IDEAS home Printed from https://ideas.repec.org/a/bla/biomet/v59y2003i1p25-35.html
   My bibliography  Save this article

Testing the Correlation for Clustered Categorical and Censored Discrete Time-to-Event Data When Covariates Are Measured without/with Errors

Author

Listed:
  • Yi Li
  • Xihong Lin

Abstract

No abstract is available for this item.

Suggested Citation

  • Yi Li & Xihong Lin, 2003. "Testing the Correlation for Clustered Categorical and Censored Discrete Time-to-Event Data When Covariates Are Measured without/with Errors," Biometrics, The International Biometric Society, vol. 59(1), pages 25-35, March.
  • Handle: RePEc:bla:biomet:v:59:y:2003:i:1:p:25-35
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/1541-0420.00004
    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.

    References listed on IDEAS

    as
    1. Xihong Lin & Raymond J. Carroll, 1999. "SIMEX Variance Component Tests in Generalized Linear Mixed Measurement Error Models," Biometrics, The International Biometric Society, vol. 55(2), pages 613-619, June.
    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. Riquelme, Marco & Bolfarine, Heleno & Galea, Manuel, 2015. "Robust linear functional mixed models," Journal of Multivariate Analysis, Elsevier, vol. 134(C), pages 82-98.
    2. Dione Valença & Heleno Bolfarine, 2006. "Testing Homogeneity in Weibull Error in Variables Models," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 58(1), pages 115-129, March.
    3. Glen McGee & Marianthi‐Anna Kioumourtzoglou & Marc G. Weisskopf & Sebastien Haneuse & Brent A. Coull, 2020. "On the interplay between exposure misclassification and informative cluster size," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 69(5), pages 1209-1226, November.
    4. Polzehl, Jorg & Zwanzig, Silvelyn, 2004. "On a symmetrized simulation extrapolation estimator in linear errors-in-variables models," Computational Statistics & Data Analysis, Elsevier, vol. 47(4), pages 675-688, November.
    5. Xu-Ping Zhong & Wing-Kam Fung & Bo-Cheng Wei, 2002. "Estimation in Linear Models with Random Effects and Errors-in-Variables," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 54(3), pages 595-606, September.

    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:bla:biomet:v:59:y:2003:i:1:p:25-35. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0006-341X .

    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.