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Prof. Dr.
Harald Binder

Institute for Medical Biometry and Statistics


  • 1996-2001 Studies of Psychology and Mathematical Behavioral Sciences, Regensburg and UC Irvine
  • 2001-2006 PhD in Statistics, LMU Munich
  • 2006-2011 Research Associate, University of Freiburg
  • 2011-2017 Associate Professor of Medical Biometry, University Medical Center Mainz
  • Since 2017 Full Professor of Medical Biometry and Statistics (W3), University of Freiburg

Focus of research

  • Integrative statistical modeling of molecular measurements together with clinical characteristics
  • Big Data techniques for clinical registries and routine data with complex time structure
  • Machine learning techniques with focus on deep learning for knowledge extraction from biomedical data with limited sample size

Selected publications

  • Poplawski A, Binder H. Feasibility of sample size calculation for RNA-seq studies. Brief Bioinform. 2017; doi: 10.1093/bib/bbw144.
  • Poplawski A, Marini F, Hess M, Zeller T, Mazur J, Binder H. Systematically evaluating interfaces for RNA-seq analysis from a life scientist perspective. Brief Bioinform. 2016; 17(2), 213-223.
  • Binder H, Blettner M. Big data in medical science – a biostatistical view. Dtsch Ärztebl Int. 2015; 112(9), 137-142.
  • Schmidtmann I, Elsäßer A, Weinmann A, Binder H. Coupled variable selection for regression modeling of complex treatment patterns in a clinical cancer registry. Stat Med. 2014; 33(30), 5358-5370.
  • König J, Krahn U, Binder H. Visualizing the flow of evidence in network meta-analysis and characterizing mixed treatment comparisons. Stat Med. 2013; 32(30), 5414-5429.

Research methods

  • Distributed computing for estimating statistical models while providing data protection in consortia
  • Web applications for making data analysis tools accessible