Statistical Methods for Overdispersed Count Data

Statistical Methods for Overdispersed Count Data 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.

Includes reading on several levels, including methodology and applicationsPresents the state-of-the-art on the most recent zero-inflated regression modelsContains a single dataset that is used as a common thread for illustrating all methodologiesIncludes R code that allows the reader to apply methodologies

1. A Brief Overview of Linear Models 2. Generalized Linear Models 3. Overdispersion in Count Data 4. Count Data and Zero Inflation