Statistical Methods for Overdispersed Count Data
  • Author : Jean-Francois Dupuy
  • Release Date : 19 November 2018
  • Publisher : Elsevier
  • Genre : Medical
  • Pages : 192
  • ISBN 13 : 9780081023747

Statistical Methods for Overdispersed Count Data Book Summary

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

Statistical Methods for Overdispersed Count Data

Statistical Methods for Overdispersed Count Data

Author : Jean-Francois Dupuy
Publisher : Elsevier
Genre : Medical
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File Size : 44,9 Mb
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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 ...

Statistical Methods for Overdispersed Count Data

Statistical Methods for Overdispersed Count Data

Author : Jean-Francois Dupuy
Publisher : ISTE Press - Elsevier
Genre : Medical
Total View : 9419 Views
File Size : 53,7 Mb
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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 ...

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