Statistical Modeling of Primary Data Unit
The Statistical Modeling of Primary Data Unit is point of contact for all questions relating the statistical implications of the planning, implementation and evaluation of epidemiological studies. This applies to in-house research as well as to studies located outside the BIPS but requesting our methodological and statistical advice. In particular, our support refers to topics like sample size estimation, constructing questionnaires, advice on software and data management, formulating scientific issues to testable hypotheses, choosing the correct statistical test, or conducting the actual analyses, including a suitable representation and interpretation of results. However, the goal of the unit is not only the routinely preparation of statistical analyses, but also the adaptation and development of innovative design-specific methods. Specific focuses in this regard are the statistical modeling of nutritional data and the modeling of urban influence factors of lifestyle-related diseases by means of geographic information system (GIS).
Current Projects
Only currently running projects or those where publications are still in preparation or those that ended less than a year ago will be shown. The entries are sorted alphabetically.
- Adaption effectiveness study of the Healthy Dads, Healthy Kids [HDHK] programme in Germany
- Determinants of eating behaviour in European children, adolescents and their parents (I.Family)
- Development and evaluation of three-stage procedures for modeling exposure patterns in epidemiological studies
- Growing up healthy: Obesity prevention tailored to critical transition periods in the early life-course
- IDEFICS - Identification and prevention of dietary- and lifestyle-induced health effects in children and infants
- IDEFICS/I.Family Follow-up
- National research data infrastructure for personal health data
- NFDI4Health - task force COVID-19: Better understanding the COVID-19 outbreak and its consequences through integrated and harmonised research efforts
- Physical activity and health equity: Primary prevention for healthy ageing (AEQUIPA I)
- Pooled analysis of European case-control studies on the interaction of occupational carcinogens in the development of lung cancer
- Record linkage of cancer registry data and multimodal, reporting-based diagnostic data for Al-based biomarker detection
- Sitting and standing in school - A feasibility study on the use of standing desks in primary schools
- Spatial-temporal analysis of small-scale determinants of the COVID-19 pandemic
- Wearable sensors for the assessment of physical and eating behaviours (WEALTH)
Staff
Buck, Christoph, Dr.
Tel.: +49 (0)421 218-56944
Fax: +49 (0)421 218-56941
buck(at)leibniz-bips.de
Intemann, Timm, Dr.
Tel.: +49 (0)421 218-56984
Fax: +49 (0)421 218-56921
intemann(at)leibniz-bips.de
Peters, Manuela
Tel.: +49 (0)421 218-56924
Fax: +49 (0)421 218-56941
mpeters(at)leibniz-bips.de
Pohlabeln, Hermann, Dr.
Tel.: +49 (0)421 218-56947
Fax: +49 (0)421 218-56941
pohlabeln(at)leibniz-bips.de
Swenne, Annika
Tel.: +49 (0)421 218-56750
Fax: +49 (0)421 218-56941
swenne(at)leibniz-bips.de
Hermann Pohlabeln
Head of Unit
Contact:
Dr. Hermann Pohlabeln
Tel: +49 (0)421 218-56947
Fax: +49 (0)421 218-56941
More units and research groups
- Statistical Modeling of Primary Data
- Statistical Modeling of Secondary and Registry Data
- Statistical Methods for Genetics and Molecular Epidemiology
- IT, Data Management and Medical Documentation
- Statistical Methods for Causal Inference Research Group
- Emmy Noether Junior Research Group: Beyond Prediction - Statistical Inference with Machine Learning