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387 papers and 18 presentations; 356 titles.

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Conference × Year × Title × Authors Extras Pages
PharmaSUG CN 2026 Clarity: An AI-Powered Shiny Application for Natural Language-Driven Clinical Data Analysis Jinzhi Zhou,
Yusi Liu,
Dan Su,
Jie Liu		 source 14
PharmaSUG CN 2026 The Effective Preparation of NMPA Submission Package Fu Wang source 6
PharmaSUG 2026 An Alternative Option to Create XPT Files with a SAS Function Jose Hernandez Rivero,
Ruth Marisol Rivera Barragan		 source 5
PharmaSUG 2026 An Experience Using R, SASSY and Tidyverse For Clinical Trial Analysis, From A SAS Programmer Perspective David W. Franklin 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 APAC 2026 Enhancing Clinical Data Standardization Through Intelligent Mapping of eCRF Forms and Items to SDTM Saransh Khandelwal,
Kedar Deshpande		 source
presentation source		 9
SESUG 2025 Going from Zero to Report Ready with PROC TABULATE Rachel Straney 13
SESUG 2025 SAS and R in Action: Comparison of XPT File Creation Chen Ling 7
PharmaSUG 2025 Controlling attributes of .xpt files generated by R Yachen Wang,
Chen Ling		 source 13
PHUSE US 2025 Accelerating Data Integration: Utilizing Python Scripts and Semantic Search for Variable Mapping in Multiple Studies Xiaopeng Li source
presentation source		 6
PHUSE US 2025 clinify: Bridging the Gap in Regulatory-Compliant TFL Generation with R Michael Stackhouse source
presentation source		 10
MWSUG 2024 Harnessing the Power of PROC CONTENTS and SELECT INTO: SEPARATED BY [presentation] Yanfang Pang source 17
PHUSE EU 2024 Navigating First Data Submission: Pierre Fabre's Journey and Insights into Data Submission Challenges with the NMPA Romain Raymond,
Benoit Sansas		 source
presentation source		 7
SESUG 2024 Utilizing SAS to Create HTML Codebooks: Part Two! William Zachary Smith source 12
PharmaSUG CN 2024 Implementation on concentration-QTc modeling Daoqing Li,
Deli Cao		 source 20
PharmaSUG 2024 Updates on Preparing a BIMO Data Package Elizabeth Li,
Carl Chesbrough,
Inka Leprince		 source 17
PharmaSUG 2024 Utility Macros for Data Exploration of Clinical Libraries Matt Maloney source 14
PHUSE US 2024 Demystifying Submissions to NMPA China [presentation] Hiral Raval,
Dyuthi Yellamraju		 source 19
PHUSE US 2024 Population Pharmacokinetic Analysis Data (ADPPK) Programming in {admiral} and the pharmaverse Jeffrey Dickinson source
poster source		 9
SESUG 2023 Utilizing SAS to Create HTML Codebooks William Zachary Smith source 10
PHUSE EU 2022 Standards Subject to Change: Data Standards Flexibility in an Evolving Landscape [presentation] Gina Wood,
Alison Banda		 source 28
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 You Don-t Know Where That-s Been! Pitfalls of Cutting-and-Pasting Directly into the Programming Work Flow Dave Hall source 5
PHUSE US 2022 Leveraging an MDR: More than a Repository [presentation] Carlo Radovsky source 13
PHUSE US 2022 Mesa: A Shiny-based Web Application for Drag-and-drop Creation of Metadata-driven Statistical Summary Tables [presentation] Qiaobing Bergsma,
Tim Bergsma		 source
video		 4
PHUSE US 2022 Trial Summary SDTM Domain Made Easy for Regulatory Submissions [presentation] Kishore Pothuri source 16
PHUSE EU 2021 New Starters Session: The Secret Sauce to Start in Our Industry [presentation] Amritpal Singh,
Lucie Bowden		 source 10
SESUG 2021 Management of Metadata and Documentation When Your Data Base Structure is Fluid: What to do if Your Data Dictionary has a Varying Number of Variables Louise S. Hadden source 12
PHUSE US 2021 ADaM Generator Tool [presentation] Gustav Bernard source
video		 45
PHUSE US 2021 China Center for Drug Evaluation, NMPA Electronic Study Data Submission Requirements [presentation] Majdoub Haloui,
Yanhong Li		 source
video		 16
PHUSE US 2021 Generating .xpt files with SAS, R and Python [presentation] Todd Case source
video		 22
PHUSE US 2021 Industry Metrics for Extensions of CDISC Terminology [presentation] Sergiy Sirichenko source
video		 36
PharmaSUG 2021 Integrating SAS and Microsoft Excel: Exploring the Many Options Available to You Vincent DelGobbo source 23
PharmaSUG 2021 Management of Metadata and Documentation When Your Data Base Structure is Fluid: What to Do if Your Data Dictionary has Varying Number of Variables Louise S. Hadden source 7
PharmaSUG 2021 New Requirements of Clinical Trial Data Submission for China Filing: An Implementation Yuan Yuan Dong,
Wang Zhang,
Lily Ling		 source 5
SGF 2021 Modeling Causal Effects Using SAS/STAT John Amrhein,
McDougall Scientific		 source 21
PHUSE EU 2020 SDTM Trial Summary Domain Puzzle: Are These the Right Pieces? [presentation] Kristin Kelly source
video		 24
PHUSE EU 2020 Using R from End to End: CDISC SDTM and ADaM into .xpt and Output Generation [presentation] Antonio Rodríguez Contestí source
video		 46
SESUG 2020 Upgrading Clinical Trial Reports from ODS LISTING to ODS TAGSETS.RTF Christopher J. Smith source 25
SGF 2020 Upgrading Clinical Trial Reports from ODS LISTING to ODS TAGSETS.RTF Christopher J. Smith,
Joshua M. Horstman		 source 25
SGF 2020 Write SAS to Generate SAS: Three Code-Generating Techniques for Many Automation Solutions Yun (Julie) Zhuo source 18
