Statistical Tools for Measuring Agreement

Released on by Lawrence Lin
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  • Statistical Tools for Measuring Agreement Book Detail

  • Author : Lawrence Lin
  • Release Date : 2012-10-30
  • Publisher : Springer Science & Business Media
  • Genre : Mathematics
  • Pages : 174
  • ISBN 13 : 1461405629
  • File Size : 11,11 MB
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Statistical Tools for Measuring Agreement by Lawrence Lin PDF Summary

Book Description: 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.

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Statistical Tools for Measuring Agreement

Statistical Tools for Measuring Agreement

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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 perfo

Measuring Agreement

Measuring Agreement

File Size : 60,60 MB
Total View : 9378 Views
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Presents statistical methodologies for analyzing common types of data from method comparison experiments and illustrates their applications through detailed cas