IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-1-4020-4650-6_21.html
   My bibliography  Save this book chapter

Cross-Over Trials Should Not be Used to Test Treatments with Different Chemical Class

In: Statistics Applied to Clinical Trials

Author

Listed:
  • Ton J. Cleophas

    (European Interuniversity College of Pharmaceutical Medicine Lyon
    Albert Schweitzer Hospital, Department Medicine)

  • Aeilko H. Zwinderman

    (Academic Medical Center Amsterdam, Department Biostatistics and Epidemiology)

  • Toine F. Cleophas

    (Technical University)

Abstract

So many unpredictable variables often play a role in clinical trials of new medical treatments that a trial without controls has become almost unconceivable. Usually, a parallel-group design is used: with every patient given a new therapy, a control patient is given standard therapy or a placebo. For the study of reversible treatments of chronic stable conditions with responses that can be measured on relatively short notice a cross-over design can be chosen: a single patient receives both new therapy and a standard therapy or placebo. Of course, we have to be fairly sure that carryover effects of one treatment period carrying on into the other or time effects are negligible. But then the cross-over design has the advantage that it eliminates between-subject variability of symptoms in a treatment comparison. And this makes the design sensitive, particularly with conditions where between-subject variability is notoriously large, e.g., angina pectoris and many other pain syndromes.

Suggested Citation

  • Ton J. Cleophas & Aeilko H. Zwinderman & Toine F. Cleophas, 2006. "Cross-Over Trials Should Not be Used to Test Treatments with Different Chemical Class," Springer Books, in: Statistics Applied to Clinical Trials, chapter 0, pages 239-248, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4020-4650-6_21
    DOI: 10.1007/978-1-4020-4650-6_21
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    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:spr:sprchp:978-1-4020-4650-6_21. 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.springer.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.