Statistical methods for overdispersed count data

This title provides a review of the most recent methods and models for such data, including a description of R functions and packages that allow their implementation.

All methods are illustrated on datasets arising in the field of health economics.

As several tools have been developed to tackle over-dispersed and zero-inflated data (such as adjustment methods and zero-inflated models), this book covers the topic in a comprehensive and interesting manner.