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312 papers and 9 presentations; 279 titles.

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Conference × Year × Title × Authors Extras Pages
WUSS 2026 Speeding Up Your Validation Process is As Easy As 1, 2 and 3 Alice M. Cheng source 23
PharmaSUG CN 2026 A Desktop Application for Automating PDT Management, SAS Execution, and Report Assembly Mingjie Fu source 5
PharmaSUG 2026 %Compare_counts: A Macro for Speeding Up the QC Process When Proc Compare Slows it Down Michael Garside source 6
PharmaSUG 2026 Applications of PROC COMPARE to Parallel Programming and other projects Jayanth Iyengar source 21
PharmaSUG 2026 DOSEON: Fuzzy Matching DOSE Date Intervals ON Analysis Dates Across SAS (PROC SQL, SAS Macro, DATA Step, and PROC FCMP) Inka Leprince,
Troy Martin Hughes		 source 39
PharmaSUG 2026 Has your SAS being 'MEAN' to your data yet? Ruth Marisol Rivera Barragan,
Isaac Vazquez		 source 8
PharmaSUG 2026 One Word Can Make All the Difference(s): Strengthening Validation Practices with PROC COMPARE John M. LaBore,
Joshua M. Horstman		 source 5
PharmaSUG 2026 Speeding Up Your Validation Process is As Easy As 1, 2 and 3 Alice M. Cheng source 19
PharmaSUG 2026 Transitioning from SAS to R: Implementing Reproducible R Workflows for TLF Validation Poornima Alavandi source 17
PHUSE US 2026 A Proc Compare Enhancement Macro Chris Weiner source
presentation source		 12
PHUSE US 2026 AI-Optimised AESI Flagging: Streamlined SAS Hash Table Logic with Dynamic CALL EXECUTE and Metadata-Driven Specifications Hang Zhong,
Rashad Rasul,
Jiaqi Hu		 source
presentation source		 12
PHUSE US 2026 Automated File Comparison and Validation Across Programming Platforms Darrell Edgley,
Padma Kishan Korsapati		 source
presentation source		 16
PHUSE US 2026 Batch Cleaning of SAS Programs for Submission Readiness: An AI and Python Hybrid Approach Qiong Wei,
Qisen Luan		 source
presentation source		 9
PHUSE US 2026 Fuzzy Matching DOSE Date Intervals ON Analysis Dates Across SAS (DATA Step, PROC SQL, SAS Macro, and PROC FCMP) Inka Leprince,
Troy Martin Hughes		 source
presentation source		 32
PHUSE APAC 2026 Automated Comparison of EDC Transfers: Identifying Data Changes Across Versions Malavika Biju,
Vignesh V. Gopal,
Rahulraj Raju		 source
presentation source		 6
PHUSE EU 2025 Detecting Logical Errors in Clinical Programming by Applying ChatGPT Illia Skliar source
presentation source		 9
PHUSE EU 2025 Floating Points Are as Easy as 01, 10, 11! Chloe Floodgate source
presentation source		 5
MWSUG 2025 Applications of PROC COMPARE to Parallel Programming and other projects Jayanth Iyengar source 21
MWSUG 2025 Highlighting the Differences: PROC COMPARE in Excel Jane Eslinger source 12
MWSUG 2025 Making a Readable PROC COMPARE Report in Excel Jane Eslinger source 27
SESUG 2025 Selective SAS Option Restoration with PROC COMPARE and PROC OPTLOAD John Henry King 7
WUSS 2025 Applications of PROC COMPARE to Parallel Programming and other projects Jayanth Iyengar source 21
WUSS 2025 Highlighting the Differences: PROC COMPARE in Excel Jane Eslinger source 12
WUSS 2025 Making a Readable PROC COMPARE Report in Excel Jane Eslinger source 27
PharmaSUG 2025 Achieving Reliable Data Verification with R: Proven Tools, Best Practices, and Innovative Workflows Valeria Duran,
Xuehan (Emily) Zhang		 source 15
PharmaSUG 2025 Streamlining Validation Review and SAS Program Management with R Huei-Ling Chen source 11
PHUSE US 2025 Efficient TFL Review within Statistical Programming - Using R and SAS Siddharth Kumar source
presentation source		 8
MWSUG 2024 NHANES Dietary Supplement component: a parallel programming project Jayanth Iyengar source 20
PHUSE EU 2024 A way out of the PROC COMPARE labyrinth Judith Kanz source
poster source		 9
SESUG 2024 Comparative Tools in SAS: Analyzing Self-Reported versus Imputed Values Neesha Nathwani,
Sarah Woodruff		 source 30
SESUG 2024 NHANES Dietary Supplement component: a parallel programming project Jayanth Iyengar source 20
WUSS 2024 inspectoR: QC in R? No Problem! Steve Wade,
Sudhir Kedare		 source 7
WUSS 2024 It's All About the Base-Procedures Jane Eslinger source 20
PharmaSUG CN 2024 A Method to Compare the RTF Files in Batch Mode and Generate a Checklist and Tracked RTF Files as Comparison Outputs Sachiel Li,
Xinran Tang		 source 11
