-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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