IDEAS home Printed from https://ideas.repec.org/a/spr/drugsa/v44y2021i1d10.1007_s40264-020-01011-5.html
   My bibliography  Save this article

Follow-up on the Use of Advanced Analytics for Clinical Quality Assurance: Bootstrap Resampling to Enhance Detection of Adverse Event Under-Reporting

Author

Listed:
  • Björn Koneswarakantha

    (F. Hoffmann-La Roche AG)

  • Yves Barmaz

    (F. Hoffmann-La Roche AG)

  • Timothé Ménard

    (F. Hoffmann-La Roche AG)

  • Donato Rolo

    (Roche Product Ltd.)

Abstract

No abstract is available for this item.

Suggested Citation

  • Björn Koneswarakantha & Yves Barmaz & Timothé Ménard & Donato Rolo, 2021. "Follow-up on the Use of Advanced Analytics for Clinical Quality Assurance: Bootstrap Resampling to Enhance Detection of Adverse Event Under-Reporting," Drug Safety, Springer, vol. 44(1), pages 121-123, January.
  • Handle: RePEc:spr:drugsa:v:44:y:2021:i:1:d:10.1007_s40264-020-01011-5
    DOI: 10.1007/s40264-020-01011-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40264-020-01011-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s40264-020-01011-5?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.

    References listed on IDEAS

    as
    1. Timothé Ménard & Björn Koneswarakantha & Donato Rolo & Yves Barmaz & Leszek Popko & Rich Bowling, 2020. "Follow-Up on the Use of Machine Learning in Clinical Quality Assurance: Can We Detect Adverse Event Under-Reporting in Oncology Trials?," Drug Safety, Springer, vol. 43(3), pages 295-296, March.
    2. Timothé Ménard & Yves Barmaz & Björn Koneswarakantha & Rich Bowling & Leszek Popko, 2019. "Enabling Data-Driven Clinical Quality Assurance: Predicting Adverse Event Reporting in Clinical Trials Using Machine Learning," Drug Safety, Springer, vol. 42(9), pages 1045-1053, September.
    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. Yves Barmaz & Timothé Ménard, 2021. "Bayesian Modeling for the Detection of Adverse Events Underreporting in Clinical Trials," Drug Safety, Springer, vol. 44(9), pages 949-955, September.
    2. Timothé Ménard & Björn Koneswarakantha & Donato Rolo & Yves Barmaz & Leszek Popko & Rich Bowling, 2020. "Follow-Up on the Use of Machine Learning in Clinical Quality Assurance: Can We Detect Adverse Event Under-Reporting in Oncology Trials?," Drug Safety, Springer, vol. 43(3), pages 295-296, March.
    3. Yiqing Zhao & Yue Yu & Hanyin Wang & Yikuan Li & Yu Deng & Guoqian Jiang & Yuan Luo, 2022. "Machine Learning in Causal Inference: Application in Pharmacovigilance," Drug Safety, Springer, vol. 45(5), pages 459-476, May.

    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:spr:drugsa:v:44:y:2021:i:1:d:10.1007_s40264-020-01011-5. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com/economics/journal/40264 .

    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.