PharmaSUG 2020 %MVMODELS: a Macro for Survival and Logistic Analysis Jeffrey P. Meyers source 23
PharmaSUG 2020 Preparing a Successful BIMO Data Package Elizabeth Li,
Carl Chesbrough,
Inka Leprince		 source 20
PharmaSUG 2020 Text Wrangling with Regular Expressions: A Short Practical Introduction Noory Y. Kim source 7
PHUSE EU 2019 Development of standard BIMO process to create clinsite dataset Hilde Delanghe source
presentation source		 8
PHUSE EU 2019 Innovative SQLs Joseph Murphy source
presentation source		 8
SESUG 2019 Data-driven Programming Techniques using SAS Macros to Semi-automate Generation of Descriptive Tables in Healthcare Research Katie Mercaldi source 37
SESUG 2019 Medians/quartiles are shown for continuous data and counts/percentages are shown for categorical data Martha Wetzel source 5
WUSS 2019 From Readability to Responsible Risk Management: Facilitating the Automatic Identification and Aggregation of Software Technical Debt within an Organization Through Standardized Commenting in SAS Program Files and SAS Enterprise Guide Project Files Troy Martin Hughes source 35
WUSS 2019 Spec to Code in Seconds: Use Microsoft Excel for Repetitive Code Writing Pinky Anandani Dutta source 5
PharmaSUG 2019 Clinical Development Standards for FDA Bioresearch Monitoring (BIMO) Submissions Denis Michel,
Julie Maynard		 source 11
PharmaSUG 2019 End of Computing Chores with Automation: SAS Techniques That Generate SAS Codes Yun (Julie) Zhuo source 10
PharmaSUG 2019 Exploring Common CDISC ADaM Conformance Findings Trevor Mankus source 6
PharmaSUG 2019 Integrating SAS and Microsoft Excel: Exploring the Many Options Available to You Vincent DelGobbo source 23
PharmaSUG 2019 Updates on validation of ADaM data Sergiy Sirichenko source 9
SGF 2019 Does the Cat Have Your Tongue? Using the VNAME and CATX Functions to Get SAS to Speak to You Gayle K. Springer source 6
SGF 2019 Integrating SAS and Microsoft Excel: Exploring the Many Options Available to You Vincent DelGobbo source 23
SGF 2019 World Wide Wrangler: How to Create SAS Data Sets from HTML Files in Seconds Ed Summers,
Brice Smith,
Sean Mealin		 source 7
PHUSE US 2019 High-quality Study Data Standards for Submission Majdoub Haloui,
Ellen L. Asam		 source
presentation source		 9
PHUSE US 2019 Take Advantage of CDISC Standards and Plan Your Study Specifications File Vara Prasad Reddy Sakampally,
Siddarth Lokineni		 source
poster source		 6
SCSUG 2018 'V' for ... Variable Information Functions to the Rescue Richann J. Watson,
Karl Miller		 source 16
PHUSE EU 2018 Best Practice for Explaining Validation Results in the Study Data Reviewer's Guide Kristin Kelly,
Michael Beers		 source
presentation source		 8
PHUSE EU 2018 Stop Copying CDISC Standards Craig Parry source
poster source		 21
PHUSE EU 2018 Updates on validation of ADaM data Max Kanevsky,
Sergiy Sirichenko		 source
presentation source		 7
SESUG 2018 Going from Zero to Report Ready with PROC TABULATE Rachel Straney source 13
MWSUG 2018 Data-Driven Data Analysis Jack N. Shoemaker 10
MWSUG 2018 From Readability to Responsible Risk Management: Facilitating the Automatic Identification and Aggregation of Software Technical Debt within an Organization Through Standardized Commenting in SAS Program Files and SAS Enterprise Guide Project Files Troy Martin Hughes 35
WUSS 2018 Automate Repetitive Programming Tasks: Effective SAS Code Generators Yun (Julie) Zhuo source 8
WUSS 2018 Data-Driven Data Analysis Jack N. Shoemaker source 10
PHUSE US 2018 Best Practices for Explaining Validation Results in the Study Data Reviewer's Guide Kristin Kelly source
presentation source		 6
PharmaSUG 2018 Best Practice for Explaining Validation Results in the Study Data Reviewer's Guide Kristin Kelly source 6
PharmaSUG 2018 Generating Define.xml from Pinnacle 21 Validator Pinky Anandani source 15
SGF 2018 Accessibility and ODS Graphics: Seven Simple Steps to Section 508 Compliance Using SAS 9.4M5 Ed Summers,
Julianna Langston,
Dan Heath		 source 13
SGF 2018 Change is Good, or at Least Expected: Techniques for Visualizing Categorical Values Over Time Lisa Ann Horwitz source 14
SGF 2018 Excelling to Another Level with SAS Matthew J. Kastin,
Arthur S. Tabachneck,
Tom Abernathy		 source 36
SESUG 2017 A Software Toolkit for Data Management Kim Chantala,
Jean Robinson,
Helen Smith		 source 19
PHUSE EU 2017 Intervention ML: Mapping of Meal data Rahul Loharkar source
presentation source		 8
WUSS 2017 A SAS Format Catalog for ICD-9/ICD-10 Diagnoses and Procedures: Data Research Example and Custom Reporting Example Robert Springborn source 37
WUSS 2017 PROC DOC III: Self-generating Codebooks Using SAS Louise S. Hadden source 8
SGF 2017 Tables and Graphics That Will FREQ You Out Kathryn McLawhorn source 21
SGF 2017 The ODS EXCEL statement: Tips and Tricks for the TABULATE and REPORT Procedures Richard A. DeVenezia source 17
SESUG 2016 An Easy Route to a Missing Data Report with ODS + PROC FREQ + A Data Step Michael S. Zdeb source 10
SESUG 2016 PROC DOC III: Self-generating Codebooks Using SAS Louise S. Hadden source 25
SESUG 2016 Universal File Flattener David A. Vandenbroucke source 12
SESUG 2016 What to Expect When You Need to Make a Data Delivery... Helpful Tips and Techniques Tom McCall,
Louise S. Hadden		 source 7
