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.
