Academic Sections
   Government & Healthcare Apps

Heidi Markovitz & Sarah Woodruff

With SESUG in the Washington, DC area, we are looking for SAS® applications designed to serve government and/or health care entities.  Papers should describe both the technical innovations that help to meet their needs and the features which are uniquely suited to those industries.  Have you developed an application that helps with mandated reporting?  Can you share a strategy used to diagnose patient conditions?  Have you used SAS to monitor compliance with regulations?  Do you have a more effective method to analyze outcomes from treatment?  Any application designed to minimize costs in these industries is also welcome.  Take this opportunity to share your applications insight with your colleagues.

Kim Andrews Healthcare Provider Cost Reporting Information System
John Barrow
Aref Dajani
Creating Correlated Variable Tables Dynamically
Manuel Figallo-Monge Macro Design and Usage in a Multi-Tier Architecture for ETL and Google Visualization API Integration
Arthur Furnia Let SAS Do the Downloading: Using Macros to Generate FTP Script Files
 Greg Henderson Fighting Fraud in a Pre-Payment Environment
Benno Kurch
Shirish Nalavade
ODS PDF and RTF application development
Peigang Li
Min Chen
Zhiwei Wang
Development of a SAS Macro for Automated Data Cleaning of Major Outcomes of Interest in Hematopoietic Cell Transplantation
Arthur Li Analysis of a Binary Outcome Variable Using the FREQ and LOGISTIC Procedures
 Erin Lynch My annual reporting is requiring a full staff - Help!
Craig Ray A General-Purpose SAS Report Portal for the Web
Qiling Shi Assign Overpayment to Insurance Data with Adjustments
Mirjana Stojanovic Automatization of Patient Characteristics Report
Tsung-hsun Tsai Categorizing the Degradation State of Aircraft Generators using Rank Order Statistics and SAS CLUSTER Procedure
Ferrell Drewry Tips for Merging SAS/GRAPH® Output into Microsoft PowerPoint
Barbara Okerson Using SAS® to Create Custom Healthcare Graphics


   Beyond the Basics

Harry Droogendyk & Erik Larsen

Beyond the Basics papers articulate advanced programming concepts and SAS functionality.  Papers accepted to this section address a broad spectrum of advanced SAS Foundation topics including ODS, Macro, and sophisticated, efficient PROC and DATA Step programming, SAS Enterprise Guide®, RDBMS data and the reporting and analytics provided by the SAS Business Intelligence suite.

These papers will provide the knowledge needed to implement enhanced techniques and take advantage of the many possibilities afforded by SAS software.

David Abbott Analyst Beware: Five Dangerous Data Step Coding Traps
Rick Andrews SAS Macro Dynamics: from Simple Basics to Powerful Invocations
Scott Burroughs PIPE Dreams: Yet Another Tool for Dynamic Programming
Nate Derby Using Recursion for More Convenient Macros
Paul Dorfman From Obscurity to Utility: ADDR, PEEK, and POKE as DATA Step Programming Tools
Harry Droogendyk Creating Stored Processes with Dynamic, Cascading Prompts
Mark Keintz Condensed and Sparse Indexes for Sorted SAS Datasets
Kirk Paul Lafler An Introduction to SAS Hash Programming Techniques
Kirk Paul Lafler SAS Programming Tips and Techniques
Linda Libeg The SAS Magical Dictionary Tour
Michael Molter ExcelXP on Steroids: Adding Custom Options to the ExcelXP Tagset
Mai Nguyen
Shane Trahan
Inga Allred
Nick Kinsey
Build Excel-Like Pivot Table Using PROC SQL and PROC TRANSPOSE
Robin Rappaport Loading Metadata to the IRS Research Compliance Data Warehouse (CDW) Website: From Excel Spreadsheet to SQL Server Relational Database Using SAS Macro and PROC SQL
Howard Schreier Using SAS Variable Lists Effectively
 Kate Schwarz Becoming a Better Programmer with SAS Enterprise Guide 4.3
George Sharrard Paperless Report Generation and Distribution
Brandon Welch
Ryan Burns
Combining External PDF Files by Integrating SAS and Adobe® Acrobat
Christianna Williams PROC COMPARE -- Worth Another Look!