PHUSE EU 2016 Top 10 Uses of Macro %VARLIST - In Proc SQL, Data Step and Elsewhere Jean-Michel Bodart source
presentation source		 12
MWSUG 2016 Document and Enhance Your SAS Code, Data Sets, and Catalogs with SAS Functions, Macros, and SAS Metadata Roberta J. Glass,
Louise S. Hadden		 12
MWSUG 2016 What to Expect When You Need to Make a Data Delivery... Helpful Tips and Techniques Tom McCall,
Louise S. Hadden		 7
WUSS 2016 Document and Enhance Your SAS Code, Data Sets, and Catalogs with SAS Functions, Macros, and SAS Metadata Louise S. Hadden,
Roberta J. Glass		 source 11
PharmaSUG 2016 SDTM Metadata: The Output is only as Good as the Input Sue Sullivan source 9
SGF 2016 An Insider's Guide to SAS/ACCESS Interface to Impala Jeffrey Bailey source 19
SGF 2016 Universal File Flattener David A. Vandenbroucke source
zip		 15
SGF 2016 What to Expect When You Need to Make a Data Delivery... Helpful Tips and Techniques Tom McCall,
Louise S. Hadden		 source
presentation		 6
MWSUG 2015 'V' for ... Variable Information Functions to the Rescue Richann J. Watson,
Karl Miller		 16
PHUSE EU 2015 Dataset-XML - A New CDISC Standard for Data Exchange Julie A. Maddox,
Lex Jansen		 source
presentation source		 16
WUSS 2015 ODS Output Data Sets That Work for You Stuart D. Long,
Edward Heaton,
Daniel R. Scharf		 source 29
PharmaSUG CN 2015 SAS Tools for Working with Dataset-XML files Lex Jansen 18
PharmaSUG 2015 Evaluating SDTM SUPP Domain For AdaM - Trash Can Or Buried Treasure Xiaopeng Li,
Yi Liu,
Chun Feng		 source 7
PharmaSUG 2015 Hands Free: Automating Variable Name Re-Naming Prior to Export John J. Cohen source 4
PharmaSUG 2015 SAS Tools for Working with Dataset-XML files Lex Jansen source 18
PharmaSUG 2015 Two different use cases to obtain best responses using RECIST 1.1: SDTM and ADaM Kevin Lee,
Vikash Jain		 source 17
SESUG 2014 Hands Free: Automating Variable Name Re-Naming Prior to Export John J. Cohen source 4
PHUSE EU 2014 A New Era: Open Access to Clinical Trial Data [presentation] Guillaume Breton source 21
PHUSE EU 2014 Traceability: Plan Ahead for Future Needs Sandra Minjoe source
presentation source		 8
MWSUG 2014 'V' for ... Variable Information Functions to the Rescue Richann J. Watson,
Karl Miller		 16
MWSUG 2014 Documentation Driven Programming: How Orienting Your Projects Around Their Data Leads to Quicker Development and Better Results Marcus Maher,
Joe Matise		 24
MWSUG 2014 Jack of all Listings, A New Approach for Review of Clinical Data Hardik Panchal 15
WUSS 2014 Are You a Control Freak? Control Your Programs - Don't Let Them Control You! Mary F. O. Rosenbloom,
Arthur L. Carpenter		 source 20
PharmaSUG 2014 'V' for ... Variable Information Functions to the Rescue Richann J. Watson,
Karl Miller		 source 15
PharmaSUG 2014 A User Friendly Tool to Facilitate the Data Integration Process Yang Wang,
Boxun Zhang		 source 6
PharmaSUG 2014 Challenges in Processing Clinical Lab Data Alan Meier source 15
PharmaSUG 2014 SAS as a Tool to Manage Growing SDTM+ Repository for Medical Device Studies Julia Yang source 12
WUSS 2013 Customize Comparison Tables for Clinical Studies Polina Kukhareva,
Katherine J. Roggenkamp		 source 12
SESUG 2013 Going from Zero to Report Ready with PROC TABULATE Rachel Straney source 12
NESUG 2013 Enriched Benefits for Better Graphs from Combining GTL Template and ODS Style Yu Yang,
John He		 14
NESUG 2013 Working with Excel spreadsheets using the SAS/ACCESS LIBNAME statement Gwen Babcock 6
PharmaSUG 2013 Data Visualization Tips and Techniques for Effective Communication LeRoy Bessler source 55
PharmaSUG 2013 Managing Graphic Appearance for Grouped Data in ODS Graphics Yunzhi Ling,
Mei Wu		 source 14
PharmaSUG 2013 Programming Validation Tips prior to using OpenCDISC validator Dany Guerendo source 12
SGF 2013 A Macro to Read in Medi-Span Text Format Database by Data Dictionary Sijian Zhang source 8
SGF 2013 Using SAS to Dynamically Generate SAS Code in Order to Display Both Variable Label and Name as Column Header in PROC REPORT and PROC PRINT Heli Ghandehari,
Victor Lopez		 source 5
NESUG 2012 Integrating SAS and Excel: An Overview and Comparison of Three Methods for Using SAS to Create and Access Data in Excel Nathan Clausen,
Edmond Cheng		 14
PHUSE EU 2012 Multicollinearity Diagnostics in Statistical Modeling and Remedies to Deal with it Using SAS Harshada Joshi,
Swapna Deshpande		 source
presentation source		 12
PHUSE EU 2012 SDTM and AdaM: Metadata Playing Together Nicely Kenneth Stoltzfus source
presentation source		 7
SESUG 2012 Generating SUPPQUAL Domains From SDTM-Plus Domains John R. Gerlach,
Glenn O'Brien		 source 6
SESUG 2012 Labels: What They Are and How To Use Them David D. Chapman source 7
SESUG 2012 Let the Data Paint the Picture: Data-Driven, Interactive, and Animated Visualizations Using SAS, Java and the Processing Graphics Library Patrick Hall,
Ryan Snyder		 source 11
SESUG 2012 ODS Output Data Sets That Work for You Stuart D. Long,
Edward Heaton,
Daniel R. Scharf		 source 29
MWSUG 2012 Copy and Paste Almost Anything Arthur S. Tabachneck,
Randy Herbison,
John Henry King,
Richard A. DeVenezia,
Nathaniel Derby,
Ben Powell		 17
PharmaSUG 2012 Automate Validation of CDISC ADaM Variable Label Compliance Wayne (Weizhen) Zhong source 4
PharmaSUG 2012 Generating SUPPQUAL Domains From SDTM-Plus Domains John R. Gerlach,
