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

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

Medical Decision Making, 2013, vol. 33, issue 2, 176-197

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 [

Keywords: life tables; background mortality; cancer simulation (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:sae:medema:v:33:y:2013:i:2:p:176-197

DOI: 10.1177/0272989X12458725

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