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Regression

• building and evaluating multiple polynomial regression models
• dealing with violations of model assumptions

Analysis of Variance

• performing n-way ANOVA
• interpreting significant interactions
• writing CONTRAST and ESTIMATE statements
• understanding issues associated with unbalanced data

Regression Using Indicator Variables and Analysis of Covariance

• using and interpreting indicator variables in the REG procedure
• building and interpreting analysis of covariance models using the GLM procedure
• comparing regression using indicator variables with analysis of covariance

Generalized Linear Models

• using the GENMOD procedure to fit Poisson, negative binomial, and gamma regression models

Linear Mixed Models

• performing linear mixed model analysis

Classroom: Students attend classroom courses in one of our public training centers. You receive a hardcopy of the course notes and, in some courses, can choose to take home a copy of the course data.

Live Web: Students attend Live Web classes using a Web browser and a telephone and interact with their instructor and fellow classmates in real time. Each student receives an e-mail with instructions on how to join the class three business days before the class begins. The instructions e-mail includes a link to download the course materials. Students need to download and print the course materials prior to class.

This course addresses SAS/STAT, SAS/ETS, SAS/GRAPH. You benefit from this course even if SAS/GRAPH software is not installed at your location.

For Live Web,

• review and meet the general system requirements.
• complete the course exercises through our virtual lab. The virtual lab allows you to access the software used in class over the Internet, so that you do not need this software on your local machine.
• run this test to connect to a virtual lab session. If firewall problems prevent you from connecting to the virtual lab, you will need the following software installed and configured in your environment to participate in the course exercises:
  • Base SAS 9.2 or 9.1.3 on a Windows operating system; SAS/STAT software; SAS/ETS software; and SAS/GRAPH software; or SAS Learning Edition.
    Important: Students using SAS Learning Edition will need to create a shortcut to the SAS windowing environment (SAS Explorer, Enhanced Editor, Log, and Output windows) for use during the class. Follow these instructions for creating a shortcut to SAS prior to class.