A Few Resources on Zero-Inflated Poisson Models

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.


Poisson and Negative Binomial Regression for Count Data
Learn when you need to use Poisson or Negative Binomial Regression in your analysis, how to interpret the results, and how they differ from similar models.

Reader Interactions


  1. Shafique says

    Thank you for providing a useful source on the web which I often find very helpful. I was quite hopeful to find here some help on the issue:
    zero-inflated negative binomial model for panel data, especially for random effects model, and its implementation in Stata etc.

    Any suggestions?

    Best regards,

  2. Joseph Hilbe says

    I happened to take a break and saw this site/entry. Obviously it caught my interest. Let me say first of all that there is a second edition to the book, Negative Binomial Regression (2011, Cambridge Univ Press) with a second printing of 2012. The book is 572 pages in length and covers just about every count model discussed in the literature. I start with understanding risk and rate ratio, and how these differ from odds and odds ratio (because many of my readers also have my book, Logistic Regression Models (2009, Chapman & Hall/CRC). I give complete R and Stata code for all of the models and examples discussed. My attempt was to write as clear and understandible a book as possible – one I wish I had when first learning about the subject. I teach the Statistics.com courses on logistic regression and modeling count data, so have good feedback from those taking the month-long web courses. which amount to over 120 participants each year.

    • Karen says

      Thanks for the recommendation, Barbara. I haven’t read it, but just based on what’s in the Table of Contents, it looks good.

      How technical is it?


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