Decision Tree for Competing Risks Survival Probability in Breast Cancer Study

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 acc...

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Main Authors: Ibrahim, Noor Akma, Abdul Kudus, Aminuddin, Daud, Isa, Abu Bakar, Mohd Rizam
Format: Article
Language:English
English
Published: 2008
Online Access:http://psasir.upm.edu.my/id/eprint/7052/
http://psasir.upm.edu.my/id/eprint/7052/1/124.pdf
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author Ibrahim, Noor Akma
Abdul Kudus, Aminuddin
Daud, Isa
Abu Bakar, Mohd Rizam
author_facet Ibrahim, Noor Akma
Abdul Kudus, Aminuddin
Daud, Isa
Abu Bakar, Mohd Rizam
author_sort Ibrahim, Noor Akma
building UPM Institutional Repository
collection Online Access
description 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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institution Universiti Putra Malaysia
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English
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spelling upm-70522013-05-27T07:33:12Z http://psasir.upm.edu.my/id/eprint/7052/ Decision Tree for Competing Risks Survival Probability in Breast Cancer Study Ibrahim, Noor Akma Abdul Kudus, Aminuddin Daud, Isa Abu Bakar, Mohd Rizam 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. 2008 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/7052/1/124.pdf 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 http://www.akademik.unsri.ac.id/download/journal/files/waset/v3-1-2-2.pdf English
spellingShingle Ibrahim, Noor Akma
Abdul Kudus, Aminuddin
Daud, Isa
Abu Bakar, Mohd Rizam
Decision Tree for Competing Risks Survival Probability in Breast Cancer Study
title Decision Tree for Competing Risks Survival Probability in Breast Cancer Study
title_full Decision Tree for Competing Risks Survival Probability in Breast Cancer Study
title_fullStr Decision Tree for Competing Risks Survival Probability in Breast Cancer Study
title_full_unstemmed Decision Tree for Competing Risks Survival Probability in Breast Cancer Study
title_short Decision Tree for Competing Risks Survival Probability in Breast Cancer Study
title_sort decision tree for competing risks survival probability in breast cancer study
url http://psasir.upm.edu.my/id/eprint/7052/
http://psasir.upm.edu.my/id/eprint/7052/
http://psasir.upm.edu.my/id/eprint/7052/1/124.pdf