English | ISBN: 1118078586 | 2017 | 360 pages | PDF | 3 MB

               
                
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.