Generalized Estimating Equations, Second Edition updates the
best-selling previous edition, which has been the standard text on
the subject since it was published a decade ago. Combining theory
and application, the text provides readers with a comprehensive
discussion of GEE and related models. Numerous examples are
employed throughout the text, along with the software code used to
create, run, and evaluate the models being examined. Stata is used
as the primary software for running and displaying modeling output;
associated R code is also given to allow R users to replicate Stata
examples. Specific examples of SAS usage are provided in the final
chapter as well as on the book s website.
This second edition incorporates comments and suggestions from a
variety of sources, including the Statistics.com course on
longitudinal and panel models taught by the authors. Other
enhancements include an examination of GEE marginal effects; a more
thorough presentation of hypothesis testing and diagnostics,
covering competing hierarchical models; and a more detailed
examination of previously discussed subjects.
Along with doubling the number of end-of-chapter exercises, this
edition expands discussion of various models associated with GEE,
such as penalized GEE, cumulative and multinomial GEE, survey GEE,
and quasi-least squares regression. It also offers a thoroughly new
presentation of model selection procedures, including the
introduction of an extension to the QIC measure that is applicable
for choosing among working correlation structures.
See Professor Hilbe discuss the book."
General
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