IDEAS home Printed from https://ideas.repec.org/p/boc/chic11/15.html
   My bibliography  Save this paper

Use of cure fraction model for the survival analysis of uterine cancer patients

Author

Listed:
  • Noori Akhtar-Danesh

    (McMaster University)

  • Alice Lytwyn

    (McMaster University)

  • Laurie Elit

    (McMaster University)

Abstract

Objectives: In population-based cancer studies a cure fraction model classifies patients into those who survive the cancer and those who encounter excess mortality risk compared to the general population [1]. In this presentation we report the proportion cured and the relative survival pattern for patients diagnosed with uterine cancer in Canada over the period of 1992-2005. Methods: We used a non-mixture cure fraction model to estimate the cure fraction rate and the relative survival among “uncured†patients [1]. Then, we predicted the cure fraction rate and median survival for each age group based on the year of diagnosis. Results: Relative survival and cure fraction rate decreased with age but increased gradually over time. Relative survivals for Eastern Canada and Ontario were lower compared to the other regions. The same applies to the comparison between cure fraction rates between the geographical regions. Conclusion: This is the first study using cure fraction model for analysis of uterine cancer. Although there are some limitations attached to this model, it is flexible enough to be used with different parametric distributions and to include different link functions for relative survival analysis. [1] Lambert PC. Modeling of the cure fraction in survival studies. Stata Journal 2007;7:1-25.

Suggested Citation

  • Noori Akhtar-Danesh & Alice Lytwyn & Laurie Elit, 2011. "Use of cure fraction model for the survival analysis of uterine cancer patients," CHI11 Stata Conference 15, Stata Users Group.
    • Handle: RePEc:boc:chic11:15
    as

    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/chic2011/chi11_akhtar_danesh.ppt
    Download Restriction: no
    ---><---

    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:boc:chic11:15. 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: Christopher F Baum (email available below). General contact details of provider: https://edirc.repec.org/data/stataea.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.