Bayesian Methods for Measures of Agreement

by Lyle D. Broemeling

Overview

Using WinBUGS to implement Bayesian inferences of estimation and testing hypotheses, Bayesian Methods for Measures of Agreement presents useful methods for the design and analysis of agreement studies. It focuses on agreement among the various players in the diagnostic process.The author employs a Bayesian approach to provide statistical inferences

Product Details

ISBN-13:	9781040170755
Publisher:	CRC Press
Publication date:	01/12/2009
Series:	Chapman & Hall/CRC Biostatistics Series
Sold by:	Barnes & Noble
Format:	eBook
Pages:	340
File size:	2 MB

About the Author

Lyle D. Broemeling

Table of Contents

Introduction to Agreement. Bayesian Methods of Agreement for Two Raters. More Than Two Raters. Agreement and Correlated Observations. Modeling Patterns of Agreement. Agreement with Quantitative Scores. Sample Sizes for Agreement Studies. Bayesian Statistics. Appendices.

What People are Saying About This

From the Publisher

"This book is a welcome addition to the literature on Bayesian inference as it presents methods for the design and analysis of agreement studies. … The approach presented by the author is novel and the novice will find a helpful introduction to Bayesian inference in an appendix. … The text is readable and will form a valuable reference source. For those unfamiliar with WinBUGS, the author introduces the fundamentals of programming and executing BUGS."
—International Statistical Review, 2010

"This book deals with measures of agreement from a Bayesian perspective, focusing mainly on variants of Cohen’s κ, but also other measures included in Shoukri (2003) and von Eye and Mun (2005), frequentist texts for which this book is intended to be a Bayesian companion. Dr. Broemeling uses examples throughout the book to illustrate concepts rather than resorting to jargon … This book would be valuable for those using the methods in Shoukri and von Eye and Mun. …"
—Journal of the Royal Statistical Society, Series A, Volume 173, Issue 1, January 2010

Editorial Reviews

"This book is a welcome addition to the literature on Bayesian inference as it presents methods for the design and analysis of agreement studies. … The approach presented by the author is novel and the novice will find a helpful introduction to Bayesian inference in an appendix. … The text is readable and will form a valuable reference source. For those unfamiliar with WinBUGS, the author introduces the fundamentals of programming and executing BUGS."
—International Statistical Review, 2010

"This book deals with measures of agreement from a Bayesian perspective, focusing mainly on variants of Cohen’s κ, but also other measures included in Shoukri (2003) and von Eye and Mun (2005), frequentist texts for which this book is intended to be a Bayesian companion. Dr. Broemeling uses examples throughout the book to illustrate concepts rather than resorting to jargon … This book would be valuable for those using the methods in Shoukri and von Eye and Mun. …"
—Journal of the Royal Statistical Society, Series A, Volume 173, Issue 1, January 2010

From the Publisher