IDEAS home Printed from https://ideas.repec.org/a/eee/csdana/v54y2010i1p109-119.html
   My bibliography  Save this article

A multi-rater nonparametric test of agreement and corresponding agreement plot

Author

Listed:
  • Hutson, Alan D.

Abstract

In this note we develop a new method for testing agreement in both the two-dimensional and p-dimensional settings. Our approach takes advantage of some readily available tests of uniformity found in most statistical software packages. In addition, we develop a corresponding agreement plot and define the agreement region. We compare our approach to the concordance correlation coefficient and the intraclass correlation in two dimensions. We conclude that our new test of agreement is more suited towards examining the specific hypothesis of perfect agreement between raters, devices or other such types of measures as defined by points falling precisely on the line of concordance in terms of power and type I error control.

Suggested Citation

  • Hutson, Alan D., 2010. "A multi-rater nonparametric test of agreement and corresponding agreement plot," Computational Statistics & Data Analysis, Elsevier, vol. 54(1), pages 109-119, January.
    • Handle: RePEc:eee:csdana:v:54:y:2010:i:1:p:109-119
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-9473(09)00260-6
    Download Restriction: Full text for ScienceDirect subscribers only.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Lin L. & Hedayat A. S. & Sinha B. & Yang M., 2002. "Statistical Methods in Assessing Agreement: Models, Issues, and Tools," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 257-270, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Liao Jason J. Z. & Capen Robert, 2011. "An Improved Bland-Altman Method for Concordance Assessment," The International Journal of Biostatistics, De Gruyter, vol. 7(1), pages 1-17, January.
    2. Masha Kocherginsky & Megan Huisingh-Scheetz & William Dale & Diane S Lauderdale & Linda Waite, 2017. "Measuring Physical Activity with Hip Accelerometry among U.S. Older Adults: How Many Days Are Enough?," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-13, January.
    3. Correndo, Adrian A. & Hefley, Trevor J. & Holzworth, Dean P. & Ciampitti, Ignacio A., 2021. "Revisiting linear regression to test agreement in continuous predicted-observed datasets," Agricultural Systems, Elsevier, vol. 192(C).
    4. Choudhary Pankaj K, 2010. "A Unified Approach for Nonparametric Evaluation of Agreement in Method Comparison Studies," The International Journal of Biostatistics, De Gruyter, vol. 6(1), pages 1-26, June.
    5. Chen, Chia-Cheng & Barnhart, Huiman X., 2008. "Comparison of ICC and CCC for assessing agreement for data without and with replications," Computational Statistics & Data Analysis, Elsevier, vol. 53(2), pages 554-564, December.
    6. Dejian Lai & Shyang-Yun Pamela Shiao, 2005. "Comparing two clinical measurements: a linear mixed model approach," Journal of Applied Statistics, Taylor & Francis Journals, vol. 32(8), pages 855-860.
    7. Li, Runze & Chow, Mosuk, 2005. "Evaluation of reproducibility for paired functional data," Journal of Multivariate Analysis, Elsevier, vol. 93(1), pages 81-101, March.
    8. Wei, Bo & Dai, Tian & Peng, Limin & Guo, Ying & Manatunga, Amita, 2020. "A new functional representation of broad sense agreement," Statistics & Probability Letters, Elsevier, vol. 158(C).
    9. Gao, Jingjing & Pan, Yi & Haber, Michael, 2012. "Assessment of observer agreement for matched repeated binary measurements," Computational Statistics & Data Analysis, Elsevier, vol. 56(5), pages 1052-1060.
    10. Jose M. Jimenez-Olmedo & Alfonso Penichet-Tomas & Basilio Pueo & Lamberto Villalon-Gasch, 2023. "Reliability of ADR Jumping Photocell: Comparison of Beam Cut at Forefoot and Midfoot," IJERPH, MDPI, vol. 20(11), pages 1-13, May.
    11. Choudhary, Pankaj K., 2007. "Semiparametric regression for assessing agreement using tolerance bands," Computational Statistics & Data Analysis, Elsevier, vol. 51(12), pages 6229-6241, August.
    12. Jordan A. Carlson & Bo Liu & James F. Sallis & Jacqueline Kerr & J. Aaron Hipp & Vincent S. Staggs & Amy Papa & Kelsey Dean & Nuno M. Vasconcelos, 2017. "Automated Ecological Assessment of Physical Activity: Advancing Direct Observation," IJERPH, MDPI, vol. 14(12), pages 1-15, December.
    13. Lisa R. Goldberg & Saad Mouti, 2019. "Sustainable Investing and the Cross-Section of Returns and Maximum Drawdown," Papers 1905.05237, arXiv.org, revised Dec 2023.

    More about this item

    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:eee:csdana:v:54:y:2010:i:1:p:109-119. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/csda .

    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.