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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.
This practical guide—and popular reference—helps you evaluate the efficiency of your company's current safety and health processes and make fact-based decisions that continually improve overall performance. Newly updated, this edition now also shows you how to incorporate safety management system components into your safety performance program and provides you with additional techniques for analyzing safety performance data. Written for safety professionals with limited exposure to statistics and safety-performance-measurement strategies, this comprehensive book shows you how to assess trends, inconsistencies, data, safety climates, and training in your workplace so you can identify areas that need corrective actions before an accident or injury occurs. To help you develop an effective safety metrics program, the author includes both an overview of safety metrics, data collection, and analysis and a set of detailed procedures for collecting data, analyzing it, and presenting it. You'll examine a comprehensive collection of tools and techniques that includes run charts and control charts, trending and forecasting, benchmarking, insurance rating systems, performance indices, the Baldrige Model, and six sigma. In addition, you'll find exercises and questions in each chapter that allow you to practice and review what you've learned. All answers are provided in an appendix. Techniques and tools discussed in this book include descriptive and inferential statistics, cause and effect analyses, measures of variability, and probability. Safety metric program development, implementation, and evaluation techniques are presented as well.
This volume, from an international authority on the subject, deals with the physical and instrumentation aspects of measurement science, the availability of major measurement tools, and how to use them. This book not only lays out basic concepts of electronic measurement systems, but also provides numerous examples and exercises for the student.·Ideal for courses on instrumentation, control engineering and physics ·Numerous worked examples and student exercises