IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v12y2024i5p631-d1342725.html
   My bibliography  Save this article

Novel Design and Analysis for Rare Disease Drug Development

Author

Listed:
  • Shein Chung Chow

    (Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC 27710, USA)

  • Annpey Pong

    (Merck & Co., Inc., Rahway, NJ 07065, USA)

  • Susan S. Chow

    (College of Osteopathic Medicine, Kansas City University, Kansas City, MO 64106, USA)

Abstract

For rare disease drug development, the United States (US) Food and Drug Administration (FDA) has indicated that the same standards as those for drug products for common conditions will be applied. To assist the sponsors in rare disease drug development, the FDA has initiated several incentive programs to encourage the sponsors in rare disease drug development. In practice, these incentive programs may not help in achieving the study objectives due to the limited small patient population. To overcome this problem, some out-of-the-box innovative thinking and/or approaches, without jeopardizing the integrity, quality, and scientific validity of rare disease drug development, are necessarily considered. These innovative thinking and/or approaches include but are not limited to (i) sample size justification based on probability statements rather than conventional power analysis; (ii) demonstrating not-ineffectiveness and not-unsafeness rather than demonstrating effectiveness and safety with the small patient population (i.e., limited sample size) available; (iii) the use of complex innovative designs such as a two-stage seamless adaptive trial design and/or an n-of-1 trial design for flexibility and the efficient assessment of the test treatment under study; (iv) using real-world data (RWD) and real-world evidence (RWE) to support regulatory submission; and (v) conducting an individual benefit–risk assessment for a complete picture of the clinical performance of the test treatment under investigation. In this article, we provide a comprehensive summarization of this innovative thinking and these approaches for an efficient, accurate and reliable assessment of a test treatment used for treating patients with rare diseases under study. Statistical considerations including challenges and justifications are provided whenever possible. In addition, an innovative approach that combines innovative thinking and these approaches is proposed for regulatory consideration in rare disease drug development.

Suggested Citation

  • Shein Chung Chow & Annpey Pong & Susan S. Chow, 2024. "Novel Design and Analysis for Rare Disease Drug Development," Mathematics, MDPI, vol. 12(5), pages 1-18, February.
  • Handle: RePEc:gam:jmathe:v:12:y:2024:i:5:p:631-:d:1342725
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/12/5/631/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/12/5/631/
    Download Restriction: no
    ---><---

    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:12:y:2024:i:5:p:631-:d:1342725. 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: 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.