TY - JOUR T1 - Introduce a Survival Model with Spatial Skew Gaussian Random Effects and its Application in Covid-19 Data Analysis TT - معرفی یک مدل بقای فضایی با اثرات تصادفی چوله گاوسی و کاربرد آن در تحلیل داده‌های بیماری کووید-19 JF - JSS JO - JSS VL - 15 IS - 2 UR - http://jss.irstat.ir/article-1-756-en.html Y1 - 2022 SP - 567 EP - 590 KW - Spatial Survival Data KW - Spatial Survival Model KW - Skew Gaussian Random Field KW - Covid-19. N2 - The prevalence of Covid-19 is greatly affected by the location of the patients. From the beginning of the pandemic, many models have been used to analyze the survival time of Covid-19 patients. These models often use the Gaussian random field to include this effect in the survival model. But the assumption of Gaussian random effects is not realistic. In this paper, by considering a spatial skew Gaussian random field for random effects and a new spatial survival model is introduced. Then, in a simulation study, the performance of the proposed model is evaluated. Finally, the application of the model to analyze the survival time data of Covid-19 patients in Tehran is presented. M3 10.52547/jss.15.2.567 ER -