The aim of the Research Training Group is the development and application of biostatistical methods for the analysis of high-dimensional data for modelling and risk assessment in toxicology. Doctoral researchers acquire knowledge in toxicology and the ability to develop and apply statistical methods for questions in pharmacological and environmental toxicology. In toxicology, innovative statistical methods are required to optimally exploit the ever-growing, heterogeneous, molecular flood of data for adequate modelling and risk prediction. In addition to conventional one-dimensional dose-response models, models that are more complex need to be developed. High-dimensional omics data are used in modelling both as an interaction factor for toxicological exposure and as a target.

In the working group Biostatistics at the IMSB, two doctoral researches work in this RTG in the Prediction field on project P7, where statistical methods for comparing dose-exposure curves fitted to gene expression data are developed.