Glenn O'Brien		 source 6
PharmaSUG 2012 SAS File Design: Guidelines for Statisticians and Data Managers Douglas Zirbel source 6
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 Copy and Paste Almost Anything Arthur S. Tabachneck,
John Henry King,
Nathaniel Derby,
Randy Herbison,
Richard A. DeVenezia,
Ben Powell		 source 16
SGF 2012 Let the Data Paint the Picture: Data-Driven, Interactive, and Animated Visualizations Using SAS, Java and the Processing Graphics Library Ryan Snyder,
Patrick Hall		 source 11
SGF 2012 SAS/FSP Provides the Best Customizable Form Viewer Peter Crawford source 14
WUSS 2011 Exporting Variable Labels as Column Headers in Excel using SAS Chaitanya Chowdagam source 5
WUSS 2011 How to easily convert clinical data to CDISC SDTM Ale Gicqueau source 9
WUSS 2011 VBA Microsoft Access 2007 Macros to Import Formats and Labels to SAS Maria Melguizo Castro source 10
PHUSE EU 2011 Comparing dataset metadata Jim Groeneveld source
presentation source		 8
PHUSE EU 2011 Ensuring Compliant and Consistent Data Mappings for SDTM-based Studies - an ICON Approach Jennie McGuirk,
Steven Thacker		 source
presentation source		 16
NESUG 2011 A Macro for Safely Merging Many Data Sets Taylor R. Young 5
NESUG 2011 An Easy Route to a Missing Data Report with ODS + PROC FREQ + A Data Step Michael S. Zdeb 10
NESUG 2011 Combining the Results from Multiple SAS PROCs into a Publication Quality Table Robert Kabacoff 20
NESUG 2011 Hands Free: Automating Variable Name Re-Naming Prior to Export John J. Cohen 5
PharmaSUG 2011 Choosing the Best Method to Create an Excel Report Romain Miralles source 12
PharmaSUG 2011 Creating SDTM Datasets from Legacy Data Fred Wood source 6
PharmaSUG 2011 Ensuring Consistent Data Mapping Across SDTM-based Studies - a Data Warehouse Approach Annie S. Guo source 12
PharmaSUG 2011 Evolution of SDTMIG 3.1.1 to 3.1.2: A mapping specialist must reference on these changes Rachit Desai,
Anirudh Gautam,
Vikash Jain		 source 8
SGF 2011 %DO Loop - A Simple Dynamic Programming Technique Yunchao (Susan) Tian source 3
SGF 2011 A Macro for Safely Merging Many Data Sets Taylor R. Young source 5
SGF 2011 Creating a Microsoft Excel Report: A Comparison of the Different Techniques Romain Miralles source 12
SGF 2011 Five Ways to Speed Up Your Data Loading Using SAS/ACCESS for Relational Databases Douglas B. Liming source 6
SGF 2011 ODS Output Data Sets That Work for You Stuart D. Long,
Edward Heaton,
Daniel R. Scharf		 source 29
SGF 2011 PROC PRINT and ODS: Teaching an Old PROC New Tricks Darylene Hecht source 22
SGF 2011 Recreating SAS Data Sets via SAS Code Generation Richard D. Langston source 7
NESUG 2010 Applying Metadata Attributes in Analysis Data Sets Using Macro Variables and Proc SQL in SAS Rita Tsang 7
NESUG 2010 Automatically Converting Character Variables That Store Numbers to Numeric Variables Christopher J. Bost 13
NESUG 2010 Leverage Your Programming with Code Generation Paulette W. Staum 16
WUSS 2010 101 Applications of Multivariate Statistical Procedures: PRINCOMP, CLUSTER, DISCRIM in SAS 9.2 Keh-Dong Shiang source 22
WUSS 2010 Choosing the Best Method to Create an Excel Report Romain Miralles source 12
WUSS 2010 SAS and Scripts: Two Great Tasks That Task Great Together John Lujan source 8
WUSS 2010 Tips for Constructing a Data Warehouse Part 1 Curtis A. Smith source 12
PHUSE EU 2010 PROC TRANSPOSE for Better Listings View Jules Van der Zalm source 8
MWSUG 2010 Macro Variables Make Life Easier: Applications with SAS to Excel Misty Johnson 7
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
PharmaSUG 2010 Checking for SDTM Compliance: The Need for Human Involvement Fred Wood,
Adrienne Boyance		 8
PharmaSUG 2010 Insights into ADaM Matthew J. Becker 9
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 So Many Variables, Too Many Labels: Moving Labels from One Variable to Another John F. Ladds source 11
SGF 2010 Taming the Herd: Wrangling Unruly Text Files in SAS Taylor R. Young source 9
SESUG 2009 Labels, Labels, and More Labels Stephanie R. Thompson source 5
PHUSE EU 2009 Insights into ADaM Matthew J. Becker source
presentation source		 9
PHUSE EU 2009 PROC TRANSPOSE for Better Listing View Jules Van der Zalm source 8
MWSUG 2009 Using the Data Step's ATTRIB Statement to both Manage and Document Variables in a SAS Dataset (lightly) Philip A. Wright 8
NESUG 2009 Customizing a Correlation Matrix That Would Make Pearson Proud Aaron Hill 10
NESUG 2009 Techniques for Labeling SAS Variables Paulette W. Staum 6
NESUG 2009 Using Data Set Labels to Make Your SAS Output Self Documenting Stanley E. Legum 6
PharmaSUG 2009 A SAS Macro Application for Generating Patient-Level Reports in Clinical Studies Yao Huang 4
PharmaSUG 2009 Data Management: Using Macros to Build a Dynamic Application Arthur L. Carpenter,
Richard O. Smith		 12
SGF 2009 Another Way to Make Use of Variable Labels Stephanie R. Thompson source 2
SGF 2009 Getting the Most Out of the SAS Survey Procedures: Repeated Replication Methods, Subpopulation Analysis, and Missing Data Options in SAS 9.2 Patricia A. Berglund source 12
WUSS 2008 ACCESS-ible SAS Formats and Labels Kathryn Martin source 7
WUSS 2008 SAS to MS-Excel, Auto-Loading a Full SAS Library into a Multi-Tabbed, Labeled Column, Excel Spreadsheet Joe Perry source 9
