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Prof. Dr. Harald Binder

Head of Institute

Photo - Harald Binder 
Phone: ++49 (0)761 203-6662
Fax: ++49 (0)761 203-6680
Medical Biometry and Statistics, Stefan-Meier-Str. 26
Room no.: 01-019

Research Interests

  • 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

Hess M, Lenz S, Blätte TJ, Bullinger L, Binder H. Partitioned learning of deep Boltzmann machines for SNP data. Bioinformatics. 2017; 33: 3173-3180 

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 Arztebl Int. 2015; 112(9), 137-142

König J, Krahn U, Binder H. Visualizing the flow of evidence in network meta-analysis and characterizing mixed treatment comparisons. Stat Med. 2014; 32(30), 5414-5429

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


University of Freiburg Research Database:

[2018] [2017] [2016] [2015] [2014] [Older publications]

Short CV

Since 2017 Full Professor for Medical Biometry and Statistics, University of Freiburg

2011-2017 Associate Professor for Medical Biometry, University Medical Center Mainz

2006-2011 Research Associate, University of Freiburg

2001-2006 PhD in Statistics, LMU Munich

1996-2001 Study of Psychology and Mathematical Behavioral Sciences, Regensburg and UC Irvine

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