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1313 papers and 15 presentations; 1044 titles.

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Conference × Year × Title × Authors Extras Pages
WUSS 2026 The Essentials of SAS Dates and Times Derek P. Morgan source 24
PharmaSUG 2026 An Experience Using R, SASSY and Tidyverse For Clinical Trial Analysis, From A SAS Programmer Perspective David W. Franklin source 27
PharmaSUG 2026 Automating Character Variable Length Updates Using SAS Macros [presentation] Carleigh Jo Crabtree source 7
PharmaSUG 2026 Efficiency Techniques in SAS 9.4 Stephen B. Sloan source 9
PharmaSUG 2026 Enhancing Quality and Efficiency in Clinical Programming with a Python-Based Automated File Comparison Tool Ratheesh Gunda source 10
PharmaSUG 2026 From Suspicion to Evidence: Automating Character Truncation Risk Audits with a Parameterized SAS Macro and Review-Ready Excel Output Xinran Hu source 7
PharmaSUG 2026 Human Beings Still Needed: Manual ADaM Checks that AI Can-t Do Sandra Minjoe,
Mario Widel		 source 9
PharmaSUG 2026 ISO 8601 and SAS-and R! A Practical Approach Derek P. Morgan,
Marckenley Mercie		 source 17
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
PHUSE US 2026 Data Harmonisation for ISS and ISE: A Practical Checklist for Integration Success Qiong Wei,
Lily Cheng		 source
presentation source		 10
PHUSE US 2026 Methods of a Fully Automated CONSORT Diagram Macro %CONSORT Jeffrey P. Meyers source
presentation source		 18
PHUSE APAC 2026 Automated Character Length Audits to Optimize SUPPVAR Integration Rammohan Konda source
presentation source		 7
PHUSE EU 2025 A Splash in Time Insights into a Data Pooling Time Machine Lutz Hoffmann,
Dana Vinzelberg		 source
presentation source		 7
MWSUG 2025 Highlighting the Differences: PROC COMPARE in Excel Jane Eslinger source 12
SESUG 2025 An Overview on Comparing SAS Dates and Times Patrick Mercer 7
SESUG 2025 Efficiency Techniques in SAS 9 Stephen B. Sloan 9
SESUG 2025 Mobile app generated nail picture RGB data text files from very low birth weight (VLBW) infants at NICU bed: SAS code to assemble large volume of text files into analytical datasets for image analysis Neeta Shenvi 11
SESUG 2025 RIGHT-SIZING CHARACTER VARIABLES: A SAS DATA MANAGEMENT STRATEGY FOR OPTIMIZING LARGE DATASETS Divya Gadde 7
WUSS 2025 Going to great lengths: Using VARCHARs in the DATA step Richard D. Langston source 14
WUSS 2025 Highlighting the Differences: PROC COMPARE in Excel Jane Eslinger source 12
PharmaSUG 2025 A discussion of the new ADaM guidance (ADNCA and ADPPK) for pharmacokinetics. Luke Reinbolt source 3
PharmaSUG 2025 Advanced ODS Excel Tricks: Password Protected Workbooks and Clickable Navigation Jeffrey P. Meyers source 13
PharmaSUG 2025 Efficiency Techniques in SAS 9 Stephen B. Sloan source 9
PharmaSUG 2025 How Not to Drown in Code When Pooling Data Scott Burroughs source 5
PHUSE US 2025 Data Quality in Pooled Studies: Overcoming Challenges and Ensuring Accuracy Monika Ludwinska source
presentation source		 11
MWSUG 2024 A General Review of Fuzzy Matching Techniques and Their Capabilities Using SAS Kirk Paul Lafler source 31
MWSUG 2024 Best Practices for Efficiency and Code Optimization in SAS programming Jayanth Iyengar source 20
MWSUG 2024 The Everytown Research database: Using SAS analytic procedures to analyze mass shootings Jayanth Iyengar source 31
PHUSE EU 2024 How to Use Regular Expression for Complex Searches in Data Romain Gruber source
poster source		 5
SESUG 2024 Fontcase Macro Ranjan Sitaula source 8
SESUG 2024 Introduction to Character Strings Jason L. Ford source 23
SESUG 2024 One Click to Create a List of MEPS-HC ZIP Files' Download URLs: Web Scraping with SAS and Python Pradip K. Muhuri,
Charles Z.X. Han,
John Vickery		 source 20
SESUG 2024 The Dreaded Data Type Conversion, Character to Numeric, Numeric to Character, a Deep Dive. Emily F. Zucker source 12
SESUG 2024 Utilizing SAS to Remedy Issues with Long Character Variables Piotr Krzystek source 5
WUSS 2024 A Survey of Some of the Most Useful SAS Functions [presentation] Ronald P. Cody source 61
WUSS 2024 LAST CALL to Get Tipsy with SAS: Tips for Using CALL Subroutines Lisa A. Mendez,
Richann J. Watson		 source 20
WUSS 2024 The Essentials of SAS Dates and Times Derek P. Morgan source 23
WUSS 2024 The Everytown Research database: Using SAS analytic procedures to analyze mass shootings Jayanth Iyengar source 31
PharmaSUG CN 2024 Data-Driven Programming With CALL EXECUTE Lin Jiang source 10
PharmaSUG CN 2024 Fighting with Special Characters in Data Management Programmer's Daily Work Fei Guo source 20
PharmaSUG 2024 Automated Harmonization: Unifying ADaM Generation and Define.xml through ADaM Specifications Wei Shao,
Xiaohan Zou		 source 10
PharmaSUG 2024 LAST CALL to Get Tipsy with SAS: Tips for Using CALL Subroutines Lisa A. Mendez,
Richann J. Watson		 source 20
PHUSE EU 2023 Look to the Sky: Introducing COMET - the COncomitant MEdication review Tool Neville Cope source
presentation source		 7
PHUSE EU 2023 SAS Arrays in R Way Jagadish Katam source
presentation source		 8
PHUSE EU 2023 Transparent is the New Black - Improving Data Findability Through Better Clinical Metadata Lukas Kniola source
presentation source		 16
WUSS 2023 Application of Fuzzy Matching Techniques Using SAS Software Kirk Paul Lafler,
Stephen B. Sloan		 source 30
WUSS 2023 Open-Source Essentials HOW - R and RStudio Wendy Christensen source 17
WUSS 2023 Reducing the Space Requirements of SAS Data Sets without Sacrificing any Variables or Observations Stephen B. Sloan source 7
WUSS 2023 Sorting a Bajillion Variables: When SORTC and SORTN Subroutines Have Stopped Satisfying, User-Defined PROC FCMP Subroutines Can Leverage the Hash Object to Reorder Limitless Arrays Troy Martin Hughes source 16
WUSS 2023 TARDIS: Tracking Alterations and Record Differences in SAS, a Macro to Add Color to Your Dataset Comparisons Inka Leprince source 21
WUSS 2023 The Essentials of SAS Dates and Times Derek P. Morgan source 24
SESUG 2023 A Quick Look at Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan,
Kirk Paul Lafler		 source 29
SESUG 2023 Application of Fuzzy Matching Techniques Using SAS Software Kirk Paul Lafler,
Stephen B. Sloan		 source 30
SESUG 2023 Best Practices for Efficiency and Code Optimization in SAS programming Jayanth Iyengar source 20
SESUG 2023 How to Merge SAS Datasets with PII Julie Plano,
Keli Sorrentino		 source 6
SESUG 2023 Methods and Tools for Publishing at SESUG and Beyond-Advanced Techniques Jonathan W. Duggins,
James E. Blum		 source 17
SESUG 2023 Methods and Tools for Publishing at SESUG and Beyond-Basic Techniques James E. Blum,
Jonathan W. Duggins		 source 22
SESUG 2023 Reducing the Space Requirements of SAS Data Sets without Sacrificing any Variables or Observations Stephen B. Sloan source 7
SESUG 2023 SAS Program Efficiency for Beginners Bruce F. Gilsen source 15
SESUG 2023 Sorting a Bajillion Variables: When SORTC and SORTN Subroutines Have Stopped Satisfying, User-Defined PROC FCMP Subroutines Can Leverage the Hash Object to Reorder Limitless Arrays Troy Martin Hughes source 16
SESUG 2023 The Everytown Research database: Using SAS analytic procedures to analyze mass shootings Jayanth Iyengar source 31
SESUG 2023 Visualizing Chronic Lung Disease Incidence in SAS; An Educational Journey to Data Visualization Natalie A. Jordan,
A. Nicole Ferguson,
Jessica G. Woo,
Kevin Gittner,
Reese H. Clark		 source 10
PharmaSUG 2023 A Quick Look at Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan,
Kirk Paul Lafler		 source 29
PharmaSUG 2023 Best Practices for Efficiency and Code Optimization in SAS programming Jayanth Iyengar source 20
PharmaSUG 2023 Friends are better with Everything: A User-s Guide to PROC FCMP Python Objects in Base SAS Matthew T. Slaughter,
Isaiah Lankham		 source 28
PharmaSUG 2023 Methods of a Fully Automated CONSORT Diagram Macro %CONSORT Jeffrey P. Meyers source 21
PharmaSUG 2023 Sorting a Bajillion Variables: When SORTC and SORTN Subroutines Have Stopped Satisfying, User-Defined PROC FCMP Subroutines Can Leverage the Hash Object to Reorder Limitless Arrays Troy Martin Hughes source 16
PharmaSUG 2023 Tired of Manual Language Translation? Give it a REST! Shawn Hopkins,
Matthew Ness		 source 7
PharmaSUG 2023 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 4
PHUSE US 2023 Tidytlg: An R Package for Clinical Reporting Using Tidyverse Sheng-Wei Wang source
presentation source		 9
PHUSE US 2023 Up-to-Date with Dates - Imputation Rules in R Compared to SAS Monika Ludwinska source
presentation source		 10
SESUG 2022 Application of Fuzzy Matching Techniques Using SAS Software - A Panel Discussion Kirk Paul Lafler,
Stephen B. Sloan		 source 30
SESUG 2022 Essential Programming Techniques Every SAS User Should Learn Kirk Paul Lafler source 27
SESUG 2022 Functions (and More!) on CALL! Richann J. Watson,
Louise S. Hadden		 source 33
SESUG 2022 Leveraging the CONTENTS PROCEDURE for easier SET statements Tamar C. Roomian source 8
SESUG 2022 PROC IMPORT: Controlling SAS Data Types and Character Variable Lengths When Reading CSV Files Imelda C. Go,
Abbas S. Tavakoli		 source 5
SESUG 2022 Reducing the Space Requirements of SAS Data Sets without Sacrificing any Variables or Observations Stephen B. Sloan source 7
SESUG 2022 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 5
WUSS 2022 A Survey of Some of the Most Useful SAS Functions Ronald P. Cody source 16
WUSS 2022 Application of Fuzzy Matching Techniques Using SAS Software - A Panel Discussion Kirk Paul Lafler,
Stephen B. Sloan		 source 30
WUSS 2022 Attribute Reduction for Continuous Dependent Variables in SAS Alec Zhixiao Lin source 20
WUSS 2022 Best Practices for Efficiency and Code Optimization in SAS programming Jayanth Iyengar source 21
WUSS 2022 Essential Programming Techniques Every SAS User Should Learn Kirk Paul Lafler source 27
WUSS 2022 Explore Your Data and Avoid Surprises Dan Konkler,
Gilbert Ramos		 source 16
WUSS 2022 Four Different Page Layouts on the Fly with Three Reports on a Page Using the Output Delivery System Derek P. Morgan source 22
WUSS 2022 Friends are better with Everything: Using PROC FCMP Python Objects in Base SAS Matthew T. Slaughter,
Isaiah Lankham		 source 24
WUSS 2022 Functions (and More!) on CALL! Richann J. Watson,
Louise S. Hadden		 source 33
WUSS 2022 Generate Complex SAS code from File [presentation] Paul Silver source 5
WUSS 2022 The Essentials of SAS Dates and Times Derek P. Morgan source 25
WUSS 2022 TrackCHG: A SAS Macro to Colorize and Track Changes Between Data Transfers in Subject-Level Safety Listings Inka Leprince,
Elizabeth Li,
Carl Chesbrough		 source 21
WUSS 2022 Using Dictionary Tables to Create Dynamic Programs Jake Reeser source 9
PharmaSUG 2022 A Quick Look at Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan,
Kirk Paul Lafler		 source 29
PharmaSUG 2022 From Codelists to Format Library Nancy Brucken source 6
PharmaSUG 2022 Functions (and More!) on CALL! Richann J. Watson,
Louise S. Hadden		 source 33
PharmaSUG 2022 ISO 8601 and SAS: A Practical Approach Derek P. Morgan source 13
PharmaSUG 2022 R syntax for SAS programmers Max Cherny source 12
PharmaSUG 2022 SAS Macro to Colorize and Track Changes Between Data Transfers in Subject-Level Listings Inka Leprince,
Elizabeth Li,
Carl Chesbrough		 source 19
PharmaSUG 2022 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 5
PharmaSUG 2022 Working with Dataset-JSON using SAS Lex Jansen source 23
PHUSE EU 2021 Differences in Performance Between the Options KEEP and WHERE as Compared to the Statements KEEP and IF in SAS Data Steps Ruurd Bennink source
video
presentation source		 8
PHUSE EU 2021 SAS Formats On The Fly Using ADaM Datasets [presentation] John Hendrickx source
video		 12
SESUG 2021 A Quick Look at Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan,
Kirk Paul Lafler		 source 28
SESUG 2021 Copying Data Between SAS and JSON Files Bruce F. Gilsen source 30
SESUG 2021 Getting Started with Attribute Maps: Methods for Creating and Storing Custom Style Definitions for Graphs, Charts, and Maps James E. Blum,
Jonathan W. Duggins		 source 19
SESUG 2021 PROC FORMAT for Scrappy SAS Users and Posh Programmers Rachel Straney source 12
SESUG 2021 SAS Macro to Identify Potentially Obsolete Variables in a File Thomas E. Billings source 7
SESUG 2021 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 4
PharmaSUG 2021 A Quick Look at Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan,
Kirk Paul Lafler		 source 28
PharmaSUG 2021 Automated CONSORT Flow Diagram Generation by SAS Programming Ryan Yu source 10
PharmaSUG 2021 Better to Be Mocked Than Half-Cocked: Data Mocking Methods to Support Functional and Performance Testing of SAS Software Troy Martin Hughes source 17
PharmaSUG 2021 CDISC ADaM Phases, Periods, and Subperiods: A Case Study Jennifer K. Fulton source 9
PharmaSUG 2021 Common Dating in R: With an example of partial date imputation Teckla Akinyi source 14
PharmaSUG 2021 Essential Programming Techniques Every SAS User Should Learn Kirk Paul Lafler source 26
PharmaSUG 2021 Evaluating anthropometric growth endpoints with Z-Scores and Percentiles Snehal Sanas,
Pradeep Umapathi		 source 11
PharmaSUG 2021 How to Write a SAS Open Code Macro to Achieve Faster Updates Frederick A. Cieri source 32
PharmaSUG 2021 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 4
PharmaSUG 2021 Using SAS for Forest Plots in AMNOG Meta-Analysis Reporting Jian-An Lu,
Jinwei Yuan		 source 10
PharmaSUG 2021 Using Stata for handling CDISC compliant datasets and outputs Tong Zhao,
Jin Shi		 source 7
SGF 2021 Copying Data Between SAS and JSON Files Bruce F. Gilsen source
presentation		 30
SGF 2021 Data-driven Programming Techniques Using SAS Kirk Paul Lafler source
presentation		 23
SGF 2021 Detecting Online Recruitment Fraud Matthew Fruge,
Noah Heinrich		 source 6
SGF 2021 How SAS 9.x enriched your SAS programmer life? Angelo Tinazzi source
pdf		 15
SGF 2021 Making SAS Tables Smaller and Faster Without Data Loss Glen Becker source
presentation		 16
SGF 2021 Methods of a Fully Automated CONSORT Diagram Macro %CONSORT Jeffrey P. Meyers source
sas
txt
presentation		 20
SGF 2021 Quick, Call the "FUZZ": Using Fuzzy Logic Richann J. Watson,
Louise S. Hadden		 source 30
SGF 2021 The SAS Data Set Characterization Utility Michael A. Raithel source 10
SGF 2021 Transcoding: Understand, Troubleshoot, and Resolve a Most Mysterious SAS Error Yun (Julie) Zhuo source
presentation		 14
SGF 2021 Twenty Ways to Run Your SAS Programs Faster and Use Less Space Stephen B. Sloan source 4
PHUSE EU 2020 Mind the Gap: Make Sure You Are Upskilled with SAS 9.x Angelo Tinazzi source
video
presentation source		 11
PHUSE EU 2020 SAS v. R vs. Python - A Comparison of Data Exploration Techniques Nathanael Cockburn source
video
presentation source		 12
PHUSE EU 2020 Solving Hundreds of SDTM Validation Errors and Notices in One Click: Pinnacle 21 SD1082 and SD1078 Rules [poster] Antonio Nieto,
Sonia Extremera		 source
video		 1
SESUG 2020 Data Step versus Everybody: Approaching Problems as a Beginning Coder Brian K. Varney source 13
SESUG 2020 Reducing the Space Requirements of SAS Data Sets without Sacrificing any Variables or Observations Stephen B. Sloan source 7
SESUG 2020 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 4
SGF 2020 Exploring Online Drug Reviews using Text Analytics, Sentiment Analysis, and Data Mining Models Thu Dinh,
Goutam Chakraborty		 source 23
SGF 2020 Five Simple Ways to Know If Variables in a Table Are All Missing Xia Ke Shan,
Kurt Bremser		 source 6
SGF 2020 Next Steps: Important Considerations for Moving Your Data and Formats into CAS Kevin Russell source 14
SGF 2020 Optimal Use of Extended Data Types, Memory Mapping in SAS Viya 3.3 Saurabh Tripathi source 9
SGF 2020 Read Before You Read: Reading, Rewriting & Re-Reading Difficult Delimited Data in a Data Step Michael Chu source 12
SGF 2020 RegExing in SAS for Pattern Matching and Replacement Pratap Singh Kunwar source 33
SGF 2020 Some _FILE_ Magic Michael S. Zdeb source 7
SGF 2020 The Essentials of SAS Dates and Times Derek P. Morgan source 25
SGF 2020 Three Reports on a Page and 4-Page Layouts on the Fly with SAS and the Output Delivery System Derek P. Morgan source 22
