• Mathematics, Medicine
  • Published in Statistics in medicine 2013
  • DOI:10.1002/sim.5673

A K-nearest neighbors survival probability prediction method.

@article{Lowsky2013AKN,
  title={A K-nearest neighbors survival probability prediction method.},
  author={David J. Lowsky and Ying Ding and Duk Kee Lee and Charles E Mcculloch and Larry F. Ross and J. Richard Thistlethwaite and Stefanos A. Zenios},
  journal={Statistics in medicine},
  year={2013},
  volume={32 12},
  pages={
          2062-9
        }
}
We introduce a nonparametric survival prediction method for right-censored data. The method generates a survival curve prediction by constructing a (weighted) Kaplan-Meier estimator using the outcomes of the K most similar training observations. Each observation has an associated set of covariates, and a metric on the covariate space is used to measure similarity between observations. We apply our method to a kidney transplantation data set to generate patient-specific distributions of graft… CONTINUE READING

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