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Decision Tree for Competing Risks Survival Probability in Breast Cancer Study


Citation

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

Abstract / Synopsis

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.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Science
Keywords: Competing risks, Decision tree, Simulation, Subdistribution Proportional Hazard
Depositing User: Najwani Amir Sariffudin
Date Deposited: 03 Jun 2010 12:17
Last Modified: 27 May 2013 15:33
URI: http://psasir.upm.edu.my/id/eprint/7052
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