Statistical Methods for Overdispersed Count Data - 1st Edition - ISBN: 9781785482663

Statistical Methods for Overdispersed Count Data

1st Edition

Authors: Jean-Francois Dupuy
Hardcover ISBN: 9781785482663
Imprint: ISTE Press - Elsevier
Published Date: 1st May 2018
Page Count: 160
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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.

Key Features

  • 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


Students in statistics, biostatistics, econometrics and professional statisticians with interest in the analysis of count data
Non-statisticians with skills in R softwares (economists, decision-makers in public health…)

Table of Contents

  1. Generalized Linear Models
    2. Over-Scattered Count Data
    3. Count Data and Inflation of Zeros


No. of pages:
© ISTE Press - Elsevier 2018
ISTE Press - Elsevier
Hardcover ISBN:

About the Author

Jean-Francois Dupuy

Jean-Francois Dupuy is a Professor at the INSA Rennes since 2011. From 2009 to 2011, he was a Professor at the University La Rochelle in France. In 2002 he obtained a PhD in Applied Mathematics from the University Paris-Descartes.

Affiliations and Expertise

INSA Rennes, France