Bayesian Analysis Made Simple: An Excel GUI for WinBUGS

Phil Woodward

August 26, 2011 by Chapman and Hall/CRC
Reference - 364 Pages - 222 B/W Illustrations
ISBN 9781439839546 - CAT# K11808
Series: Chapman & Hall/CRC Biostatistics Series


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  • Shows how to integrate the power of Bayesian methods with the convenience that comes with using Excel to store and explore data
  • Provides numerous case studies that cover a vast range of model types and illustrate how to use BugsXLA to undertake an appropriate Bayesian analysis
  • Shows how even some of the more complex aspects of model specification can be routinely applied, such as GLMMs, outlier robust models, random effects Emax models, auto-regressive errors, and Bayesian variable selection
  • Gives up-to-date discussions of several current issues in the practical application of Bayesian methods, providing references for further study


Although the popularity of the Bayesian approach to statistics has been growing for years, many still think of it as somewhat esoteric, not focused on practical issues, or generally too difficult to understand.

Bayesian Analysis Made Simple is aimed at those who wish to apply Bayesian methods but either are not experts or do not have the time to create WinBUGS code and ancillary files for every analysis they undertake. Accessible to even those who would not routinely use Excel, this book provides a custom-made Excel GUI, immediately useful to those users who want to be able to quickly apply Bayesian methods without being distracted by computing or mathematical issues.

From simple NLMs to complex GLMMs and beyond, Bayesian Analysis Made Simple describes how to use Excel for a vast range of Bayesian models in an intuitive manner accessible to the statistically savvy user. Packed with relevant case studies, this book is for any data analyst wishing to apply Bayesian methods to analyze their data, from professional statisticians to statistically aware scientists.

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