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@ARTICLE{Edelmann:168370,
      author       = {D. Edelmann$^*$ and T. Welchowski and A. Benner$^*$},
      title        = {{A} consistent version of distance covariance for
                      right-censored survival data and its application in
                      hypothesis testing.},
      journal      = {Biometrics},
      volume       = {78},
      number       = {3},
      issn         = {1541-0420},
      address      = {Malden, Mass. [u.a.]},
      publisher    = {Wiley-Blackwell},
      reportid     = {DKFZ-2021-00859},
      pages        = {867-879},
      year         = {2022},
      note         = {#EA:C060#LA:C060# / 2022 Sep;78(3):867-879},
      abstract     = {Distance covariance is a powerful new dependence measure
                      that was recently introduced by Székely et al. (2007) and
                      Székely and Rizzo (2009). In this work, the concept of
                      distance covariance is extended to measuring dependence
                      between a covariate vector and a right-censored survival
                      endpoint by establishing an estimator based on an
                      inverse-probability-of-censoring weighted U-statistic. The
                      consistency of the novel estimator is derived. In a large
                      simulation study, it is shown that induced distance
                      covariance permutation tests show a good performance in
                      detecting various complex associations. Applying the
                      distance covariance permutation tests on a gene expression
                      dataset from breast cancer patients outlines its potential
                      for biostatistical practice. This article is protected by
                      copyright. All rights reserved.},
      keywords     = {distance correlation (Other) / distance covariance (Other)
                      / hypothesis testing (Other) / nonlinear (Other) / survival
                      analysis (Other)},
      cin          = {C060},
      ddc          = {310},
      cid          = {I:(DE-He78)C060-20160331},
      pnm          = {313 - Krebsrisikofaktoren und Prävention (POF4-313)},
      pid          = {G:(DE-HGF)POF4-313},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:33847373},
      doi          = {10.1111/biom.13470},
      url          = {https://inrepo02.dkfz.de/record/168370},
}