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-Describes the basic ideas underlying each concept and model.
-Includes R, SAS, SPSS and Stata programming codes for all the
examples -Features significantly expanded Chapters 4, 5, and 8
(Chapters 4-6, and 9 in the second edition. -Expands discussion for
subtle issues in longitudinal and clustered data analysis such as
time varying covariates and comparison of generalized linear
mixed-effect models with GEE.
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