(Wiley Series in Probability and Statistics) 1st Edition
by Pankaj K. Choudhary (Author), Haikady N. Nagaraja (Author)
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.
