Agreement evaluation techniques are often used to verify acceptance of a new or generic process, methodology and/or formulation in the areas of laboratory performance, instrument/test validation or method comparison, statistical process control, adaptation quality and individual bioequivalence. Successful applications in these situations require a thorough understanding of both the underlying theory and methodological advances in the management of real problems. This book attempts to effectively mix theory and applications and present many practical examples to readers. For example, in the medical device environment, it is important to know whether the newly established laboratory can replicate the results of the instruments/tests from the well-established but over-explainable laboratory. If there is disagreement, it is important to distinguish the sources of disagreement. In addition to compliance coefficients, precision and accuracy coefficients are introduced and used to characterize these sources. “The book has a good balance between theory and application and is easy to follow…. This will benefit readers who may not have a good statistical background, as well as researchers who know the subject but need more comprehensive coverage. N.A. Ismail, Journal of the American Statistical Association (doi.org/10.1080/01621459.2020.1721246) Presents statistical methods for analyzing the types of current data from comparative experiments and illustrates their applications through detailed case studies – Creates a balance between theory and applications This book will address a wide range of statisticians, researchers, practitioners and students in the fields of biomedical devices, psychology, medical research and others that require evaluation. Many practical examples are presented throughout the book in a multitude of situations for continuous and categorical data. Wenting Wu is a senior statistician at the Mayo Clinic Cancer Center and a biostatistics assistant at the Mayo Clinic Graduate School.
His research focuses on the areas of cancer clinical trial design and measurement agreements. Areas of active research include randomized Phase II studies; Meta-analyses Predictive factor analysis; and clinical efficacy selection of the terminus point in Phase II/III studies. Over the past five years, Dr. Wu has published more than 40 expertly reviewed articles, 2 book chapters and more than 20 conference letters and abstracts. She has also worked as a statistical critic for approximately 10 international journals. Explains sample size determination for measurement agreement trials – provides a concise introduction to Cohen`s Kappa coefficient and other measures of the agreement for binary and categorical measurement agreement: models, methods and applications are a resource for statisticians and biostatists involved in data analysis, advice and methodological research. It is a benchmark for clinical chemists, ecologists, biomedicine and other scientists involved in the development and validation of measurement methods. This book can also be used as a text for students in statistics and biostatistics.
Measurement agreement: Models, methods and applications have a statistical analysis of the match between two or more methods of measuring a variable that is focused on continuous data.