   Step by Step

Diane Cunningham & Peter Eberhardt

According to the ancient Chinese, "A journey of a thousand miles begins with a single step."

According to modern reckoning, there are many steps along the journey as well.  The Step by Step section will give you the opportunity to share your journey with SAS detailing the steps taken along the way, providing attendees the practical knowledge required to implement solutions immediately.  Just as there are easy and arduous journeys, some of the papers will cover introductory topics while others will cover more advanced problems.  This section is about the process; each paper must include all steps required to arrive at your solution.

Sharon Avrunin-Becker Wandering Cross Reference Lines in PROC GPLOT
Paul Dorfman In Lockstep with the DoW-Loop
 Bari Lawhorn Let’s Give’em Something to TOC About: Transforming the Table of Contents of Your PDF File
John Myers Introduction to SAS Macro Language
Deborah Posner Misquoting Jane Austen in the Name of Quality
Milorad Stojanovic Fuzzy matching - Is there a silver bullet?
Yunbo (Jenny) Sun Why the Bell Tolls 108 times? Stepping Through Time with SAS
Brian Varney A Step by Step Approach to Preparing for a SAS Intelligence Platform Environment Deployment/Migration
Sarah Woodruff Keeping Up Appearances: Turning Specifications into SAS Format Libraries and Statements


   Coders Corner

Claudine Lougee & Andrea Wainright-Zimmerman

Do you have an intriguing or innovative piece of SAS code to share?  Have you written a creative solution to a problem that other SAS users could benefit from seeing in action?  Is there a useful SAS option or technique that you find is underutilized?  These are just the sort of ideas to be explored in Coders’ Corner.  With 10-minute presentation time slots, this fast-paced, dynamic section is just the place to share a bit of your savvy.  Whether you are a SAS veteran using this as an opportunity to share a smaller scale idea or a relative newcomer who has found a fresh perspective, you want to make a submission to Coders’ Corner.  The full range of SAS applications and levels of experience can be explored here.

Brandon Barrett
Binoy Varghese
The Last Line
Brandon Barrett
Binoy Varghese
Show Me The Folder
William Benjamin Jr The Little Engine That Could: Using LIBNAME Engine Options to Enhance Data Transfers Between SAS and Microsoft Excel Files
Spencer Childress
Brandon Welch
Three Easy Ways around Nonexistent or Empty Datasets
Erik Dilts Use Your Cores! An Introduction to Multi-core Processing with SAS
Harry Droogendyk Arrays - Data Step Efficiency
Harry Droogendyk SAS Formats: Effective and Efficient
Jinson Erinjeri Macros for Two-Sample Hypothesis Tests
Imelda Go Counting the Ways to Count in SAS
Patricia Guldin Be Bold with Proc Compare and %RTFTable
Jay Iyengar Can you decipher the code? If you can, maybe you can break it.
Lois Levin SAS Programming Guidelines
Claudine Lougee
Jenine Milum
Proc Format, a Speedy Alternative to Sort/Merge
Vijayalakshmi Sampath Identifying, Tracking, and Analyzing Patterns in Finite Concurrent and Sequential Events using SAS
Jason Schoeneberger RDPLOT: A SAS Macro for Generating Regression Discontinuity Plots
Jonathan Steinberg
Tim Moses
Smoothing Scaled Score Distributions from a Standardized Test using PROC GENMOD
Andrea Wainwright-Zimmerman Intelligent Proc Sort Nodupkey
Mindy Wang How variable-dependent macros can help you
Qin Wang Using SAS to Report Data in XML Format
Adeline Wilcox Windows PowerShell Commands and Scripts for SAS Programmers
Hsiwei Yu
brian deitch
Locally Visible, Remote Data and Format!
Sijian Zhang Our Adverse Event Review Reports Generated All in ODS Report Writing Interface
Erik LarsenCreating a Stored Macro Facility in 10 Minutes


   Hands-on Workshops

Bob Bolen & Mira Shapiro

It’s all in the name.  The common name for Hands-on Workshops, HOW, describes the goal: Attendees will learn how to use the aspect of SAS or JMP you are showing thru real hands-on experience in a directed workshop environment.  Hands-on Workshops require focus and a delicate blend of lecture and exercises.  If you have the imagination to show people how to use your corner of SAS and the creativity to put together a meaningful mix of lecture and exercises, we want to hear from you.

