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Bagging survival trees

Hothorn, T and Lausen, B and Benner, A and Radespiel-Tröger, M (2004) 'Bagging survival trees.' Statistics in Medicine, 23 (1). 77 - 91. ISSN 0277-6715

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Abstract

Predicted survival probability functions of censored event free survival are improved by bagging survival trees. We suggest a new method to aggregate survival trees in order to obtain better predictions for breast cancer and lymphoma patients. A set of survival trees based on B bootstrap samples is computed. We define the aggregated Kaplan-Meier curve of a new observation by the Kaplan-Meier curve of all observations identified by the B leaves containing the new observation. The integrated Brier score is used for the evaluation of predictive models. We analyse data of a large trial on node positive breast cancer patients conducted by the German Breast Cancer Study Group and a smaller 'pilot' study on diffuse large B-cell lymphoma, where prognostic factors are derived from microarray expression values. In addition, simulation experiments underline the predictive power of our proposal. Copyright © 2004 John Wiley & Sons, Ltd.

Item Type: Article
Subjects: H Social Sciences > HA Statistics
Divisions: Faculty of Science and Health > Mathematical Sciences, Department of
Depositing User: Berthold Lausen
Date Deposited: 29 May 2012 13:44
Last Modified: 30 Jan 2019 16:21
URI: http://repository.essex.ac.uk/id/eprint/2465

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