Accurate Computation of Survival Statistics in Genome-Wide Studies

@article{Vandin2015AccurateCO,
  title={Accurate Computation of Survival Statistics in Genome-Wide Studies},
  author={Fabio Vandin and Alexandra Papoutsaki and Benjamin J. Raphael and Eli Upfal},
  journal={PLoS Computational Biology},
  year={2015},
  volume={11}
}
  • Fabio Vandin, Alexandra Papoutsaki, +1 author Eli Upfal
  • Published 2015
  • Biology, Mathematics, Medicine, Computer Science
  • PLoS Computational Biology
  • A key challenge in genomics is to identify genetic variants that distinguish patients with different survival time following diagnosis or treatment. While the log-rank test is widely used for this purpose, nearly all implementations of the log-rank test rely on an asymptotic approximation that is not appropriate in many genomics applications. This is because: the two populations determined by a genetic variant may have very different sizes; and the evaluation of many possible variants demands… CONTINUE READING

    Citations

    Publications citing this paper.
    SHOWING 1-10 OF 20 CITATIONS

    Inherited Disease Genetics Improves the Identification of Cancer-Associated Genes

    VIEW 5 EXCERPTS
    CITES METHODS
    HIGHLY INFLUENCED

    Computational Methods for Characterizing Cancer Mutational Heterogeneity

    VIEW 1 EXCERPT
    CITES BACKGROUND

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 65 REFERENCES

    Genome-wide analysis of survival in early-stage non-small-cell lung cancer.

    VIEW 3 EXCERPTS

    Survival analysis with high-dimensional covariates

    VIEW 2 EXCERPTS