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Statistical Methods for Overdispersed Count Data

  • 1st Edition - November 19, 2018
  • Author: Jean-Francois Dupuy
  • Language: English
  • Hardback ISBN:
    9 7 8 - 1 - 7 8 5 4 8 - 2 6 6 - 3
  • eBook ISBN:
    9 7 8 - 0 - 0 8 - 1 0 2 3 7 4 - 7

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… Read more

Statistical Methods for Overdispersed Count Data

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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.