SESUG 2008 Another Way to Make Use of Variable Labels Stephanie R. Thompson source 2
SESUG 2008 Identifying and listing outliers without using PROC Format option Other=Invalid Ruben Chiflikyan source 12
PHUSE EU 2008 KEPT IN TRANSLATION: AVOIDING DATA LOSS AND OTHER PROBLEMS WHEN CONVERTING JAPANESE DATA Stephen Prust source 9
PNWSUG 2008 Get Your Hands Dirty Using the FORMAT Procedure Marge Scerbo 13
NESUG 2008 Try, Try Again: Replication-Based Variance Estimation Methods for Survey Data Analysis in SAS 9.2 Pushpal K. Mukhopadhyay 16
PharmaSUG 2008 Dynamically Create Variable Labels from Data Set Values Wei Xu 4
PharmaSUG 2008 SAS to MS-Excel, Auto-Loading a Full SAS Library into a Multi-Tabbed, Labeled Column, Excel Spreadsheet Joe Perry 9
SGF 2008 Get Your Hands Dirty Using the FORMAT Procedure Marge Scerbo source 13
SGF 2008 ODS and Output Data Sets: What You Need to Know Myra A. Oltsik source 13
SGF 2008 Practical Methods for Creating CDISC SDTM Data Sets from Existing Data Robert W. Graebner source 11
SGF 2008 Try, Try Again: Replication-Based Variance Estimation Methods for Survey Data Analysis in SAS 9.2 Anthony B. An,
Pushpal K. Mukhopadhyay,
Randall D. Tobias,
Donna L. Watts		 source 16
NESUG 2007 %DO Loop - A Simple Dynamic Programming Technique Yunchao (Susan) Tian 4
NESUG 2007 A Lazy Programmer Case Study: Dynamic Macro Code to Deal with Changing Number of Variables over Time Suzanne M. Dorinski 14
NESUG 2007 An RTF Document Index: Easier Than You Think Electra Small 10
NESUG 2007 Exploratory Visualization of Correlation Matrices Shi-Tao Yeh 18
NESUG 2007 Metadata 101: A Beginner's Guide to Table-Driven Applications Programming Frank C. DiIorio 11
WUSS 2007 Auto-Attributes: No More Typing of Variable Labels (and Other Attributes) Jonathan M. Squire,
Johnny Tai		 source 7
WUSS 2007 Macro To Put Variable Labels Into A SAS Dataset From A Crosswalk Table Adam Chow source 9
WUSS 2007 The SORT Procedure: Beyond the Basics David Fickbohm source 7
PNWSUG 2007 Utilizing PHREG for Cox proportional hazards regression modeling with time-varying covariates Marla J. Husnik,
Eugene Huang		 14
PharmaSUG 2007 Exploratory Visualization of Correlation Matrices Shi-Tao Yeh 17
PharmaSUG 2007 From CRF Data to DEFINE.XML: Going "End to End" with Metadata Frank C. DiIorio,
Jeffrey M. Abolafia		 20
SGF 2007 Creating Microsoft Excel Pivot Tables from SAS - (Part 2) John DeMeo source 8
SGF 2007 Enhancing RTF Output with RTF Control Words and In-Line Formatting Lori S. Parsons source 10
SGF 2007 Funny ^Stuff~ in My Code - Using ODS ESCAPECHAR Cynthia L. Zender source 16
SGF 2007 I Want It All - Recovering Variable Labels When Importing Data from Microsoft Access Dimitri Shvorob source 5
SGF 2007 Reading Excel Workbooks Edward Heaton source 13
SGF 2007 Win the Pennant! Use PROC FORMAT Marge Scerbo source 13
SCSUG 2006 Data requests, quickly Elisa L. Priest 6
WUSS 2006 SAS's Various Varying Variables, or 1000+ Ways to Manipulate SAS Variables Paul A. Choate source 14
NESUG 2006 How To Produce Almost Perfect RTF Output Suzanne M. Dorinski 20
NESUG 2006 Taming the World Bank Data Using SAS Michael S. Zdeb 6
PharmaSUG 2006 Convert Oracle Database to SAS Data Sets, a Novel Approach Fuping Peng 4
PharmaSUG 2006 Enhancing RTF Output with RTF Control Words and In-Line Formatting Lori S. Parsons 10
PharmaSUG 2006 Get your SAS in gear - Automate the Production of Analysis Datasets Liz Taylor,
Chadds Ford		 10
PharmaSUG 2006 The Utter Simplicity of the TABULATE Procedure Daniel E. Bruns 17
SUGI 2006 A Hands-On Introduction to SAS Basics and the SAS Display Manager Debbie Buck - SC source 12
SUGI 2006 Documentation-Driven Techniques for Building SAS Data Warehouses Leonid Batkhan source 10
SUGI 2006 FREQ n' MEANS Marge Scerbo,
Michael S. Lajiness		 source 19
SUGI 2006 So, Your Data are in Excel! Edward Heaton source 13
SUGI 2006 The SORT Procedure: Beyond the Basics Britta KelseyBassett source 6
SUGI 2006 The Utter Simplicity and Power of the TABULATE Procedure Daniel E. Bruns source 13
SUGI 2006 Using Metadata and Project Data for Data-Driven Programming Brian K. Varney source 10
SESUG 2005 So, Your Data are in Excel! Edward Heaton source 13
MWSUG 2005 Using Meta and Project Data for Data Driven Programming Brian K. Varney 8
WUSS 2005 Documenting Your Data Using the CONTENTS Procedure Curtis A. Smith source 8
NESUG 2005 A Macro to Create Data Definition Documents Aileen L. Yam 6
NESUG 2005 Beyond FORMAT Basics Michael S. Zdeb 20
NESUG 2005 Freq n' Means Marge Scerbo,
Michael S. Lajiness		 19
NESUG 2005 Skinning the Cat This Way and That: Using ODS to Create Word Documents That Work for You Elizabeth Axelrod,
David Shamlin		 9
NESUG 2005 The Survey Data Book an Easy Read via Proc Tabulate and the ODS RTF Destination Electra Small 11
NESUG 2005 Using SAS for Cointegration and Error Correction Mechanism Approaches: Estimating a Capital Asset Pricing Model for House Price Returns Ismail E. Mohamed,
Theresa R. DiVenti		 14
PharmaSUG 2005 Automated Excel-lent Validation Janet E. Stuelpner 9
PharmaSUG 2005 Generating Customized Analytical Reports from SAS Procedure Output Brinda Bhaskar,
Kennan Murray		 9
PharmaSUG 2005 Use ODS Generating Patient Profiles Haibin Shu,
Bala Cynwyd		 6
