@article{Dikta2008,
  author    = {Dikta, Gerhard},
  title     = {The Bootstrap in Binary Model Diagnostics},
  series = {Frontiers of applied and computational mathematics : New Jersey Institute of Technology, USA, 19 - 21 May 2008 ; [dedicated to Daljit Singh Ahluwalia on his 75th birthday ; Fifth Annual Frontiers in Applied and Computational Mathematics Conference (FACM '08) ; selection of papers] / ed. by Denis Blackmore},
  journal   = {Frontiers of applied and computational mathematics : New Jersey Institute of Technology, USA, 19 - 21 May 2008 ; [dedicated to Daljit Singh Ahluwalia on his 75th birthday ; Fifth Annual Frontiers in Applied and Computational Mathematics Conference (FACM '08) ; selection of papers] / ed. by Denis Blackmore},
  publisher = {World Scientific},
  address   = {Hackensack, NJ [u.a.]},
  isbn      = {978-981-283-528-4},
  pages     = {119 -- 126},
  year      = {2008},
  language  = {en}
}
@article{Dikta2014,
  author    = {Dikta, Gerhard},
  title     = {Asymptotically efficient estimation under semi-parametric random censorship models},
  series = {Journal of multivariate analysis},
  volume    = {124},
  journal   = {Journal of multivariate analysis},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {1095-7243 (E-Journal); 0047-259X (Print)},
  doi       = {10.1016/j.jmva.2013.10.002},
  pages     = {10 -- 24},
  year      = {2014},
  abstract  = {We study the estimation of some linear functionals which are based on an unknown lifetime distribution. The observations are assumed to be generated under the semi-parametric random censorship model (SRCM), that is, a random censorship model where the conditional expectation of the censoring indicator given the observation belongs to a parametric family. Under this setup a semi-parametric estimator of the survival function was introduced by the author. If the parametric model assumption is correct, it is known that the estimated functional which is based on this semi-parametric estimator is asymptotically at least as efficient as the corresponding one which rests on the nonparametric Kaplan-Meier estimator. In this paper we show that the estimated functional which is based on this semi-parametric estimator is asymptotically efficient with respect to the class of all regular estimators under this semi-parametric model.},
  language  = {en}
}
@article{Dikta2017,
  author    = {Dikta, Gerhard},
  title     = {Semi-parametric random censorship models},
  series = {From Statistics to Mathematical Finance : Festschrift in Honour of Winfried Stute},
  journal   = {From Statistics to Mathematical Finance : Festschrift in Honour of Winfried Stute},
  publisher = {Springer},
  address   = {Berlin},
  isbn      = {978-3-319-50986-0},
  doi       = {10.1007/978-3-319-50986-0_3},
  pages     = {43 -- 56},
  year      = {2017},
  language  = {en}
}
@article{AtlasBrealeyDharetal.2012,
  author    = {Atlas, Glen and Brealey, David and Dhar, Sunil and Dikta, Gerhard and Singer, Meryvn},
  title     = {Additional hemodynamic measurements with an esophageal Doppler monitor: a preliminary report of compliance, force, kinetic energy, and afterload in the clinical setting},
  series = {Journal of clinical monitoring and computing},
  journal   = {Journal of clinical monitoring and computing},
  number    = {26},
  publisher = {Springer Nature},
  address   = {London},
  isbn      = {1573-2614},
  doi       = {10.1007/s10877-012-9386-5},
  pages     = {473 -- 482},
  year      = {2012},
  abstract  = {The esophageal Doppler monitor (EDM) is a minimally-invasive hemodynamic device which evaluates both cardiac output (CO), and fluid status, by estimating stroke volume (SV) and calculating heart rate (HR). The measurement of these parameters is based upon a continuous and accurate approximation of distal thoracic aortic blood flow. Furthermore, the peak velocity (PV) and mean acceleration (MA), of aortic blood flow at this anatomic location, are also determined by the EDM. The purpose of this preliminary report is to examine additional clinical hemodynamic calculations of: compliance (C), kinetic energy (KE), force (F), and afterload (TSVRi). These data were derived using both velocity-based measurements, provided by the EDM, as well as other contemporaneous physiologic parameters. Data were obtained from anesthetized patients undergoing surgery or who were in a critical care unit. A graphical inspection of these measurements is presented and discussed with respect to each patient's clinical situation. When normalized to each of their initial values, F and KE both consistently demonstrated more discriminative power than either PV or MA. The EDM offers additional applications for hemodynamic monitoring. Further research regarding the accuracy, utility, and limitations of these parameters is therefore indicated.},
  language  = {en}
}
@article{ArtmannDigelZerlinetal.2009,
  author    = {Artmann, Gerhard and Digel, Ilya and Zerlin, Kay and Maggakis-Kelemen, Christina and Linder, Peter and Porst, Dariusz and Kayser, Peter and Stadler, David and Dikta, Gerhard and Temiz Artmann, Ayseg{\"u}l},
  title     = {Hemoglobin senses body temperature},
  series = {European Biophysics Journal},
  volume    = {38},
  journal   = {European Biophysics Journal},
  number    = {5},
  isbn      = {0175-7571},
  pages     = {589 -- 600},
  year      = {2009},
  language  = {en}
}