Nonparametric Estimation of Cumulative Incidence Functions of Recurrent Events

Abstract

The present paper discusses modeling and analysis of recurrent event data with competing risks. We propose non parametric estimation of cumulative incidence functions of recurrent event competing risks model. Asymptotic properties of the proposed estimators are established. Simulation procedures are carried out to asses the finite sample properties of the proposed estimators. The proposed method is applied to a real-life data.

Keywords

• recurrent event
• competing risks
• cause specific hazard function
• cumulative incidence function
• empirical process