROC MATPAR: A SAS Procedure for Calculating Matched-Pair Partial Correlations Robert E. Johnson,
Dana Quade		 source 6
SUGI 1980 Teaching SAS Users in a Research Center Robert L. Clements source 6
SUGI 1979 The Procedure DURBIN M. E. McBride,
Robert P. Parks		 source 6
SUGI 1979 Trimmed Means, Medians, and Robust Tests of Homogeneity of Variance Donald J. Henderson source 6
SUGI 1978 Conversational Instruction in the Statistical Analysis System Ione H. Cockrell,
Dorsey A. Glenn		 source 4
SUGI 1978 The KWIKPLOT Procedure Paul D. Hopkins,
Peggy A. Pearsall		 source 3
SUGI 1977 Retrieval and Analysis of Clinical Data Using SAS 76 Procedures H. S. Greenburg,
David W. Johnson,
Michael S. Lajiness,
G. L. Schooley		 source 4

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