Statistical Methods for Overdispersed Count Data

By: Dupuy

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Hardcover | 21 November 2018 | Edition Number 1

At a Glance

Hardcover
192 Pages

Dimensions(cm)
22.9 x 15.2 x 1.27

Hardcover

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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

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