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You can extend your educational opportunities in a number of ways at SAS Global Forum 2011. Sign up to participate in a Pre-Conference Seminar or Statistical Tutorial on Monnday, arrive earlier for SAS Training Courses, or stay for the Post-Conference Seminar.

Pre-Conference Seminars & Statistical Tutorials

Monday, April 4
Seminars and Statistical Tutorials are extra-fee events costing $155 each and include relevant handouts. The Statistical Tutorials are taught by SAS R&D staff.

 Pre-Conference Seminars
8:00 am - 11:30 am
(concurrent offerings)
1:00 pm - 4:00 pm
(concurrent offerings)
   An Introduction to Excel VBA for SAS Programmers    Best Practices in Base SAS Coding
   How to Become a Top SAS Programmer    Fear SAS Graphs No More!
   Introduction to PROC SQL for New Users    The Platform for SAS Business Analytics: Overview
   XML for the SAS Programmer    Understanding Why Your Macros Don't Work
 Statistical Tutorials
8:00 am - 10:00 am
(concurrent offerings)
10:30 am - 12:30 pm
(concurrent offerings)
   Creating Statistical Graphics with ODS in SAS
   Data Simulation for Evaluating Statistical Methods in SAS
   Multiple Comparisons Methods in SAS/STAT Software    An Introductory Tutorial on Mixed Models

These extra-fee items are only available as additions to a conference registration. Package 3 includes your choice of one. EPTO units may not be used to pay for these items.


Morning Seminars

8:00 - 11:30 a.m.

Statistical Tutorials

8:00 - 10:00 a.m.

10:30 a.m. - 12:30 p.m.

Data Simulation for Evaluating Statistical Methods in SAS®
Instructor: Rick Wicklin, SAS

To assess statistical techniques, you often need to create data with known properties, both random and nonrandom. This workshop presents techniques for using the DATA step and SAS/IML® software to simulate data.

You will learn to simulate:

  • Data from common univariate and multivariate distributions, including skewed and heavy-tailed distributions.
  • Data from a mixture of distributions.
  • Data with known properties such as a specific covariance structure or a known regression structure.

You will learn to use simulated data to evaluate:

  • The performance of algorithms.
  • The robustness of statistics.
  • The coverage probabilities of approximate confidence intervals.

This workshop is intended for researchers and practicing statisticians.

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Afternoon Seminars

1:00 - 4:00 p.m.

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