SGF 2020 Turn Yourself into a SAS Internationalization Detective in One Day: A Macro for Analyzing SAS Data of Any Encoding Houliang Li source 16
SGF 2020 Twenty Ways to Run Your SAS Programs Faster and Use Less Space Stephen B. Sloan source 5
SGF 2020 Your Data Will Go On: Practice for Character Data Migration Edwin Xie source 13
PharmaSUG 2020 %MVMODELS: a Macro for Survival and Logistic Analysis Jeffrey P. Meyers source 23
PharmaSUG 2020 Better to Be Mocked Than Half-Cocked: Data Mocking Methods to Support Functional and Performance Testing of SAS Software Troy Martin Hughes source 17
PharmaSUG 2020 Detecting Side Effects and Evaluating the Effectiveness of Drugs from Customers' Online Reviews using Text Analytics, Sentiment Analysis and Machine Learning Models Thu Dinh,
Goutam Chakraborty		 source 22
PharmaSUG 2020 Diaries and Questionnaires: Challenges and Solutions Marina Komaroff,
Sandeep Byreddy		 source 7
PharmaSUG 2020 Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan,
Kirk Paul Lafler		 source 28
PharmaSUG 2020 Python-izing the SAS Programmer 2: Objects, Data Processing, and XML Mike Molter source 18
PharmaSUG 2020 Quick, Call the "FUZZ": Using Fuzzy Logic Richann J. Watson,
Louise S. Hadden		 source 30
PharmaSUG 2020 Transpose Procedure: Turning it Around Again Janet E. Stuelpner source 8
PHUSE US 2020 Code Generator to Check Truncated Values in Derived Datasets Proma Mukherjee source
presentation source		 5
PHUSE US 2020 Generating TFLs in R - Challenges and Successes Compared to SAS Amol Wayker,
Andrew Miskell		 source
presentation source		 10
PHUSE US 2020 R syntax for SAS programmers Max Cherny source
presentation source		 12
PHUSE EU 2019 Data Anonymisation & Risk Assessment - Process Map and Automation Efforts Lukas Kniola source
poster source		 7
SESUG 2019 Analyzing Airbnb reviews using SAS Text Miner and Predicting the factors contributing for higher ratings Ashlesha Sampathi source 15
SESUG 2019 Better to Be Mocked Than Half-Cocked: Data Mocking Methods to Support Functional and Performance Testing of SAS Software Troy Martin Hughes source 17
SESUG 2019 Data Step versus Everybody: Approaching Problems as a Beginning Coder Brian K. Varney source 12
SESUG 2019 Exploring Efficiency in Data Manipulation with SAS: How to Get the Most Out of My Software and Hardware Jonathan W. Duggins source 10
SESUG 2019 Hexadecimal Encoding Can Mitigate Some SAS Macro Quoting Issues Thomas E. Billings source 12
SESUG 2019 Quick, Call the "FUZZ": Using Fuzzy Logic Richann J. Watson source 30
SESUG 2019 Reducing the Space Requirements of SAS Data Sets without Sacrificing any Variables or Observations Stephen B. Sloan source 7
SESUG 2019 RegExing in SAS for Pattern Matching and Replacement Pratap Singh Kunwar source 33
SESUG 2019 SAS PROC IMPORT Troubleshooting Guide Imelda C. Go,
Wendi L. Wright		 source 12
SESUG 2019 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 4
SESUG 2019 Vetting Differences Between Relational Database Definitions and Actual Data with SAS Vetting Differences source 11
SESUG 2019 You Ought To Be In Pictures! Dressing up output with the PICTURE format Jennifer Lindquist source 13
SCSUG 2019 Introduction to Data-Driven Programming Using SAS for Beginners Kirk Paul Lafler source 23
SCSUG 2019 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 6
MWSUG 2019 Detecting Side Effects and Evaluating Effectiveness of Drugs from Customers' Online Reviews using Text Analytics and Data Mining Models Thu Dinh 23
MWSUG 2019 From FREQing Slow to FREQing Fast: Facilitating a Four-Times-Faster FREQ with Divide-and-Conquer Parallel Processing Troy Martin Hughes 22
MWSUG 2019 Quick, Call the "FUZZ": Using Fuzzy Logic Richann J. Watson,
Louise S. Hadden		 30
WUSS 2019 'Tis Better to Give than Receive: Considerations when Sharing Data Melissa R. Pfeiffer source 13
WUSS 2019 A Quick Look at Fuzzy Matching Programming Techniques Using SAS Software Kirk Paul Lafler,
Stephen B. Sloan		 source 28
WUSS 2019 Better to Be Mocked Than Half-Cocked: Data Mocking Methods to Support Functional and Performance Testing of SAS Software Troy Martin Hughes source 17
WUSS 2019 Fuzzy-Matches Made Easy: Designing Shareable SAS Code to Accurately and Efficiently Identify Exact and Close Genetic Matching Tuberculosis Isolates Fuzzy-Matches Made,
Evan Timme		 source 5
WUSS 2019 Tips for the lazy typist (and other strategies for smart coding) Melissa R. Pfeiffer source 10
PharmaSUG 2019 Automate the Mundane: Using Python for Text Mining Nathan Kosiba source 5
PharmaSUG 2019 Automate the Process to Ensure the Compliance with FDA Business Rules in SDTM Programming for FDA Submission Xiangchen (Bob) Cui,
Hao Guan,
Min Chen,
Letan (Cleo) Lin		 source 16
PharmaSUG 2019 Figure it out! Using significant figures from reported lab data to format TLF output Elizabeth Thomas,
Lauren Williams		 source 8
PharmaSUG 2019 Practical Guidance for ADaM Dataset Specifications and Define.xml Jack Shostak source 14
PharmaSUG 2019 Quick Tips and Tricks: Perl Regular Expressions in SAS Pratap Kunwar,
Jinson J. Erinjeri		 source 12
PharmaSUG 2019 Reducing the Space Requirements of SAS Data Sets without Sacrificing any Variables or Observations Stephen B. Sloan source 7
PharmaSUG 2019 Six Useful Data Tool Macros Ting Sa source 24
SGF 2019 Airbnb New York City: Demystifying the Superhost Program Soumya Ranjan Kar Choudhury source 7
SGF 2019 Dynamically Assigning Length to Transposed Variables Ethan Ritchie source 5
SGF 2019 Introduction to Data-driven Programming Using SAS Kirk Paul Lafler source 23
SGF 2019 Re-Mapping a Bitmap Paul M. Dorfman,
Lessia S. Shajenko		 source 33
SGF 2019 Standardizing Text in your Data Guihong Chen source 8
SGF 2019 The Essentials of SAS Dates and Times Derek P. Morgan source 25
SGF 2019 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 6
SGF 2019 Using SAS to Analyze ICD9 and ICD10 Codes Kathy Hardis Fraeman source 11
PHUSE US 2019 A Macro Tool to Reduce the Size of the Regulatory Submission Dataset Venkata Madhira source
presentation source		 7
PHUSE US 2019 An Open Clinical Data Quality Framework Vineet Jain source
presentation source		 11
PHUSE US 2019 Perl Functions in SAS: Perl Functions Can Add Pearl in Your Code Kamleshkumar Patel,
Jigar Patel		 source
presentation source		 8
SCSUG 2018 'V' for ... Variable Information Functions to the Rescue Richann J. Watson,
Karl Miller		 source 16
SCSUG 2018 Conditional Processing in the SAS Software by Example Charu Shankar source 9
SCSUG 2018 Introduction to Data-driven Programming Using SAS Kirk Paul Lafler source 22
SCSUG 2018 Programming the Provider Previews: Extreme SAS Reporting Louise S. Hadden source 9
SCSUG 2018 Secret to SAS Dates Alison Little source 9
SCSUG 2018 Tips for the lazy typist (and other strategies for smart coding) Melissa R. Pfeiffer source 9
PHUSE EU 2018 Adjusting for Daylight Saving Times [presentation] Guido Wendland source 22
PHUSE EU 2018 Optimizing the Traceability Method in ADaM Parallel Conversions Roxane Debrus source
presentation source		 15
PHUSE EU 2018 Time Management: Programming Techniques to Positively Impact Runtimes Ian Sanderson source
presentation source		 9
SESUG 2018 DO the Loop De Loop! Jennifer Hoff Lindquist source 8
SESUG 2018 Efficient Use of Disk Space in SAS Application Programs Thomas E. Billings source 15
SESUG 2018 From CSV to SAS: Dealing with Empty Fields and Repeated Observations Kelly D. Smith,
Paul G. Earls		 source 7
SESUG 2018 Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan source 29
SESUG 2018 Introduction to Data-driven Programming Using SAS Kirk Paul Lafler source 22
SESUG 2018 Reducing the Length of Character Variables in a SAS Data Set Bruce F. Gilsen source 10
SESUG 2018 Reducing the Space Requirements of SAS Data Sets without Sacrificing any Variables or Observations Stephen B. Sloan source 6
SESUG 2018 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 4
MWSUG 2018 A Quick Look at Fuzzy Matching Programming Techniques Using SAS Software Kirk Paul Lafler,
Stephen B. Sloan		 28
MWSUG 2018 Purrfectly Fabulous Feline Functions Louise S. Hadden 15
MWSUG 2018 The Baker Street Irregulars Investigate: Discoveries Using Perl Regular Expressions and SAS Peter W. Eberhardt 33
MWSUG 2018 What's the Difference? Using the PROC COMPARE to find out. Larry Riggen 19
WUSS 2018 A Macro to Avoid P21 FDAC036 Error Message for Regulatory Submission Datasets Venkata Madhira,
Prabhakara Rao Burma		 source 3
WUSS 2018 A Survey of Some of the Most Useful SAS Functions Ronald P. Cody source 16
WUSS 2018 Efficient Use of Disk Space in SAS Application Programs Thomas E. Billings source 14
WUSS 2018 Essential Programming Techniques Every SAS User Should Learn Kirk Paul Lafler source 26
WUSS 2018 From FREQing Slow to FREQing Fast: Facilitating a Four-Times-Faster FREQ with Divide-and-Conquer Parallel Processing Troy Martin Hughes source 22
WUSS 2018 Introduction to Data-driven Programming Using SAS Kirk Paul Lafler source 22
WUSS 2018 Purrfectly Fabulous Feline Functions Louise S. Hadden source 15
WUSS 2018 The Missing Link: A Robust Macro for Recoding General Missing Data Values Hunter Glanz,
Joshua M. Horstman		 source 6
PHUSE US 2018 Define-XML Value-level Metadata Coding and Naming Guidance Charles Sowers source
presentation source		 3
PHUSE US 2018 UTF What? A Guide for Handling SAS Transcoding Errors with UTF-8 Encoded Data [poster] Michael Stackhouse source 1
PharmaSUG 2018 Accessing the Metadata from Define-XML Lex Jansen source 44
PharmaSUG 2018 Automation of STDM dataset integration and ADaM dataset formation Rinki Jajoo,
William Wei		 source 11
PharmaSUG 2018 Discover the Deeper DATA Step Timothy J. Harrington source 14
PharmaSUG 2018 From FREQing Slow to FREQing Fast: Facilitating a Four-Times-Faster FREQ with Divide-and-Conquer Parallel Processing Troy Martin Hughes source 23
PharmaSUG 2018 Manipulating Statistical and Other Procedure Output to Get the Results That You Need Vincent DelGobbo source 37
PharmaSUG 2018 Pinching Off Your SAS Log: Adapting from Loquacious to Laconic Logs To Facilitate Near-Real Time Log Parsing, Performance Analysis, and Dynamic Data-Driven Design and Optimization Troy Martin Hughes source 26
PharmaSUG 2018 PK Data Explained Timothy J. Harrington source 9
PharmaSUG 2018 Preparing to Meet FDA Requirements for Submission of Standardized Data and Documentation Steven R. Kirby,
Mario Widel		 source 11
PharmaSUG 2018 Purrfectly Fabulous Feline Functions Louise S. Hadden source 15
PharmaSUG 2018 Tips and Fixes for Cross-Environment Batch Transfer of SAS Data Yun (Julie) Zhuo source 10
PharmaSUG 2018 UTF What? A Guide for Handling SAS Transcoding Errors with UTF-8 Encoded Data Michael Stackhouse,
Lavanya Pogula		 source 15
PharmaSUG 2018 What makes a good QC Programmer? Timothy J. Harrington source 8
SGF 2018 A Macro for Ensuring Data Integrity When Converting SAS Data sets Richard D. Langston source 6
SGF 2018 A Survey of Some of the Most Useful SAS Functions Ronald P. Cody source 16
SGF 2018 An Easier and Faster Way to Untranspose a Wide File Joe Matise,
Arthur S. Tabachneck,
Matthew J. Kastin,
Gerhard Svolba		 source 36
SGF 2018 Efficient Use of Disk Space in SAS Application Programs Thomas E. Billings source 14
SGF 2018 Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan,
Kirk Paul Lafler		 source 24
SGF 2018 Identifying Duplicate Variables in a SAS Data Set Bruce F. Gilsen source 15
SGF 2018 Manipulating Statistical and Other Procedure Output to Get the Results That You Need Vincent DelGobbo source 37
SGF 2018 The Baker Street Irregulars Investigate: Discoveries Using Perl Regular Expressions and SAS Lisa A. Mendez,
Peter W. Eberhardt		 source 33
SGF 2018 Understanding SAS K Functions Leo Liu source 23
SGF 2018 Using Maps with the JSON LIBNAME Engine in SAS Andrew Gannon source 6
SESUG 2017 A Software Toolkit for Data Management Kim Chantala,
Jean Robinson,
Helen Smith		 source 19
SESUG 2017 Dynamically Assigning Length to Transposed Variables Ethan Ritchie source 5
SESUG 2017 From FREQing Slow to FREQing Fast: Facilitating a Four-Times-Faster FREQ with Divide-and-Conquer Parallel Processing Troy Martin Hughes source 22
SESUG 2017 Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan,
Kirk Paul Lafler		 source 25
SESUG 2017 Identifying Duplicate Variables in a SAS Data Set Bruce F. Gilsen source 15
SESUG 2017 Pinching Off Your SAS Log: Adapting from Loquacious to Laconic Logs To Facilitate Near-Real Time Log Parsing, Performance Analysis, and Dynamic Data-Driven Design and Optimization Troy Martin Hughes source 25
SESUG 2017 Quality Control in SAS: Checking Input, Work, and Output Aaron Brown source 11
SESUG 2017 SAS Doesn't Store Dates Nat H. Wooding Jr. source 9
SESUG 2017 Tales from the Help Desk: Solutions to Common DATA Step Tasks Bruce F. Gilsen source 19
SCSUG 2017 Fuzzy Matching Programming Techniques Using SAS Software Kirk Paul Lafler,
Stephen B. Sloan		 source 25
SCSUG 2017 Text Mining on Donor's Conversation with Solicitors Harsh Gupta source 12
PHUSE EU 2017 EMA Policy 0070: Data Utility in Anonymized Clinical Study Reports (CSRs) Jean-Marc Ferran,
Sarah Nevitt		 source 23
PHUSE EU 2017 Reducing Dataset Merges with Data Driven Formats Paul Grimsey source
presentation source		 8
MWSUG 2017 DATA Step in SAS Viya: Essential New Features Jason Secosky 14
MWSUG 2017 Extraction and Use of Text Strings with SAS when Source exceeds the 32k String Length Limit John Schmitz 10
MWSUG 2017 From Device Text Data to a Quality Data Set Laurie Smith 6
MWSUG 2017 ISO 8601 and SAS: A Practical Approach Derek P. Morgan 9
MWSUG 2017 Macro that can Provide More Information for your Character Variables Ting Sa 7
MWSUG 2017 The Essentials of SAS Dates and Times Derek P. Morgan 20
WUSS 2017 A Quick Look at Fuzzy Matching Programming Techniques Using SAS Software Kirk Paul Lafler,
Stephen B. Sloan		 source 25
WUSS 2017 Creating Completely Automated Reports in SAS Using the ODS RTF Destination: Protect Your Results from Human Error Debra A. Goldman source 19
WUSS 2017 Importing CSV Data to All Character Variables Arthur L. Carpenter source 5
WUSS 2017 Pinching Off Your SAS Log: Shifting the Perception of "SAS Logs" from a Post Hoc Validation Used Haplessly and Often Too Late...to a Dynamic Quality Control That Drives Exception Handling and Program Flow Troy Martin Hughes source 26
PharmaSUG 2017 A Vivid and Efficient Way to Highlight Changes in SAS Dataset Comparison Jeff Xia,
Lugang Larry Xie,
Shunbing Zhao		 source 12
PharmaSUG 2017 Basic SDTM House-Keeping Emmy V Pahmer source 3
PharmaSUG 2017 Converting Non-Imputed Dates for SDTM Data Sets With PROC FCMP Noory Y. Kim source 12
PharmaSUG 2017 Importing CSV Data to All Character Variables Arthur L. Carpenter source 5
PharmaSUG 2017 Preparing Analysis Data Model (ADaM) Data Sets and Related Files for FDA Submission Sandra Minjoe source 12
PharmaSUG 2017 Remove the Error: Variable length is too long for actual data Eric Larson source 9
PharmaSUG 2017 SAS and ISO8601: A practical approach Derek P. Morgan source 10
PharmaSUG 2017 The REPORT Procedure and ODS Destination for Microsoft Excel: The Smarter, Faster Way to Create First-Rate Excel Reports Jane Eslinger source 20
SGF 2017 A Survey of Some of the Most Useful SAS Functions Ronald P. Cody source 16
SGF 2017 DATA Step in SAS Viya: Essential New Features Jason Secosky source 14
SGF 2017 Designing for Performance: Best Practices for SAS Visual Analytics Reports Kerri Rivers source 19
SGF 2017 Formats Are Your Friends Anita Measey,
Lei Sun		 source 9
SGF 2017 Go Ahead and _BREAK_-down: Advanced COMPUTE Block Examples Cynthia L. Zender source
zip		 30
SGF 2017 Going Green With Your SAS Applications Michael A. Raithel source 17
SGF 2017 If You Have to Process Difficult Characters: UTF-8 Encoding and SAS Frank Poppe source 12
SGF 2017 Instant Formats in a Blink with PROC FORMAT CNTLIN= Christopher J. Boniface source 6
SGF 2017 ODS TAGSETS.EXCELXP and ODS EXCEL Showdown Christopher J. Boniface source 6
SGF 2017 Preparing Analysis Data Model (ADaM) Data Sets and Related Files for FDA Submission with SAS Sandra Minjoe,
John K. Troxell		 source 12
SGF 2017 SAS and UTF-8: Ultimately the Finest. Your Data and Applications Will Thank You! Elizabeth Bales,
Wei Zheng		 source 18
SGF 2017 SAS Macros for Binning Predictors with a Binary Target Bruce S. Lund source 13
