Provides an accessible foundation to Bayesian analysis using real world models

This book aims to present an introduction to Bayesian modelling and computation, by considering real case studies drawn from diverse fields spanning ecology, health, genetics and finance. Each chapter comprises a description of the problem, the corresponding model, the computational method, results and inferences as well as the issues that arise in the implementation of these approaches.

Case Studies in Bayesian Statistical Modelling and Analysis

• Illustrates how to do...

Hospitals are becoming more complex and monitoring is increasing both because staff want their data analyzed and because of increasing mandated surveillance. This book provides a clear, easy-to-understand introduction to statistical methods using R, with emphasis on the needs of scientists in hospital departments who are responsible for producing a growing number of reports and are frequently actively involved in improving safety, but who have fairly limited statistical expertise. Although some complex methods are employed, such as the Bayesian random-effects model, these are kept to a simple...