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Institut für Biostatistik

We are training Bsc and Msc Students in Biostatistics and advise them as well as doctoral and postdoctoral students in the statistical design and analysis of experiments. Here we use the open source statistical software R.

Our research is focused on simultaneous inference, and in particular their application in the agricultural sciences, life sciences and genetics. We try not only to develop new methodological approaches, but the associated algorithms as R packages in CRAN. We process deepened sub-themes in the EU FP-7 project, "Embryonic stem cell-based Novel Alternative Testing Strategies, ESNATS" and the DFG-project "Parametric and non-parametric simultaneous inference in complex designs. "

Germination data in : R. Mead, R.N. Curnow, and A.M. Hasted.
Statistical methods in agriculture and experimental biology. CRC Press, 2002.