IDEAS home Printed from https://ideas.repec.org/a/eee/csdana/v51y2007i6p3223-3234.html
   My bibliography  Save this article

Conditional independence of multivariate binary data with an application in caries research

Author

Listed:
  • Garcia-Zattera, Maria Jose
  • Jara, Alejandro
  • Lesaffre, Emmanuel
  • Declerck, Dominique

Abstract

No abstract is available for this item.

Suggested Citation

  • Garcia-Zattera, Maria Jose & Jara, Alejandro & Lesaffre, Emmanuel & Declerck, Dominique, 2007. "Conditional independence of multivariate binary data with an application in caries research," Computational Statistics & Data Analysis, Elsevier, vol. 51(6), pages 3223-3234, March.
    • Handle: RePEc:eee:csdana:v:51:y:2007:i:6:p:3223-3234
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-9473(06)00458-0
    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. Joe, Harry & Liu, Ying, 1996. "A model for a multivariate binary response with covariates based on compatible conditionally specified logistic regressions," Statistics & Probability Letters, Elsevier, vol. 31(2), pages 113-120, December.
    2. Nogales, Agustín G. & Oyola, José A. & Pérez, Paloma, 2000. "On conditional independence and the relationship between sufficiency and invariance under the Bayesian point of view," Statistics & Probability Letters, Elsevier, vol. 46(1), pages 75-84, January.
    Full references (including those not matched with items on IDEAS)

    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. Pei Wang & Dennis L. Chao & Li Hsu, 2011. "Learning Oncogenic Pathways from Binary Genomic Instability Data," Biometrics, The International Biometric Society, vol. 67(1), pages 164-173, March.
    2. repec:jss:jstsof:20:i06 is not listed on IDEAS
    3. Carolyn J. Anderson & Jay Verkuilen & Buddy L. Peyton, 2010. "Modeling Polytomous Item Responses Using Simultaneously Estimated Multinomial Logistic Regression Models," Journal of Educational and Behavioral Statistics, , vol. 35(4), pages 422-452, August.
    4. Carolyn Anderson, 2013. "Multidimensional Item Response Theory Models with Collateral Information as Poisson Regression Models," Journal of Classification, Springer;The Classification Society, vol. 30(2), pages 276-303, July.
    5. Nogales, Agustín G. & Oyola, José A. & Pérez, Paloma, 2001. "A weak notion of equivalence in Bayesian statistical theory," Statistics & Probability Letters, Elsevier, vol. 53(4), pages 401-407, July.

    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:51:y:2007:i:6:p:3223-3234. 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.