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Bayesian Methods for Measures of Agreement.
・ISBN 978-1-4200-8341-5 2009 hard GB£ 124.99
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・ISBN 978-1-138-89404-4 2018 paper GB£ 68.99
￥21,855.- (税込) ※（※）価格はご注文時の参考価格となります。
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電子版あり 大学・学術機関向け電子ブック（eBook）ISBN 978-0-429-13966-6
| 著者・編者 | Broemeling, Lyle D., |
|---|---|
| シリーズ | Chapman & Hall/CRC Biostatistics Series |
| 出版社 | (Chapman & Hall / CRC, US) |
| ページ数 | 340 pp. |
| 言語 | ENG |
| ニュース番号 | ＜250-67370＞ |
解説
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.