PharmaSUG CN 2024 One-stop solution for QA - Automation Tool by Python Yangxue Ma source 5
PharmaSUG CN 2024 Seeing is not always believing - The data you observe and the encoding behind its storage in SAS Tiantian He source 8
PharmaSUG 2024 inspectoR: QC in R? No Problem! Steve Wade,
Sudhir Kedare,
Chen Yang,
Matthew Travell,
Jagan Mohan Achi		 source 7
PharmaSUG 2024 Utility Macros for Data Exploration of Clinical Libraries Matt Maloney source 14
PHUSE US 2024 An Efficient Way of Managing the Execution and QC of SAS Programs in Multiple Folders Wei Qian,
Danny Hsu		 source
poster source		 2
PHUSE EU 2023 Validating Outsourced Programming Tasks by Comparing SAS Datasets Without PROC COMPARE Herman Ament source
presentation source		 5
PharmaSUG 2023 A SAS System Macro to Quickly Display Discrepant Values that are too Long for the COMPARE Procedure Output. Kevin R. Viel source 20
PharmaSUG 2023 Automation of Validation of QC Plan Entries and Managing SAS Programs Venkatesh Nemalipuri,
Ateet Shah		 source 8
PharmaSUG 2023 SAS System Macros to Summarize the COMPARE Procedure Results and SAS Logs for a Directory or Single File. Kevin R. Viel source 41
PharmaSUG 2023 Validating novel maraca plots - R and SAS love story Nicole Major,
Srivathsa Ravikiran,
Monika Huhn,
Samvel Gasparyan,
Martin Karpefors		 source 17
PHUSE EU 2022 Shiny-tise Your PROC COMPAREs: An Interactive Shiny Application for Data Review and Comparisons [presentation] Paul Jenkins source
video		 34
PHUSE EU 2022 Validation Tools Assemble - Proc Compare No Longer Enough to Save the Day On Its Own! Eoin Byrne,
Peter Crumey		 source
poster source		 7
SESUG 2022 Utility Macros to Check for Changes in Macro Variables, Options, or Formats in SAS Aaron Brown source 9
WUSS 2022 Putting the Meta into the Data: Managing Data Processing for a Large Scale CDC Surveillance Project with SAS Louise S. Hadden source 18
WUSS 2022 SAS as a Tool in Data Curation: A Case Example with the Inter-university Consortium for Political and Social Research Piotr Krzystek source 5
PharmaSUG 2022 Checking Compliance of CDISC SDTM Datasets Utilizing SAS Procedures. Ballari Sen source 17
PHUSE EU 2021 A case of mistaken ID: reimagining rescreenings and reenrollments Matt Metherell source
video
presentation source		 5
PHUSE EU 2021 Fingerprinting Your TFL Outputs to Monitor Changes Between Batch Runs [presentation] Pamphile Beaujean source
video		 20
PHUSE EU 2021 Learnings Using R for Creating CDISC Data for Analysis and Reporting Purposes! [presentation] Gustav Söderström,
Nicole Major		 source
video		 23
PHUSE EU 2021 When PROC COMPARE is not enough - the fast check of variables discrepancy through thousands of observations Roman Chekhun source
video
presentation source		 7
SESUG 2021 NHANES Dietary Supplement component: a parallel programming project Jayanth Iyengar source 20
PHUSE US 2021 Good Cooperation Between SAS and R for Regulatory Submission [presentation] Jingyuan Chen source
video		 19
PharmaSUG 2021 Manage SAS Log in Clinical Programming Yuping Wu source 4
PharmaSUG 2021 NHANES Dietary Supplement component: a parallel programming project Jayanth Iyengar source 20
PharmaSUG 2021 Only Get What You Need - To Simplify Analysis Data Validation Report from PROC COMPARE Output Wenjun He source 12
PharmaSUG 2021 Overcoming the Challenge of SAS Numeric Date Comparisons Shikha Sreshtha source 7
PHUSE EU 2020 A SAS Solution to Compare Folders Instead of Single Datasets Guido Wendland source
video		 6
PHUSE EU 2020 Effective Data Integrations [poster] Kirsty Wall,
Nicola Perry		 source
video		 1
PHUSE EU 2020 R You Sure? [poster] Steven Mackness source
video		 1
PHUSE EU 2020 Testing, Testing [presentation] Ismini Charalambous source
video		 33
SESUG 2020 NHANES Dietary Supplement component: a parallel programming project Jayanth Iyengar source 20
SGF 2020 Minimizing Environmental Disturbances: Applying Leave No Trace Principles to SAS Programming Carl Sommer source 11
SGF 2020 Teaching SAS Coding with Self-Checking Exercises Jared Dean source 11
SGF 2020 Tips, Traps, and Techniques in BASE SAS for vertically combining SAS data sets Jayanth Iyengar source 18
PharmaSUG 2020 A SAS macro for tracking the Status of Table, Figure and Listing (TFL) Programming Yuping Wu,
Sayeed Nadim		 source 4
PharmaSUG 2020 Data Library Comparison Macro %COMPARE_ALL Jeffrey P. Meyers source 6
