Measuring agreement models, methods, and applications
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...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
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Hoboken, NJ
John Wiley & Sons, Inc.
2017
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| Subjects: | |
| Online Access: | |
| Collection: | O'Reilly - Collection details see MPG.ReNa |
| Summary: | 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 |
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| Physical Description: | 1 volume illustrations |
| ISBN: | 1118078586 1118553241 9781118553244 |