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SAS® Statistics and Operations Research News SAS
First Quarter 2011 support.sas.com/statistics/  |  subscribe  |  unsubscribe
Dear Reader,

I don't know about you, but so far 2011 has been a busy year for me. Perhaps it's because I wrote not one but two SAS® Global Forum presentations. Plus, I promised the Publications division that I would bring sample chapters of our revision-in-progress book, Categorical Data Analysis Using the SAS® System, to the conference. I had to break a recent string of forays to Florida to see some Red Sox spring training games. (They appear to be doing fine without me!) So this newsletter is short and sweet, but I hope you'll find something useful.

If you're at SAS Global Forum in Las Vegas this year, come see my co-author, Dr. Gary Koch, talk about recent updates in categorical data analysis. You can also hear yours truly discuss upcoming statistical enhancements in SAS/STAT® 9.3. If Las Vegas isn't in the cards, then you can bet I'll be pointing out some of the valuable proceedings papers in future newsletters.

Come find me if you go to Las Vegas. I'll be the tired-looking one searching for Elvis!

Maura  

R&D Research Director, Statistical Applications
SAS® News
Overcoming Overplotting »
No, this isn't a 12-step program for people who plot too much; it's a great blog post from Rick Wicklin of The DO Loop blog fame. It describes how to use the transparency features in the SGPLOT procedure when you have lots of data points with similar coordinates. I've used the SGPLOT procedure a lot in the past few months, and I encourage you to take a look. It's simple and straightforward, and yet rich too.
Discrete Event Simulation with SAS® Simulation Studio »
Discrete event simulation is used to model and investigate systems with complicated mathematical and logical relationships that make analytical solutions impossible – often featuring significant random elements and events. Simulation, one of the most widely used methods in operations research, captures these random elements to enable you to study system performance under varying conditions and configurations. It is employed in a wide variety of fields, including manufacturing, customer service and health care. Find out about modeling systems and resources with SAS Simulation Studio, a graphical discrete event simulation application, available as part of SAS/OR® software and also as an add-on module for JMP® software (as SAS Simulation Studio for JMP).
Learn About the Graph Template Language »
While the statistical procedures and the SG procedures take you a long way in terms of graphical capabilities, you can go even further by understanding and using the Graph Template Language (GTL), the basis of ODS Graphics. With the GTL and the SG procedures, you can easily create professional-looking statistical graphics and modify the graphs that the SAS System automatically produces. Most graphs in this paper are produced in two ways: one graph is produced with the GTL and the TEMPLATE and SGRENDER procedures; the other graph is produced more directly with the SGPLOT procedure or one of the other SG procedures. Each example provides you with prototype programs for getting started with the GTL and the SG procedures.
Rediscover SAS/IML® Software »
For more than 25 years, the SAS/IML programming language has been used by researchers and SAS programmers who write custom algorithms and analyses. Recently, SAS/IML Studio arrived with flashy statistical graphics, new language features and the ability to call the open-source statistical language, R. If you are a longtime SAS/IML programmer, it's time to take a new look at the SAS/IML language. Recent language features and functions make it easier than ever to program modern data-analytic techniques. If you have not used SAS/IML software before, it's time to discover how its high-level matrix-vector programming language can increase your productivity.
Viva Las Vegas! »
SAS Global Forum takes place in Las Vegas on April 4-7. Haven't registered yet? That's all right. If you need a little motivation, how about the talk by keynote speaker and longtime SAS friend Dr. Ray Littell, "Evolution of Linear Models in SAS: A Personal Perspective"? Or come to the new Operations Research section, now playing for keeps. Last year, the conference staff had to turn people away from presentations by keynote speakers Dr. David Dickey and Dr. Joseph Gardiner presentations, so this year section organizers invited them back! Dickey is giving a talk about cointegration and ARCH models, and Gardiner is speaking about logit models. Or you could check out the many papers on text mining – just because. See the statistical tutorials being offered in the Talks and Tutorials section below.

Motivated enough? Then sign on the dotted line – it's now or never!
SAS/STAT® 9.22 Resources »
We're still hearing from a lot of people about our stealth releases – the 9.22 releases of SAS/STAT, SAS/ETS® and SAS/OR – that became available with the third maintenance release of Base SAS 9.2 last summer. If you have the third maintenance release and you have one of these products, you have its 9.22 version. This page includes links to papers and examples that highlight the new features of SAS/STAT 9.22. Included are examples on exact Poisson regression, model averaging and how to use power priors in the MCMC procedure.
SAS/STAT® Procedures A-Z »
If you haven’t memorized the list of 76 (I think) SAS/STAT procedures, you might want to bookmark this link! It contains a list of the procedures from ACECLUS to VARIOGRAM. Click on a procedure name to generate a full description of its capabilities and links to online examples. Want to see what SAS offers for various statistical areas? The right-hand navigation lists the areas covered; click on one, such as Bayesian Analysis, to display a description of the general capabilities for that area and a list of the procedures that provide the various methodologies. 
Talks and Tutorials

The statistical R&D division will present several tutorials at SAS Global Forum on April 4 in Las Vegas:

An Introductory Tutorial on Mixed Models by Funda Gunes

Data Simulation for Evaluating Statistical Methods in SAS by Rick Wicklin

Multiple Comparison Methods in SAS/STAT Software by Randy Tobias

Creating Statistical Graphics with ODS in SAS by Warren Kuhfeld

Randy Tobias will also present his tutorial on Multiple Comparison Methods at the PharmaSUG conference in Nashville, TN, May 8-11.

SAS will also be represented at the following conferences:

INFORMS Conference on Business Analytics & Operations Research (Chicago, April 10-12)

Institute of Business Forecasting & Planning – Demand Planning & Forecasting: Best Practices Conference with Demand Management Forum (Dallas, May 4-6)

The Association for Operations Management (APICS) and Institute of Business Forecasting – Best of the Best S&OP Conference (Chicago, June 16-17)

The International Institute of Forecasters – The 31st Annual International Symposium on Forecasting: Forecasting in a Disruptive World (Prague, Czech Republic, June 26-29)


Tech Support Points Out
ROC Analysis for Binary Response Models Fit in the GLIMMIX, NLMIXED, GAM and Other Procedures »
Learn how to produce graphs of the associated ROC (receiver operating characteristic) curve, and do ROC analysis from a number of statistical procedures that fit logistic models by saving predicted probabilities from the fitted model and letting the LOGISTIC procedure do the rest of the work.
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