IDEAS home Printed from https://ideas.repec.org/a/bpj/ijbist/v3y2007i1n11.html
   My bibliography  Save this article

The Benjamini-Hochberg Method in the Case of Discrete Test Statistics

Author

Listed:
  • Ferreira José A.

    (Vrije University Medical Centre, Amsterdam)

Abstract

We present a reformulation of the Benjamini-Hochberg method that is useful in 'large-scale' multiple testing problems based on discrete test statistics and derive its basic asymptotic (as the number of hypotheses tends to infinity) properties, subsuming earlier results. A set of gene expression data is used to illustrate the workings of the method in a multiple testing problem based on Kolmogorov-Smirnov and Mann-Whitney statistics.

Suggested Citation

  • Ferreira José A., 2007. "The Benjamini-Hochberg Method in the Case of Discrete Test Statistics," The International Journal of Biostatistics, De Gruyter, vol. 3(1), pages 1-18, July.
    • Handle: RePEc:bpj:ijbist:v:3:y:2007:i:1:n:11
    DOI: 10.2202/1557-4679.1065
    as

    Download full text from publisher

    File URL: https://doi.org/10.2202/1557-4679.1065
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.
    File URL: https://libkey.io/10.2202/1557-4679.1065?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

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

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xiangwei Li & Thomas Delerue & Ben Schöttker & Bernd Holleczek & Eva Grill & Annette Peters & Melanie Waldenberger & Barbara Thorand & Hermann Brenner, 2022. "Derivation and validation of an epigenetic frailty risk score in population-based cohorts of older adults," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    2. Jihee Kim & Gina Ryu & Jeongmin Seo & Miyeon Go & Gyungmin Kim & Sol Yi & Suwon Kim & Hana Lee & June-Yong Lee & Han Sung Kim & Min-Chan Park & Dong Hae Shin & Hyunbo Shim & Wankyu Kim & Soo Young Lee, 2024. "5-aminosalicylic acid suppresses osteoarthritis through the OSCAR-PPARγ axis," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    3. Stelios Pavlidis & Calixte Monast & Matthew J Loza & Patrick Branigan & Kiang F Chung & Ian M Adcock & Yike Guo & Anthony Rowe & Frédéric Baribaud, 2019. "I_MDS: an inflammatory bowel disease molecular activity score to classify patients with differing disease-driving pathways and therapeutic response to anti-TNF treatment," PLOS Computational Biology, Public Library of Science, vol. 15(4), pages 1-23, April.

    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:bpj:ijbist:v:3:y:2007:i:1:n:11. 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: Peter Golla (email available below). General contact details of provider: https://www.degruyter.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.