PharmaSUG 2005 What Would I Do without PROC SQL and the Macro Language? Jeffrey M. Abolafia 5
SUGI 2005 A Hands-On Introduction to SAS DATA Step Programming Debbie Buck - SC source 8
SUGI 2005 CALL EXECUTE: A Powerful Data Management Tool Denis Michel source 13
SUGI 2005 PROC FREQ and PROC MEANS: To Stat or Not to Stat Marge Scerbo,
Michael S. Lajiness		 source 17
SUGI 2005 The Utter Simplicity and Power of the TABULATE Procedure Daniel E. Bruns source 14
SUGI 2005 What Would I Do without PROC SQL and the Macro Language? Jeffrey M. Abolafia source 5
NESUG 2004 Generating Customized Analytical Reports from SAS Procedure Output Brinda Bhaskar,
Kennan Murray		 12
NESUG 2004 Skinning the Cat This Way and That: Using ODS to Create Word Documents That Work for You Elizabeth Axelrod,
David Shamlin		 10
NESUG 2004 The Utter Simplicity and Power of the TABULATE Procedure Daniel E. Bruns 13
SESUG 2004 Methods of Storing SAS Data into Oracle Tables Lois Levin source 9
SESUG 2004 The Utter "Simplicity?" of the TABULATE Procedure - The Final Chapter? Daniel E. Bruns source 13
WUSS 2004 Macro Arrays Make %DO-Looping Easy Ted Clay source
zip		 8
WUSS 2004 The Path to Data Standards Sy J. Truong source 10
WUSS 2004 The Utter Simplicity and Power of the TABULATE Procedure Daniel E. Bruns source 13
MWSUG 2004 Skinning the Cat This Way and That: Using ODS to Create Word Documents That Work for You Elizabeth Axelrod,
David Shamlin		 10
MWSUG 2004 Using Meta and Project Data for Data Driven Programming Brian K. Varney 9
PharmaSUG 2004 A SAS Database Search Engine Gives Everyone the Power to Know Eugene Yeh 11
PharmaSUG 2004 An FDA-Requested XML Replacement for SAS Version 5 Transport Files in U.S. Regulatory Submissions Michael C. Palmer 5
PharmaSUG 2004 Data Standards with and without CDISC Sy J. Truong 8
PharmaSUG 2004 Effective Ways of Validating SAS Programs Sy J. Truong 11
PharmaSUG 2004 Module to create Global Macro Variables with distinctive names matching Date values they carry Anatoly V. Kulinsky 7
SUGI 2004 A SAS Database Search Engine Gives Everyone the Power to Know Eugene Yeh source 11
SUGI 2004 Methods of Storing SAS Data into Oracle Tables Lois Levin source 10
SUGI 2004 Skinning the Cat This Way and That: Using ODS to Create Word Documents That Work for You Elizabeth Axelrod,
David Shamlin		 source 11
SUGI 2004 The Utter "Simplicity?" of the TABULATE Procedure - The Final Chapter? Daniel E. Bruns source 14
SUGI 2004 Using Meta and Project Data for Data Driven Programming (Updated for SAS 8 &SAS 9) Brian K. Varney source 9
SUGI 2004 Widefiles, Deepfiles, and the Fine Art of Macro Avoidance Howard L. Kaplan source 11
WUSS 2003 Mouse Clicking Your Way Viewing and Manipulating Data with Versions 8 and 9 of the SAS System Cyndie B. Gareleck,
Terry Fain		 source 8
WUSS 2003 The Data Dictionary: A Tool for Management of Variables and Access to Data Ted Clay source 9
SESUG 2003 The Utter Simplicity and PPoowweerr of the TABULATE Procedure Daniel E. Bruns source 7
MWSUG 2003 Data Management: Building a Dynamic Application Arthur L. Carpenter,
Richard O. Smith		 12
NESUG 2003 Methods of Storing SAS Data into Oracle Tables Lois Levin 10
NESUG 2003 PROC DOC and Beyond: Is PROC CONTENTS Enough? Louise S. Hadden 4
NESUG 2003 Using ODS to Create Web-Based Neighborhood Profiles for the District of Columbia Peter Tatian 7
VIEWS 2003 A Proc Print to Be Proud Of Lynn Pope presentation 6
PharmaSUG 2003 Automating the Creation of Data Definition Tables (Define.pdf) Using SAS Version 8.2 Eugene Yeh 8
PharmaSUG 2003 Generating Data Definition Tables for Electronic NDA Submissions Robert D. Abelson 4
PharmaSUG 2003 Techniques to Create a Standard Folder Structure in a Windows NT/XP Share Area for Submission Projects and Their Protocols Share Area 6
PharmaSUG 2003 The behind the Scenes of Extracting SAS Data Sets from Oracle Clinical Angela S. Ringelberg 6
PharmaSUG 2003 You've Got Data! : Using SAS from Data Receipt to Reporting Philip Vecchione 8
SUGI 2003 Mouse Clicking Your Way to Viewing and Manipulating Data with Versions 8 and 9 of the SAS System Cyndie B. Gareleck,
Terry Fain		 source
SUGI 2003 The Simplicity and Power of the TABULATE Procedure Daniel E. Bruns source 7
MWSUG 2002 PROC TABULATE Basics Destiny Corporation (a company) 21
SCSUG 2002 PROC TABULATE Basics Dana Rafiee 21
NESUG 2002 How Many Oracle Tables Does It Take to Create One SAS dataset' Jennifer Price 3
SESUG 2002 The Power of PROC DATASETS Lisa M. Davis,
Blue Cross Blue Shield		 source 10
WUSS 2002 Data Management: Building a Dynamic Application Arthur L. Carpenter,
Richard O. Smith		 source 6
WUSS 2002 Mouse Clicking Your Way Viewing and Manipulating Data with Version 8 and 9 of the SAS System Cyndie B. Gareleck,
Terry Fain		 source 8
PharmaSUG 2002 %Qexcel Tackles the Challenges of Converting Data to SAS from Excel Jay Zhou 6
PharmaSUG 2002 Data Definition Tables - Definition and Automation Matthew J. Becker 4
PharmaSUG 2002 Rapid Assessment of Data Set Structures Philip Vecchione 4
SUGI 2002 Fast and Easy Ways to Annoy a Statistician: The Sharing and Presentation of Data Between a SAS Programmer and a Statistician Richard M. Mitchell source 10
SUGI 2002 The Simplicity and Power of the TABULATE Procedure Daniel E. Bruns source 7
