IDEAS home Printed from https://ideas.repec.org/a/tsj/stataj/v23y2023i3p774-798.html
   My bibliography  Save this article

Facilities for optimizing and designing multiarm multistage (MAMS) randomized controlled trials with binary outcomes

Author

Listed:
  • Babak Choodari-Oskooei

    (MRC Clinical Trials Unit at UCL)

  • Daniel J. Bratton

    (GlaxoSmithKline)

  • Mahesh K. B. Parmar

    (MRC Clinical Trials Unit at UCL)

Abstract

We introduce two commands, nstagebin and nstagebinopt, that can be used to facilitate the design of multiarm multistage (MAMS) trials with binary outcomes. MAMS designs are a class of efficient and adaptive randomized clinical trials that have successfully been used in many disease areas, including cancer, tu- berculosis, maternal health, COVID-19, and surgery. The nstagebinopt command finds a class of efficient “admissible” designs based on an optimality criterion using a systematic search procedure. The nstagebin command calculates the stagewise sample sizes, trial timelines, and overall operating characteristics of MAMS designs with binary outcomes. Both commands allow the use of Dunnett’s correction to account for multiple testing. We also use the ROSSINI 2 MAMS design, an ongo- ing MAMS trial in surgical wound infection, to illustrate the capabilities of both commands. The new commands facilitate the design of MAMS trials with binary outcomes where more than one research question can be addressed under one protocol.

Suggested Citation

  • Babak Choodari-Oskooei & Daniel J. Bratton & Mahesh K. B. Parmar, 2023. "Facilities for optimizing and designing multiarm multistage (MAMS) randomized controlled trials with binary outcomes," Stata Journal, StataCorp LP, vol. 23(3), pages 774-798, September.
    • Handle: RePEc:tsj:stataj:v:23:y:2023:i:3:p:774-798
    DOI: 10.1177/1536867X231196295
    Note: to access software from within Stata, net describe http://www.stata-journal.com/software/sj23-3/st0728/
    as

    Download full text from publisher

    File URL: http://www.stata-journal.com/article.html?article=st0728
    File Function: link to article purchase
    Download Restriction: no
    File URL: https://libkey.io/10.1177/1536867X231196295?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
    ---><---

    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:tsj:stataj:v:23:y:2023:i:3:p:774-798. 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: Christopher F. Baum or Lisa Gilmore (email available below). General contact details of provider: http://www.stata-journal.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.