PharmaSUG 2020 Highlight changes: An extension to PROC COMPARE Abhinav Srivastva source 4
PharmaSUG 2020 NHANES Dietary Supplement component: a parallel programming project Jayanth Iyengar source 18
PHUSE US 2020 Automation of Quality Checks for Ongoing CSR Data Lavanya Peddibhotla,
Savithri Jajam		 source
presentation source		 9
PHUSE US 2020 Leveraging Metadata for SDTM QC Automation Sunil Kumar Gupta source
presentation source		 5
PHUSE US 2020 MACRO TRIO IN SAS - DATASET COMPARISON AND REPORTING Nagaraju Mancha source
presentation source		 11
PHUSE EU 2019 Quality Control and Validation - More Than Just PROC COMPARE Evgeny Starostin source
poster source		 7
SESUG 2019 HOW AM I DIFFERENT? Kannan Deivasigamani source 17
WUSS 2019 Tips for Correctly and Efficiently Comparing Two Files in SAS Aaron Brown source 8
PharmaSUG 2019 It's All About the Base-Procedures Jane Eslinger source 20
SGF 2019 It's All About the Base-Procedures Jane Eslinger source 21
SGF 2019 Tips, Traps, and Techniques in BASE SAS for vertically combining SAS data sets Jayanth Iyengar source 18
SCSUG 2018 Automated Validation of Complex Clinical Trials Made Easy Richann J. Watson source 35
SCSUG 2018 PROC COMPARE: What Did I Inadvertently Change? Melissa R. Pfeiffer source 11
PHUSE EU 2018 Developing an End-to-End Standard and Automated Risk-based Monitoring Process Giuseppe Di Monaco,
Tim P. Williams		 source
presentation source		 11
PHUSE EU 2018 Program Validation - Care for a Black Sheep Andrea Weber source
poster source		 8
SESUG 2018 Dynamic Program Tracker Tanmay Khole,
Saigovind Chenna		 source 5
MWSUG 2018 Tips, Traps, and Techniques in BASE SAS for vertically combining SAS data sets Jayanth Iyengar 18
MWSUG 2018 What's the Difference? Using the PROC COMPARE to find out. Larry Riggen 19
WUSS 2018 OUT= is in: Visualizing PROC COMPARE Results in a Dataset Varaprasad Ilapogu,
Masaki Mihaila		 source 7
WUSS 2018 Validating User-Submitted Data Files with Base SAS Michael A. Raithel source 16
PHUSE US 2018 Convert the Clinical SAS datasets from RTF files [presentation] Murali Neela source 10
PHUSE US 2018 Identification of New Information in a Data Based on a Data Point Level Eric Kammer,
Thomas Binnen		 source
presentation source		 3
PharmaSUG 2018 Automated Validation of Complex Clinical Trials Made Easy Richann J. Watson,
Joshua M. Horstman		 source 35
PharmaSUG 2018 SASsy Data Checks Amie Bissonett source 4
PharmaSUG 2018 What makes a good QC Programmer? Timothy J. Harrington source 8
SGF 2018 Identifying Duplicate Variables in a SAS Data Set Bruce F. Gilsen source 15
SGF 2018 The Power of Testing! An Automated SAS Enterprise Guide System for Testing Karine Désilets source 23
SGF 2018 Validating User-Submitted Data Files with Base SAS Michael A. Raithel source 16
SESUG 2017 Automated Validation of Complex Clinical Trials Made Easy Richann J. Watson source 35
SESUG 2017 Beginner Beware: Hidden Hazards in SAS Coding Alissa Wise source 7
SESUG 2017 Identifying Duplicate Variables in a SAS Data Set Bruce F. Gilsen source 15
SESUG 2017 Quality Control in SAS: Checking Input, Work, and Output Aaron Brown source 11
PHUSE EU 2017 Programming Solutions when Developing a Database Compare Macro Michael S Rimler source
presentation source		 8
PHUSE EU 2017 Streamline SDTM Development and QC Stephen Gormley source
presentation source		 9
PHUSE EU 2017 The TFL Workbench:From Pilot to Production Iain Humphreys,
Hansjörg Frenzel		 source
presentation source		 11
MWSUG 2017 Automated Validation of Complex Clinical Trials Made Easy Richann J. Watson,
Joshua M. Horstman		 35
WUSS 2017 Automated Validation of Complex Clinical Trials Made Easy Richann J. Watson,
Joshua M. Horstman		 source 34
WUSS 2017 Programming Triage: Rooting Out Dataset Discrepancies in the Validation Process Julia Sturgeon source 7
WUSS 2017 Quality Control of Clinical Data Listings with PROC COMPARE Robert Bikwemu,
Nicole Wallstedt		 source 7
WUSS 2017 Validation Method Selection, Not Just a 'Match' Rituraj Saxena,
Jeanina M. Worden		 source 9
PharmaSUG CN 2017 How to read RTF files into SAS dataset? Zhao Chunpeng 7
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 Data Change Report Eric Kammer source 5
PharmaSUG 2017 Data Monitoring Committee Report Programming: Considering a Risk-Based Approach to Quality Control Amber Randall,
