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Measuring Agreement: Models, Methods, and Applications (en Inglés)
Haikady N. Nagaraja
(Autor)
·
Pankaj K. Choudhary
(Autor)
·
Wiley
· Tapa Dura
Measuring Agreement: Models, Methods, and Applications (en Inglés) - Choudhary, Pankaj K. ; Nagaraja, Haikady N.
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Reseña del libro "Measuring Agreement: Models, Methods, and Applications (en Inglés)"
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.
