| Bayesian Methods for Measures of Agreement Contributor(s): Broemeling, Lyle D. (Author) |
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ISBN: 1420083414 ISBN-13: 9781420083415 Publisher: CRC Press OUR PRICE: $133.00 Product Type: Hardcover - Other Formats Published: March 2009 Annotation: Taking a Bayesian approach, this comprehensive reference addresses interobserver agreement, which refers to agreement between two evaluators who record data while observing behavior. The book covers a wide range of topics, including the Bayesian approach to the interclass correlation, the coefficient for continuous outcomes, generalizations of the Kappa coefficient raters and multiple ratings, and the role of consensus. Based on his real-world experience, the author presents practical data sets, exercises in each chapter, and examples from healthcare and law. He also uses WinBUGS, SAS, and Minitab throughout the text. |
| Additional Information |
| BISAC Categories: - Mathematics | Probability & Statistics - Bayesian Analysis - Medical | Biostatistics - Computers | Mathematical & Statistical Software |
| Dewey: 519.542 |
| LCCN: 2008049374 |
| Series: Chapman & Hall/CRC Biostatistics |
| Physical Information: 0.9" H x 6" W x 9.3" (1.35 lbs) 340 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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 based on various models of intra- and interrater agreement. He presents many examples that illustrate the Bayesian mode of reasoning and explains elements of a Bayesian application, including prior information, experimental information, the likelihood function, posterior distribution, and predictive distribution. The appendices provide the necessary theoretical foundation to understand Bayesian methods as well as introduce the fundamentals of programming and executing the WinBUGS software. Taking a Bayesian approach to inference, this hands-on book explores numerous measures of agreement, including the Kappa coefficient, the G coefficient, and intraclass correlation. With examples throughout and end-of-chapter exercises, it discusses how to successfully design and analyze an agreement study. |