Bill Coar		 source 9
PharmaSUG 2017 Dear Dave, Please See the .LST File for Our Validation Differences. Thanks, Bad Validation Programmer Tracy Sherman,
David W. Carr,
Brian P. Fairfield-Carter		 source 9
PharmaSUG 2017 Obtaining an Automated Summary of PROC COMPARE Results: &SYSINFO and VB Script Umesh Gautam,
Jeff Roberts		 source 5
SGF 2017 Automate Validation of CDISC SDTM with SAS Sy J. Truong source 11
SCSUG 2016 PRESTO! CHANGEO! Making Data Transformations Look Like Magic Patricia Hettinger source 13
SESUG 2016 A Five-Step Quality Control Method: Checking for Unintended Changes to SAS Datasets Aaron Brown source 4
SESUG 2016 Are You Sure That Is Correct?: An Overview Of Good Practices For Dataset And Output Validation Gregory Weller source 8
SESUG 2016 What Do You Mean My CSV Doesn't Match My SAS Dataset? Patricia Guldin source 10
PHUSE EU 2016 Keeping Track of Database Changes During Database Lock Sanjiv Ramalingam source
presentation source		 6
PHUSE EU 2016 The Data Detective: Hints and Tips for Independent Programming QC Bethan Thomas source 11
MWSUG 2016 How to Speed Up Your Validation Process Without Really Trying Alice M. Cheng,
Mike Wise		 22
WUSS 2016 .LST Files with Proc Compare Result Phaneendhar Reddy Vanam,
Manvitha Yennam,
Srinivas Vanam		 source 6
WUSS 2016 Don't Forget About Small Data Lisa Eckler source 15
WUSS 2016 Don't Get Blindsided by PROC COMPARE Roger D. Muller,
Joshua M. Horstman		 source 7
WUSS 2016 Finding All Differences in two SAS libraries using Proc Compare Bharat Kumar Janapala,
Individual Contributor		 source 9
WUSS 2016 How to Speed Up Your Validation Process Without Really Trying Alice M. Cheng,
Mike Wise,
Justina M. Flavin		 source 20
WUSS 2016 What just happened? A visual tool for highlighting differences between two data sets. Steve Cavill source 18
PharmaSUG 2016 Data Validation: Bolstering Quality and Efficiency Anusuiya Ghanghas,
Houde Zhang,
Rajinder Kumar		 source 3
PharmaSUG 2016 Go Compare: Flagging up some underused options in PROC COMPARE Michael Auld source 14
PharmaSUG 2016 My First Job Dos-and-Don'ts: A Survival Guide for Your First Statistical Programming Job in the Industry Assir Abushouk,
Thu-Nguyen Nguyen		 source 4
PharmaSUG 2016 Superior Highlighting: Identifying New or Changed Data in Excel Output using SAS Kim Truett source 8
SGF 2016 3N Validation to Validate PROC COMPARE Output Amarnath Vijayarangan source
presentation		 7
SGF 2016 How to Speed Up Your Validation Process Without Really Trying Alice M. Cheng,
Justina M. Flavin,
Michael Wise		 source 20
PHUSE EU 2015 Dataset-XML - A New CDISC Standard for Data Exchange Julie A. Maddox,
Lex Jansen		 source
presentation source		 16
SESUG 2015 Don't Forget About Small Data Lisa Eckler,
Lisa Eckler		 source 15
SESUG 2015 You've Got Mail: Automating SAS from an Email Peter P. Davis source 12
WUSS 2015 3N Validation to Validate PROC COMPARE Output Amarnath Vijayarangan source 6
WUSS 2015 How to Speed Up Your Validation Process Without Really Trying Alice M. Cheng source 23
WUSS 2015 You Say 'Day-ta', I Say 'Dat-a' - Measuring Coding Differences, Considering Integrity and Transferring Data Quickly Mary Federico Katz,
Jason R. Beene		 source 13
PharmaSUG CN 2015 SAS Tools for Working with Dataset-XML files Lex Jansen 18
PharmaSUG 2015 Automated Checking Of Multiple Files Kathyayini Tappeta source 7
PharmaSUG 2015 Don't Get Blindsided by PROC COMPARE Joshua M. Horstman,
Roger D. Muller		 source 7
PharmaSUG 2015 Mlibcompare - keep an eye on the changes of your data Wen Shi source 29
PharmaSUG 2015 Proc Compare: Wonderful Procedure! Anusuiya Ghanghas,
Rajinder Kumar		 source 12
PharmaSUG 2015 SAS Tools for Working with Dataset-XML files Lex Jansen source 18
PharmaSUG 2015 Team-work and Forensic Programming: Essential Foundations of Indestructible Projects Brian P. Fairfield-Carter source 14
PharmaSUG 2015 Which TLFs Have Changed Since Your Previous Delivery? Get a Quick YES or NO for Each TLF Tom Santopoli source 7
SGF 2015 A Metadata to Physical Table Comparison Tool David Moors source
zip		 15
SGF 2015 Need Additional Statistics in That Report? ODS OUTPUT to the Rescue! Debbie Buck source 12
SGF 2015 You Say 'Day-ta', I Say 'Dat-a' - Measuring Coding Differences, Considering Integrity and Transferring Data Quickly Jason R. Beene,
Mary Federico Katz		 source 14
