Analysis of Censored Survival Data with Dimension Reduction Methods: Tehran Lipid and Glucose Study
نویسندگان
چکیده مقاله:
Cardiovascular diseases (CVDs) are the leading cause of death worldwide. To specify an appropriate model to determine the risk of CVD and predict survival rate, users are required to specify a functional form which relates the outcome variables to the input ones. In this paper, we proposed a dimension reduction method using a general model, which includes many widely used survival models as special cases. Using an appropriate combination of dimension reduction and Cox Proportional Hazards model, we found a method which is effective for survival prediction.
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عنوان ژورنال
دوره 23 شماره 2
صفحات 17- 25
تاریخ انتشار 2019-03
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