Head of Division:
The division EuB represents two important methodological disciplines in medical research and patient care. We also pursue our own projects targeting reseach questions in the field of health care and epidemiology. We are committed to the principles of evidence-based medicine. Our mission is to improve health care in the region and beyond. All our main areas of research are closely interlinked.
In the Unit of Clinical Epidemiology (Prof. A. Timmer) we perform survey-based projects on the care of young and adult persons with chronic diseases. We also develop and validate survey instruments, technical solutions and innovative ways of analysis. We have, in addition, long standing expertise in the area of systematic reviews, in cooperation with Cochrane Germany, other Cochrane groups and methodologists. More recently, we have done work on validation of routine data in the context of multicentre drug safety studies. Lastly, innovative study designs for intervention research in community settings are of particular interest.
The Unit of Cancer Epidemiology (Omar Faruque) was established in view of the prominent role of cancer treatment in health care, as well as our close cooperation with the Epidemiological Cancer Registry of Lower Saxony, situated in Oldenburg and our colleagues at UMCG. We have ongoing projects on cancer care data with the Clinic for Hematology and Oncology and the Clinic for General and Visceral Surgery at Pius Hospital Oldenburg.
In the Unit on Biometrical Methods (Dr. Fabian Otto-Sobotka), methods for modelling patient-relevant measurements in the context of health care research are applied and further developed. Application examples are mobility measures in the project Äquipa, or patient satisfaction from the project Transition. The progression-free survival times of patients with mutated lung cancer beyond a mean value are also being investigated in the DFG project VREIZEIT using data from the University Clinic for Haematology and Oncology at the Pius Hospital Oldenburg. The problem of missing values in longitudinal EEG data is investigated in experiments of the Department of Assistance Systems and Medical Device Technology.