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:: Volume 23, Issue 2 (3-2019) ::
Andishe 2019, 23(2): 17-25 Back to browse issues page
Analysis of Censored Survival Data with Dimension Reduction Methods‎: Tehran Lipid and Glucose Study
Azam Rastin , Mohmmadreza Faridrohani , Amirabbas Momenan , Fatemeh Eskandari , Davood Khalili *
Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran,
Abstract:   (3024 Views)

 ‎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.  

Keywords: Cardiovascular disease‎, ‎prediction models‎, ‎sufficient dimension reduction‎, ‎inverse regression‎.
Full-Text [PDF 259 kb]   (950 Downloads)    
Type of Study: Research | Subject: General
Received: 2018/03/9 | Accepted: 2019/02/28 | Published: 2019/04/25
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rastin A, faridrohani M, momenan A, eskandari F, khalili D. Analysis of Censored Survival Data with Dimension Reduction Methods‎: Tehran Lipid and Glucose Study. Andishe 2019; 23 (2) :17-25
URL: http://andisheyeamari.irstat.ir/article-1-514-en.html


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Volume 23, Issue 2 (3-2019) Back to browse issues page
مجله اندیشه آماری Andishe _ye Amari
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