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The Cause-Deleted Index: Estimating Cause of Death Contributions to Mortality

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  • QUINCY THOMAS STEWART
Abstract
Causes underlying mortality disparities are often determined by causal decomposition. This method is based on the decomposition of differences in mortality or life expectancy into parameters representing the contribution of underlying causes. It quantifies disparities as differences in mortality rates and does not account for the fact that many underprivileged groups are more likely to die from nearly all causes. Results are driven by the frequency of cause of death. Alternatively, the cause deleted index quantifies the role of underlying causes in mortality disparities as the change in the relative risk of dying that is related to deleting a specific cause. The consistency between the methods in estimating cause of death contributions is analyzed using 2000 U.S. mortality data and simulated mortality profiles. The two methods often produce divergent results because causal decomposition relies on the prevalence of causes of death.

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  • Quincy Thomas Stewart, 2011. "The Cause-Deleted Index: Estimating Cause of Death Contributions to Mortality," Mathematical Population Studies, Taylor & Francis Journals, vol. 18(4), pages 234-257, October.
    • Handle: RePEc:taf:mpopst:v:18:y:2011:i:4:p:234-257
    DOI: 10.1080/08898480.2011.614496
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    Cited by:

    1. Tina Ho & Andrew Noymer, 2017. "Summertime, and the livin’ is easy: Winter and summer pseudoseasonal life expectancy in the United States," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 37(45), pages 1445-1476.

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