DOAJ Open Access 2020

Regression Analysis of Masked Competing Risks Data under Cumulative Incidence Function Framework

Yosra Yousif Faiz Ahmed Mohamed Elfaki Meftah Hrairi

Abstrak

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.

Topik & Kata Kunci

Probabilities. Mathematical statistics Statistics

Penulis (3)

Yosra Yousif

Faiz Ahmed Mohamed Elfaki

Meftah Hrairi

Format Sitasi

APA MLA BibTeX

Yousif, Y., Elfaki, F.A.M., Hrairi, M. (2020). Regression Analysis of Masked Competing Risks Data under Cumulative Incidence Function Framework. https://doi.org/10.17713/ajs.v49i3.1026

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Informasi Jurnal

Tahun Terbit: 2020
Sumber Database: DOAJ
DOI: 10.17713/ajs.v49i3.1026
Akses: Open Access ✓