 Vince DelGobbo Creating Stylish Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS
Paul Dorfman Two Guys On Hash
Marje Fecht
Rupinder Dhillon
SAS Enterprise Guide 4.3: Finally a Programmer's Tool
 Sunil Gupta Ready to Become Really Productive Using PROC SQL?
Kirk Paul Lafler Output Delivery System (ODS) - Simply the Basics
Stephanie Thompson Easier than You Think: Creating Maps with SAS Enterprise Guide



Brian Adams & Carol Martell

SESUG2011 will include, for the first time, an exciting new focus–presentations demonstrating the interactive data visualization capabilities of JMP®, the statistical discovery suite developed by SAS.  Topics appropriate to this section include, but are not limited to:

  • Data Visualization using JMP
  • Predictive modeling techniques, including decision trees and neural networks
  • Customized reports, graphics, and maps
  • JMP to Excel and other Microsoft products
  • Tips and tricks for JMP users
All papers MUST include a display of the system or results and should include some programming code and indicate JMP version required.

Melvin Alexander JMP Analytics Applied in Diagnostic Radiology and Neurosurgery Trauma Research
Josh Klick Evaluating Consumer Price Behavior Using JMP
Barbara Okerson JMPing in: A SAS Programmer's look at JMP.
 Jeff Perkinson Create compelling visualizations with geographic data and JMP 9
Mira Shapiro Making Your SAS Data JMP Through Hoops


   Reporting and Information Visualization

Carol Martell & Brian Adams

This section will feature presentations that visually reveal the nature of data and use this visualization to communicate quantitative information.  Topics appropriate to this section include, but are not limited to:

  • Customized reports, graphics, and maps
  • Business intelligence dashboards/balanced scorecards
  • SAS® to Excel and other Microsoft products
  • Customization of ODS output including ODS statistical graphics output
  • SAS Visual Data Discovery tools for visual analytics, visual querying and data filtering
  • SAS integration with Google Earth and GPS data
All papers MUST include a display of the system or results and should include some programming code and indicate SAS version required.

Rick Andrews Printable Spreadsheets Made Easy: Utilizing the SAS Excel XP Tagset
Nate Derby
Laura Vo
Perry Watts
Graphing a Progression of Time Series Plots
 Mike Kalt Introduction to ODS Graphics for the Non-Statistician
Carol Martell A PICTURE is Worth Alot of PUTS
Andrea Wainwright-Zimmerman Quick and Dirty Formatted Excel Woorkbooks Without DDE or ODS
Perry Watts
Nate Derby
Using SAS GTL to Visualize Your Data when there is Too Much of it to Visualize
Robert Williams SAS Code to Export and Create Pivot Tables in Excel 2007


   Statistics and Data Analysis

Venita DePuy Bowden & William Benjamin

Although it's broadened into many related areas, SAS was originally designed for statistical analysis.  Why not get back to our roots and talk about interesting analysis methods?  Whether it's a novel new approach or a new look at an old favorite, this is the place to talk about statistics, data analysis, and data mining.

Dennis Beal An Exact Implicit Enumeration Algorithm for Variable Selection in Multiple Linear Regression Models Using Information Criteria
Mary Anne Bertola
Stacy Balk
Eyes on the Road: A Methodology for Analyzing Complex Eye-Tracking Data
Shilpa Edupganti
Sheetal Nisal
Proc MIXED - Right Options to get Right Output
M. Scott Elliott Time Series Analysis: Separating Overlapping Events
Peter Flom Scatterplots: Basics, enhancements, problems and solutions
Taylor Lewis Tailoring Logistic Regression Model Analyses with the ODDSRATIO Statement in PROC LOGISTIC
George MacDonald
Jeffrey Kromrey
Linear Logistic Test Model: Using SAS to Simulate the Decomposition of Item Difficulty by Algorithm, Sample Size, Cognitive Component and Time to Convergence
Varma Nadimpalli Analysis of a Complex Survey Data
Darryl Putnam PROC SURVEY Says!: Selecting and Analyzing Stratified Samples
 Robert Rodriguez On Deck: SAS/STAT® 9.3
Jason Schoeneberger
Bethany Bell
Jeffrey Kromrey
Acknowledging the Unknown: A SAS Macro for Investigating Omitted Variable Bias in Two-Level Linear Models
Qiling Shi Find Potential Fraud Leads Using Data Mining Techniques
 Rick Wicklin Data Simulation for Evaluating Statistical Methods in SAS®



