Statistical Methods for Overdispersed Count Data

Statistical Methods for Overdispersed Count Data

1st Edition - November 19, 2018

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  • Author: Jean-Francois Dupuy
  • Hardcover ISBN: 9781785482663
  • eBook ISBN: 9780081023747

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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 (e.g. economists, decision-makers in public health)

Table of Contents

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

Product details

  • No. of pages: 192
  • Language: English
  • Copyright: © ISTE Press - Elsevier 2018
  • Published: November 19, 2018
  • Imprint: ISTE Press - Elsevier
  • Hardcover ISBN: 9781785482663
  • eBook ISBN: 9780081023747

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

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