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Measuring Agreement: Models, Methods, and Applications. 一致率の測定
・ISBN 978-1-118-07858-7 hard US$ 132.95
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電子版あり 大学・学術機関向け電子ブック（eBook）ISBN 978-1-118-55328-2
| 著者・編者 | Choudhary, Pankaj K. / Nagaraja, H. N., |
|---|---|
| シリーズ | Wiley Series in Probability and Statistics |
| 出版社 | (Wiley, US) |
| 出版年月 | 2017 |
| ページ数 | 352 pp. |
| 言語 | ENG |
| ニュース番号 | ＜641-353 641-P940＞ |
解説
Presents statistical methodologies for analyzing common types of data from method comparison experiments and illustrates their applications through detailed case studies
Measuring Agreement: Models, Methods, and Applications features statistical evaluation of agreement between two or more methods of measurement of a variable with a primary focus on continuous data. The authors view the analysis of method comparison data as a two-step procedure where an adequate model for the data is found, and then inferential techniques are applied for appropriate functions of parameters of the model. The presentation is accessible to a wide audience and provides the necessary technical details and references. In addition, the authors present chapter-length explorations of data from paired measurements designs, repeated measurements designs, and multiple methods; data with covariates; and heteroscedastic, longitudinal, and categorical data. The book also:
* Strikes a balance between theory and applications
* Presents parametric as well as nonparametric methodologies
* Provides a concise introduction to Cohen's kappa coefficient and other measures of agreement for binary and categorical data
* Discusses sample size determination for trials on measuring agreement
* Contains real-world case studies and exercises throughout
* Provides a supplemental website containing the related datasets and R code
Measuring Agreement: Models, Methods, and Applications is a resource for statisticians and biostatisticians engaged in data analysis, consultancy, and methodological research. It is a reference for clinical chemists, ecologists, and biomedical and other scientists who deal with development and validation of measurement methods. This book can also serve as a graduate-level text for students in statistics and biostatistics.