PHUSE EU 2014 Consistent Data Delivery Thevaki Mahedevan source
presentation source		 7
WUSS 2014 PROC COMPARE: What Did I Inadvertently Change? Melissa R. Pfeiffer source 10
WUSS 2014 TLF Validation Etiquette:What to Say, When to Say, How to Say, Why to Say Karen Walker source 10
WUSS 2014 You Say 'Day-ta', I Say 'Dat-a' - Processing Your DATA Efficiently and Ensuring Its Integrity Mary Federico Katz,
Jason R. Beene		 source 12
PharmaSUG 2014 A SAS Macro Tool for Visualizing Data Comparison Results in an Intuitive Way Hui Wang,
Weizhen Ying		 source 12
PharmaSUG 2014 Automated Validation - Really? Sneha Sarmukadam,
Seeja Shetty		 source 5
PharmaSUG 2014 Compare Without PROC COMPARE Sri Pavan Vemuri source 8
PharmaSUG 2014 Reducing Variable Lengths for Submission Dataset Size Reduction Sandra VanPelt Nguyen source 6
PharmaSUG 2014 SAS as a Tool to Manage Growing SDTM+ Repository for Medical Device Studies Julia Yang source 12
PharmaSUG 2014 TLF Validation Etiquette:What to Say, When to Say, How to Say, Why to Say Karen Walker source 10
PharmaSUG 2014 Validating Analysis Data Set without Double Programming - An Alternative Way to Validate the Analysis Data Set Linfeng Xu,
Christina Scienski		 source 15
PharmaSUG 2014 What do you mean 0.3 doesn-t equal 0.3? Numeric Representation and Precision in SAS and Why it Matters Paul Stutzman source 6
SGF 2014 Don't Get Blindsided by PROC COMPARE Joshua M. Horstman,
Roger D. Muller		 source 7
WUSS 2013 An Abbreviated PROC COMPARE with Traffic Lighting William Conover source 8
SCSUG 2013 Macro utility to compare multiple SAS datasets Krish Krishnan source 8
SESUG 2013 Imputing Dose Levels for Adverse Events John R. Gerlach,
Igor Kolodezh		 source 8
PHUSE EU 2013 ProjectTrackItL Automate your Project using SAS Abhishek Bakshi source
presentation source		 9
MWSUG 2013 Don't Get Blindsided by PROC COMPARE Joshua M. Horstman,
Roger D. Muller		 7
NESUG 2013 Using SAS Metadata as a Key Performance Indicator! Vincent J. Amoruccio 11
PharmaSUG 2013 A Simple Approach to the Automated Unit Testing of Clinical SAS Macros Matthew Nizol source 12
PharmaSUG 2013 Be a Dead Cert for a SAS Cert: How to prepare for the most important SAS Certifications in the Pharmaceutical Industry Hannes Engberg Raeder source 10
PharmaSUG 2013 Don't Get Blindsided by PROC COMPARE Joshua M. Horstman,
Roger D. Muller		 source 5
PharmaSUG 2013 Effective Independent Validation: Tips to Improve the Independent Validation Process Daniel Butner,
Brandon Graham		 source 6
PharmaSUG 2013 Imputing Dose Levels for Adverse Events John R. Gerlach,
Igor Kolodezh		 source 8
PharmaSUG 2013 Is Your Data Set Really Validated: Beware of "Blind-Fold" Validation Nehan Mohan,
Gayatri Karkera		 source 4
PharmaSUG 2013 LST in Comparison Sanket Kale,
Sajin Johnny		 source 11
PharmaSUG 2013 Methods to Derive COVAL-COVALn in CO Domain Chunxia Lin source 8
PharmaSUG 2013 Validating Listing Output: A Better Way Hunter Vega,
James Kniffen Jr.		 source 4
NESUG 2012 A Macro to Squeeze SAS Data and Create a SAS Transport File Hany Aboutaleb 11
NESUG 2012 Adding Control to Your Data Using SAS System and Dataset Options David W. Franklin 6
NESUG 2012 Prove QC Quality - Create SAS Datasets from RTF Files Honghua Chen 10
PHUSE EU 2012 Tricks for Testing Standard Macro Components in SAS Software Lina Ulkjaer Jorgensen source
poster source		 4
SESUG 2012 Mobile Business Applications: Delivering SAS Dashboards To Mobile Devices via MMS Ben Robbins source 8
MWSUG 2012 New Vs. Old - Under the Hood with Procs CONTENTS and COMPARE Patricia Hettinger 12
MWSUG 2012 Project Automation and Tracking Using SAS Rajesh Lal 12
PharmaSUG 2012 Automation of Comparing ODS RTF Outputs in Batch using VBA and SAS Dongsun Cao source 8
PharmaSUG 2012 Comparing Datasets: Using PROC COMPARE and Other Helpful Tools Deb Cassidy source 9
PharmaSUG 2012 Creating SAS Report Outline Using the Output Delivery System for Online Review Sue X. Zhang source 11
PharmaSUG 2012 Let's compare two SAS libraries! Kavitha Madduri source 10
PharmaSUG 2012 Short-circuiting PROC COMPARE: Techniques for Focusing Dataset Comparisons Tracy Sherman,
Brian P. Fairfield-Carter		 source 8
PharmaSUG 2012 Using PROC COMPARE to identify new and updated records in a subject listing Mark McLaughlin source 5
