PD Dr. Steffen Unkel

Senior Research Associate, Group Statistical Methods for Clinical Studies

telephone: +49 551 394956

fax: +49 551 3965605

e-mail address: steffen.unkel(at)med.uni-goettingen.de

Location: Humboldtallee 32, Etage 1, 132

ORCID iD:  orcid.org/0000-0002-2083-0090

[Translate to Englisch:] Porträt von PD Dr. Steffen Unkel, Institut für Medizinische Statistik

Short biography


Venia Legendi in Statistics - Medical Faculty, Georg-August-University Göttingen


Habilitation in Statistics - Faculty of Mathematics, Informatics and Statistics, Ludwig-Maximilians-University Munich

[since 07/2014]

Research Fellow, Department of Medical Statistics, University Medical Center, Georg August University Göttingen

[04/2013 - 02/2014]

Visting Associate Professor of Statistics, Department of Statistics, Ludwig-Maximilians-University Munich

[04/2012 - 06/2014]

Research Fellow, Institut of Medical Informatics, Justus-Liebig-University Giessen

[10/2009 - 03/2012]

Post-Doctoral Research Fellow, Department of Mathematics and Statistics, The Open University, United Kingdom

[10/2006 - 09/2009]

PhD in Statistics, Department of Mathematics and Statistics, The Open University, United Kingdom

[10/2004 - 07/2005]

MSc in Statistics, University of London - London School of Economics, United Kingdom

[05/2002 - 09/2006]

Research Assistant, Department of Statistics and Econometrics, University of Siegen

[09/1994 - 04/2002]

Diplom-Volkswirt and Diplom Kaufmann, Department of Economics, University of Siegen

Reasearch interests

•    Survival analysis
•    Multivariate methods
•    Computational statistics


Winter term 2020/21

  • Analysis of Time-to-Event Data

Summer term 2020

  • Clinical Trials

Some previously held courses

  • Linear Models and their Mathematical Foundations
  •  Multivariate Statistics
  •  Statistical Methods in Psychometrics (Ludwig Maximilians University Munich)

Munich R courses

Third-party funding

Principal investigator of a research grant funded by the German Research Foundation (DFG) entitled "Frailty modelling for multivariate current status data with applications in epidemiology" (Amount of funding: 295,600 Euro; Project duration: 3 years).


  • International Biometric Society


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