Penalised Cox regression models for survival data
by Duo Zhou; Dinesh P. Mital; Shankar Srinivasan; Masayuki Shibata
International Journal of Medical Engineering and Informatics (IJMEI), Vol. 9, No. 1, 2017

Abstract: In recent years, the advances in genetic technology have enabled the collection of large amount of genetic information; as a result, analysis tools for microarray data have been in high demand. Among all types of data, survival outcome is particularly of more interest to study. Such data has become very typical in biomedical research or genetic lab. However, typical statistical models do not work for such scenarios; in this paper, several Cox model-based penalised regression approaches will be evaluated.

Online publication date: Mon, 12-Dec-2016

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Medical Engineering and Informatics (IJMEI):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com