SGF 2017 String Search in SAS Visual Analytics Records Robbert Rahamat source 4
SGF 2017 Tales from the Help Desk: Solutions to Common DATA Step Tasks Bruce F. Gilsen source 19
SGF 2017 The REPORT Procedure and ODS Destination for Microsoft Excel: The Smarter, Faster Way to Create First-Rate Excel Reports Jane Eslinger source 20
SGF 2017 Using Text Analysis to Improve the Quality of Scoring Models with SAS Enterprise Miner Piotr Małaszek source 11
SGF 2017 Writing SAS Code on the Fly Using SAS Code as Character Variables Peter Timusk source 4
SCSUG 2016 Time Saver for All: A Macro Toolbox Philip Jou source 20
SCSUG 2016 Using INFILE and INPUT Statements to Introduce External Data into the SAS System Andrew T. Kuligowski source 18
SESUG 2016 Converting Non-Imputed Partial Dates (for SDTM Data Sets) Using PROC FCMP Noory Y. Kim source 8
SESUG 2016 Cover Your Assumptions with Custom %str(W)ARNING Messages Shane Rosanbalm source 7
SESUG 2016 I See de Codes: Using SAS to Process and Analyze ICD-9 and ICD-10 Diagnosis Codes Found in Administrative Healthcare Data Kathy Hardis Fraeman source 9
SESUG 2016 Some _FILE_ Magic Michael S. Zdeb source 7
SESUG 2016 Sorting a Bajillion Records: Conquering Scalability in a Big Data World Troy Martin Hughes source 29
SESUG 2016 Universal File Flattener David A. Vandenbroucke source 12
PHUSE EU 2016 How Macro Design and Program Structure Impact GPP (Good Programming Practice) in TFL Coding Galyna Repetatska source
presentation source		 8
MWSUG 2016 Importing CSV Data to All Character Variables Arthur L. Carpenter 5
MWSUG 2016 Solving Common PROC SQL Performance Killers when using ODBC John Schmitz 11
MWSUG 2016 Sorting a Bajillion Records: Conquering Scalability in a Big Data World Troy Martin Hughes 29
WUSS 2016 Building and Using User Defined Formats Arthur L. Carpenter source 11
WUSS 2016 Errors, Warnings, and Notes (Oh My) A Practical Guide to Debugging SAS Programs Lora D. Delwiche,
Susan J. Slaughter		 source 16
WUSS 2016 Indenting with Style Bill Coar source 7
WUSS 2016 SAS Jeopardy Natasha Chapman 46
WUSS 2016 Sorting a Bajillion Records: Conquering Scalability in a Big Data World Troy Martin Hughes source 29
WUSS 2016 The Power of the Function Compiler: PROC FCMP Christina Garcia,
Cal Poly San Luis Obispo		 source 9
WUSS 2016 The REPORT Procedure: A Primer for the Compute Block Jane Eslinger source 23
PharmaSUG 2016 A Data Preparation Primer: Getting Your Data Ready for Submission Janet E. Stuelpner source 3
PharmaSUG 2016 A Practical Approach to Re-sizing Character Variable Lengths for FDA Submission Datasets (both SDTM and ADaM) Xiangchen (Bob) Cui,
Min Chen		 source 19
PharmaSUG 2016 Building and Using User Defined Formats Arthur L. Carpenter source 11
PharmaSUG 2016 Quick and Efficient Way to Check the Transferred Data Divyaja Padamati source 6
PharmaSUG 2016 SAS Functions You May Have Been MISSING Mira Shapiro source 8
PharmaSUG 2016 SAS Techniques for Managing Large Datasets Rucha Landge source 7
PharmaSUG 2016 SDTM Metadata: The Output is only as Good as the Input Sue Sullivan source 9
SGF 2016 A Survey of Some of the Most Useful SAS Functions Ronald P. Cody source 16
SGF 2016 Building and Using User Defined Formats Arthur L. Carpenter source
zip		 11
SGF 2016 Can You Read This into SAS for Me? Using INFILE and INPUT to Load Data into SAS Peter W. Eberhardt,
Audrey Yeo		 source 20
SGF 2016 Greenspace: A Macro to Improve a SAS Data Set Footprint Brian K. Varney source 7
SGF 2016 How to STRIP Your Data: Five Go-To Steps to Assure Data Quality Michael Santema,
Fagen Xie		 source 6
SGF 2016 Masking Data to Obscure Confidential Values: A Simple Approach Bruce F. Gilsen source 19
SGF 2016 Missing Values: They Are NOT Nothing Justin Jia,
Shan Shan Lin		 source 19
SGF 2016 PROC SQL for SQL Die-hards Barbara Ross,
Mary Jessica Bennett		 source 9
SGF 2016 Proposing a Recommendation System for DonorsChoose.org Heramb Joshi,
Goutam Chakraborty,
Sandeep Chittoor,
Vignesh Dhanabal,
Sharat Dwibhasi		 source 21
SGF 2016 Sorting a Bajillion Records: Conquering Scalability in a Big Data World Troy Martin Hughes source
presentation		 29
SGF 2016 Transformers: Revenge of the PROCs Faron Kincheloe source 11
SGF 2016 Universal File Flattener David A. Vandenbroucke source
zip		 15
SGF 2016 Using the REPORT Procedure to Export a Big Data Set to an External XML File Guihong Chen source
zip
presentation		 11
SCSUG 2015 Coding Tips from Too Many Years of Programming Jimmy A. DeFoor source 17
SCSUG 2015 Essential Data Step Merge and PROC SQL Join Techniques using SAS University Edition Software Charles E. Shipp source 8
SCSUG 2015 Reassigning Character/Numeric Variables length across multiple datasets for Efficiency and Consistency Srinivas Vanam,
Phaneendhar Reddy Vanam,
Mahipal Vanam		 source 12
MWSUG 2015 'V' for ... Variable Information Functions to the Rescue Richann J. Watson,
Karl Miller		 16
MWSUG 2015 Essential DATA Step Merge Techniques Using SAS University Edition Software Kirk Paul Lafler,
Charles E. Shipp		 8
MWSUG 2015 Fitting and Evaluating Logistic Regression Models Bruce S. Lund 26
MWSUG 2015 Greenspace: A Macro to Improve a SAS Data Set Footprint Brian K. Varney 6
MWSUG 2015 Let SAS Cleanse Your Dirty Data Kaushal Chaudhary,
Deanna Naomi Schreiber-Gregory		 13
MWSUG 2015 The REPORT Procedure: A Primer for the Compute Block Jane Eslinger 23
PHUSE EU 2015 Clinical data to information, quick, standardised and validated with knowledge of proc FCMP Cathal Gallagher source
presentation source		 7
PHUSE EU 2015 Data Encoding:All Characters for All Countries Donna Dutton source
presentation source		 12
PHUSE EU 2015 Dataset-XML - A New CDISC Standard for Data Exchange Julie A. Maddox,
Lex Jansen		 source
presentation source		 16
PHUSE EU 2015 Enhance and Enrich your Plots Using Graph Template Language (GTL) Mathias Lebreton source
presentation source		 17
PHUSE EU 2015 Fun with Formats Sarah Berenbrinck source
presentation source		 7
PHUSE EU 2015 Industry Standard for Good Programming Practices: Benefits and Implementation Mark Foxwell,
Kate Peacock		 source
presentation source		 6
PHUSE EU 2015 PHUSE De-identification Working Group: Providing identification Standards to CDISC Data Models Jean-Marc Ferran,
Khaled El Eman		 source
presentation source		 13
PHUSE EU 2015 Slim Down Your Data Mickael Borne source
presentation source		 10
SESUG 2015 A Survey of Some of the Most Useful SAS Functions Ronald P. Cody source 16
SESUG 2015 All Data Are (Most Likely) Not Created Equal: A SAS Macro to Compare Structure and Data Across Multiple Datasets Jason L. Salemi source 13
SESUG 2015 Automating Preliminary Data Cleaning in SAS Alec Zhixiao Lin source 5
SESUG 2015 Greenspace: A Macro to Improve a SAS Data Set Footprint Brian K. Varney,
Experis Business Intelligence		 source 6
SESUG 2015 Masking Data to Obscure Confidential Values: A Simple Approach Bruce F. Gilsen source 19
SESUG 2015 Tales from the Help Desk 6: Solutions to Common SAS Tasks Bruce F. Gilsen source 11
WUSS 2015 Building and Using User Defined Formats Arthur L. Carpenter source 10
WUSS 2015 ODS Output Data Sets That Work for You Stuart D. Long,
Edward Heaton,
Daniel R. Scharf		 source 29
PharmaSUG CN 2015 A Macro to Add Variables to SDTM Standard Domains Xianhua Zeng 5
PharmaSUG CN 2015 Fifty Shades of Sorting Haibin Shu,
Elena Rojco,
John He		 6
PharmaSUG CN 2015 SAS Tools for Working with Dataset-XML files Lex Jansen 18
PharmaSUG 2015 A Simple Macro to Select Various Variables Lists Ting Sa,
Yanhong Liu		 source 5
PharmaSUG 2015 Getting Rid of Bloated Data in FDA Submissions Ben E. Bocchicchio,
Frank L. Roediger		 source 8
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 PhUSE De-Identification Working Group: Providing De-Identification Standards to CDISC Data Models Jean-Marc Ferran,
Jacques Lanoue		 source 8
PharmaSUG 2015 SAS Tools for Working with Dataset-XML files Lex Jansen source 18
PharmaSUG 2015 The REPORT Procedure: A Primer for the Compute Block Jane Eslinger source 23
PharmaSUG 2015 Using INFILE and INPUT Statements to Introduce External Data into SAS Andrew T. Kuligowski source 18
SGF 2015 Can You Read This into SAS for Me? Using INFILE and INPUT to Load Data into SAS Peter W. Eberhardt,
Audrey Yeo		 source 20
SGF 2015 CHARACTER DATA: Acquisition, Manipulation, and Analysis Andrew T. Kuligowski,
Swati Agarwal		 source 13
SGF 2015 Forest Plotting Analysis Macro %FORESTPLOT Jeffrey P. Meyers,
Qian Shi		 source 18
SGF 2015 Inside the DATA Step: Pearls of Wisdom for the Novice SAS Programmer Joshua M. Horstman,
Britney D. Gilbert		 source 11
SGF 2015 Kaplan-Meier Survival Plotting Macro %NEWSURV Jeffrey P. Meyers source 20
SGF 2015 Preparing Students for the Real World with SAS Studio AnnMaria De Mars source 18
SGF 2015 Some of the Most Useful SAS Functions Ronald P. Cody source 16
SGF 2015 The Essentials of SAS Dates and Times Derek P. Morgan source
zip		 18
SGF 2015 The REPORT Procedure: A Primer for the Compute Block Jane Eslinger source 23
SGF 2015 Tips and Techniques for Efficiently Updating and Loading Data into SAS Visual Analytics Kerri L. Rivers,
Christopher Redpath		 source 13
SGF 2015 Understanding Characteristics of Insider Threats by Using Feature Extraction Ila Gokarn,
Clifton Phua		 source 14
SGF 2015 Will You Smell Smoke When Your Data Is on Fire? The SAS Smoke Detector: A Scalable Quality Control Dashboard for Transactional and Persistent Data Troy Martin Hughes source 25
SCSUG 2014 Conditional Processing Using the Case Expression in PROC SQL Kirk Paul Lafler 8
SESUG 2014 The Nuances of Combining Hospital Data Jontae Sanders,
Charlotte Baker,
C. Perry Brown		 source 5
SESUG 2014 This is the Modern World: Simple, Overlooked SAS Enhancements Bruce F. Gilsen source 15
SESUG 2014 VBScript-Driven Automation in SAS : A Macro to Update Text in a Microsoft Word Document at Preset Bookmarks Shayala Williams Gibbs source 4
PHUSE EU 2014 Define your Own SAS Functions for Date and Numeric Validation using PROC FCMP Jason Smith source
presentation source		 5
MWSUG 2014 'V' for ... Variable Information Functions to the Rescue Richann J. Watson,
Karl Miller		 16
MWSUG 2014 Ignorance is Not Bliss: Pearls of Wisdom for the Novice SAS Programmer Joshua M. Horstman,
Britney D. Gilbert		 9
MWSUG 2014 Kaplan-Meier Survival Plotting Macro %NEWSURV Jeffrey P. Meyers 20
MWSUG 2014 Sailing Over the ACROSS Hurdle in PROC REPORT Cynthia L. Zender 16
MWSUG 2014 SAS 101 For Newbies--Not Too Little, Not Too Much--Just Right Ira Shapiro 42
MWSUG 2014 SAS: Data Manipulation Tools Audrey Yeo 12
MWSUG 2014 Will You Smell Smoke When Your Data Are on Fire? The SAS Smoke Detector: Installing a Scalable Quality Control Dashboard for Transactional and Persistent Data Troy Martin Hughes 25
MWSUG 2014 Working with Character Data Andrew T. Kuligowski,
Swati Agarwal		 8
PharmaSUG CN 2014 Marco free automation to identify and drop variables with all values as missing Vamse Goutam 5
PharmaSUG CN 2014 SAS2VBA2SAS: Automated solution to string truncation in PROC IMPORT excel Amarnath Vijayarangan 6
WUSS 2014 A Survey of Some of the Most Useful SAS Functions Ronald P. Cody source 16
WUSS 2014 Automation of Appending Reports: A Sexy New Look Bill Coar source 14
WUSS 2014 Dealing with Missing Data in Clinical Trials Lucheng Shao source 12
WUSS 2014 Macro free automation to identify and drop variables with all values as missing Amarnath Vijayarangan,
Vamse Goutam		 source 5
WUSS 2014 Paperwork Without Tears: Completing Your Reporting Requirements in 10 Easy Steps AnnMaria De Mars source 17
WUSS 2014 Quick Tips on Powerful use of Arrays Rahul Pillay source 8
WUSS 2014 Reassigning character variable lengths across multiple datasets for Efficiency and Consistency Srinivas Vanam,
Phaneendhar Reddy Vanam,
Mahipal Vanam		 source 7
WUSS 2014 The Essentials of SAS Dates and Times Derek P. Morgan source 17
PharmaSUG 2014 'V' for ... Variable Information Functions to the Rescue Richann J. Watson,
Karl Miller		 source 15
PharmaSUG 2014 Adopted Changes for SDTMIG v3.1.3 and 2013 OpenCDISC Upgrades Yi Liu,
Stephen Read		 source 17
PharmaSUG 2014 Automation of Appending TLFs William Coar source 10
PharmaSUG 2014 BreakOnWord: A Macro for Partitioning Long Text Strings at Natural Breaks Richard Addy,
Charity Quick		 source 8
PharmaSUG 2014 CDISC Electronic Submission Kevin Lee source 6
PharmaSUG 2014 Dealing with Missing Data in Clinical Trials Lucheng Shao source 13
PharmaSUG 2014 DefKit : A Micro Framework for CDISC Define-XML Application Development Lei Zhang source 23
PharmaSUG 2014 Functioning at a Higher Level: Using SAS Functions to Improve Your Code Peter W. Eberhardt,
Lucheng Shao		 source 12
PharmaSUG 2014 Kaplan-Meier Survival Plotting Macro %NEWSURV Jeffrey P. Meyers source 19
PharmaSUG 2014 QC made easy using macros Prashanthi Selvakumar source 7
PharmaSUG 2014 Reducing Variable Lengths for Submission Dataset Size Reduction Sandra VanPelt Nguyen source 6
PharmaSUG 2014 So You're Still Not Using PROC REPORT. Why Not? Ray Pass,
Daphne E. Ewing		 source 14
SGF 2014 A Note on Type Conversions and Numeric Precision in SAS: Numeric to Character and Back Again Andrew W. Clapson source 4
SGF 2014 A Survey of Some of the Most Useful SAS Functions Ronald P. Cody source 16
SGF 2014 Direct Memory Data Management Using the APP Tools Paul M. Dorfman source 18
SGF 2014 Errors, Warnings, and Notes (Oh My) A Practical Guide to Debugging SAS Programs Lora D. Delwiche,
Susan J. Slaughter		 source 15
SGF 2014 Model Variable Selection Using Bootstrap Decision Tree David J. Corliss source 7
SGF 2014 Sailing Over the ACROSS Hurdle in PROC REPORT Cynthia L. Zender source
zip		 16
SGF 2014 Star Wars and the Art of Data Science: An Analytical Approach to Understanding Large Amounts of Unstructured Data Adam Maness,
Mary Osborne		 source 28
SGF 2014 Tips to Use Character String Functions in Record Lookup Anjan Matlapudi source 12
SGF 2014 What You're Missing About Missing Values Christopher J. Bost source 11
SGF 2014 Working with Character Data Andrew T. Kuligowski,
Swati Agarwal		 source 8
WUSS 2013 Implementation of DEFINE.XML Generators using SAS Hash Objects and User-Defined Functions Lei Zhang source 19
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 PEEKing at Roadway Segments Carol A. Martell source 12
SESUG 2013 Summarizing Character Variables Using SAS Proc Report Priya Suresh,
Elizabeth Heath		 source 5
SESUG 2013 Taming a Spreadsheet Importation Monster Nat H. Wooding Jr. source 6
SESUG 2013 Winning the War on Terror with Waffles: Maximizing GINSIDE Efficiency for Blue Force Tracking Big Data Blue Force Tracking Big source 19
PHUSE EU 2013 EXACT - A Metadata Driven System for Creating Standard Mockups and Data Displays [presentation] Kent Letourneau source 55
PHUSE EU 2013 Proc Import Diagnostic Macro Shan Lee source
presentation source		 8
PHUSE EU 2013 What's in it? SAS Arrays to Check Efficiently for Emptiness of Variables and Datasets [presentation] Guillaume Godin source 35
PHUSE EU 2013 Your SAS Secrets Exposed! [presentation] David Weiner source 19
MWSUG 2013 A Better Way to Flip (Transpose) a SAS Data Set Arthur S. Tabachneck,
Xia Ke Shan,
Robert Virgile,
Joe Whitehurst		 22
MWSUG 2013 Copy and Paste from Excel to SAS Arthur S. Tabachneck,
Matthew J. Kastin		 4
NESUG 2013 A Survey of Some of the Most Useful SAS Functions Ronald P. Cody 16
NESUG 2013 Dropping variables from a large SAS data set when all their values are missing Gwen Babcock 13
NESUG 2013 Model Variable Selection Using Bootstrapped Decision Tree David J. Corliss 8
NESUG 2013 Picturing Your Character Variables with PROC FORMAT and SAS 9.3 Brice Hart 5
NESUG 2013 The SAS Data Set Compressor Application Yonghong Shang,
Barbara Gustavson		 9
NESUG 2013 The Smarts of Using Dummies Patricia Meholick 4
PharmaSUG 2013 Conditional Processing Using the Case Expression in PROC SQL Kirk Paul Lafler source 8
PharmaSUG 2013 Handling Dynamic Variable Types in SAS Venkat Lajapathirajan source 7
PharmaSUG 2013 Some Strategies for Validating Your Data before Submission Frank L. Roediger,
Sandeep Juneja		 source 8
PharmaSUG 2013 The SAS Data Step: Where Your Input Matters Peter W. Eberhardt source 18
PharmaSUG 2013 Why the Bell Tolls 108 times? Stepping Through Time with SAS Peter W. Eberhardt source 12
SGF 2013 30 in 20 Things You May Not Know about SAS Tim Berryhill source 8
