The field of general practice and family medicine is diverse and has to deal with several complex health problems. Essential characteristics of general practitioner (GP) services cover among others a comprehensive, ...

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 analysis of longitudinal data plays an important role in medical research. The data is typically collected during follow-up visits in epidemiological observational studies. These studies often investigate the natural ...

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 ...

Mit dem immer umfassenderen Einsatz von Implantaten in der Zahnmedizin stellte sich die Frage, ob konventionelle Totalprothesen heute noch die zeitgemäße Versorgung zahnloser Kiefer darstellen.
Das Ziel dieser Arbeit ...

Background: 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 ...

Zielsetzung: Auf dem Gebiet der Neuroonkologie werden ständig neue Konzepte für individuelle, auf den Patienten abgestimmte Behandlungsstrategien entwickelt. Systemische Labormarker können Einblicke in die ...

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 ......

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, ...