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Survival model and estimation for lu...

Yuan, Xingchen.

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Survival model and estimation for lung cancer patients.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Survival model and estimation for lung cancer patients./
Author:	Yuan, Xingchen.
Description:	51 p.
Notes:	Source: Masters Abstracts International, Volume: 43-05, page: 1738.
Contained By:	Masters Abstracts International43-05.
Subject:	Mathematics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1425699
ISBN:	9780496998364

Survival model and estimation for lung cancer patients.
Yuan, Xingchen.

Survival model and estimation for lung cancer patients. - 51 p.

Source: Masters Abstracts International, Volume: 43-05, page: 1738.

Thesis (M.S.)--East Tennessee State University, 2005.

Lung cancer is the most frequent fatal cancer in the United States. Following the notion in actuarial math analysis, we assume an exponential form for the baseline hazard function and combine Cox proportional hazard regression for the survival study of a group of lung cancer patients. The covariates in the hazard function are estimated by maximum likelihood estimation following the proportional hazards regression analysis. Although the proportional hazards model does not give an explicit baseline hazard function, the baseline hazard function can be estimated by fitting the data with a nonlinear least square technique. The survival model is then examined by a neural network simulation. The neural network learns the survival pattern from available hospital data and gives survival prediction for random covariate combinations. The simulation results support the covariate estimation in the survival model.

ISBN: 9780496998364Subjects--Topical Terms:

515831
Mathematics.

Survival model and estimation for lung cancer patients.
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035 $a (UnM)AAI1425699
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100 1 $a Yuan, Xingchen. $3 1914917
245 1 0 $a Survival model and estimation for lung cancer patients.
300 $a 51 p.
500 $a Source: Masters Abstracts International, Volume: 43-05, page: 1738.
500 $a Chair: Don Hong.
502 $a Thesis (M.S.)--East Tennessee State University, 2005.
520 $a Lung cancer is the most frequent fatal cancer in the United States. Following the notion in actuarial math analysis, we assume an exponential form for the baseline hazard function and combine Cox proportional hazard regression for the survival study of a group of lung cancer patients. The covariates in the hazard function are estimated by maximum likelihood estimation following the proportional hazards regression analysis. Although the proportional hazards model does not give an explicit baseline hazard function, the baseline hazard function can be estimated by fitting the data with a nonlinear least square technique. The survival model is then examined by a neural network simulation. The neural network learns the survival pattern from available hospital data and gives survival prediction for random covariate combinations. The simulation results support the covariate estimation in the survival model.
590 $a School code: 0069.
650 4 $a Mathematics. $3 515831
650 4 $a Biology, Biostatistics. $3 1018416
650 4 $a Health Sciences, Oncology. $3 1018566
690 $a 0405
690 $a 0308
690 $a 0992
710 2 0 $a East Tennessee State University. $3 1017802
773 0 $t Masters Abstracts International $g 43-05.
790 1 0 $a Hong, Don, $e advisor
790 $a 0069
791 $a M.S.
792 $a 2005
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1425699