SGF 2013 A Better Way to Flip (Transpose) a SAS Data Set Arthur S. Tabachneck,
Joe Whitehurst,
Robert Virgile,
Xia Ke Shan		 source 21
SGF 2013 A Row Is a Row Is a Row, or Is It? A Hands-On Guide to Transposing Data Christianna S. Williams source 16
SGF 2013 Data Fitness: A SAS Macro-based Application for Data Quality of Large Health Administrative Data Mahmoud Azimaee source 12
SGF 2013 Developer Reveals: Extended Data Set Attributes Diane Olson source 9
SGF 2013 Errors, Warnings, and Notes (Oh My) A Practical Guide to Debugging SAS Programs Lora D. Delwiche,
Susan J. Slaughter		 source 15
SGF 2013 Horizontal Data Sorting and Insightful Reporting: A Useful SAS Technique Amanda Lin,
Justin Jia		 source 14
SGF 2013 Reading an Excel Spreadsheet with Cells Containing Line Endings Larry Hoyle source 6
SGF 2013 SAS Data Management Techniques: Cleaning and Transforming Data for Delivery of Analytic Data Sets Christopher W. Schacherer source 38
SGF 2013 SASY Codes for Lazy people Prashanthi Selvakumar source 5
SGF 2013 So You're Still Not Using PROC REPORT. Why Not? Daphne E. Ewing,
Ray Pass		 source 14
SGF 2013 This is the Modern World: Simple, Overlooked SAS Enhancements Bruce F. Gilsen source 12
SGF 2013 Why the Bell Tolls 108 times? Stepping Through Time with SAS Peter W. Eberhardt source
pdf		 12
NESUG 2012 A Macro to Squeeze SAS Data and Create a SAS Transport File Hany Aboutaleb 11
NESUG 2012 A Survey of Some of the Most Useful SAS Functions Ronald P. Cody 16
NESUG 2012 Careful Use of Input Delimiters Howard L. Schreier 4
NESUG 2012 Loop-Do-Loop Around Arrays Wendi L. Wright 17
NESUG 2012 Mimicking the DATA Step Dash and Double Dash in PROC SQL Arlene Amodeo 24
NESUG 2012 Some _FILE_ Magic Michael S. Zdeb 7
NESUG 2012 Sorting a Large Data Set When Space is Limited Selvaratnam Sridharma 4
NESUG 2012 Use the Full Power of SAS in Your Function-Style Macros Michael D. Rhoads 10
SCSUG 2012 SAS Data Management Techniques: Cleaning and Transforming Data for Delivery of Analytic Data Sets Christopher W. Schacherer source 38
SCSUG 2012 SAS Dates: Facts, Formats, and Functions Debbie Buck source 8
SCSUG 2012 The SAS Data Step: Where Your Input Matters Peter W. Eberhardt source 18
SESUG 2012 ODS Output Data Sets That Work for You Stuart D. Long,
Edward Heaton,
Daniel R. Scharf		 source 29
SESUG 2012 The ADDR-PEEK-POKE Capsule: Transporting Data Within Memory and Between Memory and the PDV Paul M. Dorfman source 18
SESUG 2012 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 Creating a SAS Frequency Data Set of Valid Categorical Variables for Export to Microsoft Excel or Access Neil Kamdar 7
MWSUG 2012 Innovative Techniques: Doing More with Loops and Arrays Arthur L. Carpenter 14
MWSUG 2012 Making it Add Up; Diagnosing Merge Issues Using PROC SQL and Simple Arithmetic Eric Schreiber 6
MWSUG 2012 New Vs. Old - Under the Hood with Procs CONTENTS and COMPARE Patricia Hettinger 12
MWSUG 2012 SAS Data Management Techniques: Cleaning and Transforming Data for Delivery of Analytic Data Sets Christopher W. Schacherer 38
MWSUG 2012 Swimming with Sharks: Using Formats with Summary Data Tom Bugg 8
MWSUG 2012 The SAS Data Step: Where Your Input Matters Peter W. Eberhardt 18
MWSUG 2012 Using INFILE and INPUT Statements to Introduce External Data into SAS Andrew T. Kuligowski 18
MWSUG 2012 Why the Bell Tolls 108 times? Stepping Through Time with SAS Peter W. Eberhardt 15
WUSS 2012 Biology research data cleaning technical Kai Yang source 12
WUSS 2012 I Hate Typing Variable Names Mark Kirkham source 4
WUSS 2012 Innovative Techniques: Doing More with Loops and Arrays Arthur L. Carpenter source 14
WUSS 2012 SAS Programming Basics: Producing Results from Your Data Helen D. Carey source 16
WUSS 2012 SAS Rule-Based Codebook Generation for Exploratory Data Analysis Ross Bettinger source 8
WUSS 2012 The SAS Data Step: Where Your Input Matters Peter W. Eberhardt,
Lucheng Shao		 source 18
PharmaSUG CN 2012 Why the Bell Tolls 108 times? Stepping Through Time with SAS Peter W. Eberhardt 15
PharmaSUG 2012 "V" Can Transpose: Transposing Data Sets Using Functions Nehan Mohan source 4
PharmaSUG 2012 A Macro to Indent and Hyphenate Lengthy Text in PROC REPORT Stanley Yuen source 5
PharmaSUG 2012 Atypical Applications of Proc Transpose John Henry King source 14
PharmaSUG 2012 Comparing Datasets: Using PROC COMPARE and Other Helpful Tools Deb Cassidy source 9
PharmaSUG 2012 Determining and Reporting Significant Decimal Places for Continuous Data in Mixed Form Gary E. Moore source 6
PharmaSUG 2012 Don't Gamble with Your Output: How to Use Microsoft Formats with ODS Cynthia L. Zender source 30
PharmaSUG 2012 Efficiently Trim Character Variable Lengths to Fit Data, Reduce Dataset Size Wayne (Weizhen) Zhong source 7
PharmaSUG 2012 Innovative Techniques: Doing More with Loops and Arrays Arthur L. Carpenter source 13
PharmaSUG 2012 One Macro Call to a Table with both Frequency and Summary Elements from a Subject-Level Dataset Wayne (Weizhen) Zhong source 9
PharmaSUG 2012 Perl Regular Expressions in SAS 9.1+ - Practical Applications Joel Campbell source 4
PharmaSUG 2012 The SAS Data Step: Where Your Input Matters Peter W. Eberhardt source 18
PharmaSUG 2012 The Use and Abuse of the Program Data Vector James R. Johnson source 23
PharmaSUG 2012 Using the SAS System as a bioinformatics tool: a macro that calls the standalone Basic Local Alignment Search Tool (BLAST) setup Kevin R. Viel source 8
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
PharmaSUG 2012 Why the Bell Tolls 108 times? Stepping Through Time with SAS Peter W. Eberhardt source 15
SGF 2012 A Macro to Summarize and Generate a Report of Variables on a SAS Data Set Greg A. Grandits,
Greg Thompson		 source 4
SGF 2012 A Survey of Some of the Most Useful SAS Functions Ronald P. Cody source 16
SGF 2012 Combine Data Sets Using Inexact Character Variables in SAS Kulwant Rai source 12
SGF 2012 Leave Your Bad Code Behind: 50 Ways to Make Your SAS Code Execute More Efficiently William E. Benjamin Jr. source 22
SGF 2012 Matching Data Using Sounds-Like Operators and SAS Compare Functions Amanda Roesch source 11
SGF 2012 My Friend the SAS Format Andrew H. Karp source 12
SGF 2012 SAS Dates: Facts, Formats, and Functions Debbie Buck source 8
SGF 2012 Straight from Memory: ADDR, PEEK, POKE as SAS Programming Tools Paul M. Dorfman,
William W. Viergever		 source 18
SGF 2012 The Use and Abuse of the Program Data Vector James R. Johnson source 23
SGF 2012 Use the Full Power of SAS in Your Function-Style Macros Michael D. Rhoads source 10
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 Don't Gamble with Your Output: How to Use Microsoft Formats with ODS Cynthia L. Zender source 30
SCSUG 2011 The Top 10 Head Scratchers: SAS Log Messages That Prompt a Call to SAS Technical Support Kim M. Wilson source 9
SESUG 2011 From Obscurity to Utility: ADDR, PEEK, POKE as DATA Step Programming Tools Paul M. Dorfman,
Lessia S. Shajenko		 source 18
SESUG 2011 Misquoting Jane Austen in the Name of Quality Assurance Deborah Posner source 11
SESUG 2011 PROC COMPARE - Worth Another Look! Christianna S. Williams source 25
SESUG 2011 The Little Engine That Could: Using LIBNAME Engine Options to Enhance Data Transfers Between SAS and Microsoft Excel Files William E. Benjamin Jr. source 10
SESUG 2011 The SAS Magical Dictionary Tour Linda Libeg source 12
SESUG 2011 Using SAS Variable Lists Effectively Howard L. Schreier source 20
SESUG 2011 Why the Bell Tolls 108 times? Stepping Through Time with SAS Peter W. Eberhardt,
Yunbo Sun		 source 15
WUSS 2011 An Introduction to SAS Character Functions Ronald P. Cody source 17
WUSS 2011 Conditional Processing Using the Case Expression in PROC SQL Kirk Paul Lafler source 8
WUSS 2011 Is Your SAS Library a Disk Hog? Here's How to Put it on a Diet Ross Bettinger source 6
WUSS 2011 Output SAS DATA Step Views: an Experimental Feature Thomas E. Billings source 9
WUSS 2011 SAS Essentials II: Better-Looking SAS for a Better Community AnnMaria De Mars source 17
WUSS 2011 Using PROC CONTENTS and a Macro to Convert Internal Data Values to their Associated Format Values Mary F. O. Rosenbloom,
Edwards Lifesciences		 source 5
PHUSE EU 2011 Considerations for improving program performance Martin Gregory source 7
PHUSE EU 2011 Missing Values in SAS Magnus Mengelbier source
presentation source		 11
MWSUG 2011 Clearing Hurdles in Report Optimization: Custom Sorting Macros, Traffic-lighting Entire Rows, and Forcing SAS Formats into Microsoft Excel Jacob Serafino,
Mitch Weiler,
Asha Jayaprakash		 9
MWSUG 2011 Creating Metadata-Driven Program Logic with the SAS Call Execute Routine - An Example with CTC Grading of Laboratory Results Robert W. Graebner 8
MWSUG 2011 Data Quality Review for Missing Values and Outliers Ying Guo,
Bradford J. Danner		 9
MWSUG 2011 The Essentials of SAS Dates and Times Derek P. Morgan 16
MWSUG 2011 Using SAS Arrays to Manipulate Data Ben Cochran 11
NESUG 2011 Applying INVALUE STATEMENT in PROC FORMAT for Ordering Character Variables Prajitha Nair 8
NESUG 2011 Character Functions: A Hands-on Workshop Jason L. Ford 12
NESUG 2011 Common Sense Tips and Clever Tricks for Programming with Extremely Large SAS Data Sets Kathy Hardis Fraeman 8
NESUG 2011 From Shapefiles to Maps Via PROC MAPIMPORT and PROC GMAP Michael S. Zdeb 13
NESUG 2011 Matching Data Using Sounds-Like Operators and SAS Compare Functions Amanda Roesch 11
NESUG 2011 PROC COMPARE - Worth Another Look! Christianna S. Williams 26
NESUG 2011 The Top 10 Head Scratchers: SAS Log Messages That Prompt a Call to SAS Technical Support Kim M. Wilson 9
NESUG 2011 Tips to Use Character String Functions in Record Lookup Anjan Matlapudi 12
NESUG 2011 Why Programming Efficiency Should Matter to All of Us John J. Cohen 15
PharmaSUG 2011 Data Quality Review for Missing Values and Outliers Ying Guo,
Bradford J. Danner		 source 8
PharmaSUG 2011 Don't Gamble with Your Output: How to Use Microsoft Formats with ODS Cynthia L. Zender source 30
PharmaSUG 2011 Leave Your Bad Code Behind: 50 Ways to Make Your SAS Code Execute More Efficiently William E. Benjamin Jr. source 20
PharmaSUG 2011 Perl Regular Expressions: Out of the Oyster, Into Your Code Eric Larson source 7
PharmaSUG 2011 Run your reports through that last loop to standardize the presentation attributes Niraj J. Pandya source 6
PharmaSUG 2011 Smart Import/Append Data in Excel Sheets Zhengping Ma,
Liping Liu		 source 8
PharmaSUG 2011 SYMply PUT: GET the most out of SYMPUTX and SYMGETN Robert Howard source 4
SGF 2011 A Macro to Modify Attributes for All Character Variables in SAS Data Sets Suresh B. Kadaru source 6
SGF 2011 Building a Good Foundation with Functions Deb Cassidy source 10
SGF 2011 Don't Gamble with Your Output: How to Use Microsoft Formats with ODS Cynthia L. Zender source 30
SGF 2011 Finding Your Way through the Wilderness: Moving Data from Text Files to SAS Data Files Charles E. Mullin source 15
SGF 2011 If Its 18722 Then This Must Be SAS Global Forum: An Introduction to SAS Dates Peter W. Eberhardt source 13
SGF 2011 Making Cube Drill-Through-to-Detail More Detailed Gloria M. Faley source 12
SGF 2011 ODS Output Data Sets That Work for You Stuart D. Long,
Edward Heaton,
Daniel R. Scharf		 source 29
SGF 2011 So You're Still Not Using PROC REPORT. Why Not? Ray Pass,
Daphne E. Ewing		 source 14
SGF 2011 The Little Engine That Could: Using LIBNAME Engine Options to Enhance Data Transfers Between SAS and Microsoft Excel Files William E. Benjamin Jr. source 10
SGF 2011 The Top 10 Head Scratchers: SAS Log Messages That Prompt a Call to SAS Technical Support Kim M. Wilson source 9
SGF 2011 To FREQ, Perchance to MEANS Christopher J. Bost source 10
SGF 2011 Turn Web Source Code into SAS Data in Two Easy Steps Ryan Massa-McKinley source 4
SGF 2011 Using SAS Formats: So Much More than "M" = "Male" Peter J. Lund source 14
NESUG 2010 Automatically Converting Character Variables That Store Numbers to Numeric Variables Christopher J. Bost 13
NESUG 2010 Date Conversions in SDTM and ADaM Datasets Lily Zhang,
Lili Chen,
Huei-Ling Chen		 8
NESUG 2010 How to Think Through the SAS DATA Step H. Ian Whitlock 17
NESUG 2010 Introduction to Character String Functions Jason L. Ford 12
NESUG 2010 Let SAS Write and Execute Your Data-Driven SAS Code Kathy Hardis Fraeman 5
NESUG 2010 Misquoting Jane Austen in the Name of Quality Assurance Deborah Posner 12
NESUG 2010 Non Printable & Special Characters: Problems and how to overcome them Sridhar R. Dodlapati,
Praveen Lakkaraju,
Naresh Tulluru,
Zemin Zeng		 13
NESUG 2010 PROC COMPARE - Worth Another Look! Christianna S. Williams 26
NESUG 2010 Reading MORE Difficult Raw Data Matthew Cohen 9
NESUG 2010 To FREQ, Perchance to MEANS Christopher J. Bost 11
SCSUG 2010 A SAS Primer for Health Care Data Analysts Christopher W. Schacherer source 24
WUSS 2010 An Introduction to SAS Character Functions Ronald P. Cody source 17
WUSS 2010 Check and Document Data Integrity with PROC DATASETS Patrick Thornton source 10
WUSS 2010 Creating Variables: Traps and Pitfalls Olena Galligan source 10
WUSS 2010 From Novice to Intermediate in (Approximately) Sixty Minutes: III. Presentation AnnMaria De Mars source 15
WUSS 2010 Tips for Constructing a Data Warehouse Part 2 Curtis A. Smith source 11
PHUSE EU 2010 An Animated Guide: the logical cascade throught the - Orres variable [poster] Russell M. Lavery source 13
PHUSE EU 2010 APPEND, EXECUTE and MACRO Jim Groeneveld source
presentation source		 7
PHUSE EU 2010 Facilitating Data Integration for Regulatory Submissions John R. Gerlach,
John Bowen		 source
presentation source		 8
PHUSE EU 2010 The Use of Meta Data in Creating, Transforming and Transporting Clinical Data Gregory C. Steffens source
presentation source		 9
PHUSE EU 2010 Working Efficiently with Large SAS Datasets Vishal Jain source
presentation source		 8
MWSUG 2010 A New Look at An Old Friend: Getting Reacquainted with Arrays Joe Novotny,
Paul Kollner		 13
MWSUG 2010 A SAS Primer for Health Care Data Analysts Christopher W. Schacherer,
Brent D. Westra		 24
MWSUG 2010 DATA Step and PROC SQL Programming Techniques Kirk Paul Lafler 14
MWSUG 2010 Errors, Warnings, and Notes (Oh My) A Practical Guide to Debugging SAS Programs Lora D. Delwiche,
Susan J. Slaughter		 15
MWSUG 2010 The SAS Data Step: Where Your Input Matters Peter W. Eberhardt 17
MWSUG 2010 Using a Few Key Elements of SAS DATA Step Code and a Couple of Procedures to Optimize the Observation Length of a Data Set Philip A. Wright 9
SESUG 2010 Evolve from a Carpenter's Apprentice to a Master Woodworker: Creating a Plan for Your Reports and Avoiding Common Pitfalls in REPORT Procedure Coding Allison McMahill Booth source 18
SESUG 2010 Fun With Functions Yogini Thakkar source 10
SESUG 2010 Leave Your Bad Code Behind: 50 Ways to Make Your SAS Code Execute More Efficiently William E. Benjamin Jr. source 20
PharmaSUG 2010 ADaM Dataset Checking Toolkit Huei-Ling Chen 9
PharmaSUG 2010 Facilitating Data Integration for Regulatory Submissions John R. Gerlach 9
PharmaSUG 2010 Non Printable & Special Characters: Problems and how to overcome them Sridhar R. Dodlapati,
Praveen Lakkaraju,
Naresh Tulluru,
Zemin Zeng		 13
PharmaSUG 2010 The Little Engine That Could: Using EXCEL LIBNAME Engine Options to Enhance Data Transfers between SAS and Microsoft Excel Files William E. Benjamin Jr. 10
SGF 2010 Data and Text Mining in SAS Warranty Analysis 4.2 Ned Maran,
Wei Huang		 source 13
SGF 2010 Evolve from a Carpenter's Apprentice to a Master Woodworker: Creating a Plan for Your Reports and Avoiding Common Pitfalls in REPORT Procedure Coding Allison McMahill Booth source 18
SGF 2010 More than Models: The Data Mining Team Stephanie R. Thompson source 6
SGF 2010 PROC COMPARE - Worth Another Look! Christianna S. Williams source 23
SGF 2010 So You're Still Not Using PROC REPORT. Why Not? Ray Pass,
Daphne E. Ewing		 source 14
SGF 2010 Space Management for Text Variables William C. Murphy source 5
SGF 2010 Tales from the Help Desk 4: Still More Solutions for Common SAS Mistakes Bruce F. Gilsen source 8
SGF 2010 Taming the Herd: Wrangling Unruly Text Files in SAS Taylor R. Young source 9
SGF 2010 The French Connection: Implementing a RAID Controller Algorithm in Base SAS Paul M. Dorfman,
Koen Vyverman		 source 18
SGF 2010 Using a Few Key Elements of SAS DATA Step Code and a Couple of Procedures to Optimize the Observation Length of a Data Set Philip A. Wright source 9
