IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v13y2022i1d10.1038_s41467-022-33355-0.html
   My bibliography  Save this article

Author Correction: Identification of optimal dosing schedules of dacomitinib and osimertinib for a phase I/II trial in advanced EGFR-mutant non-small cell lung cancer

Author

Listed:
  • Kamrine E. Poels

    (Harvard T.H. Chan School of Public Health
    Dana Farber Cancer Institute)

  • Adam J. Schoenfeld

    (Weill Cornell Medical College)

  • Alex Makhnin

    (Weill Cornell Medical College)

  • Yosef Tobi

    (Weill Cornell Medical College)

  • Yuli Wang

    (Pfizer Inc)

  • Heidie Frisco-Cabanos

    (Massachusetts General Hospital Cancer Center)

  • Shaon Chakrabarti

    (Harvard T.H. Chan School of Public Health
    Dana Farber Cancer Institute
    Harvard University)

  • Manli Shi

    (Pfizer Inc)

  • Chelsi Napoli

    (Massachusetts General Hospital Cancer Center)

  • Thomas O. McDonald

    (Harvard T.H. Chan School of Public Health
    Dana Farber Cancer Institute
    Harvard University
    Dana-Farber Cancer Institute)

  • Weiwei Tan

    (Pfizer Inc)

  • Aaron Hata

    (Massachusetts General Hospital Cancer Center
    The Ludwig Center at Harvard
    Department of Medicine, Harvard Medical School)

  • Scott L. Weinrich

    (Pfizer Inc)

  • Helena A. Yu

    (Weill Cornell Medical College)

  • Franziska Michor

    (Harvard T.H. Chan School of Public Health
    Dana Farber Cancer Institute
    Harvard University
    Dana-Farber Cancer Institute)

Abstract

No abstract is available for this item.

Suggested Citation

  • Kamrine E. Poels & Adam J. Schoenfeld & Alex Makhnin & Yosef Tobi & Yuli Wang & Heidie Frisco-Cabanos & Shaon Chakrabarti & Manli Shi & Chelsi Napoli & Thomas O. McDonald & Weiwei Tan & Aaron Hata & S, 2022. "Author Correction: Identification of optimal dosing schedules of dacomitinib and osimertinib for a phase I/II trial in advanced EGFR-mutant non-small cell lung cancer," Nature Communications, Nature, vol. 13(1), pages 1-1, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-33355-0
    DOI: 10.1038/s41467-022-33355-0
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-022-33355-0
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-022-33355-0?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
    ---><---

    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:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-33355-0. 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.nature.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.