1. For a general overview of modeling count variables, you can get free access to the video recording of one of my **The Craft of Statistical Analysis Webinars**:

**Poisson and Negative Binomial for Count Outcomes**

2. One of my favorite books on Categorical Data Analysis is:

Long, J. Scott. (1997). **Regression models for Categorical and Limited Dependent Variables**. Sage Publications.

It’s moderately technical, but written with social science researchers in mind. It’s so well written, it’s worth it. It has a section specifically about Zero Inflated Poisson and Zero Inflated Negative Binomial regression models.

3. Slightly less technical, but most useful only if you use Stata is **Regression Models for Categorical Dependent Variables Using Stata**, **by J. Scott Long and Jeremy Freese.**

4. UCLA’s ATS Statistical Software Consulting Group has some nice **examples of Zero-Inflated Poisson** and other models in various software packages.