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.
God bless The Analysis Factor
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,
shafique
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.
Thanks for always providing excellent information, the website and the newsletter are very helpful. I would like to suggest the book:
Negative binomial regression
Joseph M. Hilbe, Cambridge University Press 2007
http://www.cambridge.org/catalogue/catalogue.asp?isbn=9780521857727&ss=fro
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?
Karen