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Statistical Applications in Genetics and Molecular Biology

Editor-in-Chief: Stumpf, Michael P.H.

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Volume 5, Issue 1 (May 2006)

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Cross-Validated Bagged Prediction of Survival

Sandra E. Sinisi
  • University of California, Berkeley
/ Romain Neugebauer
  • Division of Biostatistics, School of Public Health, University of California, Berkeley
/ Mark J. van der Laan
  • Division of Biostatistics, School of Public Health, University of California, Berkeley
Published Online: 2006-05-01 | DOI: https://doi.org/10.2202/1544-6115.1180

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.

Keywords: bootstrap aggregating; censoring; cross-validation; diffuse large-B-cell lymphoma; D/S/A algorithm

About the article

Published Online: 2006-05-01



Citation Information: Statistical Applications in Genetics and Molecular Biology, ISSN (Online) 1544-6115, DOI: https://doi.org/10.2202/1544-6115.1180. Export Citation

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