Applied Categorical and Count Data Analysis

-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.