IDEAS home Printed from https://ideas.repec.org/a/bot/rivsta/v71y2011i3p391-406.html
   My bibliography  Save this article

A comparison of nonparametric estimators of survival under left-truncation and right-censoring motivated by a case study

Author

Listed:
  • Mauro Gasparini

    (Department of Mathematics, Politecnico di Torino - Italy)

  • Martina Gandini

    (Centro regionale per l'epidemiologia e la salute ambientale ARPA Piemonte - Grugliasco, Italy)

Abstract

We present an application of nonparametric estimation of survival in the presence of left-truncated and right-censored data. We confirm the well-known unstable behavior of the survival estimates when the risk set is small and there are too few early deaths. However, in our real scenario where only few death times are necessarily available, the proper nonparametric maximum likelihood estimator, and its usual modification, behave less badly than alternative methods proposed in the literature. The relative merits of the different estimators are discussed in a simulation study extending the settings of the case study to more general scenarios.

Suggested Citation

  • Mauro Gasparini & Martina Gandini, 2011. "A comparison of nonparametric estimators of survival under left-truncation and right-censoring motivated by a case study," Statistica, Department of Statistics, University of Bologna, vol. 71(3), pages 391-406.
    • Handle: RePEc:bot:rivsta:v:71:y:2011:i:3:p:391-406
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:bot:rivsta:v:71:y:2011:i:3:p:391-406. 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: Giovanna Galatà (email available below). General contact details of provider: https://edirc.repec.org/data/dsbolit.html .

    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.