Dr. Joseph Hilbe will be giving his online course "Modeling
Longitudinal and Panel Data" at statistics.com August 5 -
September 2, 2005. This course covers the extension of
Generalized Linear Models (GLM) to model varieties of
longitudinal and clustered data, called panel data.
Specifically, the course treats generalized estimating
equations (GEE), a population averaging method that models
panel data in which the response is a member of the
exponential family of distributions; e.g., continuous,
binary, grouped, and count. GEE is one of several methods
used to model panel data --- the most noted alternative
being random effect models. The course will discuss GEE
theory, relevant correlation structures, and differences in
both theory and application between population averaging
GEE (PA-GEE) and random effects or subject specific panel
models (SS-GEE). Dr. Hilbe, the co-author of "Generalized
Estimating Equations," is also the software reviews editor
for "The American Statistician."
This course covers model construction, how to estimate the
equations, different types of models, how to deal with
missing data, testing of models, model assumptions, and
more. Familiarity with GLM (Generalized Linear Models) is
a prerequisite.
As with all online courses at statistics.com, there are no
set hours when participants must be online, and you can
interact with the instructor over a period of 4 weeks via a
private discussion board. Course work requires about 10
hours per week.
Register at:
http://www.statistics.com/content/courses/longitudinal/index.html
Peter Bruce
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