Chapter 12: Generalized Linear Mixed Models for Count Data
12.2 Three Examples Illustrating Generalized Linear Mixed Models with Count Data
12.2.1 Completely Randomized Design with Discrete Counts
12.2.2 Count Data from a Blocked Design
12.2.3 Linear Regression with Discrete Counts
12.3 Overview of Modeling Considerations for Count Data
12.3.1 Poisson Models and Their Motivation
12.3.2 Overdispersion and Count Data
12.3.3 Negative Binomial Models and Their Motivation
12.3.4 Alternative Distributions for Count Data
12.4 Example 1: Completely Random Design with Count Data
12.4.1 Default Test Statistics and Confidence Intervals in PROC GLIMMIX
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