Get access

Application of multistate models in hospital epidemiology: Advances and challenges

Authors

  • Jan Beyersmann,

    Corresponding author
    1. Freiburg Centre for Data Analysis and Modelling, University of Freiburg, Eckerstraße 1, Freiburg, Germany
    2. Institute of Medical Biometry and Medical Informatics, University Medical Center Freiburg, Stefan-Meier-Straße 26, Freiburg, Germany
    • Phone: +49-761-203-7702, Fax: +49-761-203-7700
    Search for more papers by this author
  • Martin Wolkewitz,

    1. Freiburg Centre for Data Analysis and Modelling, University of Freiburg, Eckerstraße 1, Freiburg, Germany
    2. Institute of Medical Biometry and Medical Informatics, University Medical Center Freiburg, Stefan-Meier-Straße 26, Freiburg, Germany
    Search for more papers by this author
  • Arthur Allignol,

    1. Freiburg Centre for Data Analysis and Modelling, University of Freiburg, Eckerstraße 1, Freiburg, Germany
    2. Institute of Medical Biometry and Medical Informatics, University Medical Center Freiburg, Stefan-Meier-Straße 26, Freiburg, Germany
    Search for more papers by this author
  • Nadine Grambauer,

    1. Freiburg Centre for Data Analysis and Modelling, University of Freiburg, Eckerstraße 1, Freiburg, Germany
    2. Institute of Medical Biometry and Medical Informatics, University Medical Center Freiburg, Stefan-Meier-Straße 26, Freiburg, Germany
    Search for more papers by this author
  • Martin Schumacher

    1. Institute of Medical Biometry and Medical Informatics, University Medical Center Freiburg, Stefan-Meier-Straße 26, Freiburg, Germany
    Search for more papers by this author

Abstract

Survival analysis has established itself as a major statistical technique in medical research. Applications in hospital epidemiology, however, are only beginning to emerge. One reason for this delay is that usually complete follow-up of patients in hospital is feasible. This overview discusses where survival techniques provide additional insight into hospital epidemiology, and where they are, in fact, needed even in the absence of right-censoring.

Ancillary