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False selection rate methods in the ...

Chen, Yun.

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False selection rate methods in the Cox proportional hazards model.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	False selection rate methods in the Cox proportional hazards model./
Author:	Chen, Yun.
Description:	102 p.
Notes:	Advisers: Dennis D. Boos; Leonard A. Stefanski.
Contained By:	Dissertation Abstracts International67-09B.
Subject:	Statistics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3233025
ISBN:	9780542856655

False selection rate methods in the Cox proportional hazards model.
Chen, Yun.

False selection rate methods in the Cox proportional hazards model. - 102 p.

Advisers: Dennis D. Boos; Leonard A. Stefanski.

Thesis (Ph.D.)--North Carolina State University, 2006.

Variable selection methods are useful for distinguishing informative variables from uninformative variables. Many variable selection methods have been studied in linear regression models. Some methods have been extended to the Cox proportional hazards model based on the partial likelihood function. The False Selection Rate (FSR) variable selection method introduced by Wu, Boos and Stefanski (2006) is a new method applied to forward selection that controls the false selection rate of uninformative variables in the model by adding a number of phony variables to the original variables and calculating the proportions of the phony variables selected. In this work, we adapt the False Selection Rate procedure with the forward selection method (Forward-FSR) to the Cox proportional hazards model. In addition, we propose a new approach to estimate the tuning parameters in the penalty functions of the LASSO and the SCAD methods based on the False Selection Rate variable selection criterion. Under the Cox proportional hazards model, the three FSR methods, Forward-FSR, LASSO-FSR, and SCAD-FSR, are compared to forward selection with information criteria, to the LASSO and to the SCAD methods in simulation studies.

ISBN: 9780542856655Subjects--Topical Terms:

517247
Statistics.

False selection rate methods in the Cox proportional hazards model.
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020 $a 9780542856655
035 $a (UMI)AAI3233025
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040 $a UMI $c UMI
100 1 $a Chen, Yun. $3 1281033
245 1 0 $a False selection rate methods in the Cox proportional hazards model.
300 $a 102 p.
500 $a Advisers: Dennis D. Boos; Leonard A. Stefanski.
500 $a Source: Dissertation Abstracts International, Volume: 67-09, Section: B, page: 5167.
502 $a Thesis (Ph.D.)--North Carolina State University, 2006.
520 $a Variable selection methods are useful for distinguishing informative variables from uninformative variables. Many variable selection methods have been studied in linear regression models. Some methods have been extended to the Cox proportional hazards model based on the partial likelihood function. The False Selection Rate (FSR) variable selection method introduced by Wu, Boos and Stefanski (2006) is a new method applied to forward selection that controls the false selection rate of uninformative variables in the model by adding a number of phony variables to the original variables and calculating the proportions of the phony variables selected. In this work, we adapt the False Selection Rate procedure with the forward selection method (Forward-FSR) to the Cox proportional hazards model. In addition, we propose a new approach to estimate the tuning parameters in the penalty functions of the LASSO and the SCAD methods based on the False Selection Rate variable selection criterion. Under the Cox proportional hazards model, the three FSR methods, Forward-FSR, LASSO-FSR, and SCAD-FSR, are compared to forward selection with information criteria, to the LASSO and to the SCAD methods in simulation studies.
590 $a School code: 0155.
650 4 $a Statistics. $3 517247
690 $a 0463
710 2 $a North Carolina State University. $3 1018772
773 0 $t Dissertation Abstracts International $g 67-09B.
790 $a 0155
790 1 0 $a Boos, Dennis D., $e advisor
790 1 0 $a Stefanski, Leonard A., $e advisor
791 $a Ph.D.
792 $a 2006
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3233025