IDEAS home Printed from https://ideas.repec.org/a/bla/biomet/v67y2011i2p467-475.html
   My bibliography  Save this article

Estimation of the Distribution of Infection Times Using Longitudinal Serological Markers of HIV: Implications for the Estimation of HIV Incidence

Author

Listed:
  • C. Sommen
  • D. Commenges
  • S. Le Vu
  • L. Meyer
  • A. Alioum

Abstract

No abstract is available for this item.

Suggested Citation

  • C. Sommen & D. Commenges & S. Le Vu & L. Meyer & A. Alioum, 2011. "Estimation of the Distribution of Infection Times Using Longitudinal Serological Markers of HIV: Implications for the Estimation of HIV Incidence," Biometrics, The International Biometric Society, vol. 67(2), pages 467-475, June.
  • Handle: RePEc:bla:biomet:v:67:y:2011:i:2:p:467-475
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2010.01473.x
    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. Ruiguang Song & John M. Karon & Edward White & Gary Goldbaum, 2006. "Estimating the Distribution of a Renewal Process from Times at which Events from an Independent Process Are Detected," Biometrics, The International Biometric Society, vol. 62(3), pages 838-846, September.
    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. John D. Rice & Robert L. Strawderman & Brent A. Johnson, 2018. "Regularity of a renewal process estimated from binary data," Biometrics, The International Biometric Society, vol. 74(2), pages 566-574, June.
    2. Jing Ning & Jing Qin & Yu Shen, 2010. "Non‐parametric tests for right‐censored data with biased sampling," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 72(5), pages 609-630, November.
    3. F. G. Badía & C. Sangüesa, 2017. "Log-Convexity of Counting Processes Evaluated at a Random end of Observation Time with Applications to Queueing Models," Methodology and Computing in Applied Probability, Springer, vol. 19(2), pages 647-664, June.
    4. John D. Rice & Brent A. Johnson & Robert L. Strawderman, 2022. "Screening for chronic diseases: optimizing lead time through balancing prescribed frequency and individual adherence," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 28(4), pages 605-636, October.

    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:67:y:2011:i:2:p:467-475. 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.