Risk Factors of Graft Survival After Diagnosis of Post-kidney Transplant Malignancy: Using Cox Proportional Hazard Model
نویسندگان
چکیده
منابع مشابه
risk factors of graft survival after diagnosis of post-kidney transplant malignancy: using cox proportional hazard model
conclusions by controlling the modifiable risk factors and modality of treatment in our study, physicians can reach more effective treatment. results at the end of the study, long-term graft failure was seen in 27 (10.2%) cases. one-year and 2-year graft survival after diagnosis of cancer were 93.6% and 91.7%, respectively. the univariate analysis showed that the incidence of chronic graft loss...
متن کاملRisk Factors of Graft Survival After Diagnosis of Post-kidney Transplant Malignancy: Using Cox Proportional Hazard Model
BACKGROUND All recipients of kidney transplantation, especially those with posttransplant malignancy, are at risk of long-term graft failure. OBJECTIVES The purpose of our study was to evaluate the risk factors associated with graft survival after diagnosis of malignancy. PATIENTS AND METHODS To reach this purpose, we conducted a historical cohort study in Iran and 266 cases with posttransp...
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In this paper, the Cox proportional hazard model is used to answer several questions. In general, fourteen variables are applied in four groups: firm, industry, expenditure human resources specific characteristics as well. According to the previous literature in this field, the findings of this paper also show that the factors which affect life duration of firms are different between industries...
متن کاملComparison of Artificial Neural Networks and Cox Regression Models in Prediction of Kidney Transplant Survival
Cox regression model serves as a statistical method for analyzing the survival data, which requires some options such as hazard proportionality. In recent decades, artificial neural network model has been increasingly applied to predict survival data. This research was conducted to compare Cox regression and artificial neural network models in prediction of kidney transplant survival. The prese...
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ژورنال
عنوان ژورنال: Iranian Red Crescent Medical Journal
سال: 2015
ISSN: 2074-1804,2074-1812
DOI: 10.5812/ircmj.20281