@article{Liero1996,
  author    = {Liero, Hannelore},
  title     = {Nonparametric versus parametric goodness of fit},
  year      = {1996},
  language  = {en}
}
@article{LieroLaeuterKonakov1998,
  author    = {Liero, Hannelore and L{\"a}uter, Henning and Konakov, V. D.},
  title     = {Nonparametric versus parametric goodness of fit},
  issn      = {0323-3944},
  year      = {1998},
  language  = {en}
}
@article{WichitsaNguanLaeuterLiero2016,
  author    = {Wichitsa-Nguan, Korakot and L{\"a}uter, Henning and Liero, Hannelore},
  title     = {Estimability in Cox models},
  series = {Statistical Papers},
  volume    = {57},
  journal   = {Statistical Papers},
  publisher = {Springer},
  address   = {New York},
  issn      = {0932-5026},
  doi       = {10.1007/s00362-016-0755-x},
  pages     = {1121 -- 1140},
  year      = {2016},
  abstract  = {Our procedure of estimating is the maximum partial likelihood estimate (MPLE) which is the appropriate estimate in the Cox model with a general censoring distribution, covariates and an unknown baseline hazard rate . We find conditions for estimability and asymptotic estimability. The asymptotic variance matrix of the MPLE is represented and properties are discussed.},
  language  = {en}
}
@article{MuehlenbruchKuxhausPencinaetal.2015,
  author    = {M{\"u}hlenbruch, Kristin and Kuxhaus, Olga and Pencina, Michael J. and Boeing, Heiner and Liero, Hannelore and Schulze, Matthias Bernd},
  title     = {A confidence ellipse for the Net Reclassification Improvement},
  series = {European journal of epidemiology},
  volume    = {30},
  journal   = {European journal of epidemiology},
  number    = {4},
  publisher = {Springer},
  address   = {Dordrecht},
  issn      = {0393-2990},
  doi       = {10.1007/s10654-015-0001-1},
  pages     = {299 -- 304},
  year      = {2015},
  abstract  = {The Net Reclassification Improvement (NRI) has become a popular metric for evaluating improvement in disease prediction models through the past years. The concept is relatively straightforward but usage and interpretation has been different across studies. While no thresholds exist for evaluating the degree of improvement, many studies have relied solely on the significance of the NRI estimate. However, recent studies recommend that statistical testing with the NRI should be avoided. We propose using confidence ellipses around the estimated values of event and non-event NRIs which might provide the best measure of variability around the point estimates. Our developments are illustrated using practical examples from EPIC-Potsdam study.},
  language  = {en}
}