When interpreting environmental data, scientists and engineers first must select the correct statistical tool to use for their analysis. By doing this they will be able to make sound decisions in their efforts to solve environmental problems. They need a detailed reference that points out the subtle
Statistical Tools for Measuring Agreement
β Scribed by Lawrence Lin, A. S. Hedayat, Wenting Wu (auth.)
- Publisher
- Springer-Verlag New York
- Year
- 2012
- Tongue
- English
- Leaves
- 173
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Agreement assessment techniques are widely used in examining the acceptability of a new or generic process, methodology and/or formulation in areas of lab performance, instrument/assay validation or method comparisons, statistical process control, goodness-of-fit, and individual bioequivalence. Successful applications in these situations require a sound understanding of both the underlying theory and methodological advances in handling real-life problems. This book seeks to effectively blend theory and applications while presenting readers with many practical examples. For instance, in the medical device environment, it is important to know if the newly established lab can reproduce the instrument/assay results from the established but outdating lab. When there is a disagreement, it is important to differentiate the sources of disagreement. In addition to agreement coefficients, accuracy and precision coefficients are introduced and utilized to characterize these sources.
This book will appeal to a broad range of statisticians, researchers, practitioners and students, in areas of biomedical devices, psychology, medical research, and others, in which agreement assessment are needed. Many practical illustrative examples will be presented throughout the book in a wide variety of situations for continuous and categorical data.
β¦ Table of Contents
Front Matter....Pages i-xvi
Introduction....Pages 1-5
Continuous Data....Pages 7-54
Categorical Data....Pages 55-69
Sample Size and Power....Pages 71-74
A Unified Model for Continuous and Categorical Data....Pages 75-110
A Comparative Model for Continuous and Categorical Data....Pages 111-137
Workshop....Pages 139-152
Back Matter....Pages 153-161
β¦ Subjects
Statistical Theory and Methods
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