Statistical Tools for Measuring Agreement - A. S. Hedayat

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Résumé :
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.

Biographie:
Dr. Lawrence I. Lin is Principal Scientist of Baxter International Inc., in the Department of Biostatistics.? He is also Adjunct Professor in the Department of Mathematics, Statistics, and Computer Science, University of Illinois at Chicago. ?More than thirty years consulting experience in clinical trials, research and development (mostly animal toxicity and physiology studies), assay validation and methods comparisons, reliability of products, lab quality control (QC), virus assay and inactivation process, pharmacokinetics, marketing research, litigation, outcome research, product stability, trending of rare events (signal detection), and agreement assessment.? His main lines of research include assessment of agreements, surveillance strategies, data transformation, discriminant analysis, design of clinical trials, medical and pharmaceutical statistics, linear and non-linear modeling, and robust statistics. He has published publications over 30 articles to the traditional journals.? Dr. Lin is a Fellow of the American Statistical Association, and an elected member of the International Statistical Institute.?He has served on as a referee of many international journals including Journal of American Statistical Association, Biometrics, Statistics in Medicines, Communication in Statistics, Journal of Biopharmaceutical Statistics, Journal of Applied Statistics, Journal of Probability and Statistics, to name a few. Wenting Wu is a lead statistician at Mayo Clinic Cancer Center, and Assistant Professor of Biostatistics in Mayo Clinic Graduate School. Her primary research interests are in the areas of designing clinical trials in cancer and measuring agreements. Areas of active research include randomized phase II trials...

Sommaire:
Introduction. - Basic approach for paired continuous data when target values are random or fixed. - Sample size and power. - Unified approach for continuous and categorical data.