MWSUG 2001 The Utter "Simplicity?" of the TABULATE Procedure - The Final Chapter? Daniel E. Bruns 8
MWSUG 2001 The Utter Simplicity of the TABULATE Procedure Daniel E. Bruns 7
NESUG 2001 Fast and Easy Ways to Annoy a Statistician: The Sharing and Presentation of Data Between a SAS Programmer and a Statistician Richard M. Mitchell 10
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
SESUG 2001 Elegant Tables: Dressing Up Your TABULATE Results Lauren E. Haworth source 9
SESUG 2001 PROC REPORT: How To Get Started Malachy J. Foley source 10
SESUG 2001 The Power of PROC DATASETS Lisa M. Davis,
Blue Cross Blue Shield		 source 10
SESUG 2001 The Utter "Simplicity?" of the TABULATE Procedure - The Final Chapter? Daniel E. Bruns source 8
SCSUG 2001 Basic SAS PROCedures for Generating Quick Results Kirk Paul Lafler 10
SCSUG 2001 Elegant Tables: Dressing Up Your TABULATE Results Lauren E. Haworth 9
SCSUG 2001 PROC REPORT: How To Get Started Malachy J. Foley 10
SCSUG 2001 The Power of PROC DATASETS Lisa M. Davis 10
SUGI 2001 Fast and Easy Ways to Annoy a Statistician: The Sharing and Presentation of Data Between a SAS Programmer and a Statistician Richard M. Mitchell source 10
SUGI 2001 ODS and Browser Interaction Solutions Steven H. Feder source 3
SUGI 2001 That Mysterious Colon (:) Haiping Luo source 5
SUGI 2001 The Power and Simplicity of the TABULATE Procedure Daniel E. Bruns source 7
SCSUG 2000 Programming for Job Security Revisted: Even More Tips and Techniques to Maximize Your Indispensability Arthur L. Carpenter,
Tony Payne		 15
NESUG 2000 ODS and Browser Interaction Solutions Steven H. Feder 3
WUSS 2000 Clinical Data Management: Building a Dynamic Application Arthur L. Carpenter,
Richard O. Smith		 source 6
WUSS 2000 Elegant Tables: Dressing up your TABULATE Output Lauren E. Haworth source 6
SEUGI 2000 Analyzing accounting information on the Internet [presentation] J. L. Machal,
K. Rogiers,
M. Bourgois		 source 19
SEUGI 2000 Using Dynamic Data Exchange to Pour SAS Data into Microsoft Excel [presentation] Koen Vyverman source 21
SEUGI 2000 Web Mining [presentation] Henrik Wagner source 26
PharmaSUG 2000 Using SAS Functions in Data Steps Yue Ye 5
SUGI 2000 The Power and Simplicity of the TABULATE Procedure Daniel E. Bruns source 7
SCSUG 1999 Basic PROC TABULATE Destiny Corporation (a company) 21
SESUG 1999 Statistical Presentations Using the Power of PROC TABULATE C. Olivia Parr Rud source 8
WUSS 1999 Constructing a Data Warehouse as the Foundation for a Client/Serveer Application System Curtis A. Smith source 8
NESUG 1999 Dynamic Generation of SAS Data Step Programming From An Excel Data Dictionary Kathy Hardis Fraeman,
Karen G. Malley		 7
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 Constructing a Data Warehouse Curtis A. Smith source 6
SUGI 1999 Creating Data Driven Programs with the Macro Language Brian K. Varney source 4
SUGI 1999 The Power and Simplicity of the TABULATE Procedure Daniel E. Bruns source 7
SCSUG 1998 PROC TABULATE Introduction Destiny Corporation (a company) 21
NESUG 1998 "PROC TRANSPRINT" AND OTHER ODD USES OF PROC TRANSPOSE Ralph W. Leighton 8
NESUG 1998 Statistical Presentations Using the Power of PROC TABULATE C. Olivia Parr Rud 8
NESUG 1998 What We Really Need is a %By Statement Ray Pass 2
SESUG 1998 Automatic Referencing SAS Macro Variables Using Array Processing, CALL SYMPUT Routine and DO Loops Pei-Chun T. Wan 5
SESUG 1998 PC Hands-On Workshops Destiny Corporation (a company) 20
SESUG 1998 PROC DATACHK Revisited: The DATACHK Macro Jeffrey M. Abolafia,
Carry W. Croghan		 6
SEUGI 1998 Data mining as a tool for Customer Selection [presentation] André Hønsvall,
Nils F. Haarvardsson		 source 20
SUGI 1998 Automatic Referencing SAS Macro Variables Using Array Processing, CALL SYMPUT Routine and DO Loops Pei-Chun T. Wan source 4
SUGI 1998 How Not to Hate Annotate Susan J. Kenny source 7
SUGI 1998 Statistical Presentations Using the Power of PROC TABULATE C. Olivia Parr Rud source 7
SCSUG 1997 The Utter Simplicity of the TABULATE Procedure Daniel E. Bruns 7
WUSS 1997 Presentation of Simple Statistics Using Multiple By-Variables Kathryn A. Valdes source 6
NESUG 1997 Accessing a SAS Variable Label: An Example of the Use of Macro Variables Carl E. Pierchala 2
NESUG 1997 PROC TABULATE: Controlling Table Appearance August V. Treff 11
SESUG 1997 Learning About Your Data: Tips and Techniques for Looking at Large Files Sandra D. Schlotzhauer 10
SESUG 1997 Statistical Presentations Using the Power of PROC TABULATE C. Olivia Parr Rud 8
SESUG 1997 Storage Strategies for Data, Formats, Catalogs and Other Information in Application Development Using The SAS System Sharon Mosley-Hixon,
Raymond L. Ransom		 4
SUGI 1997 Designing Databases Using a Customized SAS/AF Frame Entry Application Esther Kwan source 5
SUGI 1997 Graphing: Taking the Mystery Out of Subscripts and Superscripts (The Why Not's and How To's Are Presented) Lori D. Griffin source 7
SUGI 1997 Introduction to FRAME Entries in SAS/AF Software John C. Boling source 5
SUGI 1997 Learning About Your Data: Tips and Techniques for Looking at Large Files Sandra D. Schlotzhauer,
Bob Anschuetz		 source
SUGI 1997 PROC DATACHK Revisited: The DATACHK Macro Jeffrey M. Abolafia source 6
SUGI 1997 Round Pegs Into Square Holes: Data Warehouses for the Hardware Impaired Michael L. Davis source 6
