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st: RE: Negative Binomial Regression |

Date |
Tue, 16 Oct 2007 13:55:51 EDT |

My most recent book, Negative Binomial Regression (Cambridge University Press), was published in Europe in early August, and not until early last month in the U.S. Aside from the standard sites, the book is also being sold through Stata's bookstore: _http://www.stata.com/bookstore/nbr.html_ (http://www.stata.com/bookstore/nbr.html) Stata is used for all examples in the text, except for using LIMDEP with negative binomial mixed model and selection model examples. Of course, many advanced or enhanced Poisson and negative binomial model commands had to be written as Stata ado files. These, together with all data sets used for examples, are posted to the book's CUP web site, but can also be accessed by going to the above Stata address. Among other courses, I teach a web-based course titled, "Modeling Count Data", at _www.statistics.com_ (http://www.statistics.com) . I will be using my book as the course text. But since there has been some interesting work done on GEE models, especially dealing with goodness-of-fit and model selection issues, since I wrote the relevant chapter about a year ago, I thought it necessary to augment the text by adding additional discussion on this new work. I ended up deciding to re-write the section in the book dealing with GEE, adding more material on QIC/QICu, and new discussion and examples of quasi-least squares (QLS). There was a nice article in the previous Stata Journal by Justine Shults and her colleagues on QLS, and they are currently attempting to expand and examples related to the current research. Discussion of GEE appears as a section in Chapter 10 of the book. I decided to go ahead and correct a couple of typos and added some other clarifications in the chapter as well. Also included is an enhanced Reference Section, which includes references for the added citations due to the added discussion. If you have purchased Negative Binomial Regression, I recommend downloading the replacement Chapter 10, which can be found on the statistics.com web site at: _http://www.statistics.com/other/hilbe/index.php_ (http://www.statistics.com/other/hilbe/index.php) Joseph Hilbe ************************************** See what's new at http://www.aol.com * * For searches and help try: * http://www.stata.com/support/faqs/res/findit.html * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

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