IDEAS home Printed from https://ideas.repec.org/a/sae/medema/v33y2013i2p176-197.html
   My bibliography  Save this article

Derivation of Background Mortality by Smoking and Obesity in Cancer Simulation Models

Author

Listed:
  • Y. Claire Wang
  • Barry I. Graubard
  • Marjorie A. Rosenberg
  • Karen M. Kuntz
  • Ann G. Zauber
  • Lisa Kahle
  • Clyde B. Schechter
  • Eric J. Feuer

Abstract

Background. Simulation models designed to evaluate cancer prevention strategies make assumptions on background mortality—the competing risk of death from causes other than the cancer being studied. Researchers often use the U.S. life tables and assume homogeneous other-cause mortality rates. However, this can lead to bias because common risk factors such as smoking and obesity also predispose individuals for deaths from other causes such as cardiovascular disease. Methods. We obtained calendar year-, age-, and sex-specific other-cause mortality rates by removing deaths due to a specific cancer from U.S. all-cause life tables. Prevalence across 12 risk factor groups (3 smoking [never, past, and current smoker] and 4 body mass index [BMI] categories [

Suggested Citation

  • Y. Claire Wang & Barry I. Graubard & Marjorie A. Rosenberg & Karen M. Kuntz & Ann G. Zauber & Lisa Kahle & Clyde B. Schechter & Eric J. Feuer, 2013. "Derivation of Background Mortality by Smoking and Obesity in Cancer Simulation Models," Medical Decision Making, , vol. 33(2), pages 176-197, February.
    • Handle: RePEc:sae:medema:v:33:y:2013:i:2:p:176-197
    DOI: 10.1177/0272989X12458725
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0272989X12458725
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0272989X12458725?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Oguzhan Alagoz & Mehmet Ali Ergun & Mucahit Cevik & Brian L. Sprague & Dennis G. Fryback & Ronald E. Gangnon & John M. Hampton & Natasha K. Stout & Amy Trentham-Dietz, 2018. "The University of Wisconsin Breast Cancer Epidemiology Simulation Model: An Update," Medical Decision Making, , vol. 38(1_suppl), pages 99-111, April.

    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:sae:medema:v:33:y:2013:i:2:p:176-197. 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: SAGE Publications (email available below). General contact details of provider: .

    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.