SGF 2010 Using Advanced Features of User-Defined Formats and Informats Ronald P. Cody source 21
SGF 2010 Using SAS Formats: So Much More than "M" = "Male" Peter J. Lund source 14
SGF 2010 Using SAS XML Mapper and SAS Enterprise Guide to Read Data and Metadata from an XML File Larry Hoyle source 34
SGF 2010 Using the Descriptor Portion of a SAS Data File Dragos D. Capan source 6
SGF 2010 Working with SAS Date and Time Functions Andrew H. Karp source 20
SCSUG 2009 An Introduction to SAS Character Functions (Including Some SAS 9 Functions) Ronald P. Cody 17
SESUG 2009 DATA Step versus PROC SQL Programming Techniques Kirk Paul Lafler source 14
SESUG 2009 From Obscurity to Utility: ADDR, PEEK, POKE as DATA Step Programming Tools Paul M. Dorfman source 21
SESUG 2009 Notes from an Intersection: Google Earth @ SAS Carol A. Martell source 17
SESUG 2009 SCL Is Gone: How Do I Get Variables from My Users into SAS Enterprise Guide? Patricia Hettinger source 12
PHUSE EU 2009 A Regular Expression is a Healthy Expression Paul Shannon source 11
PHUSE EU 2009 An Animated Guide: The Logical Cascade through the --ORRES Variable Russell M. Lavery source 12
PHUSE EU 2009 XML Managment Using SAS Marco Bertolino source 12
MWSUG 2009 Exploring DATA Step and PROC SQL Programming Techniques Kirk Paul Lafler 14
MWSUG 2009 Obtaining the Patient Most Recent Time-stamped Measurements Yubo Gao 6
MWSUG 2009 The SAS Data Step: Where Your Input Matters Peter W. Eberhardt 17
MWSUG 2009 Using SAS as an Archival Repository for DB2 under z/OS (or other DBMS) Rich Morris 22
MWSUG 2009 Using the Data Step's ATTRIB Statement to both Manage and Document Variables in a SAS Dataset (lightly) Philip A. Wright 8
PNWSUG 2009 A Demonstration of Different Approaches to Export Formulas into Excel Using SAS Collin Elliot 12
PNWSUG 2009 DATA Step versus PROC SQL Programming Techniques Kirk Paul Lafler 14
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 QC the Qualitative Part of Clinical Data in SAS Datasets Tse-Hua J. Shih,
Xitao Fan,
Cliff Meng,
Eugenia Henry		 5
NESUG 2009 Searching for Variable Values with CAT Functions: An Alternative to Arrays and Loops Michael S. Zdeb 9
NESUG 2009 So You're Still Not Using PROC REPORT. Why Not? Ray Pass,
Daphne E. Ewing		 22
NESUG 2009 The Dirty Secret Behind the Box: Why Programming Efficiency Should Matter to All of Us John J. Cohen 9
NESUG 2009 This is the Modern World: Simple, Overlooked SAS Enhancements Bruce F. Gilsen 10
NESUG 2009 Why Does SAS Run Clockwise? Robert Krajcik 11
WUSS 2009 An Introduction to SAS Character Functions Ronald P. Cody source 17
WUSS 2009 Base SAS Tips, Tricks and Techniques Kirk Paul Lafler source 14
WUSS 2009 Cleaning Duplicate Observations on a Chessboard of Missing Values Mayrita Vitvitska source 6
WUSS 2009 Efficient Statistical Programming? - These Small Steps Make the Difference Keiko I. Powers source 16
WUSS 2009 Errors, Warnings, and Notes (Oh My) A Practical Guide to Debugging SAS Programs Lora D. Delwiche,
Susan J. Slaughter		 source 15
WUSS 2009 Leave Your Bad Code Behind: 50 Ways to Make Your SAS Code Execute More Efficiently William E. Benjamin Jr. source 20
WUSS 2009 List Processing Routine CallXinc: Calling Parameterized Include Programs Using a Data Set as List of Parameters Ronald J. Fehd source 20
WUSS 2009 Reporting Quality of Cancer Care for the National Comprehensive Cancer Network - A SAS Bridge to Excel Joyce C. Niland,
Anna ter Veer,
Rebecca Ottesen,
Ann Vanderplas,
Julie A. Kilburn,
Dorothy Romanus		 source 10
WUSS 2009 SYMply PUT: GET the Most Out of SYMPUT and SYMGETN Robert Howard source 4
WUSS 2009 The Basics of the PRX Functions David L. Cassell source 18
WUSS 2009 The Little Engine That Could: Using EXCEL LIBNAME Engine Options to Enhance Data Transfers between SAS and Microsoft Excel Files William E. Benjamin Jr. source 10
WUSS 2009 The Power to Show: Ad Hoc Reporting, Custom Invoices, and Form Letters Daniel O'Connor source 58
PharmaSUG 2009 List Processing with Call Execute: Routine CallXinc for Calling Parameterized Include Programs Using a Data Set as List of Parameters Ronald J. Fehd 10
PharmaSUG 2009 SAS Viewer giving way to Universal Viewer Steven A. Wright 5
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 Advanced Features of User-Defined Formats and Informats Ronald P. Cody source 21
SGF 2009 Avoiding Common Traps When Accessing RDBMS Data Michael D. Rhoads source 12
SGF 2009 From Obscurity to Utility: ADDR, PEEK, POKE as DATA Step Programming Tools Paul M. Dorfman source 20
SGF 2009 Notes from an Intersection: Google Earth @ SAS Carol A. Martell source 17
SGF 2009 SCL Is Gone: How Do I Get Variables from My Users into SAS Enterprise Guide? Patricia Hettinger source 11
SGF 2009 Tales from the Help Desk 3: More Solutions for Common SAS Mistakes Bruce F. Gilsen source 10
SGF 2009 Using SAS Arrays to Manipulate Data Ben Cochran source 11
SGF 2009 You Might Be a SAS Energy Hog If ... Michael A. Raithel,
Michael D. Rhoads		 source 15
WUSS 2008 A Dynamic Way to Manipulate Longitudinal Data with SAS Nora Ruel,
Arthur X. Li		 source 4
WUSS 2008 A Sampler of What's New in Base SAS 9.2 Jason Secosky source 15
WUSS 2008 An Introduction to SAS Character Functions Ronald P. Cody source 17
WUSS 2008 Combined Line - Double Bubbles - Pie chart Alexandre Zolotovitski source 5
WUSS 2008 Processing multiple formats with input and output control data sets in PROC FORMAT Thomas E. Billings source 8
WUSS 2008 Programming Efficiently with Arrays Diana D. Suhr source 7
WUSS 2008 SAS and Oracle PL/SQL: Partners or Competitors? Stanley E. Fogleman source 5
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 An innovative approach to the "other specify" recoding procedure in research survey Ruben Chiflikyan,
Barbara Bibb,
Mai Nguyen		 source 12
SESUG 2008 Automated Data Converting of Character into Numeric Fields Mila Chiflikyan source 11
SESUG 2008 Identifying and listing outliers without using PROC Format option Other=Invalid Ruben Chiflikyan source 12
SESUG 2008 The Art of Debugging H. Ian Whitlock source 20
SESUG 2008 Use of Post Processor in Clinical Data Reporting Niraj J. Pandya source 7
SESUG 2008 Using SAS Arrays to Manipulate Data Ben Cochran source 10
PHUSE EU 2008 An Animated Guide: The Logical Cascade through the --ORRES Variable Russell M. Lavery source 13
PHUSE EU 2008 Dynamic Decimal Precision and Alignment in Clinical Trial Summary Tables and Patient Data Stephen Hunt,
Brian P. Fairfield-Carter		 source 8
PHUSE EU 2008 SAS macro Jim Groeneveld source 8
MWSUG 2008 A Sampler of What's New in Base SAS 9.2 Jason Secosky 15
MWSUG 2008 Loop-Do-Loop Around Arrays Wendi L. Wright 17
PNWSUG 2008 A Sampler of What's New in Base SAS 9.2 Jason Secosky 15
NESUG 2008 A Sampler of What's New in Base SAS 9.2 Jason Secosky 15
NESUG 2008 An Animated Guide: the Logical cascade when entering Orres data Russell M. Lavery 11
NESUG 2008 An Animated Guide: Using the Put and INput functions Russell M. Lavery 10
NESUG 2008 Avoiding Common Traps When Accessing RDBMS Data Michael D. Rhoads 11
NESUG 2008 Develop A Demographic Data Analysis Report System By SAS and Visual Basic Richard Zhou 13
NESUG 2008 From Obscurity to Utility: ADDR, PEEK, POKE as DATA Step Programming Tools Paul M. Dorfman 19
NESUG 2008 Get into the Groove with %SYSFUNC: Generalizing SAS Macros with Conditionally Executed Code Kathy Hardis Fraeman 8
NESUG 2008 Just What the Doctor Ordered: Using SAS to Calculate Patient Drug Dose with Electronic Medical Record (EMR) Prescription Data Kathy Hardis Fraeman 9
NESUG 2008 Post Processing Macro in Clinical Data Reporting Niraj J. Pandya 7
NESUG 2008 Tales from the Help Desk 4: Still More Solutions for Common SAS Mistakes Bruce F. Gilsen 8
NESUG 2008 The SAS Data Step: Where Your Input Matters Peter W. Eberhardt 18
PharmaSUG 2008 %LOGCHECK: a Convenient Tool for Checking Multiple Log Files Suzanne M. Humphreys 9
PharmaSUG 2008 An Animated Guide: Using the Put and INput functions Yanmei Lu,
Russell M. Lavery		 19
PharmaSUG 2008 Innovative Techniques and Tools to Detect Data Quality Problems Hong Qi,
Allan Glaser		 8
PharmaSUG 2008 So Much Data, So Little Time: Splitting Datasets For More Efficient Run Times and Meeting FDA Submission Guidelines Anthony Harris,
Robby A. Diseker		 9
SGF 2008 Advanced Features of User-Defined Formats and Informats Ronald P. Cody source 21
SGF 2008 Dynamic Decimal Precision and Alignment in Clinical Trial Laboratory Summary Tables and Patient Data Listings Stephen Hunt,
Brian P. Fairfield-Carter		 source 8
SGF 2008 Headings and Super-Headings: Using ACROSS Variables in PROC REPORT Jillian E. Campell source 5
SGF 2008 Many-to-Many Merges in the DATA Step Edward Heaton source 9
SGF 2008 Range Formats Made Easy A CreateRangeFormat Custom Task for SAS Enterprise Guide Petr Hustak source 9
SGF 2008 The Art of Debugging H. Ian Whitlock source 20
SGF 2008 Using CALL MODULE in SAS on Linux, or I Get By with a Little Help from My Friends Richard A. DeVenezia,
Judy Loren		 source 10
SGF 2008 Using Data Set Values and Variable Names Outside of the DATA Step Bruce F. Gilsen source 15
SGF 2008 Using DO Statements, Links, and Arrays Jimmy A. DeFoor source 13
NESUG 2007 Advanced Techniques using SAS Add-In for Microsoft Office to Define Multiple File References Within Visual Basic Catherine Loveless-Schmitt 15
NESUG 2007 Common Pitfalls in SAS Statistical Analysis Macros in a Mass Production Environment Huei-Ling Chen,
Aiming Yang		 9
NESUG 2007 Everyone Needs "a Raise" (Arrays) Marge Scerbo 11
NESUG 2007 Formats, Informats and How to Program with Them H. Ian Whitlock 14
NESUG 2007 From Obscurity to Utility: ADDR, PEEK, POKE as DATA Step Programming Tools Lessia S. Shajenko,
Paul M. Dorfman		 20
NESUG 2007 Identify and Remove Any Variables, Character or Numeric, That Have Only Missing Values Wei Xu 3
NESUG 2007 So You're Still Not Using PROC REPORT. Why Not? Ray Pass,
Daphne E. Ewing		 13
NESUG 2007 So You're Still Not Using PROC REPORT. Why Not? (Hands-On Workshop) Ray Pass,
Daphne E. Ewing		 13
NESUG 2007 Using CALL MODULE in SAS on Linux, or I Get By with a Little Help from My Friends Richard A. DeVenezia,
Judy Loren		 10
NESUG 2007 Using Data Set Values and Variable Names Outside of the DATA Step Bruce F. Gilsen 15
NESUG 2007 Working with Missing Values Edward Heaton,
Michelle Zhuang		 3
SESUG 2007 Data Step Hieroglyphics Harry Droogendyk source 10
SESUG 2007 Formats, Informats and How to Program with Them H. Ian Whitlock source 14
SESUG 2007 Using INFILE and INPUT Statements to Introduce External Data into the SAS System Andrew T. Kuligowski source 18
MWSUG 2007 Advanced PROC REPORT: Doing More in the Compute Block Arthur L. Carpenter 23
WUSS 2007 Advanced PROC REPORT: Doing More in the Compute Block Arthur L. Carpenter source 23
WUSS 2007 An Introduction to SAS Character Functions (Including Some SAS 9 Functions) Ronald P. Cody source 17
WUSS 2007 Data Driven Annotations: An Introduction to SAS/GRAPH's Annotate Facility Arthur L. Carpenter source 17
WUSS 2007 Data Driven Annotations: An Introduction to SAS/GRAPH's Annotate Facility Arthur L. Carpenter source 17
WUSS 2007 The TRANSPOSE Procedure or How to Turn your Data Around David Fickbohm source 10
WUSS 2007 WHERE vs. IF Statements: Examples in Usage and Differences Sunil Kumar Gupta source 13
PHUSE EU 2007 Preliminary data process Antoine Brisacier source 6
PHUSE EU 2007 Preparing real world data in Excel sheets for stats analysis Volker Harm source 6
SCSUG 2007 Calling C++ Program Richard A. DeVenezia,
Judy Loren		 10
SCSUG 2007 Explaining Unexpected Log Messages and Output Results from DATA Step Code Debbie Buck,
Larry Stewart		 13
SCSUG 2007 So You're Still Not Using PROC REPORT. Why Not? Ray Pass,
Daphne E. Ewing		 13
SCSUG 2007 Using INFILE and INPUT Statements to Introduce External Data into the SAS System Andrew T. Kuligowski 18
SCSUG 2007 Using Links, Arrays, and Do-Loops Jimmy A. DeFoor 13
PNWSUG 2007 The Basics of the PRX Functions David L. Cassell 18
PNWSUG 2007 Using INFILE and INPUT Statements to Introduce External Data into the SAS System Andrew T. Kuligowski 18
PNWSUG 2007 Using Links, Arrays, and Do-Loops Jimmy A. DeFoor 13
PharmaSUG 2007 A SAS Macro for Comparing the Size of Compressed and Uncompressed SAS Data Sets Xingshu Zhu,
Shuping Zhang		 4
PharmaSUG 2007 Advanced PROC REPORT: Doing More in the Compute Block Arthur L. Carpenter 21
PharmaSUG 2007 Creating Metadata-Driven Program Logic with the SAS Call Execute Routine - An Example with CTC Grading of Laboratory Results Robert W. Graebner,
Overland Park		 8
PharmaSUG 2007 Dynamic Decimal Precision and Alignment in Clinical Trial Laboratory Summary Tables and Patient Data Listings Stephen Hunt,
Brian P. Fairfield-Carter		 8
PharmaSUG 2007 Efficient Storage and Processing of Sequential Indicators Using SAS Bitwise Functions Gerhardt Pohl,
Wenyu Ye		 5
PharmaSUG 2007 The TRANPOSE Procedure or How to Turn It Around Janet E. Stuelpner 9
PharmaSUG 2007 Three-Step Table Validation Yang Chen 7
SGF 2007 Advanced PROC REPORT: Doing More in the Compute Block Arthur L. Carpenter source 22
SGF 2007 An Introduction to SAS Character Functions Ronald P. Cody source 17
SGF 2007 Creating Order Out of Character Chaos: Collation Capabilities of the SAS System Michael Mebust,
Scott Bridgers		 source 16
SGF 2007 Data on Demand with SAS Enterprise Guide-: A Cheap and Easy Approach to Real-Time Database Access Richard F. Pless source 11
SGF 2007 Everyone Needs "a Raise" (Arrays) Marge Scerbo source 11
SGF 2007 Getting the Most from PROC MEANS Andrew H. Karp source 9
SGF 2007 Handling Large Stream Files with the @'string' Feature Richard D. Langston source 4
SGF 2007 Hanging On by a STRING? Using Functions to Untie Text Strings Jeanina M. Worden source 7
SGF 2007 How Do I Look It Up If I Don't Know How to Spell It? An Introduction to SAS DICTIONARY Tables Peter W. Brill,
Ilene K. Eberhardt		 source 14
SGF 2007 How to Think Through the SAS DATA Step H. Ian Whitlock source 19
SGF 2007 Perl Regular Expressions 102 Kenneth W. Borowiak source 11
SGF 2007 Reading Excel Workbooks Edward Heaton source 13
SGF 2007 Tales from the Help Desk 2: Solutions for Common SAS Mistakes Bruce F. Gilsen source 10
SGF 2007 The Basics of the PRX Functions David L. Cassell source 18
SGF 2007 Using Invisible Characters in SAS Programming - Hidden Dragons, Episode II Shi-Tao Yeh source 9
SGF 2007 WHERE vs. IF Statements-Knowing the Difference in How and When to Apply Sunil Kumar Gupta source 12
PNWSUG 2006 Traversing the Bridges Between SAS and ESRI ArcMap (Note: This is a 2.8mb Powerpoint file.) [presentation] Curtis E. Mack 47
MWSUG 2006 How to use Summary Statistics as raw data to do basic statistical analysis Dachao Liu 6
MWSUG 2006 Inline Formatting + Long Character Variables = Wow! That's SAS? Derek P. Morgan 4
MWSUG 2006 That's the Signpost Up Ahead Your Next Stop, SAS IML Gary Allen 10
SCSUG 2006 Flattening Dependent Tables from Relational Databases for Use in SAS Processing David Welch 34
SCSUG 2006 Getting Data into SAS: INFILE and INPUT Andrew T. Kuligowski 8
PHUSE EU 2006 Analyse That : Getting Information Quickly About Your SAS Data Stephen Prust source 10
PHUSE EU 2006 Defensive Programming Techniques Jennie McGuirk,
John Woods		 source 5
PHUSE EU 2006 Save Time: Program Your Output Specs Hansjörg Frenzel,
James Witt		 source 11
SESUG 2006 Data Step Interfaces with the Macro Facility Toby Dunn source 17
SESUG 2006 ET06 DATALINES, Sequential Files, CSV, HTML and More - Using INFILE and INPUT Statements to Introduce External Data into the SAS System Andrew T. Kuligowski source 18
SESUG 2006 How to Implement the One-Time Methodology Mark Tabladillo source 8
SESUG 2006 How to Think Through the SAS DATA Step H. Ian Whitlock source 20
WUSS 2006 Data Driven Annotations: An Introduction to SAS/GRAPH's Annotate Facility Arthur L. Carpenter source 17
WUSS 2006 Errors, Warnings, and Notes (Oh My) A Practical Guide to Debugging SAS Programs Lora D. Delwiche,
Susan J. Slaughter		 source 15
WUSS 2006 How to Analyze Terabytes of Data with a Word Mark Gustafson source 8
WUSS 2006 Steps to Success with PROC MEANS Andrew H. Karp source 12
WUSS 2006 Tips & Techniques with PROC MEANS Andrew H. Karp source 8
