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Cross-Validated Bagged Prediction of Survival

Author

Listed:
  • Sinisi Sandra E.

    (University of California, Berkeley)

  • Neugebauer Romain

    (Division of Biostatistics, School of Public Health, University of California, Berkeley)

  • van der Laan Mark J.

    (Division of Biostatistics, School of Public Health, University of California, Berkeley)

Abstract

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.

Suggested Citation

  • Sinisi Sandra E. & Neugebauer Romain & van der Laan Mark J., 2006. "Cross-Validated Bagged Prediction of Survival," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 5(1), pages 1-26, May.
    • Handle: RePEc:bpj:sagmbi:v:5:y:2006:i:1:n:12
    DOI: 10.2202/1544-6115.1180
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    References listed on IDEAS

    as
    1. Sinisi Sandra E & van der Laan Mark J., 2004. "Deletion/Substitution/Addition Algorithm in Learning with Applications in Genomics," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 3(1), pages 1-40, August.
    2. Molinaro, Annette M. & Dudoit, Sandrine & van der Laan, M.J.Mark J., 2004. "Tree-based multivariate regression and density estimation with right-censored data," Journal of Multivariate Analysis, Elsevier, vol. 90(1), pages 154-177, July.
    Full references (including those not matched with items on IDEAS)

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