Proportional Cause-Specific Hazards Model for Recurrent Events 

By : P. G. Sankaran, Sisuma M.S.

Page No: 30-52

Abstract
The present paper discusses the modelling and analysis of recurrent event data with competing risks in the presence of covariates. We propose an extension of the proportional cause-specific hazards model based on averaged counting process and averaged at-risk set process of recurrent events. The regression parameters are estimated using a partial likelihood approach. Asymptotic properties of the proposed estimators are established. Simulation procedures are carried out to assess the finite sample properties of the proposed estimators. The proposed method is applied to reallife data.

Authors :
P. G. Sankaran
Department of Statistics, Cochin University of Science and Technology Kerala

Sisuma M.S.
Department of Statistics, Cochin University of Science and Technology Kerala
 

DOI: DOI-https://doi.org/10.32381/IAPQRT.2022.46.01-02.3