IDEAS home Printed from https://ideas.repec.org/a/eee/csdana/v36y2001i4p525-537.html
   My bibliography  Save this article

Interval estimation of the ED50 when a logistic dose-response curve is incorrectly assumed

Author

Listed:
  • Huang, Yangxin

Abstract

No abstract is available for this item.

Suggested Citation

  • Huang, Yangxin, 2001. "Interval estimation of the ED50 when a logistic dose-response curve is incorrectly assumed," Computational Statistics & Data Analysis, Elsevier, vol. 36(4), pages 525-537, June.
  • Handle: RePEc:eee:csdana:v:36:y:2001:i:4:p:525-537
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-9473(00)00054-2
    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. Byron J. T. Morgan, 1985. "The Cubic Logistic Model for Quantal Assay Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 34(2), pages 105-113, June.
    2. Peter Harris & Mark Hann & Simon Kirby & John Dearden, 1999. "Interval estimation of the median effective dose for a logistic dose-response curve," Journal of Applied Statistics, Taylor & Francis Journals, vol. 26(6), pages 715-722.
    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. Karunamuni, Rohana J. & Tang, Qingguo & Zhao, Bangxin, 2015. "Robust and efficient estimation of effective dose," Computational Statistics & Data Analysis, Elsevier, vol. 90(C), pages 47-60.
    2. Rousseeuw, Peter J. & Christmann, Andreas, 2003. "Robustness against separation and outliers in logistic regression," Computational Statistics & Data Analysis, Elsevier, vol. 43(3), pages 315-332, July.

    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. Yangxin Huang, 2002. "Robustness of interval estimation of the 90% effective dose: Bootstrap resampling and some large-sample parametric methods," Journal of Applied Statistics, Taylor & Francis Journals, vol. 29(7), pages 1071-1081.
    2. Hanemann, W. Michael & Kanninen, Barbara, 1996. "The Statistical Analysis Of Discrete-Response Cv Data," CUDARE Working Papers 25022, University of California, Berkeley, Department of Agricultural and Resource Economics.
    3. Huang, Yangxin, 2002. "On large-sample parametric approaches for interval estimation of the ED90," Computational Statistics & Data Analysis, Elsevier, vol. 40(3), pages 527-537, September.
    4. Yangxin Huang, 2003. "Selection of number of dose levels and its robustness for binary response data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 30(10), pages 1135-1146.

    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:36:y:2001:i:4:p:525-537. 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.