Skip to main content
padlock icon - secure page this page is secure

Nonparametric estimation of the sojourn time distributions for a multipath model

Buy Article:

$52.00 + tax (Refund Policy)


We use a multipath (multistate) model to describe data with multiple end points. Statistical inference based on the intermediate end point is challenging because of the problems of nonidentifiability and dependent censoring. We study nonparametric estimation for the path probability and the sojourn time distributions between the states. The methodology proposed can be applied to analyse cure models which account for the competing risk of death. Asymptotic properties of the estimators proposed are derived. Simulation shows that the methods proposed have good finite sample performance. The methodology is applied to two data sets.
No References
No Citations
No Supplementary Data
No Article Media
No Metrics

Keywords: Competing risks; Cure models; Dependent censoring; Identifiability; Illness–death models; Long-term survivors; Multiple end points; Semicompeting risks; Susceptibility

Document Type: Research Article

Publication date: November 1, 2003

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more