Forschungsbericht für das Jahr 2011

Wissenschaftliche Publikationen

Originalarbeiten in wissenschaftlichen Fachzeitschriften:
  • Allignol A, Schumacher M, Beyersmann J: Estimating summary functionals in multistate models with an application to hospital infection data. Computation Stat, 2011; 26: 181-197. : http://dx.doi.org/10.1007/s00180-010-0200-x
  • Allignol A, Schumacher M, Wanner C, Drechsler C, Beyersmann J: Understanding competing risks: a simulation point of view. Bmc Med Res Methodol, 2011; 11 (online): 86. (download: http://dx.doi.org/10.1186/1471-2288-11-86)
  • Barnett AG, Beyersmann J, Allignol A, Rosenthal VD, Graves N, Wolkewitz M: The time-dependent bias and its effect on extra length of stay due to nosocomial infection. Value Health, 2011; 14: 381-386. : http://dx.doi.org/10.1016/j.jval.2010.09.008
  • Beyersmann J, Wolkewitz M, Allignol A, Grambauer N, Schumacher M: Application of multistate models in hospital epidemiology: Advances and challenges. Biometrical J, 2011; 53: 332-350. : http://dx.doi.org/10.1002/bimj.201000146
  • De Angelis G, Allignol A, Murthy A, Wolkewitz M, Beyersmann J, Safran E, Schrenzel J, Pittet D, Harbarth S: Multistate modelling to estimate the excess length of stay associated with meticillin-resistant Staphylococcus aureus colonisation and infection in surgical patients. J Hosp Infect, 2011; 78: 86-91. : http://dx.doi.org/10.1016/j.jhin.2011.02.003
  • Graves N, Barnett AG, Halton K, Crnich C, Cooper B, Beyersmann J, Wolkewitz M, Samore M, Harbarth S: The Importance of Good Data, Analysis, and Interpretation for Showing the Economics of Reducing Healthcare-Associated Infection. Infection Control and Hospital Epidemiology, 2011; 32: 927-928. : http://dx.doi.org/10.1086/661600 (download: http://www.jstor.org/stable/10.1086/661600)
  • Schoop R, Beyersmann J, Schumacher M, Binder H: Quantifying the predictive accuracy of time-to-event models in the presence of competing risks. Biometrical J, 2011; 53: 88-112. : http://dx.doi.org/10.1002/bimj.201000073