Decomposition of number of life years lost according to causes of death

Stat Med. 2013 Dec 30;32(30):5278-85. doi: 10.1002/sim.5903. Epub 2013 Jul 9.


We study the competing risks model and show that the cause j cumulative incidence function integrated from 0 to τ has a natural interpretation as the expected number of life years lost due to cause j before time τ. This is analogous to the τ-restricted mean lifetime, which is the survival function integrated from 0 to τ. It is discussed how the number of years lost may be related to subject-specific explanatory variables in a regression model based on pseudo-observations, and the method is exemplified using data from a bone marrow transplantation study. Finally, inclusion of standard mortality rates is discussed.

Keywords: competing risks; life expectancy; pseudo-observations; restricted mean; standard mortality rates; survival analysis.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Bone Marrow Transplantation / mortality
  • Cause of Death*
  • Humans
  • Models, Statistical*
  • Survival Analysis*