Abstract
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.
| Original language | Undefined/Unknown |
|---|---|
| Journal | Statistics in Medicine |
| Volume | 32 |
| Issue number | 30 |
| Pages (from-to) | 5278-5285 |
| Number of pages | 8 |
| ISSN | 0277-6715 |
| Publication status | Published - 30 Dec 2013 |