IDEAS home Printed from https://ideas.repec.org/a/bes/jnlasa/v99y2004p127-138.html
   My bibliography  Save this article

A Two-Stage Regression Model for Epidemiological Studies With Multivariate Disease Classification Data

Author

Listed:
  • Chatterjee, Nilanjan

Abstract

No abstract is available for this item.

Suggested Citation

  • Chatterjee, Nilanjan, 2004. "A Two-Stage Regression Model for Epidemiological Studies With Multivariate Disease Classification Data," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 127-138, January.
    • Handle: RePEc:bes:jnlasa:v:99:y:2004:p:127-138
    as

    Download full text from publisher

    File URL: http://www.ingentaconnect.com/content/asa/jasa/2004/00000099/00000465/art00013
    File Function: full text
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Audrey Mauguen & Emily C. Zabor & Nancy E. Thomas & Marianne Berwick & Venkatraman E. Seshan & Colin B. Begg, 2017. "Defining Cancer Subtypes With Distinctive Etiologic Profiles: An Application to the Epidemiology of Melanoma," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(517), pages 54-63, January.
    2. S. Karagulle & Z. Kalaylioglu, 2016. "A test for detecting etiologic heterogeneity in epidemiological studies," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(3), pages 538-549, March.
    3. Mukherjee, Bhramar & Liu, Ivy, 2009. "A note on bias due to fitting prospective multivariate generalized linear models to categorical outcomes ignoring retrospective sampling schemes," Journal of Multivariate Analysis, Elsevier, vol. 100(3), pages 459-472, March.
    4. S. Haneuse & J. Chen, 2011. "A Multiphase Design Strategy for Dealing with Participation Bias," Biometrics, The International Biometric Society, vol. 67(1), pages 309-318, March.

    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:bes:jnlasa:v:99:y:2004:p:127-138. 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 (email available below). General contact details of provider: http://www.amstat.org/publications/jasa/index.cfm?fuseaction=main .

    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.