Statistical Tools for Measuring Agreement

  • Lawrence Lin
  • A. S. Hedayat
  • Wenting Wu

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Lawrence Lin, A. S. Hedayat, Wenting Wu
    Pages 1-5
  3. Lawrence Lin, A. S. Hedayat, Wenting Wu
    Pages 7-54
  4. Lawrence Lin, A. S. Hedayat, Wenting Wu
    Pages 55-69
  5. Lawrence Lin, A. S. Hedayat, Wenting Wu
    Pages 71-74
  6. Lawrence Lin, A. S. Hedayat, Wenting Wu
    Pages 75-110
  7. Lawrence Lin, A. S. Hedayat, Wenting Wu
    Pages 111-137
  8. Lawrence Lin, A. S. Hedayat, Wenting Wu
    Pages 139-152
  9. Back Matter
    Pages 153-161

About this book

Introduction

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.

Keywords

agreement assessments instrument/assay validation statistical process control

Authors and affiliations

  • Lawrence Lin
    • 1
  • A. S. Hedayat
    • 2
  • Wenting Wu
    • 3
  1. 1.Baxter International Inc., WG3-2SRound LakeUSA
  2. 2.Dept. Mathematics, Statistics &, Computer ScienceUniversity of Illinois, ChicagoChicagoUSA
  3. 3.Mayo ClinicRochesterUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-0562-7
  • Copyright Information Springer Science+Business Media, LLC 2012
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-1-4614-0561-0
  • Online ISBN 978-1-4614-0562-7
  • About this book