IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v13y2025i12p1937-d1676088.html
   My bibliography  Save this article

Online Multi-Layer FDR Control

Author

Listed:
  • Runqiu Wang

    (Department of Biostatistics, University of Nebraska Medical Center, Omaha, NE 68198, USA)

  • Ran Dai

    (Department of Biostatistics, University of Nebraska Medical Center, Omaha, NE 68198, USA)

Abstract

When hypotheses are tested in a stream and real-time decision-making is needed, online sequential hypothesis testing procedures are needed. Furthermore, these hypotheses are commonly partitioned into groups by their nature. For example, RNA nanocapsules can be partitioned based on the therapeutic nucleic acids (siRNAs) being used, as well as the delivery nanocapsules. When selecting effective RNA nanocapsules, simultaneous false discovery rate control at multiple partition levels is needed. In this paper, we develop hypothesis testing procedures which control the false discovery rate (FDR) simultaneously for multiple partitions of hypotheses in an online fashion. We provide rigorous proofs for their FDR or modified FDR (mFDR) control properties and use extensive simulations to demonstrate their performances.

Suggested Citation

  • Runqiu Wang & Ran Dai, 2025. "Online Multi-Layer FDR Control," Mathematics, MDPI, vol. 13(12), pages 1-17, June.
    • Handle: RePEc:gam:jmathe:v:13:y:2025:i:12:p:1937-:d:1676088
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/13/12/1937/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/13/12/1937/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Aaditya Ramdas & Jianbo Chen & Martin J Wainwright & Michael I Jordan, 2019. "A sequential algorithm for false discovery rate control on directed acyclic graphs," Biometrika, Biometrika Trust, vol. 106(1), pages 69-86.
    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. Ruodu Wang & Aaditya Ramdas, 2022. "False discovery rate control with e‐values," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(3), pages 822-852, July.
    2. Chang, Chiu-Lan & Cai, Qingyun, 2023. "Stock return anomalies identification during the Covid-19 with the application of a grouped multiple comparison procedure," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 168-183.
    3. Guillermo Durand & Gilles Blanchard & Pierre Neuvial & Etienne Roquain, 2020. "Post hoc false positive control for structured hypotheses," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 47(4), pages 1114-1148, December.

    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:gam:jmathe:v:13:y:2025:i:12:p:1937-:d:1676088. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.