Statistical Methods for Overdispersed Count Data

Download or read book Statistical Methods for Overdispersed Count Data written by Jean-Francois Dupuy and published by Elsevier. This book was released on 2018-11-19 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 applications Presents the state-of-the-art on the most recent zero-inflated regression models Contains a single dataset that is used as a common thread for illustrating all methodologies Includes R code that allows the reader to apply methodologies