NOTE TO READER

This text is intended as an electronic book, to be used as an ancillary text to Hilbe, Joseph M. (2011), Negative Binomial Regression, second edition, Cambridge University Press. It consists of additional code, derivations, functions, commands, and examples to the material that is in the aforementioned text. It also consists of updates to items in the book which have undergone enhancement. I provide code and examples using Stata, R, SAS, LIMDEP, and Winbugs. The majority of examples in the text use Stata, with R code shown in associated tables as well as in the text. The examples used in Chapter 15 on Bayesian modeling employs SAS STAT/GENMOD due to its ease of use compared to R and Winbugs – particularly for more elementary models. Stata currently has no Bayesian modeling capability. SAS code is given in this text to assist SAS users who wish to model count data. Wherever possible I give SAS code to duplicate the modeling examples in the text that use Stata and R. This work will continually evolve, so check the edition and date of preparation. I suggest referring to the most current version. Readers are encouraged to send me any related code, or discussion, that they have developed. If appropriate, I will include their work in the text, with a proper acknowledgement. The goal of the published text, as well as this electronic ancillary text, is to provide researchers with a reliable source of information and code for the modeling of count data in all of its varieties. R functions, scripts, and data used in both the published and electronic texts are located in the COUNT package (capital letters), which is posted to CRAN. I will also attempt to keep it as upto-date as possible.