Statistical Methods for Overdispersed Count Data

Provides an overview of statistical methods and models that can be used to analyze over-dispersed and zero-inflated count data

Jean-Francois Dupuy (Author)

9781785482663, Elsevier Science

Hardback, published 21 November 2018

192 pages
22.9 x 15.1 x 1.9 cm, 0.44 kg

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.

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

Subject Areas: Biotechnology [TCB], Personal & public health [MBNH], Biotechnology industries [KNDH1]