You can extend your educational opportunities in a number of ways at SAS Global Forum 2010. Sign up to participate in a Pre-Conference Seminar or Statistical Tutorial on Sunday, arrive earlier for the pre-conference SAS Training courses, or stay for the Post-Conference Seminar.
Pre-Conference Seminars & Statistical Tutorials
Sunday, April 11
Seminars and Statistical Tutorials cost $155 each and include relevant handouts.
The Statistical Tutorials are taught by SAS R&D staff.
These extra-fee items are only available as additions to a conference registration.
| Pre-Conference Seminars | |||
(concurrent offerings) |
(concurrent offerings) |
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| Statistics and SAS for Non-Statisticians | Java Integration with SAS Software |
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| Preparing SAS Programmers for the Pharmaceutical Industry | Expanding SAS' reach with JMP |
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| SAS Enterprise Guide for Experienced SAS Programmers | Exploring the SAS®9 Platform for Business Analytics |
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| Breaking New Ground with SAS® 9.2 ODS Layout Enhancements | Introduction to Graphics Using SAS/GRAPH® Software | ||
| Statistical Tutorials | |||
| 8:00 am - 10:00 am (concurrent offerings) |
10:30 am - 12:30 pm (concurrent offerings) |
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| An Introduction to SAS/IML® Studio for SAS/STAT® Users |
Advanced Tutorial on Logistic Regression | ||
| Introduction to Bayesian Analysis Using SAS® Software | Introduction to the MCMC Procedure in SAS/STAT Software |
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Details:
Morning Seminars8:00 - 11:30 a.m.
Statistics and SAS for Non-Statisticians
Instructor: Ronald Cody, Private Consultant
Presented by Ron Cody (author of Applied Statistics and the SAS Programming Language)
This half-day course is designed for non-statisticians who would like to develop a familiarity with commonly used statistical techniques. Besides covering basic statistical concepts, the SAS procedures needed to perform these statistical techniques will be covered, as well as a discussion of the assumptions that need to be met before these techniques can be used. Examples of statistical tests, as well as annotated SAS output will help bring these concepts down to Earth.
Preparing SAS Programmers for the Pharmaceutical Industry
Instructor: Sunil Gupta, Quintiles
SAS programmers interested in learning and preparing for challenging careers in the pharmaceutical industry will benefit from this unique and in-depth course. Understanding the regulatory submission process and how you can contribute to assure correct and reproducible summary tables are essential. In addition, potential submission setbacks are analyzed to prevent delays using QC plan and risk-based management validation strategies. Finally, required documentation in SAS programs and validation checklists are reviewed to assure FDA regulatory compliance. Class discussions will focus on proven techniques to address real-world issues. Get your SAS technical and validation questions answered and learn efficiency tips for producing a quality regulatory submission in a timely manner.
SAS Enterprise Guide for Experienced SAS Programmers
Instructor: Lorilyn L. Russell, SAS
Enterprise Guide is a wizard-driven Windows application designed to enable quick and easy access to the SAS System using either a point and click interface or a programming interface. Experienced SAS programmers can take advantage of the programming interface to write and submit code or to make modifications to the code written behind the scenes when the point and click functionality is used.
This seminar is designed for experienced SAS programmers who want to use SAS Enterprise Guide as an interface to write, submit or modify code. Experienced SAS programmers who want to learn the point-and-click functionality of SAS Enterprise Guide will also benefit from several of the topics addressed. Topics presented In this seminar include navigating the SAS Enterprise Guide environment, accessing data, using tasks, creating and using prompts, and modifying and enhancing generated code.
Breaking New Ground with SAS® 9.2 ODS Layout Enhancements
Instructor: Daniel O'Connor, SAS
Produce stunning brochures, killer Web sites, jaw-dropping dashboards, and breathtaking documents. This innovative enhancement will allow you to realize the full potential of your SAS® investment by leveraging the latest enhancements to ODS Layout. Easily mix graphics, images, text, and tables, and arrange them on a page however you want. Take today's challenges and make them tomorrow's accomplishments.
Statistical Tutorials
8:00 - 10:00 a.m.
- Create and modify high-level statistical graphics
- Write programs that use interactive graphics to display statistics computed by SAS/STAT procedures
- Call the R language from a SAS/IML Studio program and display results and plots in SAS/IML Studio windows.
An Introduction to SAS/IML® Studio for SAS/STAT® Users
Instructor: Rick Wicklin, SAS
SAS/IML® Studio is new statistical software in SAS 9.2. It provides a highly flexible programming environment in which you can run SAS/STAT® or SAS/IML® analyses and display the results with dynamically linked graphics and data tables. You can also call SAS procedures from a SAS/IML program. SAS/IML Studio is intended for data analysts who write SAS programs to solve statistical problems but need more versatility for data exploration and model building.
