IDEAS home Printed from https://ideas.repec.org/a/eee/csdana/v52y2008i3p1572-1586.html
   My bibliography  Save this article

Choosing cross-over designs when few subjects are available

Author

Listed:
  • Bate, S.T.
  • Godolphin, E.J.
  • Godolphin, J.D.

Abstract

No abstract is available for this item.

Suggested Citation

  • Bate, S.T. & Godolphin, E.J. & Godolphin, J.D., 2008. "Choosing cross-over designs when few subjects are available," Computational Statistics & Data Analysis, Elsevier, vol. 52(3), pages 1572-1586, January.
  • Handle: RePEc:eee:csdana:v:52:y:2008:i:3:p:1572-1586
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-9473(07)00203-4
    Download Restriction: Full text for ScienceDirect subscribers only.
    ---><---

    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. J. D. Godolphin, 2004. "Simple pilot procedures for the avoidance of disconnected experimental designs," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 53(1), pages 133-147, January.
    2. Godolphin, J.D., 2006. "The specification of rank reducing observation sets in experimental design," Computational Statistics & Data Analysis, Elsevier, vol. 51(3), pages 1862-1874, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. John N.S. Matthews & Sofia Bazakou & Robin Henderson & Linda D. Sharples, 2023. "Contrasting principal stratum and hypothetical strategy estimands in multi‐period crossover trials with incomplete data," Biometrics, The International Biometric Society, vol. 79(3), pages 1896-1907, September.
    2. Godolphin, P.J. & Godolphin, E.J., 2019. "Robust assessment of two-treatment higher-order cross-over designs against missing values," Computational Statistics & Data Analysis, Elsevier, vol. 132(C), pages 31-45.
    3. Godolphin, J.D. & Warren, H.R., 2014. "An efficient procedure for the avoidance of disconnected incomplete block designs," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 1134-1146.

    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. Godolphin, J.D. & Warren, H.R., 2014. "An efficient procedure for the avoidance of disconnected incomplete block designs," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 1134-1146.
    2. Godolphin, J.D., 2006. "The specification of rank reducing observation sets in experimental design," Computational Statistics & Data Analysis, Elsevier, vol. 51(3), pages 1862-1874, December.
    3. John N.S. Matthews & Sofia Bazakou & Robin Henderson & Linda D. Sharples, 2023. "Contrasting principal stratum and hypothetical strategy estimands in multi‐period crossover trials with incomplete data," Biometrics, The International Biometric Society, vol. 79(3), pages 1896-1907, September.
    4. Godolphin, P.J. & Godolphin, E.J., 2019. "Robust assessment of two-treatment higher-order cross-over designs against missing values," Computational Statistics & Data Analysis, Elsevier, vol. 132(C), pages 31-45.
    5. Godolphin, J.D., 2009. "New formulations for recursive residuals as a diagnostic tool in the fixed-effects linear model with design matrices of arbitrary rank," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2119-2128, April.
    6. Qu, Xianggui & Ogunyemi, Theophilus, 2009. "On the connectedness of saturated square designs," Statistics & Probability Letters, Elsevier, vol. 79(2), pages 211-214, January.

    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:eee:csdana:v:52:y:2008:i:3:p:1572-1586. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/csda .

    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.