SUGI 1997 The Utter "Simplicity?" of the TABULATE Procedure - The Final Chapter? Daniel E. Bruns source 6
NESUG 1996 A Simple Way to Create a Clinical Trial Study Data Dictionary Frank Liu 3
NESUG 1996 Manipulate and Create with PROC TABULATE Kimberly A. Mitchell,
Joseph Kufera		 14
NESUG 1996 Round Pegs Into Square Holes: Data Warehouses for the Hardware Impaired Michael L. Davis 8
MWSUG 1996 Formatting and Labeling Variables with SAS Data Set Values Amie Bissonett 6
SUGI 1996 A Simple Way to Create a Clinical Trial Study Data Dictionary Frank Liu source 3
SCSUG 1995 A Macro for Displaying Correlation Matrices Diana L. Urbauer,
Stephen I. Black		 23
MWSUG 1995 Developing SAS/AF Applications for Reviewing Clinical Care Carl R. Haske 5
NESUG 1995 Large Data Volume: Tricks of the Trade Allison Levine 5
NESUG 1995 PROC TABULATE: Controlling Table Appearance August V. Treff 8
SUGI 1995 The DATA Step Debugger William F. Heffner,
Mark V. Schaffer		 source 8
SUGI 1995 Using SAS/AF Software and Frame Entry to Access Data Carl R. Haske source 5
SUGI 1994 An Introduction to PROC TABULATE: A Hands-on Workshop Christopher Toppe source 6
SUGI 1994 Object Oriented Reports Using the FORMS Procedure Warren Repole Jr. source 2
SUGI 1994 SAS Software Techniques in Longitudinal Studies of Health Outcomes and Costs Julia Hecht,
Jenifer Ehreth,
Mary Durham,
David Grembowski,
Joseph Picciano		 source 6
SUGI 1994 SAS/PH-Clinical Software: Study Startup Hints Juliana M. Ma,
Sandra D. Schlotzhauer		 source
SUGI 1994 Tables for Two: An Introduction to the TABULATE Procedure Kathy McLeod source 10
NESUG 1993 Automated Customized Data Entry Screen Generation Tracy Millander,
Ronald Fitzmartin		 5
SEUGI 1993 Verification of National Character Support in the SAS System Anders Skollermo source 13
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 DSGEN: Magically Generate SAS Data Sets, Customized Screens and Formats Without Writing Source Code Bernadette H. Johnson,
Bonnie Duncan		 source 5
SUGI 1993 Frequency Tables Using the SAS System: What They Are and What They Could Be Grant Blank source 4
SUGI 1993 SAS Data Dictionary Tool Box Allan E. Williams,
Peter Dueber,
Lynette M. Browne		 source 5
SCSUG 1992 Converting SAS Data Sets with Label Information to ASCII Files Glenn Millard 10
NESUG 1992 Settling Up Batch Procedures to Edit and Update Survey Research Databases with Large Numbers of Variables John A. Wenston 6
SUGI 1992 A Bootstrap Evaluation of the EM Algorithm for Censored Survival Data George W. Pasdirtz source 6
SUGI 1992 A Menu-Driven SAS/QC Software Application Mary B. Obenshain source 5
SUGI 1992 Automatic Documentation of COBOL Systems John D. Smith source 6
SUGI 1991 Analyzing a Survey: A Bunch of Tips for a Mess of Questions William G. LeBlanc source 4
SUGI 1991 The SAS System: Interface to DEC'"'s Common Data Dictionary Ken D. Worsham source 6
SUGI 1991 The Table Macros: A Pathway for Converting the QPRINT Procedure in Version 6 of SAS Software George E. Demuth source 2
SEUGI 1990 Handling of Open-Ended Questions Using the SAS System B. M. Christensen source 12
SEUGI 1990 TLOAD An Alternative for SQLLOAD Hans de Roos source 5
SUGI 1990 Fun and Games with the LENGTH and LABEL Statements Standish Sibley source 4
SEUGI 1989 Data On Data Karsten Boye Rasmussen source 11
SEUGI 1989 Using Extended Tables In Version 6 Of SAS/AF Software Georg Morsing source 6
SUGI 1989 A Meta-database Implementation Strategy for Documentation and Retrieval Using the SAS System John Podgurski source 10
SUGI 1989 Comparison of the QPRINT Procedure with the PRINT Procedure Ann K. Doty,
Jane Whitner		 source 6
SUGI 1989 Using Extended Tables in Version 6 SAS/AF Software Glenn H. Itano source 6
SUGI 1988 A DataEase' to SAS Interface Frank E. Harrell Jr.,
Lawrence H. Muhlbaier		 source 5
SUGI 1988 A Documentation and Retrieval Strategy using the SAS System John Podgurski source 6
SUGI 1988 SCOGEN: A System for Generating Rote SAS Code Mark P. Branagh source 4
SUGI 1988 The SAS System by Forms: Putting Statistical Power into the Hands of an End-User Jonathan W. Lee source 6
SUGI 1987 A Codebook Template for the Creation and Use of Permanent SAS Data Sets and Format Libraries (CMS Applications) John Podgurski source 7
SUGI 1987 Input of Questionnaire Data Using the PROC FSEDIT Screen Michael P. Hudson source 6
SUGI 1987 Report Writing with PROC PRINT and PROC QPRINT James A. LeGoullon,
Debra Martinson		 source 8
SUGI 1987 SAS Macros Designed to Create Camera-Ready, "Typed "Tables Directly from SAS Data Sets Tim J. Gabel source 6
SUGI 1986 Development of a SAS Based Interactive System Used to Analyze Pharmaceutical Production Data M.W. Allee,
J.M. Sauer		 source 6
SUGI 1986 Using SAS/FSP Software and the Macro Facility to Create a Generic Report Writer J. Page Miller source 6
SUGI 1985 Changes and Enhancements to PROC TABULATE Alan Eaton source 15
SUGI 1985 Creating a Summary Table of Normalized(Z) Scores Walter W. Owen Jr. source 5
SUGI 1984 Design Concepts for SAS Applications Ross Merlin source 5
SUGI 1981 PROC EDITOR: A New Design for the 80s Emilio A. Icaza source 4
SUGI 1981 SASGEN: A Program to Write SAS Code for Simple Data Analysis Morse F. Kalt source

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