Modeling Count Data

Preface
1. Varieties of count data
2. Poisson regression
3. Testing overdispersion
4. Assessment of fit
5. Negative binomial regression
6. Poisson inverse Gaussian regression
7. Problems with zeros
8. Modeling under-dispersed count data – generalized Poisson
9. Complex data: more advanced models
Appendix A: SAS code
References
Index.