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Competing risks to breast cancer mortality.

Marjorie A Rosenberg¹

¹School of Business and Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI 53706, USA. mrosenberg@bus.wisc.edu

Journal of the National Cancer Institute. Monographs

|October 13, 2006

Summary

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This study introduces a method to create life tables that exclude breast cancer mortality, crucial for accurately modeling cancer interventions. This ensures better predictions of mortality from other causes.

Area of Science:

Epidemiology
Biostatistics
Public Health

Background:

Accurate breast cancer mortality modeling requires accounting for competing risks.
Existing simulation models need reliable data on non-breast cancer mortality.

Purpose of the Study:

To present an actuarial method for constructing cohort life tables.
To remove breast cancer as a cause of death from these life tables.

Main Methods:

Utilizes published data to create cohort life tables.
Employs an actuarial approach to adjust mortality data.

Main Results:

The proportion of non-breast cancer mortality is lowest in women aged 40-59.
This proportion varies by birth cohort and age.

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Conclusions:

The developed method generates life tables by cohort and age.
These tables can be used as input for CISNET modeling groups.
Excluding breast cancer mortality is significant, as it can represent up to 15% of all-cause mortality at certain ages.