Statistical Methods for Overdispersed Count Data
  • Release Date : 19 November 2018
  • Publisher : Elsevier
  • Genre : Medical
  • Pages : 192 pages
  • ISBN 13 : 9780081023747
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Download or read book entitled Statistical Methods for Overdispersed Count Data by author: Jean-Francois Dupuy which was release on 19 November 2018 and published by Elsevier with total page 192 pages . This book available in PDF, EPUB and Kindle Format. 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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Author : K. B. Newman,S. T. Buckland,B. J. T. Morgan,R. King,D. L. Borchers,D. J. Cole,P. Besbeas,O. Gimenez,L. Thomas
Publisher : Springer
Genre : Medical
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