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Updated: Jul 19, 2026
Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Competing risks to breast cancer mortality
1School of Business and Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI 53706, USA. mrosenberg@bus.wisc.edu
Background:
Simulation models analyzing the impact of treatment interventions and screening on the level of breast cancer mortality require an input of mortality from causes other than breast cancer, or competing risks.
Methods:
This chapter presents an actuarial method of creating cohort life tables using published data that removes breast cancer as a cause of death.
Results:
Mortality from causes other than breast cancer as a percentage of all-cause mortality is smallest for women in their forties and fifties, as small as 85% of the all-cause rate, although the level and percentage of the impact varies by birth cohort.
Conclusion:
This method produces life tables by birth cohort and by age that are easily included as a common input by the various CISNET modeling groups to predict mortality from other causes. Attention to removing breast cancer mortality from all-cause mortality is worthwhile, because breast cancer mortality can be as high as 15% at some ages.
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