WUSS 2006 WHERE vs. IF Statements: Examples in Usage and Differences Sunil Kumar Gupta source 11
NESUG 2006 An Introduction to SAS Character Functions Ronald P. Cody 17
NESUG 2006 Formats to the Rescue Gary M. McQuown 6
NESUG 2006 How to Reduce the Disk Space Required by a SAS Dataset Selvaratnam Sridharma 16
NESUG 2006 Perl Regular Expressions 102 Kenneth W. Borowiak 11
NESUG 2006 Tales from the Help Desk 3: More Solutions for Simple SAS Mistakes Bruce F. Gilsen 10
NESUG 2006 The Invisible Character ALT+255 - Hidden Dragon: Hiding and Aligning Text in SAS Output Eugene Tsykalov,
Shi-Tao Yeh		 8
NESUG 2006 Wanna Date? Stephen J. Rhoades 13
PharmaSUG 2006 Arrays Made Easy: An Introduction to Arrays and Array Processing Teresa Schudrowitz 9
PharmaSUG 2006 Data Driven Annotations: An Introduction to SAS/GRAPH's Annotate Facility Arthur L. Carpenter 17
PharmaSUG 2006 External Data Utility (EDU), a SAS Tool to Manage Data from Acquisition to Database Release Margaret Hung,
Mohit Goel,
Sheila Moody		 11
PharmaSUG 2006 Imputing ISO8601 Dates From Character Variables Containing Partial Dates John R. Gerlach 4
PharmaSUG 2006 PROC FORMAT is Our Friend Erin M. Christen 20
PharmaSUG 2006 Searching for the Right Search Tool Eugene Yeh,
Angela S. Ringelberg		 12
PharmaSUG 2006 The Skinny on Processing Very Large Health Claims Data Sets Gopal Rajagopal,
Blue Bell		 10
SUGI 2006 %DataAutoSum: A SAS Macro for Automatically Producing a Customized Clinical Data Summary Report Deqing Pei,
Cheng Cheng		 source 8
SUGI 2006 A Hands-On Introduction to SAS Basics and the SAS Display Manager Debbie Buck - SC source 12
SUGI 2006 An Introduction to SAS Character Functions Ronald P. Cody source 17
SUGI 2006 Data-Driven Annotations: An Introduction to the SAS/GRAPH Annotate Facility Arthur L. Carpenter source 17
SUGI 2006 DATALINES, Sequential Files, CSV, HTML, and More - Using INFILE and INPUT Statements to Introduce External Data into the SAS System Andrew T. Kuligowski source 18
SUGI 2006 How to Think Through the SAS DATA Step H. Ian Whitlock source 20
SUGI 2006 Inline Formatting + Long Character Variables = "I Didn't Know You Could Do That with SAS"! Derek P. Morgan source 4
SUGI 2006 MISSING! - Understanding and Making the Most of Missing Data Suzanne M. Humphreys source 9
SUGI 2006 So You're Still Not Using PROC REPORT. Why Not? Ray Pass,
Daphne E. Ewing		 source 20
SUGI 2006 So, Your Data are in Excel! Edward Heaton source 13
SUGI 2006 Squeezing Information out of Data William C. Murphy source 4
SUGI 2006 Subject Profiles Generated with Macro Profile System (MPS) John Iwaniszek source 12
SUGI 2006 The Invisible Character ALT+255 - Hidden Dragon: Hiding and Aligning Text in SAS Output Eugene Tsykalov,
Shi-Tao Yeh		 source 8
SUGI 2006 The TRANSPOSE Procedure or How to Turn It Around Janet E. Stuelpner source 9
SUGI 2006 Using Data Set Options in PROC SQL Kenneth W. Borowiak source 10
PNWSUG 2005 Data Step Hieroglyphics Harry Droogendyk 10
PNWSUG 2005 ODS to RTF: Tips and Tricks Paul D. Hamilton 9
SESUG 2005 %CHECKDATA: An Enhanced Data Diagnostic Macro John Stanmeyer source 8
SESUG 2005 DATALINES and Sequential Files and CSV and HTML and More - Using INFILE and INPUT to Introduce External Data into the SAS System Andrew T. Kuligowski source 10
SESUG 2005 Formats, Informats and How to Program with Them H. Ian Whitlock source 15
SESUG 2005 Is There an Art Historian in the County? Keith J. Brown source 9
SESUG 2005 Manipulating Data: Elements of the DATA Step Language Paul M. Dorfman source 19
SESUG 2005 Proc Transpose or How to Turn It Around Janet E. Stuelpner source 7
SESUG 2005 SER04_05 From Obscurity to Utility APP Functions source 20
SESUG 2005 So, Your Data are in Excel! Edward Heaton source 13
SESUG 2005 The Invisible Character Alt255 - Hidden Dragon Removing and Aligning Text in SAS Output Eugene Tsykalov,
Shi-Tao Yeh		 source 8
SESUG 2005 The SAS Data Step: Where Your Input Matters Peter W. Eberhardt source 17
SCSUG 2005 An Introduction to SAS Character Functions (Including Some New SAS9 Functions) Ronald P. Cody 15
SCSUG 2005 SAS ETL Studio: An Introduction to the Version 9 Data Warehousing solution Kevin Davidson 10
PHUSE EU 2005 The FORMAT procedure - more than just a VALUE statement Lawrence Heaton-Wright source 9
MWSUG 2005 Arrays Made Easy: An Introduction to Arrays and Array Processing Gerald D. Frey 9
MWSUG 2005 Introduction To SAS Business Intelligence/Enterprise Guide Alex Dmitrienko 13
MWSUG 2005 SAS Enterprise Guide in Pharmaceutical Applications: Automated Analysis And Reporting Alex Dmitrienko 9
WUSS 2005 An Introduction to SAS Character Functions (Including Some New V9 Functions) Ronald P. Cody source 15
WUSS 2005 Producing Multipurpose Metadata for Data Quality and a Data Dictionary John E. Bentley source 19
WUSS 2005 Tips & Techniques with PROC MEANS Andrew H. Karp source 8
NESUG 2005 Another Factorial File Compression Experiment Using SAS and UNIX Compression Algorithms Adeline J. Wilcox 10
NESUG 2005 Beyond FORMAT Basics Michael S. Zdeb 20
NESUG 2005 Data Step Hieroglyphics Harry Droogendyk 10
NESUG 2005 Getting Data into SAS: INFILE and INPUT Andrew T. Kuligowski 8
NESUG 2005 Loop-Do-Loop Around Arrays Wendi L. Wright 16
NESUG 2005 Reading a File of Questionable Lineage James Zeitler 6
NESUG 2005 The INPUT Statement: Where It's @ Ronald P. Cody 13
PharmaSUG 2005 %IsNum, A Macro Function Checks Data Type In Data Step Fuping Peng 3
PharmaSUG 2005 An Introduction to Regular Expressions with Examples from Clinical Data Richard F. Pless,
Highland Park		 8
PharmaSUG 2005 Building Dynamic Informats and Formats Michael Zhang 8
PharmaSUG 2005 Preventing Data Loss when Combining SAS Datasets John Cantrell 9
PharmaSUG 2005 SAS and Oracle PL/SQL: Partners or Competitors? Stanley E. Fogleman 5
PharmaSUG 2005 Some Statistical Programming Considerations for e-Submission Hang Pang 6
PharmaSUG 2005 User-Specified Text Flow Inside The Report Procedure Donald W. Peterson,
Taghi R. Garacani		 5
PharmaSUG 2005 Utility Macros Used in the Process for Database Translations Yuguang Zhao,
Jingchun Yu		 3
SUGI 2005 %htmlForm: An HTML Form and SAS/IntrNet Code Generator Don Boudreaux,
Keith Cranford		 source 10
SUGI 2005 A Macro for Importing Multiple Excel Worksheets into SAS Data Sets Helen C. Sun,
Cindy Wong		 source 9
SUGI 2005 An Introduction to SAS Character Functions (Including Some New SAS9 Functions) Ronald P. Cody source 15
SUGI 2005 Arrays Made Easy: An Introduction to Arrays and Array Processing Teresa Schudrowitz,
Steven J. First		 source 9
SUGI 2005 Benchmarking Character String Replacement Bruce F. Gilsen source 10
SUGI 2005 CALL EXECUTE: A Powerful Data Management Tool Denis Michel source 13
SUGI 2005 Explaining Unexpected Log Messages and Output Results from DATA Step Code Debbie Buck - SC,
Larry Stewart		 source 13
SUGI 2005 My Friend the SAS Format Andrew H. Karp source 12
SUGI 2005 Producing Multipurpose Metadata for Data Quality and a Data Dictionary John E. Bentley source 19
SUGI 2005 Rule Your Data with The Link King (a SAS/AF application for record linkage and unduplication) Kevin M. Campbell source 9
SUGI 2005 Tetris: SAS/AF Considerations Richard A. DeVenezia source 10
SUGI 2005 The SAS Data Step: Where Your Input Matters Peter W. Eberhardt source 17
SUGI 2005 Using an Excel Spreadsheet with PC SAS, No Gymnastics Required! Diane C. Hall source 4
SUGI 2005 Using Variable Values to Change Macro Variables in Loop Processing Michael G. Eberhart source 6
NESUG 2004 Benchmarking Character String Replacement Bruce F. Gilsen 10
NESUG 2004 Data Step Hieroglyphics Harry Droogendyk 10
NESUG 2004 More Tales from the Help Desk: Solutions for Simple SAS Mistakes Bruce F. Gilsen 10
NESUG 2004 SAS and Oracle PL/SQL: Partners or Competitors? Stanley E. Fogleman 4
NESUG 2004 SAS MACROS: Offer the Best Dating Service Adel Fahmy 9
NESUG 2004 So You're Still Not Using PROC REPORT. Why Not? Ray Pass,
Daphne E. Ewing		 22
NESUG 2004 SYMPUT and SYMGET: Getting DATA Step variables and macro variables to share Christianna S. Williams 14
NESUG 2004 The INPUT Statement: Where It's @ Ronald P. Cody 13
NESUG 2004 The Invisible Character Alt-255 - Hidden Dragon in SAS Output Eugene Tsykalov,
Shi-Tao Yeh		 8
SESUG 2004 Dictionary Tables and Views: Essential Tools for Serious Applications Frank C. DiIorio,
Jeffrey M. Abolafia		 source 17
SESUG 2004 Stata for the Struggling SAS Mind Dan Blanchette source 11
SESUG 2004 The SAS Data Step: Where Your Input Matters Peter W. Eberhardt source 17
WUSS 2004 Arrays Uncovered Diana D. Suhr source 7
WUSS 2004 Getting the Most from PROC MEANS Andrew H. Karp source 8
WUSS 2004 Reading and Writing XML Files from SAS Miriam Cisternas,
Ricardo A. Cisternas		 source 18
WUSS 2004 Text Processing with the New Perl Regular Expression Functions Richard F. Pless source 11
MWSUG 2004 %Fun &With %SYSFUNC Derek P. Morgan 4
MWSUG 2004 Unleashing the Power of SAS Functions to Manipulate and Manage Data Ben Cochran 5
MWSUG 2004 Using SAS Enterprise Guide to Automate and Customize Statistical Analyses for Pharmaceutical Data Alex Dmitrienko,
Cindy Lee		 6
PNWSUG 2004 Dynamically Change Your Perspective with the Link King (and a Little SAS/AF) Kevin M. Campbell 9
PNWSUG 2004 Reading and Writing XML Files from SAS Peter J. Lund
PNWSUG 2004 Tips and Techniques for Large Files [presentation] Andrew H. Karp 37
PharmaSUG 2004 A Macro Generating a Report-Ready Table in Different Layout and Format Renda Cheng 12
PharmaSUG 2004 A Technique to Create a Numeric Variable from a Character Variable Hany Aboutaleb 6
PharmaSUG 2004 An FDA-Requested XML Replacement for SAS Version 5 Transport Files in U.S. Regulatory Submissions Michael C. Palmer 5
PharmaSUG 2004 CDX - clinical data management and report programming environment Gunilla Sköllermo,
Pål Edman		 7
PharmaSUG 2004 Data Summary at a Glance Varsha C. Shah 8
PharmaSUG 2004 Different Decimal Places for Different Lab Tests. Angelina Cecilia Mauldin 7
PharmaSUG 2004 Reading and Writing XML Files from SAS Miriam G. Cisternas 18
PharmaSUG 2004 So You're Still Not Using PROC REPORT. Why Not? Ray Pass,
Ray Pass		 19
PharmaSUG 2004 The FORMAT procedure - more than just a VALUE statement Lawrence Heaton-Wright 9
PharmaSUG 2004 Transposition of Variables with Different Formats Peter Lin 5
SUGI 2004 A-P-P Advanced Data Management Functions Peter Crawford,
Paul M. Dorfman		 source 20
SUGI 2004 An Introduction to Regular Expressions with Examples from Clinical Data Richard F. Pless source 9
SUGI 2004 Comparing the Desired Variable Definitions with the Actual Data Sets across Multiple Studies Shane L. Hornibrook source 7
SUGI 2004 Debugging 101 Peter Knapp source 15
SUGI 2004 Dictionary Tables and Views: Essential Tools for Serious Applications Jeffrey M. Abolafia,
Frank C. DiIorio		 source 20
SUGI 2004 How to Implement the One-Time Methodology Mark Tabladillo source 9
SUGI 2004 Reading and Writing XML Files from SAS Miriam G. Cisternas,
Ricardo A. Cisternas		 source 19
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 Tales From the Help Desk: Solutions for Simple SAS Mistakes Bruce F. Gilsen source 9
SUGI 2004 The INPUT Statement: Where It's @ Ronald P. Cody source 14
SUGI 2004 Using SAS/AF to Create Data Entry Screens with Multiple Comment Fields Allowing for Unlimited Amounts of Text in Each Field Robert S. Matthews source 6
SUGI 2004 Widefiles, Deepfiles, and the Fine Art of Macro Avoidance Howard L. Kaplan source 11
WUSS 2003 Efficient Statistical Programming? Let's Be Creative With Those SAS Steps Keiko I. Powers source 7
WUSS 2003 Errors, Warnings, and Notes (Oh My) A Practical Guide to Debugging SAS Programs Lora D. Delwiche,
Susan J. Slaughter		 source 10
WUSS 2003 Methods of Producing Datasets with Unique Record per Id Number Alexander Khartchenko,
Irina V. Tolstykh,
Natalia V. Udaltsova		 source 4
WUSS 2003 Reading and Writing XML Files from SAS Miriam Cisternas,
Ricardo A. Cisternas		 source 7
WUSS 2003 Taming Your Metadata Part I: Getting data dictionary and codebook from your SAS databases Peter Godard source 6
WUSS 2003 Tips and Techniques with PROC MEANS Andrew H. Karp source 8
SCSUG 2003 Macros - Intermediate Destiny Corporation (a company) 12
SCSUG 2003 Merge Processing and Alternative Table Lookup Techniques Destiny Corporation (a company) 7
SCSUG 2003 Multi-Lingual Computing with the 9.1 SAS Unicode Server Stephen M. Beatrous 8
SESUG 2003 Data Step Hieroglyphics Harry Droogendyk source 10
SESUG 2003 Dictionary Tables and Views: Essential Tools for Serious Applications Frank C. DiIorio,
Jeffrey M. Abolafia		 source 10
SESUG 2003 How to Implement the One-Time Methodology Mark Tabladillo source 5
SESUG 2003 Macros - Intermediate Destiny Corporation (a company) 13
SESUG 2003 Merge Processing and Alternate Table Lookup Techniques Destiny Corporation (a company) 7
SESUG 2003 Musical Macros: A Soothing Solution for a Recurrent Data Step Headache Philip J. d'Almada source 3
SESUG 2003 SAS Formats: Uses and Abuses Carry W. Croghan source 6
SESUG 2003 Table Lookup By Direct Addressing: From V8 To V9 Paul M. Dorfman source 13
MWSUG 2003 Intemediate Macros Destiny Corporation (a company) 12
MWSUG 2003 Tips and Techniques with PROC MEANS Andrew H. Karp 6
NESUG 2003 CSV: A Macro Which Writes SAS Programs to Read csv-Files Victor Kamensky 8
NESUG 2003 Debugging 101 Peter Knapp 14
NESUG 2003 Deja-vu all Over Again: Common Mistakes by new SAS Users Bruce F. Gilsen 6
NESUG 2003 Reading External Files Using SAS Software Clinton S. Rickards 9
NESUG 2003 So You're Still Not Using PROC REPORT. Why Not? Ray Pass,
Daphne E. Ewing		 22
NESUG 2003 Table Lookup By Direct Addressing: From V8 To V9 Paul M. Dorfman 14
NESUG 2003 The Dark Side of the Transparent Moon -- Tips, Tricks and Traps of Handling ORACLE Data Using SAS Xinyu Ji 11
NESUG 2003 The Dirty Secret Behind the Box: Why Programming Efficiency Should Matter to All of Us John J. Cohen 9
NESUG 2003 Tips for Manipulating Data Marge Scerbo 10
SEUGI 2003 Multilingual Computing with the 9.1 Unicode Server Stephen M. Beatrous source 9
PharmaSUG 2003 10 Things Every Programmer Should Know About Electronic Submissions Greg Silva 4
PharmaSUG 2003 A SAS Macro for Simple Statistical Summary Michael Gunshenan 10
PharmaSUG 2003 Adjusting Dates in a New Century Malachy J. Foley 2
PharmaSUG 2003 Automating the Creation of Data Definition Tables (Define.pdf) Using SAS Version 8.2 Eugene Yeh 8
PharmaSUG 2003 The Use and Abuse of the Program Data Vector Jim Johnson 10
SUGI 2003 %Fun &With %SYSFUNC Derek P. Morgan source 3
SUGI 2003 Continuous or Not: How One Can Tell Vatsala V. Karwe source 2
SUGI 2003 Date Handling in the SAS System Bruce F. Gilsen source 10
SUGI 2003 Errors, Warnings, and Notes (Oh My) A Practical Guide to Debugging SAS Programs Lora D. Delwiche,
Susan J. Slaughter		 source 10
SUGI 2003 Hashing: Generations Paul M. Dorfman,
Gregg P. Snell		 source 10
SUGI 2003 Multi-Lingual Computing with the 9.1 SAS Unicode Server Stephen M. Beatrous source 4
SUGI 2003 New Ways and Means to Summarize Files Curtis A. Smith source 6
SUGI 2003 ODS to RTF: Tips and Tricks Paul D. Hamilton source 9
SUGI 2003 So You're Still Not Using PROC REPORT. Why Not? Ray Pass,
Daphne E. Ewing		 source 10
MWSUG 2002 A Missing is a Missing is a Missing ... Unless Your're a Project Manager Martin Barron 4
SCSUG 2002 Indexing and Comparing SAS Data Sets: How, Why, and Why Not Andrew H. Karp 5
SCSUG 2002 The Essential Meaning of PROC MEANS: A Beginner's Guide to Data Summarization and Analysis Using PROC MEANS Andrew H. Karp 10
NESUG 2002 An Animated Guide: Speed Merges with Key Indexing, Bitmapping and Hashing Paul M. Dorfman,
Russell M. Lavery		 10
NESUG 2002 Creating a Generic Data Listing Macro in Three Days or Less Chris Moriak 10
NESUG 2002 Date Handling in the SAS System Bruce F. Gilsen 10
NESUG 2002 Debugging 101 Peter Knapp 10
NESUG 2002 Macros with Global Vision: Using The SAS Dictionary Tables to Create Tools James R. Carter,
Michael E. Tomb		 7
NESUG 2002 Off and Running with Arrays in SAS Stephen Keelan 7
NESUG 2002 The Essential Meaning of PROC MEANS: A Beginner's Guide to Summarizing Data Using SAS Software Gary M. McQuown,
Andrew H. Karp		 10
NESUG 2002 To Err Is Human; to Debug, Divine Roger Staum 11
SESUG 2002 Adjusting Dates in a New Century Malachy J. Foley source 2
SESUG 2002 Developing a Control Methodology for Customized Data Management and Processing Mark Tabladillo source 6
