If you analyze panel data (a group of subjects tracked over time), you
probably use or have run across Generalized Estimating Equations. GEE
provides Generalized Linear Models (GLM) with the necessary extensions for
panel data and has become a standard technique for modeling panel data. A
new 4-week online course in GEE will equip you with the answers to such
questions as:
What is the most common error is in analyzing panel data? How do you
choose the correct correlation structure in building your model?
"Generalized Estimating Equations" is offered at statistics.com February 9
- March 8. The standard text on GEE, "Generalized Estimating Equations,"
came out in 2002. Its authors, James Hardin and Joseph Hilbe, are the
instructors for this new online course.
Participants will interact with the instructor and fellow students via an
online bulletin board. The course should take about 10 hours per week.
Regular visits to the course discussion board are required, but you can
arrange these at your own convenience. Prerequisite: familiarity with GLM
(Generalized Linear Models).
Sign up at http://www.statistics.com/content/courses.html . Online courses
in statistics taught by leading text authors since 2002.
Peter Bruce
statistics.com
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703-522-5410
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