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Bagging survival trees

Hothorn, T and Lausen, B and Benner, A and Radespiel-Tröger, M (2003) 'Bagging survival trees.' Statistics in Medicine, 23 (1). pp. 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.

Item Type: Article
Uncontrolled Keywords: bootstrap aggregation; censored data; prognostic factors; Brier score
Subjects: H Social Sciences > HA Statistics
Divisions: Faculty of Science and Health
Faculty of Science and Health > Mathematical Sciences, Department of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 29 May 2012 13:44
Last Modified: 06 Jan 2022 13:24
URI: http://repository.essex.ac.uk/id/eprint/2465

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