GEE Analyses Using the GENMOD Procedure
(Live Web)
Duration: 1
half-day session
Please note the System Requirements below.
CEUs: 0.3
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| Available for on-site training or can be scheduled at any SAS training facility if demand warrants. |
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This course teaches you how to fit GEE regression models for binary outcomes and ordinal outcomes, fit alternating logistic regression (ALR) models for binary outcomes, and perform model diagnostics on GEE models for binary outcomes.
Learn how to
- fit a GEE (generalized estimating equation) regression model for binary outcomes and ordinal outcomes
- compute model diagnostics for GEE regression models
- fit an alternating logistic regression model.
Who should attend
Biostatisticians, epidemiologists, social scientists, physical scientists, and business analysts
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Prerequisites
Before attending this course, you should be able to
Course Contents
The GEE Regression Model
- GEE Regression Models for Binary Outcomes
- GEE Regression Modesl for Ordinal Outcomes
Advanced Topics in GEE Regression
- Model Diagnostics for Gee Regression Models
- Alternating Logistic Regression Models
Software
This course addresses SAS/STAT.
Course Materials
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.
System Requirements
For Live Web, you must
- review and follow 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, then you will need the following software installed and configured in your environment to participate in the course exercises:
- Base SAS, SAS/STAT,SAS/GRAPH, and SAS/IML software, Release 9 or 8.2 under a Windows operating system
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Interest List.
Not currently scheduled.
Available for Live Web delivery
if demand warrants.
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