IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-1-4614-0562-7_1.html
   My bibliography  Save this book chapter

Introduction

In: Statistical Tools for Measuring Agreement

Author

Listed:
  • Lawrence Lin

    (Baxter International Inc.)

  • A. S. Hedayat

    (University of Illinois, Chicago, Department of Mathematics, Statistics and Computer Science)

  • Wenting Wu

    (Mayo Clinic)

Abstract

Consider the problems of assessing 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. The common theme is to assess the agreement between observations (Y ) and their corresponding target values (X). Target values may be considered random or fixed. Commonly used random target values are the gold standard measurements, which are proven and widely acceptable. Commonly used fixed target values are the expected or known 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.

Suggested Citation

  • Lawrence Lin & A. S. Hedayat & Wenting Wu, 2012. "Introduction," Springer Books, in: Statistical Tools for Measuring Agreement, edition 1, chapter 0, pages 1-5, Springer.
  • Handle: RePEc:spr:sprchp:978-1-4614-0562-7_1
    DOI: 10.1007/978-1-4614-0562-7_1
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-1-4614-0562-7_1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.