Binder

Prof. Dr.
Harald Binder
Institute for Medical Biometry and StatisticsHead of Institute
Phone: 0049-761-203-6662
binderh@imbi.uni-freiburg.de
https://www.uniklinik-freiburg.de/imbis-en
Phone: 0049-761-203-6662
binderh@imbi.uni-freiburg.de
https://www.uniklinik-freiburg.de/imbis-en
CV
- 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