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Abstracts 2007
 

 

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Presentation Abstracts and Speaker Biographies

Rick Langston, BASE SAS R&D, SAS Institute, Inc.

What’s Coming in Version 9.2 of BASE SAS Software
Our morning keynote speaker will present an overview of various new features that will debut in the forthcoming release of Version 9.2 of Base SAS Software, including information on new functions, formats, ODS features, options, procedures, and system features.  This presentation will be of interest to anyone who develops or maintains SAS code.

A Tutorial on PROC FORMAT [Beginner’s Track]
This presentation will introduce the new SAS user to PROC FORMAT and what user-written formats can do.  Included in this tutorial is a discussion of the VALUE and PICTURE statements, the OTHER=clause, the CNTLIN= and CNTLOUT= data sets, and understanding the management of format libraries with the FMTSEARCH option.

  • Rick Langston has been a SAS Software user for 30 years, 27 of which have been at SAS Institute.  He is the manager of the Core Systems Department within the Platform R&D Division at SAS Institute.  Rick's responsibilities include PROC FORMAT, format processing, date/time processing, licensing software, SAS/TOOLKIT Software, and managing the staff for supporting various core-level subsystems in the Base product.  He has delivered keynotes on various aspects of SAS for many regional and local SAS user group conferences in the past 12 years.

Chevell Parker, Technical Support, SAS Institute, Inc.

Now...That’s Your Style!
This paper discusses how to use styles to enhance output or to overcome a variety of problems that are frequently encountered using ODS.  Solutions to these problems involve a variety of methods that use styles and tagsets in PROC TEMPLATE, CSS, scripting, XSL, and more.  Some of the topics that are addressed include the following:  handling of page breaks in HTML; preventing truncated printed HTML output; adding headers, footers, page margins, and repeating headers; landscape printing with ODS HTML; and fine tuning your printed HTML.

The Ten Most Frequently Asked Questions About the SAS Output Delivery System
This presentation focuses on the most frequently asked questions by users to SAS Technical Support consultants about the Output Delivery System (ODS).  Chevell will also briefly introduce some of the major enhancements to ODS added through Release 9.1.3 of SAS System Software such as the ODS Markup Language and the ODS Document facility.  The final topic which Chevell will cover are web-based resources available from SAS Institute that help you get the most from ODS and how to effectively use Technical Support’s services to users.

  • Chevell Parker is a Consultant in the BASE, Macro and ODS group within the Institute's Technical Support Division at SAS Worldwide Headquarters in Cary, NC.  His group supports BASE SAS Procedures, the Macro facility, and the Output Delivery System.  He joined SAS Institute in 1993 and has been using SAS Software for over 15 years.  Prior to joining SAS he was with FirstHealth in his home town of Richmond, Virginia.

Terry Lessman, Mutual of Omaha

SAS Efficiencies: Legal Steroids for Your SAS Programs
Programmers want to write efficient code but certain practices may be costing them processing time and computing resources.  This presentation examines common SAS programming tasks and ways to make them run faster and more efficiently.  Many of the examples show actual “before and after” results of applying the an efficient versus non-efficient approach to the programming requirement.  Three simple techniques shown in this presentation are easy to employ and can drastically reduce CPU and memory requirements, especially when working with large SAS and raw data files.

  • Terry Lessman has been a SAS Software user for 23 years and has presented award-winning papers at Midwest SAS Users Group (MWSUG) and SUGI/SGF conferences.  For the past 16 years Terry has provided SAS support to the 400 SAS users at Mutual of Omaha.  Cutting SAS code feeds his one addiction of chasing the little white ball (golf, not crack).

Rex Pruitt, PREMIER Bankcard, Inc.

Using SAS Macros [Beginner’s Track]
This presentation introduces some basic concepts surrounding the effective use of SAS Macros.  The examples provide some convenient tips and/or tricks using the macro facility, hopefully, without confusing novice SAS users.  Over the years, I have found that understanding and using SAS Macros appropriately can save a lot of time in the maintenance and coding of Base SAS programs.  Also, knowledge of how to use the SAS macro facility can assist with understanding the background processing used in recently developed tools such as Enterprise Miner.

Project Organization Proposal (POP) and Project Leadership Plan Guide

In my 20+ years of experience using SAS and organizing projects, the success or failure of any project, no matter how small or large, generally resulted from how well a project was planned, organized and executed.  This paper presents an easy to use Project Organization Proposal (POP) that can be implemented without adding additional resources to your organization’s MIS or IT divisions.  Also included in this paper is a Project Leadership Plan guide.  This guide serves as a critical planning document, or checklist, to ensure that any project meets with success.  If this guide cannot be completed, the project should not be initiated.

  • Rex Pruitt is a Business Analyst working for PREMIER Bankcard, Inc. in Sioux Falls where he is responsible for portfolio data mining and modeling using Base SAS Software and Enterprise Miner v5.2, among other project leadership responsibilities.  Rex has been using SAS Software since 1986 and is SDSUG’s Chair.  Rex has traveled the world performing accounting process audits and recommending business process improvements.

Andrew Karp, Sierra Information Services

Working with SAS Date and Time Functions [Beginner’s Track]
This presentation shows you how to get the most out of SAS System tools for working with variables representing dates and/or times.  Designed for the beginning to intermediate user of SAS Software, this session discusses how SAS “works” with date and time variables, how to create date and time variables, and programming functions that are designed to simplify your work.  You will also learn about different approaches to how SAS calculates duration (the number of time periods between events), the role of SAS Formats with date and time variables, how SAS INFORMATS are used to create date and time variables from raw data, and the new ANYDATE Informat added in SAS 9 Software.

Steps to Success with PROC MEANS [Beginner’s Track]
This presentation shows you the ten core functionalities of this powerful data analysis/reporting tool in BASE SAS Software you need to know to become successful using it.  Starting with the basics, you will learn how PROC MEANS analyzes the values of numeric variables in a SAS data set, and the kinds of analyses you can perform with it.  You will also learn how PROC MEANS will display the results of its work in either your Output Window or save the results in a new SAS data set.  Going step-by-step through the series of increasingly difficult/complex “steps,” the examples demystify the procedure’s syntax, options and statements for newer users of the SAS System.

  • Andrew Karp is a 25-year SAS user who runs his own SAS Software consulting and training firm, Sierra Information Services from his home in the California Wine Country.  He has spoken at SAS user group event in eleven countries and has presented SAS training classes throughout the world.

Anil Jayaprakash, Experian

Multivariate Analysis Using SAS Software
Multivariate analysis (MVA) or multivariate statistics is a process that involves observations and analysis of more than one variable at a time.  To analyze such data, we need to use some of the powerful multivariate techniques available in SAS.  This paper looks at two important MVA procedures:  The Factor analysis and the Cluster analysis.  Factor analysis allows researchers and analysts to reduce a large number of variables, such as questions and observable variables into smaller meaningful factors.  Cluster analysis unlike the factor analysis, involves classifying cases (or variables) into groups on the basis of similarity across variables (or across cases).

  • Anil Jayaprakash is currently working as a Statistical Analyst at Experian in Lincoln, NE.  He is a SAS Certified Professional and has over five years of experience using SAS.  Anil has a bachelor of engineering degree in Computer Science from Karnatak University, India and a master's degree in Statistics from the University of Nebraska, Lincoln.

 

 

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