Milorad Stojanovic & Mirjana Stojanovic

The Poster Section covers any and all uses of SAS software.  Posters should be self explanatory.  While there will be a time slot when authors are available to discuss their posters with conference attendees (“Meet the Presenter” session), your poster will more often be viewed in your absence.  Posters are on display throughout the entire conference, allowing attendees to review the ideas in a quiet, self-paced environment.  Please note “One picture is worth more than a thousand words”.  The best posters are a combination of images, graphs, tables and many more to express your ideas and present methodologies in a creative manner.  Submissions are welcomed from attendees at all levels of SAS experience.

Sharon Avrunin-Becker
Practical Approaches to Counting in SAS: How to Get Started When You Don't Know Where to Begin
John Gerlach
Virginia Redner
Resolving OpenCDISC Error Messages Using SAS
Julie Gloudemans
Corina Owens
Jeffery Kromrey
MV_META: A SAS Macro for Multivariate Meta-Analysis
Berwyn Gonzalvo
Using SAS to Streamline Periodic Reporting of Summary Statistics: Proc Format, Proc Freq, Proc Means,and Output Delivery System
Sharon Hirabayashi
Scatter Plots Using PROC SGPLOT for that Thursday Presentation
Yung-chen Hsu
A Coding Practice for Preparing Adaptive Multistage Testing
Phillip Julian
Using Dictionary Tables to Profile SAS Datasets
Richard La Valley
Nat Wooding
Using SAS to Ease the Proofing of Messy Text
Daniel Levitt
A Macro to Change Windows Filenames
Lei Li
Permutated-block randomization with varying block sizes using SAS Proc Plan
Alan Mann
Emile Barnes
Albert Briggs
Business Intelligence and Analytics: Complements within a Decision Support Culture
Sheetal Nisal
Proc CDISC: Implementation and Assessments
Paerwen Paerhate
Breastfeeding in Developing Countries: A Case Study of Nepalese Children
Thanh Pham
Eun Kyeng Baek
Merlande Petit-Bois
Jeffrey Kro
CI_MEDIATE: A SAS Macro for Computing Point and Interval Estimates of Effect Sizes Associated with Mediation Analysis
Dianne Rhodes
Coping with Job Loss
Patricia Rodriguez de Gil
Jeffrey Kromrey
MISSING_ITEMS: A SAS Macro for Missing Data Imputation in Summative Response Scales
Abbas Tavakoli
Julie Freelove-Charton
Using SAS to Examine Aging Expectation (ERA-38) for Older Adults
Perry Watts
Nate Derby
Using SAS GTL to Visualize Your Data when there is Too Much of it to Visualize
William Zupko
Time Series Regression: Using Proc GPLOT and Proc REG Together to Make One Great Graph
Imam Xierali Does SAS Distance Measurement Differ from ArcGIS Distance Measurement?


   Panel Presentations

Howard Schreier

The Panel Presentation section includes topics of general interest to the SAS community.  Panelists are selected to provide a variety of perspectives.  Audience participation and discussion are encouraged.

SAS Enterprise Business Intelligence Harry Droogendyk
Brian Varney
Migdalen Eley
In recent years the SAS toolkit has expanded in new directions with the emergence of EBI.  Panelists will examine issues such as the role of EBI, the integration of the new tools with the old, and strategies for getting the most value from the software.
In-house SAS User Groups Rick Andrews
David Chapman
Manuel Figallo-Monge
David Wilson
Site or company specific user groups can be convenient and time-saving.  Panelists will discuss their experiences in organizing and leading groups, share program ideas, and identify their discovered best practices.
Online Communities and Social Media Peter Flom
Joe Kelley
Howard Schreier
 Lainie Hoverstad
SAS users have been communicating electronically on a worldwide basis for a quarter century.  In recent years the emergence of social media has led to a proliferation of channels.  Panelists will discuss their experiences from a variety of perspectives and perhaps speculate about what's to come.






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