Preface

1. Introduction
2. The concept of risk
3. Overview of count response models
4. Methods of estimation and assessment
5. Assessment of count models
6. Poisson regression
7. Overdispersion
8. Negative binomial regression
9. Negative binomial regression: modeling
10. Alternative variance parameterizations
11. Problems with zero counts
12. Censored and truncated count models
13. Handling endogeneity and latent class models
14. Count panel models
15. Bayesian negative binomial models

Appendix A. Constructing and interpreting interactions
Appendix B. Data sets and Stata files
References
Index

Joseph M. Hilbe is a Solar System Ambassador with NASA's Jet Propulsion Laboratory at the California Institute of Technology, an adjunct professor of statistics at Arizona State University, and an emeritus professor at the University of Hawaii. Professor Hilbe is an elected fellow of the American Statistical Association and an elected member of the International Statistical Institute (ISI), for which he is Chair of the ISI International Astrostatistics Network. He is the author of Logistic Regression Models (Chapman and Hall/CRC, 2009), a leading text on the subject, and co-author of R for Stata Users (Springer, 2010, with R. Muenchen), Generalized Estimating Equations (Chapman and Hall/CRC, 2002, with J. Hardin) and Generalized Linear Models and Extensions (Stata Press, 2001 and 2007, also with J. Hardin).