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Titlebook: Statistical Tools for Measuring Agreement; Lawrence Lin,A. S. Hedayat,Wenting Wu Book 2012 Springer Science+Business Media, LLC 2012 agree

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發(fā)表于 2025-3-21 19:51:56 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Statistical Tools for Measuring Agreement
編輯Lawrence Lin,A. S. Hedayat,Wenting Wu
視頻videohttp://file.papertrans.cn/877/876668/876668.mp4
概述Appeals to a broad range of statisticians, researchers, practitioners, and students in areas of biomedical devices, psychology, and medical research, in which agreement assessment are needed.Considers
圖書封面Titlebook: Statistical Tools for Measuring Agreement;  Lawrence Lin,A. S. Hedayat,Wenting Wu Book 2012 Springer Science+Business Media, LLC 2012 agree
描述.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 nee
出版日期Book 2012
關鍵詞agreement assessments; instrument/assay validation; statistical process control
版次1
doihttps://doi.org/10.1007/978-1-4614-0562-7
isbn_softcover978-1-4899-8964-2
isbn_ebook978-1-4614-0562-7
copyrightSpringer Science+Business Media, LLC 2012
The information of publication is updating

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發(fā)表于 2025-3-21 21:13:19 | 只看該作者
Introduction,own values. We might be interested in comparing two methods without a designated gold standard method. Sometimes, we may also be interested in comparing a newly developed assay that is alleged to be more precise and accurate than a designated gold standard assay. Within a method, we might be interested in comparing technicians/times/reagents.
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A Unified Model for Continuous and Categorical Data,erence. We then combine the GEE methodology with the knowledge gained from Robieson (1999) and Carrasco and Jover (2003), and propose a unified approach that is applicable to continuous and categorical data.
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發(fā)表于 2025-3-22 15:11:51 | 只看該作者
research, in which agreement assessment are needed.Considers.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
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Categorical Data,tistics presented here are quite different for random and fixed target values due to traditional practice over a long period of time. Therefore, the organization of this chapter is different from that of Chapter 2. In Section 3.1, we will discuss cases in which the target values are random. In Secti
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發(fā)表于 2025-3-23 07:45:31 | 只看該作者
Sample Size and Power,on normal approximation through a simplified and conservative approach. As pointed out previously in assessing agreement, the traditional null and alternative hypotheses should be reversed. The conventional rejection region is now the region of declaring agreement, and is usually one-sided. Asymptot
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