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 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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