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
SESUG 2002 Using PROC GREPLAY With ANNOTATE Data Sets for Effective Multi-Panel Graphics Walter T. Morgan source 12
WUSS 2002 Errors, Warnings, and Notes (Oh My) A Practical Guide to Debugging SAS Programs Lora D. Delwiche,
Susan J. Slaughter		 source 10
WUSS 2002 Hurray for Arrays! Diana D. Suhr source 3
WUSS 2002 New Ways and Means to Summarize Files Curtis A. Smith source 6
PharmaSUG 2002 ODS to RTF: Tips and Tricks Paul D. Hamilton 10
PharmaSUG 2002 Punctuation in SAS Programming John Morrill 6
PharmaSUG 2002 SAS Techniques to Get the Most out of Oracle Clinical David Johndrow 8
PharmaSUG 2002 The CDISC Laboratory Data Interchange Standard: Using SAS To Read and Write CDISC Compliant Data Sets and Files Margaret Hung 8
PharmaSUG 2002 To Err Is Human; To Debug Devine Roger Staum 12
SUGI 2002 Advanced Tips and Techniques with PROC MEANS Andrew H. Karp source 7
SUGI 2002 Creating Maps in SAS/GRAPH Jeffery D. Gilbert source 7
SUGI 2002 Data Cleaning 101 Ronald P. Cody source 10
SUGI 2002 Off and Running with Arrays in SAS Stephen A. Keelan source 7
SUGI 2002 Some Uses (and Handy Abuses) of PROC TRANSPOSE Ralph W. Leighton source 10
SUGI 2002 Tips for Manipulating Data Marge Scerbo source 9
SUGI 2002 To Err Is Human; to Debug, Divine Roger Staum source 11
SUGI 2002 Using Dynamic Data Exchange to Export Your SAS Data to MS Excel - Against All ODS, Part I Koen Vyverman source 10
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 Having a Ball with Strings: SAS Character Functions Ronald P. Cody 8
NESUG 2001 Now _INFILE_ is an Automatic Variable - So What? Howard L. Schreier 2
NESUG 2001 SAS Program Efficiency for Beginners Bruce F. Gilsen 10
NESUG 2001 Some Uses (and Handy Abuses) of PROC TRANSPOSE Ralph W. Leighton 10
WUSS 2001 Changes and Enhancements to PROCs MEANS and SUMMARY in Version 8 of the SAS System Andrew H. Karp source 6
WUSS 2001 CONCAT.SAS: A Macro for Concatenation of Grouped Multi-Record Narrative Text Roy Henrichs source 4
WUSS 2001 Making a Data Code Dictionary Using a Dynamic SAS Macro Jichao Sun,
Haiping Luo		 source 6
WUSS 2001 My Favorite Functions: Using the SAS Macro Language to Create User-Written Functions Peter J. Lund source 7
WUSS 2001 The Input Statement: What It Can Do for You David Fickbohm source 5
WUSS 2001 Utilizing SAS Formats Effectively Lang-Feng Tsai source 4
SESUG 2001 Changes and Enhancements to PROC MEANS In Version 8 of the SAS System Andrew H. Karp source 6
SESUG 2001 Data Cleaning and Base SAS Functions Caroline C. Bahler source 6
SESUG 2001 Direct Addressing Techniques of Table Look-Up Part 1. Key-Indexing - Bitmapping Part 2. Hashing Paul M. Dorfman source 10
SESUG 2001 Formats, Informats and How to Program with Them H. Ian Whitlock source 9
SESUG 2001 Manipulating Data: Elements of the DATA Step Language Paul M. Dorfman source 10
SESUG 2001 The INPUT Statement: Where It's @ Ronald P. Cody,
Robert Wood Johnson		 source 10
SESUG 2001 Understanding and Using Functions Frank C. DiIorio source 8
SESUG 2001 Using Functions and Arrays in the SAS System to Manage and Manipulate Data Ben Cochran source 6
SCSUG 2001 Changes and Enhancements to PROC MEANS In Version 8 of the SAS System Andrew H. Karp 6
SCSUG 2001 Data Cleaning and Base SAS Functions Caroline C. Bahler 6
SCSUG 2001 Direct Addressing Techniques of Table Look-Up Part 1. Key-Indexing - Bitmapping Part 2. Hashing Paul M. Dorfman 10
SCSUG 2001 Formats, Informats and How to Program with Them H. Ian Whitlock 9
SCSUG 2001 The INPUT Statement: Where is it's @ Ronald P. Cody 10
SCSUG 2001 Understanding and Using Functions Frank C. DiIorio 8
SCSUG 2001 Using Functions and Arrays in the SAS System to Manage and Manipulate Data Ben Cochran 6
PharmaSUG 2001 Macros with Global Vision: Using The SAS Dictionary Tables to Create Tools Michael E. Tomb,
James R. Carter		 8
PharmaSUG 2001 Using Functions and Arrays in the SAS System to Manage and Manipulate Data Ben Cochran 6
SUGI 2001 Automating the Process of Listing the Most Frequent Values of Thousands of Variables in Large Data Sets Haiping Luo,
Philip E. Friend		 source 5
SUGI 2001 Converting CP World Application to SAS V8: A Discussion of Issues and Hurdles Encountered Fang Dong source 4
SUGI 2001 Data Cleaning 101 Ronald P. Cody source 10
SUGI 2001 Data Cleaning and Base SAS Functions Caroline C. Bahler source 6
SUGI 2001 Fast and Effective Text Standardization (Coding) Without the Latest Stuff Erik H. Dilts source 7
SUGI 2001 Introducing External Data to the SAS System - The Interactive Session Andrew T. Kuligowski source 10
SUGI 2001 SAS Programming Solutions for Summarizing Character Variables Yefim Gershteyn source 4
SUGI 2001 So You're Still Not Using PROC REPORT. Why Not? Ray Pass,
Daphne E. Ewing		 source 10
SUGI 2001 Summarizing Data with an Inconsistent Text Key? Here's How! Sylvia C. Tze source 3
SUGI 2001 Table Look-Up by Direct Addressing: Key-Indexing - Bitmapping - Hashing Paul M. Dorfman source 10
SUGI 2001 The Essential Meaning of PROC MEANS: A Beginner's Guide to Summarizing Data in SAS Andrew H. Karp source 10
SUGI 2001 Using Dynamic Data Exchange to Export Your SAS Data to MS Excel - Against All ODS, Part I Koen Vyverman source 10
SCSUG 2000 Data Cleaning 101 Ronald P. Cody 13
SESUG 2000 Table Lookup via Direct Addressing: Key-Indexing, Bitmapping, Hashing Paul M. Dorfman source 11
NESUG 2000 Avoiding Mayhem in the New Millennium: Working with Missing Data JoAnn R. Matthews 10
NESUG 2000 Choosing SAS Operators to Select a Range of Values of a Variable Chang Jiang 2
NESUG 2000 Indexing and Compressing SAS Data Sets: How, Why, and Why Not Andrew H. Karp 5
NESUG 2000 Numeric Data Displays Utilizing Special Characters in PROC REPORT Kerry Deem 2
NESUG 2000 SAS Macros are the Cure for Quality Control Pains Gary M. McQuown 6
NESUG 2000 SAS Program Efficiency for Beginners Bruce F. Gilsen 10
NESUG 2000 Some Uses (and Handy Abuses) of PROC TRANSPOSE Ralph W. Leighton 12
NESUG 2000 The INPUT Statement: Where It's @ Ronald P. Cody 10
WUSS 2000 By Hook or By Crook: Overcoming Resource Limitations Curtis A. Smith source 8
WUSS 2000 Indexing and Compressing SAS Data Sets: How, Why, and Why Not Andrew H. Karp source 5
WUSS 2000 Playing With String Data David Fickbohm source 6
WUSS 2000 Subsetting Files vs. Summarizing Files Curtis A. Smith source 6
MWSUG 2000 Building a Better Data Entry Applciation Using PROC FSEDIT Derek P. Morgan,
Michael A. Province		 10
MWSUG 2000 Indexing and Compressing SAS Data Sets: How, Why, and Why Not Andrew H. Karp 5
MWSUG 2000 Making the Transistion from College to Industry Brian K. Varney 3
MWSUG 2000 SAS MACRO Basics and Fundamentals Timothy J. Harrington 10
SEUGI 2000 IT Service Vision and IT Charge Manager: strategic directions [presentation] Richard Seery source 32
PharmaSUG 2000 Using SAS Functions in Data Steps Yue Ye 5
SUGI 2000 A Case-Transforming Macro for More Readable Text 477 Sylvia C. Tze source 3
SUGI 2000 Avoiding Mayhem in the New Millennium: Working with Missing Data JoAnn R. Matthews source 10
SUGI 2000 Building A Better Data Entry Application Using PROC FSEDIT Derek P. Morgan,
Michael A. Province		 source 10
SUGI 2000 By Hook or By Crook: Overcoming Resource Limitations Curtis A. Smith source 6
SUGI 2000 Changes and Enhancements to the SAS Component Language (SCL) for Component Development Carl LaChapelle,
Tammy L. Gagliano		 source 10
SUGI 2000 Fast Track to PROC REPORT Results Meimei Ma,
Sandra D. Schlotzhauer		 source 10
SUGI 2000 Garbage In, Garbage Out. Does It Have To Be That Way? Louise S. Hadden source 5
SUGI 2000 Indexing and Compressing SAS Data Sets: How, Why, and Why Not Andrew H. Karp source 6
SUGI 2000 Making the Transition from College to Industry Brian K. Varney source 3
SUGI 2000 SAS Software and Microsoft Visual Basic for Applications Make Beautiful Reports Together Aileen L. Yam source 5
SUGI 2000 So You're Still Not Using PROC REPORT. Why Not? Ray Pass,
Daphne E. Ewing		 source 10
SUGI 2000 Use of SPEDIS Function in Finding Specific Values Yefim Gershteyn source 3
SCSUG 1999 Year 2000 Triage For Your SAS Applications Mike Kalt 7
SESUG 1999 Do We Know How to Function? Janet E. Stuelpner source 7
SESUG 1999 Programming Solutions with SAS Formats and Informats Imelda C. Go source 9
SESUG 1999 User-Specified Text Flow Inside The Report Procedure Donald Peterson,
John R. Gerlach		 source 3
SESUG 1999 Using SAS/AF to Create Data Entry Screens with Multiple Comment Fields Allowing source 4
SESUG 1999 Year 2000 Triage For Your SAS Applications Mike Kalt source 7
WUSS 1999 Hook or Crook Curtis A. Smith source 6
WUSS 1999 Indexing and Compressing SAS Data Sets: How, Why, and Why Not Andrew H. Karp source 5
WUSS 1999 Reading an Entire Line of Data of Unknown Length Into a Character Variable Mel Widawski source 5
WUSS 1999 SAS Macro Program to Prepare Data Documentation with Tailored Descriptions of Various Variable Types Keiko I. Powers source 6
WUSS 1999 Year 2000 Triage For Your SAS Applications Mike Kalt source 7
NESUG 1999 A Macro Using the SQL INTO: Feature to Retrieve Data from Large SAS/DB2 Databases Thiru Satchi 7
NESUG 1999 Creating Macro Variables via PROC SQL Michael S. Zdeb 2
NESUG 1999 Data Cleaning 101 Ronald P. Cody 10
NESUG 1999 Garbage In, Garbage Out. Does It Have To Be That Way? Louise S. Hadden 5
NESUG 1999 Robust Programming Techniques in the SAS System Alice M. Cheng 10
NESUG 1999 SAS Program Efficiency for Beginners Bruce F. Gilsen 10
NESUG 1999 Some Uses (and Handy Abuses) of PROC TRANSPOSE Ralph W. Leighton 10
NESUG 1999 Year 2000 Triage For Your SAS Applications Mike Kalt 7
MWSUG 1999 A Fast Format Macro - How to Quickly Create a Format by Specifying the Endpoints Christine A. Smiley 4
MWSUG 1999 Building a Better Data Entry Applciation Using PROC FSEDIT Derek P. Morgan,
Michael A. Province		 11
MWSUG 1999 SAS MACRO Basics and Fundamentals Timothy J. Harrington 10
MWSUG 1999 Year 2000 Triage For Your SAS Applications Mike Kalt 7
SEUGI 1999 Boosting your SAS/AF applications with the power of the WIN32 API [presentation] Martin Sjoholm source 14
SUGI 1999 %FREQ1VAR: Frequency of One Variable with Format: a Macro to Standardize PROC FREQ Output Data Sets Ronald J. Fehd source 3
SUGI 1999 A Fast Format Macro How to Quickly Create a Format by Listing the Endpoints Christine A. Smiley source 4
SUGI 1999 A Macro Tool to Search and Replace Portions of Text Jennifer M. Lin source 4
SUGI 1999 Advanced Methods to Introduce External Data into the SAS System Andrew T. Kuligowski source 10
SUGI 1999 An SQL List Macro to Retrieve Data from Large SAS/DB2 Databases Thiru Satchi source 6
SUGI 1999 Building A Better Data Entry Application Using PROC FSEDIT Derek P. Morgan,
Michael A. Province		 source 10
SUGI 1999 Indexing and Compressing SAS Data Sets: How, Why, and Why Not Andrew H. Karp source 5
SUGI 1999 Reading External Files Using SAS Software Clinton S. Rickards source 9
SUGI 1999 SAS Program Efficiency for Beginners Bruce F. Gilsen source 9
SUGI 1999 So You're Still Not Using PROC REPORT. Why Not? Ray Pass,
Daphne E. Ewing		 source 10
SUGI 1999 The Supplement of the COMPARE Procedure Weiqin Pan source 6
SUGI 1999 User-Specified Text Flow Inside The Report Procedure Donald W. Peterson,
John R. Gerlach		 source 3
SUGI 1999 Using SAS/AF Software to Create Data Entry Screens with Multiple Comment Fields Allowing for Unlimited Amounts of Text in Each Field Robert S. Matthews source 4
SUGI 1999 Working with Dates in SAS Software Christine A. Smiley source 3
SUGI 1999 Year 2000 Issues for SAS Users Mike Kalt,
Richard D. Langston		 source 7
MWSUG 1998 A Bag of FSEDIT Tricks Derek P. Morgan,
Michael A. Province		 7
MWSUG 1998 Less Well Known Features of SAS PROC SQL Timothy J. Harrington 10
MWSUG 1998 Working with Large Data Sets: How, Why and Why Not Andrew H. Karp 6
SCSUG 1998 An Overview of Techniques to Introduce External Data Into the SAS System Andrew T. Kuligowski 20
WUSS 1998 %FLATFILE, and Make Your Life Easier M. Michelle Buchecker source 3
WUSS 1998 An Overview of Techniques to Introduce External Data Into the SAS System Andrew T. Kuligowski source 20
WUSS 1998 Creating Inferred Data Using SAS Tim Walters source 6
WUSS 1998 Some Utility Applications Using the Dictionary Tables in PROC SQL Jack Hamilton source 6
NESUG 1998 %FLATFILE, and Make Your Life Easier Michelle Buchecker 3
NESUG 1998 Code or DATA? H. Ian Whitlock 10
NESUG 1998 Debugging 101 Peter Knapp 10
NESUG 1998 Handling Missing Values in the SQL Procedure Danbo Yi 8
NESUG 1998 Indexing and Compressing Data Sets: How, Why and Why Not Andrew H. Karp 5
NESUG 1998 SAS Program Efficiency for Beginners Bruce F. Gilsen 10
NESUG 1998 Using SAS MACRO Facility and DATA Step Functions for Automated and Selective Deletion of Records With Missing Information David Olaeye 10
NESUG 1998 Using SAS/GRAPH Software to Create Graphs for the Web Himesh Patel (Roger Chenoweth) 10
SESUG 1998 An Overview of Techniques to Introduce External Data Into the SAS System Andrew T. Kuligowski 20
SESUG 1998 DATA Step in Version 7: What's New? William F. Heffner 8
SESUG 1998 Long verses Wide - A Different Way of Looking at SAS Coding Richard Goldsmith 6
PharmaSUG 1998 A Technique for Importing External Data into a Relational Database Using PROC SQL, the Pass-Through Facility and the Macro Language Paul Doucette 7
PharmaSUG 1998 Introduction to Arrays Bob Virgile 6
SUGI 1998 A Flexible System for Conversion of DBF Tables into SAS Mel Widawski source 6
SUGI 1998 Basic Methods to Introduce External Data into the SAS System Andrew T. Kuligowski,
Nancy Roberts		 source 10
SUGI 1998 Creating Numeric Formats Based on Precision, Not Magnitude John R. Gerlach source 3
SUGI 1998 DATA Step in Version 7: What's New? William F. Heffner source 8
SUGI 1998 DEMOXRPT: Macros for Writing Exception Reports; Perform Range and Logic Checks on a Data Set; Write File of Exceptions to Edit and Use for Updates Ronald J. Fehd source 4
SUGI 1998 Introduction to the Basics - Avoiding Some Pitfalls Deb Cassidy source 8
SUGI 1998 On Data Transfer Aileen L. Yam source 10
SUGI 1998 SAS Program Efficiency for Beginners Bruce F. Gilsen source 9
SUGI 1998 So You're Still Not Using PROC REPORT. Why Not? Ray Pass,
Daphne E. Ewing		 source 10
SUGI 1998 Taking the Mystery Out of SAS Macro When Using CALL SYMPUT K. Larry Landers,
Monique Bryher		 source 6
SUGI 1998 Version 7 Enhancements to SAS/ACCESS Software Vino Gona,
Jana Van Wyk		 source 10
SCSUG 1997 Having a Ball with Strings Ronald P. Cody 8
PNWSUG 1997 Make Your Life Easier with SAS Formats Sean Burnett 9
WUSS 1997 A Data Management System for Use in Smaller Biotech Companies Ellen Krantz source 5
WUSS 1997 Calling External Modules from the SAS System Richard D. Langston source 4
WUSS 1997 Taking the Mystery Out of SAS Macro When Using CALL SYMPUT K. Larry Landers,
Monique Bryher		 source 6
NESUG 1997 Automating Creation of Subsets in SAS/FSP Using Pulldown Menus, SCL and Macros Steve Hinnenkamp 10
NESUG 1997 Creating Complex Graphics for Survival Analyses with the SAS System Steven E. Elkin 7
NESUG 1997 Macro to Create a Comma Delimited Extract File Thomas Garvin 3
NESUG 1997 Portable Data Process Denis Michel 7
NESUG 1997 SAS Program Efficiency for Beginners Bruce F. Gilsen 9
NESUG 1997 The What, When, Why, and How of PROC FORMAT Allison Levine 4
NESUG 1997 Using Compute Blocks to Enhance PROC REPORT Output Laurie Buchanan 3
MWSUG 1997 A Bag of FSEDIT Tricks Derek P. Morgan,
Michael A. Province		 5
MWSUG 1997 Double Data Entry in FSEDIT Using Point-of-Entry Verification Derek P. Morgan,
Michael A. Province		 6
MWSUG 1997 XRPT: macros %ID and %SHOW for writing Exception Reports: perform range and logic checks on a data set: write file of exceptions to edit and use for updates Ronald J. Fehd 4
SESUG 1997 Learning About Your Data: Tips and Techniques for Looking at Large Files Sandra D. Schlotzhauer 10
SESUG 1997 SAS/ASSIST Software for Beginners Sally M. Muller,
Arturo Barrios		 14
SEUGI 1997 A data management system for use in the pharmaceutical and biotechnology Industries Ellen Krantz source 12
SEUGI 1997 Data warehousing and reporting through the Internet/intranet in a transport company using SAS software Michael Jensen,
Ralph Eriksen		 source 8
SUGI 1997 A SAS Programmer's View of the SAS Supervisor H. Ian Whitlock source 11
