Repository of Research and Investigative Information

Repository of Research and Investigative Information

دانشگاه علوم پزشکی و خدمات بهداشتی درمانی زنجان

Competing risks model for clustered data based on the subdistribution hazards with spatial random effects

(2021) Competing risks model for clustered data based on the subdistribution hazards with spatial random effects. Journal of Applied Statistics. ISSN 02664763

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Official URL: https://www.tandfonline.com/doi/abs/10.1080/026647...

Abstract

In some applications, the clustered survival data are arranged spatially such as clinical centers or geographical regions. Incorporating spatial variation in these data not only can improve the accuracy and efficiency of the parameter estimation, but it also investigates the spatial patterns of survivorship for identifying high-risk areas. Competing risks in survival data concern a situation where there is more than one cause of failure, but only the occurrence of the first one is observable. In this paper, we considered Bayesian subdistribution hazard regression models with spatial random effects for the clustered HIV/AIDS data. An intrinsic conditional autoregressive (ICAR) distribution was employed to model the areal spatial random effects. Comparison among competing models was performed by the deviance information criterion. We illustrated the gains of our model through application to the HIV/AIDS data and the simulation studies. © 2021 Informa UK Limited, trading as Taylor & Francis Group.

Item Type: Article
Keywords: Competing risks; cumulative incidence function; Markov chain Monte Carlo; spatial random effect; subdistribution hazard
Subjects: WA Public Health > WA 900-950 Statistics. Surveys
Journal or Publication Title: Journal of Applied Statistics
Abstract and Indexing: ISI, Scopus
Quartile : Q2
Publisher: Taylor and Francis Ltd.
Identification Number: https://doi.org/10.1080/02664763.2021.1884208
ISSN: 02664763
Depositing User: خانم فائزه مظفری
URI: http://repository.zums.ac.ir/id/eprint/8000

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