SGF 2012 A Simple Yet Effective Way to Perform a Variable Cross Walk Between Multiple Data Sets Binh C. Le,
Huong T. Pham		 source 7
SGF 2012 Customizing SAS OQ to Provide Business Specific Testing of SAS Installations and Updates Steve Huggins source 8
SGF 2012 Deciphering PROC COMPARE Codes: The Use of the bAND Function Joseph W. Hinson,
Margaret M. Coughlin		 source 9
SESUG 2011 Be Bold with Proc Compare and %RTFTable Patricia Guldin source 7
SESUG 2011 PROC COMPARE - Worth Another Look! Christianna S. Williams source 25
WUSS 2011 Using PROC SQL to Calculate FIRSTOBS David Tabano source 11
PHUSE EU 2011 Comparing dataset metadata Jim Groeneveld source
presentation source		 8
PHUSE EU 2011 Customising SAS OQ to Provide Business Specific Testing of SAS Installations and Updates Steve Huggins source
presentation source		 7
PHUSE EU 2011 Go Compare: Flagging up some underused options in PROC COMPARE Michael Auld source
presentation source		 13
PHUSE EU 2011 Numeric precision and representation issues. Why 4.8 - 4.6 is not always equal to 0.2. Nicola Tambascia source
poster source		 11
MWSUG 2011 "Compare Me" a SAS Datasets Comparison Tool Anurag Katare,
Jayesh Soneji		 12
MWSUG 2011 Automated or Manual Validation: Which One is for You? Richann J. Watson,
Patty Johnson		 5
NESUG 2011 PROC COMPARE - Worth Another Look! Christianna S. Williams 26
PharmaSUG 2011 Automated or Manual Validation: Which One is for You? Richann J. Watson,
Patty Johnson		 source 5
PharmaSUG 2011 Project Automation and Tracking Using SAS Rajesh Lal source 12
SGF 2011 Regression Testing: The SAS Programmers Friend Philip James Busby source 11
SGF 2011 Ten Ways to Improve the Efficiency of Clinical Statistical Programming Amos Shu source 5
NESUG 2010 A Few Quick and Efficient Ways to Compare Data Aileen D. Bennett 6
NESUG 2010 PROC COMPARE - Worth Another Look! Christianna S. Williams 26
NESUG 2010 The Nitty-Gritty of FDA Electronic Submission: A Programmer's Perspective Sandeep N. Beniwal 9
SCSUG 2010 A SAS Primer for Health Care Data Analysts Christopher W. Schacherer source 24
MWSUG 2010 A SAS Primer for Health Care Data Analysts Christopher W. Schacherer,
Brent D. Westra		 24
SESUG 2010 Merging into Hash: Some Practical Examples of Converting MERGE Statements into Hash Objects Ying Liu source 23
PharmaSUG 2010 Validate it Again?! Get SAS to do it! Carol Matthews,
Ginger Lewis,
Olga Belotserkovsky		 13
SGF 2010 Eliminating Redundant Custom Formats (or How to Really Take Advantage of PROC SQL, PROC CATALOG, and the DATA Step) Philip A. Wright source 18
SGF 2010 PROC COMPARE - Worth Another Look! Christianna S. Williams source 23
SCSUG 2009 Audit Trails for SAS Data Sets Minh Duong 10
SESUG 2009 Utilizing the SAS Macro Facility to Interface with PROC COMPARE Robert Adams source 4
PHUSE EU 2009 Migrating the 4GL SAS Code to SAS 9 EBI and Enterprise Guide Sandra Farrow,
Mike Needham		 source 12
PHUSE EU 2009 Standardization of data base: interaction between Biostatistics and Clinical Data Management [presentation] Céline Tendero source 12
PHUSE EU 2009 Validate it Again?! Get SAS to do it! Carol Matthews,
Ginger Lewis		 source 14
MWSUG 2009 Eliminating Redundant Custom Formats (or How to Really Take Advantage of PROC SQL, PROC CATALOG, and the DATA Step) Philip A. Wright 18
PNWSUG 2009 When Good Looks Aren't Enough Lisa Eckler 11
NESUG 2009 When Good Looks Aren't Enough Lisa Eckler 11
SGF 2009 Retirement of Legacy Clinical Systems and Moving to SAS Drug Development, Much More than Just Moving the Data Fred R. Forst,
John Standefer		 source 17
SGF 2009 Using SAS System and Dataset Options to Control Your Data David W. Franklin source 6
WUSS 2008 Simple and Effective Way to Validate Clinical Graphs Rajesh Venkkataram source 10
PHUSE EU 2008 Spot the Difference Anja Feuerbacher,
Beate Hientzsch		 source 13
NESUG 2008 Clinical-Data Acceptance Testing Procedure Sunil Kumar Gupta 15
PharmaSUG 2008 Adding Control to Your Data Using SAS System and Dataset Options David W. Franklin 6
PharmaSUG 2008 An Animated Guide: Comparing Files without Proc Compare Alejandro Jaramillo,
Russell M. Lavery		 10
PharmaSUG 2008 An Automatic Process to Compare Files Simon Lin 6
PharmaSUG 2008 Clinical-Data Acceptance Testing Procedure Sunil Kumar Gupta 15
PharmaSUG 2008 Using Automated File Comparisons to Increase Efficiency and Accuracy in SAS Code Development & Validation Jasmin Fredette 13