SUGI 1997 Advanced Features of PROC REPORT Workshop Kim Kolbe Ritzow source 11
SUGI 1997 Creating an EIS in Less Than 2 Hours Deb Cassidy source 7
SUGI 1997 Creating Client-Friendly SAS Output Arthur C. Singer,
Caroline M. Bobik		 source 6
SUGI 1997 Creating Complex Graphics for Survival Analyses with the SAS System Steven E. Elkin,
William Mietlowski,
Kevin McCague,
Andrea Kay		 source 6
SUGI 1997 Errors, Warnings, and Notes (Oh My) A Practical Guide to Debugging SAS Programs Lora D. Delwiche,
Susan J. Slaughter		 source 10
SUGI 1997 From There to Here: Getting Your Data into the SAS System Andrew T. Kuligowski,
Nancy Roberts		 source 10
SUGI 1997 GUI to CRSP and COMPSTAT Data Peter C. C. Luan source 4
SUGI 1997 Having a Ball with Strings Ronald P. Cody source 8
SUGI 1997 Learning About Your Data: Tips and Techniques for Looking at Large Files Sandra D. Schlotzhauer,
Bob Anschuetz		 source
SUGI 1997 Macro and Sample Source Code to Wrap Character Variable Text Conditionally on Two Lines Within Data Null-generated Report Column(s) Robert Andresen source 3
SUGI 1997 Reading and Writing Character Data Craig Dickstein,
Marge Scerbo		 source 8
SUGI 1997 SAS Program Efficiency for Beginners Bruce F. Gilsen source 10
SUGI 1997 SAS/ASSIST Software for Beginners Sally M. Muller,
Arturo Barrios		 source 14
SCSUG 1996 Getting Started With SAS/EIS Software Destiny Corporation (a company) 9
SESUG 1996 A SAS Programmer's View of the SAS Supervisor H. Ian Whitlock 11
SESUG 1996 Introduction to Functions & Arrays Ken Currier 10
NESUG 1996 Field Content Verification Using SQL Dictionary Tables Jack N. Shoemaker 5
NESUG 1996 Having a Ball with Strings Ronald P. Cody 7
NESUG 1996 Practical Approaches to the Epi Info/SAS Software Link Margaret Ann Goetz 10
NESUG 1996 PROC REPORT: An Introduction to the Batch Language Ray Pass 10
NESUG 1996 Reading and Writing Character Data Craig Dickstein,
Marge Scerbo		 8
NESUG 1996 SAS ARRAYS: A Basic Tutorial Bruce F. Gilsen 9
NESUG 1996 SAS Dates: Dating Activities and Millennial Considerations August V. Treff 9
NESUG 1996 SAS Program Efficiency for Beginners Bruce F. Gilsen 10
WUSS 1996 Data Know Thyself: A Macro to Tell You Everything You Need to Know About Data Set Characteristics Karsten M. Self source 5
WUSS 1996 Dressing for Success with SAS Software Functions Faith Reneé Sloan source 5
WUSS 1996 GUI to CRSP and COMPUSTAT Data Peter C. C. Luan source 4
WUSS 1996 What's Bugging You?: A Guide to Debugging SAS Programs Susan J. Slaughter,
Lora D. Delwiche		 source 10
PNWSUG 1996 Providing Extended Help in FSEDIT Sessions Paul D. Hamilton 3
SUGI 1996 A Macro That Prevents Column Overwriting Brian L. Bournival,
Henry B. Winsor		 source 3
SUGI 1996 A Productive Word Wrap Macro Frank Liu,
Monte E. Jarvis		 source 4
SUGI 1996 Advanced Features of PROC REPORT Workshop Kim L. Kolbe Ritzow source 11
SUGI 1996 Advanced Topics in PROC REPORT Christopher Yindra source 10
SUGI 1996 Arrays: APowerful Time Saver Ronald P. Cody source 7
SUGI 1996 Data Transfer between SAS Software and Other PC Software J. Michael Miscisin source 5
SUGI 1996 Hands-on Workshop for the FSEDIT and FSVIEW Procedures Marge Scerbo,
Alan C. Wilson		 source 7
SUGI 1996 PROC REPORT: An Introduction to the Batch Language Ray Pass source 10
SUGI 1996 Reading and Writing Character Data Craig Dickstein,
Marge Scerbo		 source 8
SUGI 1996 SAS Program Efficiency for Beginners Bruce F. Gilsen source 10
SUGI 1996 The Secret Life of the DATA Step Thomas A. Miron source 3
SCSUG 1995 Data Entry and Data Transform Errors -- What They Are, How to Prevent Them, and How to Correct Them Iris McPherson 10
MWSUG 1995 Advanced Features of PROC REPORT Kim L. Kolbe Ritzow 7
MWSUG 1995 Data Management and Manipulation: Examples for Normalized Databases and Spreadsheets Marlene Goormastic,
Shelly Sapp		 6
MWSUG 1995 DSGI: Some Helpful Hints Deb Cassidy 10
MWSUG 1995 MACRO Facility Enhancements for Release 6.11 Jeffrey A. Polzin,
Susan M. O'Connor		 10
NESUG 1995 A Macro Which Transposes Data Beyond what PROC TRANSPOSE Can Do Yen L. Ouyang 2
NESUG 1995 Advanced Features of PROC REPORT in Batch Mode Christopher Yindra 10
NESUG 1995 An Introduction to PROC FSEDIT and PROC FSVIEW Alan C. Wilson 7
NESUG 1995 Cooperative File Interfaces: How SAS & BMDP Can Work Together On VAX/VMS Thalene T. Mallus 10
NESUG 1995 More Advanced Features of PROC REPORT Kim L. Kolbe Ritzow 6
NESUG 1995 Novel Uses of Extended Tables in SAS-AF Program Entries James K. Schwar 7
NESUG 1995 Retrieving Data from Large DB2 Tables Based on Keys in SAS: The Sequel Judy Loren,
Jack N. Shoemaker		 10
NESUG 1995 SAS Program Efficiency for Beginners Bruce F. Gilsen 11
NESUG 1995 Using SAS with SYBASE For Database Management Yusuf M. Mohanedshah,
Carolyn D. Williams		 8
SESUG 1995 Extended Uses of the CONTENTS Procedure Steven A. Wright 5
SEUGI 1995 Management of Patient Files in Psychiatric Institutions with the SAS System Sabrina Buellens source 12
SUGI 1995 A Comparison of the MODULE Routines with S-PLUS Extensibility Richard D. Langston source 4
SUGI 1995 Advanced Features of PROC REPORT Kim L. Kolbe Ritzow source 10
SUGI 1995 An Introduction to PROC FSEDIT and FSVIEW Marge Scerbo,
Alan C. Wilson		 source 7
SUGI 1995 An Introduction to the Power of PROC FSEDIT Michael S. Lajiness source 6
SUGI 1995 DSGI: Some Helpful Hints Deb Cassidy source 10
SUGI 1995 MACRO Facility Enhancements for Release 6.11 Jeffrey A. Polzin,
Susan M. O'Connor		 source 10
SUGI 1995 Techniques for Efficiently Accessing and Managing Data Steven A. Wilson source 10
SUGI 1995 Using Indexes for Direct Access to SAS Datasets Judy Loren source 7
SCSUG 1994 Creating an Autocall Macro to Convert SAS Datasets to Text Delimited Files Doyle McDonald 9
SCSUG 1994 New Tricks for an Old Tool: Using Custom Formats for Data Validation and Program Efficiency S. David Riba 8
WUSS 1994 Calling External Modules from the SAS System Richard D. Langston source 4
WUSS 1994 Elements of Good Programming Style Amy Caron source 3
WUSS 1994 Speedy Data Retrieval and Display in a SAS/AF System: A Case Study Louise Weiler,
Standish Sibley,
Tim Berryhill		 source 4
WUSS 1994 Techniques for Efficiently Accessing and Managing Data Steven A. Wilson source 10
NESUG 1994 Avoiding, Accepting and Taking Advantage of Missing Data Warren Repole Jr. 10
NESUG 1994 Data Selection Techniques in SAS/AF: Making Users' Lives Easier Scott Rompala 8
NESUG 1994 New Tricks for an Old Tool: Using Custom Formats for Data Validation and Program Efficiency S. David Riba 8
NESUG 1994 Reading External Files Using SAS Software Clinton S. Rickards 9
NESUG 1994 SAS Macros for (Clinical) Database Checking and Listing Sam X. Ye 11
MWSUG 1994 Advanced Features of PROC REPORT Kim L. Kolbe Ritzow 10
MWSUG 1994 New Tricks for an Old Tool: Using Custom Formats for Data Validation and Program Efficiency S. David Riba 8
SESUG 1994 New Tricks for an Old Tool: Using Custom Formats for Data Validation and Program Efficiency S. David Riba 8
SEUGI 1994 The SAS System: A Complete Client/Server Solution Cheryl A. Garner source 11
SUGI 1994 Avoiding, Accepting and Taking Advantage of Missing Data Warren Repole Jr. source 9
SUGI 1994 Calling External Modules from the SAS System Richard D. Langston source 12
SUGI 1994 Creating Character Collating Sequences Using the Translate Function Gary L. Katsanis source 2
SUGI 1994 Data Selection Techniques in SASjAF: Making Users' Lives Easier Scott Rompala source 9
SUGI 1994 Insuring Down-sizing Is Right-sizing with SAS/OR Software Douglas L. McAllaster,
Andy Parks		 source 5
SUGI 1994 Strings, Delimiters, and Difficult Data Lary Jones source 6
SUGI 1994 Techniques for Efficiently Accessing and Managing Data Steven A. Wilson source 6
SUGI 1994 The Annotate Facility: A Quick Start to an Easy Overview Arthur L. Carpenter source 6
NESUG 1993 A Utility Program that Generates Descriptive Statistics on the Attributes of SAS Variables Larry Specht,
Charles K. Skee		 11
NESUG 1993 An Introduction to SAS Functions Ronald P. Cody 6
NESUG 1993 Calculating Missing Value Counts Loren Lidsky 2
NESUG 1993 Moving Your Names Without Losing An Alias Lary Jones 5
NESUG 1993 Using the REVERSE and SUBSTR Features of SAS Jean LaFrance 2
WUSS 1993 180 Terrific Ideas for Using and Learning the SAS System Helen D. Carey,
Ginger Carey		 source 6
MWSUG 1993 Efficent Use of Data Storage with SAS Eric Webster 9
MWSUG 1993 PC Data Conversion: Avoiding the Pitfalls Daniel R. Bretheim 6
MWSUG 1993 Techniques for Distributed Application Development Cheryl A. Garner 10
SEUGI 1993 Analysing Multiple Response Survey Data: An Overview of Strategies and Methods Paul E. Pope source 8
SUGI 1993 An Automation Procedure to Create Codebook and SAS Files from Questionnaires Eric Yu I. Wang,
Chih-Ping Chou,
Meliessa M. Jordan		 source 4
SUGI 1993 An Introduction to Compressing Data Sets Juliana M. Ma source 5
SUGI 1993 Beyond Column Input: Advanced Techniques with the INFILE and INPUT Statements Kathy McLeod,
Nancy Mae Bonney		 source 10
SUGI 1993 Clinical Data Processing Efficiency Techniques Denis Michel source 6
SUGI 1993 DELPAGE: A SAS Macro to Delete Page Breaks in SAS Output Victor Kamensky source 3
SUGI 1993 Moving Your Names Without Losing An Alias Lary Jones source 5
SUGI 1993 PC Data Conversion: Avoiding the Pitfalls Daniel R. Bretheim source 6
SUGI 1993 PROC REPORT: An Introduction to the Batch Language Ray Pass source 10
SUGI 1993 SAS/LAB Software for Guided Data Analysis Wayne E. Watson,
Katherine J. Roggenkamp,
Randall D. Tobias		 source 7
SUGI 1993 Understanding the Transpose Procedure Susan P. Repole source 5
SUGI 1993 Using the SAS DATA Step Language to Read dBASE III Files Michael C. Harris source 7
SESUG 1993 Using Custom Pull-Down Menus with SCL Selection Lists Paul Dalberth 3
SCSUG 1992 Converting SAS Data Sets with Label Information to ASCII Files Glenn Millard 10
NESUG 1992 Obtaining P-Values for Clinical Research Efficacy Reports Denis Michel 6
NESUG 1992 SAS Screen Control Language: A Gentle Introduction Jean Hardy 6
NESUG 1992 Using SAS Character and List Functions to Extend the SAS Systems: Macro-Programming of Useful Functions Sigurd W. Hermansen 8
NESUG 1992 Using SAS to Create Secondary Merge Files for Wordperfect 5.1 Charles A. DePascale,
Jim H. Jagielski		 2
NESUG 1992 Using the PUT Functions to Recode Variables Ronald P. Cody 2
NESUG 1992 Using the SAS DATA Step Language to Read dBASE III Files Michael C. Harris 7
MWSUG 1992 PROC REPORT: An Introduction to the Batch Language Ray Pass 10
SEUGI 1992 Guided Data Analysis with SAS/LAB Software Gerhard Held source 7
SUGI 1992 An Easy-to-Use Double-Entry Routine Trent L. McDonald source 6
SUGI 1992 Efficient SAS Software Programming: A Version 6 Update Jean Hardy source 5
SUGI 1992 Getting It and Keeping It with SAS Software-Advanced Strategies Sally M. Muller,
Kenneth A. Hardy,
Keith J. Brown		 source 7
SCSUG 1991 All About Strings Rhena Seidman 5
NESUG 1991 All About Strings Rhena Seidman 5
NESUG 1991 An Introduction to SAS Functions Ronald P. Cody 10
NESUG 1991 Efficient Programming Revistited: A Review of Performance-Enhancing Features in Version 6.06 Frank C. DiIorio,
Paul Dalberth		 9
NESUG 1991 Efficient SAS Software Programming: A Version 6 Update Jean Hardy 5
NESUG 1991 Introduction to Efficient Programming Techniques David S. Septoff,
Paige Valentine-Query		 5
NESUG 1991 Using SAS Character and List Functions to Extend the SAS Systems Par I. Data Step Applications Sigurd W. Hermansen 6
MWSUG 1991 An Introduction to SAS Functions Ronald P. Cody 10
MWSUG 1991 Efficient Programming Revisited: A Review of Performance-enhancing Features in Version 6.06 Frank C. DiIorio,
Paul Dalberth		 9
MWSUG 1991 Everything You Can Do with Strings Rhena Seidman 5
MWSUG 1991 Using the SAS BMDP and SPSS Interface Engines under VMS Barbara B. Okerson 4
SUGI 1991 A Window-based Graphics Toolkit Using SAS/IML Software Charles B. Hallahan source 9
SUGI 1991 An Introduction to SAS Functions Ronald P. Cody source 6
SUGI 1991 Analyzing a Survey: A Bunch of Tips for a Mess of Questions William G. LeBlanc source 4
SUGI 1991 Efficiency Revisited: Large Files and Release 6.06 Juliana M. Ma source 6
SUGI 1991 Interactive Terminal I/O Techniques in the DATA Step Using Base SAS Software in the VMS Environment Ken Larsen source
SUGI 1991 Picking the Right Informat for Numeric Data Jack Hamilton source 3
SUGI 1991 SAS Software Puzzles '91: The Debugging Continues Warren Repole Jr. source 7
NESUG 1990 A Window-based Graphis Toolkit Using SAS/IML Charles B. Hallahan 5
NESUG 1990 Advanced Input Techniques Judith H. Mopsik,
Jeffrey Phillips		 8
NESUG 1990 Basics of the INPUT Statement Robert Virgile 7
NESUG 1990 Efficient SAS Software Programming: A New Synthesis Jean Hardy 8
NESUG 1990 Say It With Math: Streamlined and Modularize Your SAS Data Step Code with Algorithms Michael C. Hein 4
SEUGI 1990 TAXSY - A Rule Based Expert System Shell in SAS Software Paul Darius source 4
SUGI 1990 Comparing Two Files Humberto Mendez,
Peter Russell		 source 7
SUGI 1990 Real Men Do Use Menus: Developing Applications with SAS/AF Software Kenneth E. Johnson source 9
SUGI 1990 Table Lookup without a Table Joseph A. Damico source 4
SUGI 1990 Using the SAS System for Data Collection under the VMS'"Operating System Ed Blair source 8
SUGI 1990 Using the SAS System to Develop Some Experimental CASE Tools Michael K. Burns,
Hoy W. Rogers		 source 10
SUGI 1990 Working with Arrays Ronald P. Cody source 7
NESUG 1989 Converting Data Between "Foreign" Formats and SAS System Files Ronald P. Cody 8
SEUGI 1989 Application Development With SAS Software On The PC Computer Aided Production Planning Daniel J. Meier source 10
SUGI 1989 DIFF: A SAS Program for Comparing Versions of Programs Ted Clay source 3
SUGI 1989 Enhancing the Visual Impact and Clarity of Graphics Output Using the Customizing Power of the Annotate = Data Set Karen Lacy Helsel source 6
SUGI 1989 Harvesting Information: Data Cleanup and Analysis Techniques Gary F. Plazyk source 6
SUGI 1989 Modular Programming Processes New - Traffic Data into SAS Database Gary R. Cowan,
Barbara C. Hertzog		 source 6
SUGI 1989 The Case for Guidelines: A SAS System Style Primer Frank C. Dilorio source 6
SUGI 1989 The DATA Step Graphics Interface Jade Walker source 6
SUGI 1988 An Imputation System for a Large-Scale Survey Eugene M. Burns,
Doug Valcour		 source 6
SUGI 1988 Creating a SAS@ Language-Sensitive Editor LeAnn P. Weaver source 4
SUGI 1988 Developing Full-Screen SAS/C' Applications on the IBM Mainframe Pat Graham source 5
SUGI 1988 Elements of Good Programming Style Amy Caron source 3
SUGI 1988 Strategies for Shrinking PC Data Sets and Finding More Free Bytes James P. Young Jr. source 6
SUGI 1988 Windows without Pains Ross Merlin source 4
SUGI 1987 A Sample Application for the New INFILE/FILE User Exit for IBM Mainframes Susan Marshall source 5
SUGI 1986 Computerized Clinical Data Bank Networks Bruce Guthrie,
Christine L. Wolf		 source 5
SUGI 1986 What SAS Software Does and Doesn't Do: Things Your Mother Never Told You Calvin D. Croy source 4
SUGI 1985 An Interactive Technique for Copying and Modifying SAS/FSP Screen Data Set Definitions Phil Brennan,
Michael Cushman		 source
SUGI 1985 Enhancing Printout of SAS Data Sets Using Macros Gary Vair source 6
SUGI 1985 FSCONTENTS-Full Screen Editing for PROC CONTENTS Gary Vair source 4
SEUGI 1984 Effective Use of SAS Mogens Weinreich source 11
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 SAS Processing Techniques Tom Krysak,
David Riave		 source 6
SUGI 1983 A Program to Read SPSS-X' System Files Grant Blank,
Andrew A. Norton		 source 5
SUGI 1983 Accessing Vendor and User-written Subroutines with SAS Richard A. Boro,
Elaine S. Pretz		 source 6
SUGI 1983 LDMS: A Set of SAS Procedures for Longitudinal Data Management Philip S. Dow source 6
SUGI 1982 SAS Programs that Write Other Programs Juan E. Ruz source
SUGI 1979 A Recode Procedure for SAS Douglas D. Cockrell,
Ione H. Cockrell		 source 2
SUGI 1979 Management of Evolving Ecological Data Sets with SAS: An Open-ended Management Approach Karen L. Daniels,
Michael P. Farrell,
A. Dale Magoun		 source 8
SUGI 1977 PROC DAMCOE - SAS 72 Procedure for Landsat Registration Paul D. Hopkins source 4

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