IDEAS home Printed from https://ideas.repec.org/a/bla/biomet/v72y2016i3p760-769.html
   My bibliography  Save this article

A log-rank-type test to compare net survival distributions

Author

Listed:
  • Nathalie Grafféo
  • Fabienne Castell
  • Aurélien Belot
  • Roch Giorgi

Abstract

type="main" xml:lang="en"> In population-based cancer studies, it is often interesting to compare cancer survival between different populations. However, in such studies, the exact causes of death are often unavailable or unreliable. Net survival methods were developed to overcome this difficulty. Net survival is the survival that would be observed if the disease under study was the only possible cause of death. The Pohar-Perme estimator (PPE) is a nonparametric consistent estimator of net survival. In this article, we present a log-rank-type test for comparing net survival functions (as estimated by PPE) between several groups. We put the test within the counting process framework to introduce the inverse probability weighting procedure as required by the PPE. We built a stratified version to control for categorical covariates that affect the outcome. We performed simulation studies to evaluate the performance of this test and worked an application on real data.

Suggested Citation

  • Nathalie Grafféo & Fabienne Castell & Aurélien Belot & Roch Giorgi, 2016. "A log-rank-type test to compare net survival distributions," Biometrics, The International Biometric Society, vol. 72(3), pages 760-769, September.
  • Handle: RePEc:bla:biomet:v:72:y:2016:i:3:p:760-769
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/
    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. Nicolas Bovio & Michel Grzebyk & Patrick Arveux & Jean-Luc Bulliard & Arnaud Chiolero & Evelyne Fournier & Simon Germann & Isabelle Konzelmann & Manuela Maspoli & Elisabetta Rapiti & Irina Guseva Canu, 2022. "Work-Related Factors and Lung Cancer Survival: A Population-Based Study in Switzerland (1990–2014)," IJERPH, MDPI, vol. 19(21), pages 1-16, 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:72:y:2016:i:3:p:760-769. 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: 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.