SGF 2008 Clinical-Data Acceptance Testing Procedure Sunil Kumar Gupta source 15
SGF 2008 Migrating Information in the Amisys Data-Warehouse: Current to Advanced Anthony E. DeGance source 10
NESUG 2007 Controlling SAS Datasets Using SAS System and Dataset Options David W. Franklin 7
NESUG 2007 Print / Read Only the Relevant Pages Kamau Njuguna,
Hsiwei Yu		 7
SESUG 2007 %XMLPORT: An XML Substitute for SAS PROC CPORT/CIMPORT (almost) Andy Barnett source 14
PharmaSUG 2007 A SAS Macro to Automate the QC of CRT SAS Transport Files (using ODS 'Traffic Lighting') Todd Case,
Ed Stamm		 5
PharmaSUG 2007 Programming Tips and Examples for Your Toolkit, III John Morrill 12
SGF 2007 SAS Tools for Program Automation Richard F. Pless source 12
SGF 2007 Using Dynamic Data Exchange and Table-Driven Programming to Manage Microsoft Excel Files Xiaoming Liang source 10
SESUG 2006 An Easy, Concise Way to Summarize Multiple PROC COMPAREs Using the SYSINFO Macro Variable Lex Fennell source 2
SESUG 2006 Dare to COMPARE - Three Methods of Preparing Your Data to Compare Values David Maddox source 6
NESUG 2006 By's Notsorted Option Karuna Samudral,
Gregory Giddings		 11
NESUG 2006 Exporting & Importing Datasets & Catalogs: Utility Macros Adel Fahmy 12
NESUG 2006 Programmatically Comparing Data Libraries Stephen Hamburg 3
NESUG 2006 When is New Really New? Proc Compare Gives the Details Jared Smith 7
PharmaSUG 2006 An Easy, Concise Way to Summarize Multiple PROC COMPAREs Using the SYSINFO Macro Variable Lex Fennell 2
PharmaSUG 2006 Meta Data That You (Probably) Didn't Know That You Had: A Beginners' Guide to Using SAS Dictionaries and Automatic Macro Variables Richard F. Pless 12
SUGI 2006 Save Those Eyes: A Quality-Control Utility for Checking RTF Output Immediately and Accurately Michael Hagendoorn,
Jonathan M. Squire,
Johnny Tai		 source 10
SESUG 2005 Automated Excel-lent Validation Janet E. Stuelpner source 9
PHUSE EU 2005 Analysis of Pharmacokinetic Data : Using SAS to Create an Autonomous Environment for the Pharmacokineticist Stephen Prust source 7
PHUSE EU 2005 Analysis of Pharmacokinetic data: using SAS to create an autonomous environment for the Phamacokineticist Stephen Prust source 1
WUSS 2005 Meta Data That You (Probably) Didn't Know That You Had: A Beginners' Guide to Using SAS Dictionaries and Automatic Macro Variables Richard F. Pless source 12
WUSS 2005 Producing Multipurpose Metadata for Data Quality and a Data Dictionary John E. Bentley source 19
NESUG 2005 A SAS Programmer's Guide to Project - and Program-Level Quality Control Paul Gorrell 15
PharmaSUG 2005 Automated Excel-lent Validation Janet E. Stuelpner 9
SUGI 2005 CALL EXECUTE: A Powerful Data Management Tool Denis Michel source 13
SUGI 2005 Producing Multipurpose Metadata for Data Quality and a Data Dictionary John E. Bentley source 19
SCSUG 2004 PROC MIGRATE: How to Migrate Your Data and Know You've Done It Right! Diane Olson,
David Wiehle		 17
SESUG 2004 Using PROC COMPARE in a SAS/AF Application for Tracking Corrections made to SAS Datasets for a Clinical Trial Emily A. Mixon source 6
WUSS 2004 Comparing Two SAS Data Sets: Start at the Top Ann Olmsted source 5
PharmaSUG 2004 COMPAREXLS - A Powerful Comparison Tool for Spreadsheet Difference Resolution Difference Resolution 11
PharmaSUG 2004 Mergers, Consolidations and Proc Compare Fang Dong 8
PharmaSUG 2004 PROC MIGRATE: How to Migrate Your Data and Know You've Done It Right! Diane Olson,
David Wiehle		 14
PharmaSUG 2004 The Implementation of Automatic Obvious Data Modifications (ODMs) on Late Phase Trials Using SAS PROC SQL Kathleen Kushner,
Philip Pellicone		 6
WUSS 2003 Snapshots from Hell: Practical Issues in Data Warehousing Tyson Lee source 5
SESUG 2003 Dare to Compare - Tailoring PROC COMPARE Output Maria Y. Reiss source 10
SESUG 2003 PROC MIGRATE: How to Migrate Your Data and Know You've Done It Right! Diane Olson,
David Wiehle		 source 11
NESUG 2003 Audit Trails of SAS Data Set Changes -- An Overview Maria Y. Reiss 9
PharmaSUG 2003 An Application of Dummy Variable and Placeholder Macro Parameter in Programming for Clinical Trial Data Quality Monitoring Sijian Zhang,
Mark Carpenter		 4
PharmaSUG 2003 Proc Compare to Validate Datasets Angelina Cecilia Casas 4
SUGI 2003 PROC MIGRATE: How to Migrate Your Data and Know You've Done It Right! Diane Olson,
