Biostatistics

Overview

Our group consists of scientists with mathematics and statistics background. We develop and apply probabilistic models and statistical methods for the analysis of biological data. The employed models range from differential equation (ODE, SDE, PDE) models to stochastic mixture models. Inference tools include classical estimation and test theory, regularised regression, Bayesian parameter estimation, machine learning and functional data analysis.

Our emphasis is on biological and medical applications, for example environmental health risks and genomic, transcriptomic and phenomic data analysis. We are working in close connection to other research teams of the Institute of Computational Biology. In addition, we offer support for statistical data exploration via the Core Facility Statistical Consulting.

Biostatistics group in October 2016. From left to right: Carla Roberts-Toler, Turid Frahnow, Norbert Krautenbacher, Hagen Scherb, Christiane Fuchs, Susanne Pieschner, Lisa Amrhein (source: HMGU).

We are among the winners of the Prostate Cancer DREAM Challenge!

As "A Bavarian Dream" we participated in the Prostate Cancer DREAM Challenge and finished up among the winning teams in both Subchallenges 1 and 2.

A joint publication by all participants has been appeared in The Lancet Oncology:

More information:

From left to right: Donna Pauler Ankerst, Norbert Krautenbacher, Michael Laimighofer, Christoph Kurz, Christiane Fuchs, Hagen Scherb, Ivan Kondofersky, Julia Söllner; not pictured: Philip Dargatz (source: HMGU).