This workshop introduces SAS/IML Studio to SAS/STAT users. You will This workshop introduces SAS/IML Studio to SAS/STAT users. You will learn how to:
Attendees should have a basic knowledge of SAS procedures such as UNIVARIATE and GLM. Experience with SAS/IML is helpful but not required.
Introduction to Bayesian Analysis Using SAS® Software
Instructor: Fang K. Chen, SAS
Bayesian methods have become increasingly popular in recent years in a number of different disciplines. This tutorial provides an introduction to Bayesian methods with applications in the areas of the generalized linear model and survival analysis. The first part of the course provides an overview of Bayesian methodology, including motivation and Bayesian inference, as well as computational methods and convergence diagnostics relevant to the SAS implementation. The second part of the course discusses applications using new capabilities in SAS/STAT software in the GENMOD, LIFEREG and PHREG procedures which are based on Gibbs sampling. Examples will include methods such as linear regression, logistic regression, Poisson regression, Cox regression, parametric survival models, and the piecewise exponential model.
A master's level knowledge of statistics is assumed as well as experience with generalized linear models and survival analysis. Previous exposure to Bayesian methods is useful but not required.
10:30 a.m. - 12:30 p.m.
Advanced Tutorial on Logistic Regression
Instructor: Maura Stokes, SAS
This tutorial addresses numerous advanced topics in logistic regression. Ordinal logistic regression and nominal logistic regression can be employed when you have more than two response outcomes. Conditional logistic regression enables you to perform estimation in highly stratified setting by "conditioning out" nuisance parameters. With exact logistic regression is suitable when you have sample sizes that are too small, or data that are too sparse, for the usual asymptotic estimation. This tutorial describes the methodology for these techniques and then discusses their application with real-world examples. Other topics may include random-intercept models, Firth's penalized likelihood, scoring, and ROC analysis, time-permitting.
Attendees MUST have a strong understanding of logistic regression for the dichotomous case in order to take this tutorial.
Introduction to the MCMC Procedure in SAS/STAT Software
Instructor: Fang K. Chen, SAS
The MCMC procedure is a general purpose Markov chain Monte Carlo simulation tool designed to fit Bayesian models. It uses a self-tuned random walk Metropolis algorithm to generate samples from the targeted posterior distributions. This workshop will review the methods available with PROC MCMC and demonstrate its use with a series of real-world applications. Examples will include fitting a variety of parametric models, including generalized linear models, linear and nonlinear models, hierarchical models, zero-inflated Poisson models, and mixture models. Additional Bayesian topics-such as sensitive analysis, meta-analysis, inference of the functionals, and power priors-will be discussed and applications demonstrated with the MCMC procedure. This workshop is intended for statisticians and data analysts who are interested in Bayesian computations. Attendees should have a basic understanding of Bayesian methods and experience using the SAS language.
Afternoon Seminars
1:00 - 4:00 p.m.
Java Integration with SAS Software
Instructor: Frederick Pratter, Eastern Oregon University
SAS 9.2 supports Java object oriented programming in a number of ways. This workshop provides examples of integrating SAS and Java programming. In particular some of the topics will include using JDBC drivers with SAS for input and output, INFILE PIPE to read output from Java standard output, the _NEW_ operator and DECLARE statement to create an instance of a Java object and some examples of writing SAS Web applications in Java. Basic SAS DATA step knowledge is assumed along with some familiarity with the Java programming language.
Expanding SAS' reach with JMP
Instructor: Wayne J. Levin, Predictum Inc.
A popular snack that combines peanut butter with chocolate uses the tag line: "two great tastes that go great together." In this class, we will cover the essentials of integrating JMP with SAS directly and via JMP Scripting Language (JSL) to play on each other's strengths. We will review the power behind JSL that allows it to write SAS code, submit it and obtain the results for dynamic visualization in JMP.
Exploring the SAS®9 Platform for Business Analytics
Instructor: Christine Vitron, SAS
Are you interested in learning about the SAS®9 architecture? Do you wish you had a better understanding of your configured SAS®9 platform for Business Analytics and all that metadata? This seminar quickly takes you through SAS®9's n-tier architecture and exposes you to the types of servers in the SAS®9 environment and their roles. This seminar will provide an overview of how SAS applications interact with SAS servers to access, manipulate, and report on data from various sources.
Introduction to Graphics Using SAS/GRAPH® Software
Instructor: Mike Kalt, SAS
This session introduces two of the most commonly used SAS/GRAPH procedures – GCHART and GPLOT – and illustrates how they are used to produce bar charts, pie charts, scatter plots, and line plots. The session will also demonstrate how to export graphs produced by SAS/GRAPH to Web pages, Microsoft Office products, and PDF files.