Online course - Modeling Longitudinal and Panel Data, Aug. 4 - Sept. 1
Dr. Joseph Hilbe will be giving his online course "Modeling Longitudinal
and Panel Data" at statistics.com August 4 to September 1. 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 7-15 hours per week.
Register at:
http://www.statistics.com/courses/longitudinal/
Peter Bruce
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