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Regression analysis of masked competing risks data under cumulative incidence function framework

Yousif, Yosra and Elfaki, Faiz A. M. and Hrairi, Meftah (2020) Regression analysis of masked competing risks data under cumulative incidence function framework. Austrian Journal of Statistics, 49 (3 (Special Issue)). pp. 25-29. E-ISSN 1026-597X

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Abstract

In the studies that involve competing risks, somehow, masking issues might arise. That is, the cause of failure for some subjects is only known as a subset of possible causes. In this study, a Bayesian analysis is developed to assess the effect of risks factor on the Cumulative Incidence Function (CIF) by adopting the proportional subdistribution hazard model. Simulation is conducted to evaluate the performance of the proposed model and it shows that the model is feasible for the possible applications.

Item Type: Article (Journal)
Additional Information: 4980/80510
Uncontrolled Keywords: competing risks, masked causes of failure, subdistribution hazard, Bayesian analysis.
Subjects: Q Science > QA Mathematics > QA276 Mathematical Statistics
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering
Kulliyyah of Engineering > Department of Mechanical Engineering
Depositing User: Prof. Dr. Meftah Hrairi
Date Deposited: 29 May 2020 18:18
Last Modified: 01 Mar 2021 12:25
URI: http://irep.iium.edu.my/id/eprint/80510

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