Cross-Validated Bagged Prediction of Survival
Sinisi Sandra E.,
Neugebauer Romain and
J. van der Laan Mark
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Sinisi Sandra E.: University of California, Berkeley
Neugebauer Romain: Division of Biostatistics, School of Public Health, University of California, Berkeley
J. van der Laan Mark: Division of Biostatistics, School of Public Health, University of California, Berkeley
Statistical Applications in Genetics and Molecular Biology, 2006, vol. 5, issue 1, 1-26
In this article, we show how to apply our previously proposed Deletion/Substitution/Addition algorithm in the context of right-censoring for the prediction of survival. Furthermore, we introduce how to incorporate bagging into the algorithm to obtain a cross-validated bagged estimator. The method is used for predicting the survival time of patients with diffuse large B-cell lymphoma based on gene expression variables.
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