A boosting first-hitting-time model for survival analysis in high-dimensional settings

HIGHLIGHTS

  • who: Riccardo De Bin from the Department of Mathematics, University of Oslo, Moltke Moes vei, Oslo, Norway have published the paper: A boosting first-hitting-time model for survival analysis in high-dimensional settings, in the Journal: (JOURNAL)
  • what: The authors propose a boosting algorithm extend the applicability of a first hitting model high-dimensional frameworks. Both due to the ease of presentation and the empirically better results obtained in the examples, here the authors focus on the former version, referring to the Supplementary Information for the description and the results obtained with the latter . . .

     

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