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:: Volume 25, Issue 2 (3-2021) ::
Andishe 2021, 25(2): 103-112 Back to browse issues page
Spatial Varying Coefficient Regression Model For Relative Risk Factors of Esophageal Cancer Patients
Kimia Kazemi Miss., Mohsen Mohammadzadeh Prof. *
Department of Statistics, Tarbiat Modares University
Abstract:   (325 Views)
In conventional methods for spatial survival data modeling, it is often assumed that the coefficients of explanatory variables in different regions have a constant effect on survival time. Usually, the spatial correlation of data through a random effect is also included in the model. But in many practical issues, the factors affecting survival time do not have the same effects in different regions. In this paper, we consider the spatial effects of factors affecting survival time are not the same in the different areas.
For this purpose, spatial regression models and spatial varying coefficient models are introduced. Next, the Bayesian estimates of their parameters are presented. Three models of classical regression, spatial regression and spatial varying coefficient regression are used to analyze Esophageal cancer survival data. The relative risk of various factors is examined and evaluated.
Keywords: Spatial survival data, Spatial varying coefficient model, Spatial hazard model.
Full-Text [PDF 468 kb]   (104 Downloads)    
Type of Study: Research | Subject: Special
Received: 2021/01/29 | Accepted: 2021/03/17 | Published: 2021/03/18
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Kazemi K, Mohammadzadeh M. Spatial Varying Coefficient Regression Model For Relative Risk Factors of Esophageal Cancer Patients. Andishe. 2021; 25 (2) :103-112
URL: http://andisheyeamari.irstat.ir/article-1-840-en.html


Volume 25, Issue 2 (3-2021) Back to browse issues page
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