Decision Tree for Competing Risks Survival Probability in Breast Cancer Study

Ibrahim, Noor Akma and Abdul Kudus, Aminuddin and Daud, Isa and Abu Bakar, Mohd Rizam (2008) Decision Tree for Competing Risks Survival Probability in Breast Cancer Study. International Journal of Biological and Medical Sciences, 3 (1). pp. 25-29. ISSN 1307-7457

[img] PDF
350Kb

Official URL: http://www.akademik.unsri.ac.id/download/journal/files/waset/v3-1-2-2.pdf

Abstract

Competing risks survival data that comprises of more than one type of event has been used in many applications, and one of these is in clinical study (e.g. in breast cancer study). The decision tree method can be extended to competing risks survival data by modifying the split function so as to accommodate two or more risks which might be dependent on each other. Recently,researchers have constructed some decision trees for recurrent survival time data using frailty and marginal modelling. We further extended the method for the case of competing risks. In this paper,we developed the decision tree method for competing risks survival time data based on proportional hazards for subdistribution of competing risks. In particular, we grow a tree by using deviance statistic. The application of breast cancer data is presented. Finally, to investigate the performance of the proposed method, simulation studies on identification of true group of observations were executed.

Item Type:Article
Keyword:Competing risks, Decision tree, Simulation, Subdistribution Proportional Hazard
Faculty or Institute:Faculty of Science
ID Code:7052
Deposited By: Najwani Amir Sariffudin
Deposited On:03 Jun 2010 04:17
Last Modified:27 May 2013 07:33

Repository Staff Only: Edit item detail

Document Download Statistics

This item has been downloaded for since 03 Jun 2010 04:17.

View statistics for "Decision Tree for Competing Risks Survival Probability in Breast Cancer Study"


Universiti Putra Malaysia Institutional Repository

Universiti Putra Malaysia Institutional Repository is an on-line digital archive that serves as a central collection and storage of scientific information and research at the Universiti Putra Malaysia.

Currently, the collections deposited in the IR consists of Master and PhD theses, Master and PhD Project Report, Journal Articles, Journal Bulletins, Conference Papers, UPM News, Newspaper Cuttings, Patents and Inaugural Lectures.

As the policy of the university does not permit users to view thesis in full text, access is only given to the first 24 pages only.