In times of growing availability of large biobanks with extensive genetic data, polygenic prediction modeling has gained importance and aims at capturing an individual's genetic predisposition to specific, often complex, ...

Health-related research questions require methods that can deal with the growing complexity and dimensionality of biomedical data sets. A popular alternative to common parametric regression approaches are tree-based models, ...

The gut microbiome plays a crucial role in the gut brain axis, especially by modulating the immune system, influencing metabolism, protecting against pathogens, and impacting mental well-being. Therefore, it can be modulated ...

<strong>Background:</strong> The COVID-19 pandemic has highlighted the importance of environmental stressors in influencing viral transmission. While existing research has primarily focused on the short-term effects of ...

Background: About ten percent of European households are unable to cover payment obligations and living expenses with available income and assets on an ongoing basis, and are thus considered over-indebted. Mounting ...

Clinical decision-making often relies on quantitative measures derived from statistical time-to-event models, enabling risk assessment through the quantification of survival probabilities. A key goal of these modeling ...

Large, complex datasets are becoming increasingly important in biomedical research. Such datasets typically feature a high number of variables per subject, multiple outcomes and complex dependency structures. While they ...