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.
- ISBN10 1118553284
- ISBN13 9781118553282
- Publish Date 27 October 2017
- Publish Status Unknown
- Publish Country US
- Imprint John Wiley & Sons Inc
- Pages 360
- Language English