Jan Beyersmann

Best Publications

• A competing risks analysis should report results on all cause-specific hazards and cumulative incidence functions.

  Aurelien Latouche;Aurelien Latouche;Arthur Allignol;Jan Beyersmann;Myriam Labopin

  541
  Citations

• Competing Risks and Multistate Models with R

  Jan Beyersmann;Arthur Allignol;Martin Schumacher

  437
  Citations

• Simulating competing risks data in survival analysis.

  Jan Beyersmann;Jan Beyersmann;Aurélien Latouche;Anika Buchholz;Anika Buchholz;Martin Schumacher

  267
  Citations

• The health and economic burden of bloodstream infections caused by antimicrobial-susceptible and non-susceptible Enterobacteriaceae and Staphylococcus aureus in European hospitals, 2010 and 2011: A multicentre retrospective cohort study

  Andréw James Stewardson;Arthur Allignol;Jan Beyersmann;Nicholas Graves

  232
  Citations

• Empirical Transition Matrix of Multi-State Models: The etm Package

  Arthur Allignol;Martin Schumacher;Jan Beyersmann

  217
  Citations

• Use of multistate models to assess prolongation of intensive care unit stay due to nosocomial infection.

  J Beyersmann;P Gastmeier;H Grundmann;S Bärwolff

  204
  Citations

• An easy mathematical proof showed that time-dependent bias inevitably leads to biased effect estimation

  Jan Beyersmann;Jan Beyersmann;Petra Gastmeier;Martin Wolkewitz;Martin Wolkewitz;Martin Schumacher

  179
  Citations

• Time-dependent covariates in the proportional subdistribution hazards model for competing risks

  Jan Beyersmann;Martin Schumacher

  162
  Citations

• Boosting for high-dimensional time-to-event data with competing risks

  Harald Binder;Arthur Allignol;Martin Schumacher;Jan Beyersmann

  162
  Citations

• Understanding competing risks: a simulation point of view

  Arthur Allignol;Arthur Allignol;Martin Schumacher;Christoph Wanner;Christiane Drechsler

  129
  Citations

• Time-dependent study entries and exposures in cohort studies can easily be sources of different and avoidable types of bias

  Martin Wolkewitz;Arthur Allignol;Stéphan Juergen Harbarth;Giulia de Angelis

  117
  Citations

• A competing risks analysis of bloodstream infection after stem-cell transplantation using subdistribution hazards and cause-specific hazards.

  Jan Beyersmann;Markus Dettenkofer;Hartmut Bertz;Martin Schumacher

  115
  Citations

• Hospital-acquired infections—appropriate statistical treatment is urgently needed!

  Martin Schumacher;Arthur Allignol;Jan Beyersmann;Nadine Binder

  109
  Citations

• The impact of time‐dependent bias in proportional hazards modelling

  Jan Beyersmann;Jan Beyersmann;Martin Wolkewitz;Martin Wolkewitz;Martin Schumacher

  107
  Citations

• Proportional subdistribution hazards modeling offers a summary analysis, even if misspecified

  Nadine Grambauer;Martin Schumacher;Jan Beyersmann;Jan Beyersmann

  96
  Citations

• Quantifying the predictive accuracy of time‐to‐event models in the presence of competing risks

  Rotraut Schoop;Rotraut Schoop;Jan Beyersmann;Jan Beyersmann;Martin Schumacher;Harald Binder;Harald Binder

  95
  Citations

• Statistical issues in the analysis of adverse events in time-to-event data

  Arthur Allignol;Jan Beyersmann;Claudia Schmoor

  90
  Citations

• Application of multistate models in hospital epidemiology: advances and challenges.

  Jan Beyersmann;Martin Wolkewitz;Martin Wolkewitz;Arthur Allignol;Arthur Allignol;Nadine Grambauer;Nadine Grambauer

  81
  Citations

• Modeling the effect of time-dependent exposure on intensive care unit mortality

  Martin Wolkewitz;Martin Wolkewitz;Jan Beyersmann;Jan Beyersmann;Petra Gastmeier;Martin Schumacher

  79
  Citations

• A note on variance estimation of the Aalen-Johansen estimator of the cumulative incidence function in competing risks, with a view towards left-truncated data.

  Arthur Allignol;Martin Schumacher;Jan Beyersmann;Jan Beyersmann

  71
  Citations