Measuring Agreement: Models, Methods, and Applications by Pankaj K. Choudhary and Haikady N. Nagaraja
Requirements: Any PDF Reader, 2.5mb
Overview: 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.
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.
Genre: Non-Fiction> Mathematics
– 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
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