David Wiehle		 source 9
NESUG 2002 Quality Control As Data Analysis Paul Gorrell 7
PharmaSUG 2002 Reduce Paper Output When Using SAS PROC COMPARE (A Validator's Dream Come True!) Lila Thome 4
PharmaSUG 2002 Using SAS to get more out of Oracle Clinical Jim Johnson 10
PharmaSUG 2001 VALIDATION: Let SAS do the comparisons for you Lara E.H. Guttadauro 6
SUGI 2001 Versioning an Existing Data Warehouse K. Mistry,
John Finianos		 source 4
SESUG 2000 Using Proc Compare for Data Reliability Sharon W. Stroud source 2
NESUG 2000 Demystifying PROC COMPARE : A Programming Approach Stanley E. Fogleman 2
PharmaSUG 2000 COMPDIFF: A Macro for Comparing Data Sets Matthew Clarke 2
MWSUG 1999 Creating a Dynamic SAS-Oracle GUI Interface Using SAS/AF FRAME Paul Ehresmann 7
SUGI 1999 From MACRO to SAS/AF Software: A Case Study of the Evolution of an Application David M. Gardner source 6
SUGI 1999 The Supplement of the COMPARE Procedure Weiqin Pan source 6
SUGI 1998 %COMPARWS: Compare with Summary: A Macro Using PROC COMPARE to W rite a File of Di f ferences to Edit and Use for Updates Ronald J. Fehd source 4
SUGI 1998 Efficient Cross Database Data Transaction Processing Between SAS Software and Oracle using SAS Annie S. Guo source 6
SUGI 1998 Proving it Works: Using PROC COMPARE to Verify an Analysis Converted into SAS Software Lauren E. Haworth,
Njeri Karanja		 source 6
WUSS 1997 A Data Management System for Use in Smaller Biotech Companies Ellen Krantz source 5
MWSUG 1997 %COMPARWS: Compare with Summary: A Macro Using PROC COMPARE to W rite a File of Di f ferences 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 The Data Review Two-step: Macros for Comparison and Exception Reports - Part A: %COMPARWS: Compare with summary: a macro using proc COMPARE to write a file of differences to edit and use for updates Ronald J. Fehd 8
SEUGI 1997 A data management system for use in the pharmaceutical and biotechnology Industries Ellen Krantz source 12
SUGI 1997 "How Does Your Data Compare?" SAS's COMPARE Procedure Jenna Heyen source 4
SUGI 1997 Learning About Your Data: Tips and Techniques for Looking at Large Files Sandra D. Schlotzhauer,
Bob Anschuetz		 source
SUGI 1997 Using Survey Data: Tips to Pick Up Speed on the Road to Analysis Cynthia L. Williamson,
Suzanne D. Kreutzer		 source 6
NESUG 1996 Quality Assurance and The SAS System Thalene T. Mallus 10
MWSUG 1996 "How Does Your Data Compare?" Jenna Heyen 7
WUSS 1996 Tips and Techniques for Updating a Repository Data Warehouse Ty Lee source 6
WUSS 1996 Using Survey Data: Tips to Pick Up Speed on the Road to Analysis Cynthia L. Williamson,
Suzanne D. Kreutzer		 source 6
SEUGI 1996 SAS Testdata Workbench - An application that handles testdata and database conversions Patrik Karlsson source 6
SUGI 1996 Loading a Data Warehouse with Legacy Data Clive Cooper,
Clare Somerville		 source 6
SUGI 1996 Tips and Techniques for Data Fixes in a Repository Data Warehouse Ty Lee source 6
WUSS 1995 Tips and Techniques for Data Fixes in a Repository Data Warehouse Ty Lee source 6
SEUGI 1995 A Multi-dimensional EIS System in a Data Warehouse Environment Sergio Motta source 9
SEUGI 1995 Clinical Dual Entry Principles and Implementation Using FSEDIT Jayantha Peiris source 8
SEUGI 1994 SAS System-based Verification of Double Data Entry in a Focus Database Andre Gravel source 22
SUGI 1993 Using the SAS System for Error Control in Clinical Trials Data'bas'es William C. Murphy,
Howard M. Proskin,
Gary B. Freeman		 source 3
SEUGI 1990 Audit Trailing Using the SAS System Mark Crawford source 28
SUGI 1990 Changes and Enhancements to Version 6 Procedures David Driggs source 11
SUGI 1989 Use of COMPARE and AUTOCALL to Reduce the Code Needed for a SAS System by 75 Percent Arthur H. Hensler source 2
SEUGI 1988 Version 6 Macro Features for the PC Steve Morton source 6
SUGI 1988 Version 6 Macro Features for the PC Jeff McDermott,
Bruce M. Tindall		 source 6
SUGI 1986 SAS Data Set Comparison: Overcoming the Limitations of PROC COMPARE Warren Repole Jr. source 7
SUGI 1986 Using PROC COMPARE and PROC CONTENTS to Compare SAS Data Set Values and Characteristics Tim Lehman,
Ann Lehman		 source 9
SUGI 1982 PROCs COMPARE and HEADER for Efficient Database Management in SAS Martha McCrate,
J. Philip Miller,
Michael A. Province		 source 6

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