Statistical analysis and application of competing risks model with regression

  • Petr Volf Institute of Information Theory and Automation, AS CR

Abstract

The paper deals with the methods of statistical analysis of dependent com-
peting risks in the presence of covariates influencing competing random variables. The
problem of identification of marginal and joint distributions of competing random variables
is recalled and certain identifiability results achieved in the framework of regression mod-
els are presented. The main objective is then to study the case when the correlation of
competing variables depends on covariates, as this phenomenon has not been taken into
account in the most of papers dealing with the identifiability of competing risks models
with regression. Such a dependence is demonstrated and estimated on a real example with
unemployment data.

Published
2019-07-04
Section
CRORR Journal Regular Issue